Carol A Barnes
- Director, Evelyn F McKnight Brain Institute
- Professor, Psychology
- Director, Neural Systems-Memory and Aging
- Regents Professor
- Endowed Chair, Evelyn F McKnight Brain Institute for Learning-Memory Aging
- Professor, BIO5 Institute
- Professor, Cancer Biology - GIDP
- Professor, Neuroscience - GIDP
- Professor, Physiological Sciences - GIDP
- Member of the Graduate Faculty
- Professor, Translational Neuroscience
- (520) 626-2616
- Life Sciences North, Rm. 355
- Tucson, AZ 85724
- carol@nsma.arizona.edu
Biography
Barnes has been interested in the brain circuits responsible for memory and how these circuits change during aging for over 4 decades. She has applied behavioral and electrophysiological methods to the study of plasticity and circuit properties of the medial temporal lobe over that time, including in vivo evoked field potential recordings in chronically-implanted freely-behaving rats, and intracellular and extracellular recordings in vitro. She was instrumental (with McNaughton) in the development of ensemble tetrode recording methods for single units in awake young and old rats. More recently she has extended these methods to young and aged nonhuman primates, with chronic implants of hyperdrive recording devices that are capable of individually lowering multiple tetrodes into the hippocampus while monkeys behave. Another approach she uses to understand behavior-driven circuits is the single cell gene expression imaging method “catFISH”, which was developed in her laboratory (Guzowski et al., 1999). The immediate early gene Arc is induced in a cell-specific fashion in the brain by neural activity associated with attentive, active behavior. With this method the activity history of individual cells in a population can be determined for two different time points within the same animal (ex vivo). This method contributed to moving the field closer to the goal of behavior-driven whole brain imaging with single cell resolution. Barnes directs the Evelyn F. McKnight Brain Institute at the University of Arizona and the Division of Neural Systems, Memory and Aging. She is actively involved in collaborative projects with scientists within the state of Arizona, across the United States and the world. She has a track record of conducting difficult, systematic and thorough studies with interdisciplinary teams, as well as with her own students and postdoctoral fellows – projects that have been followed through to publication (as of January 2021, 280 total, H index 104), a number of which are now classic references on brain aging and behavior.
Degrees
- Ph.D. Psychology
- Carleton University, Ottawa, Ontario, Canada
- Memory deficits associated with senescence: A neurophysiological and behavioral study in the rat
- M.A. Psychology
- Carleton University, Ottawa, Ontario, Canada
- Tolerance to delta-9 tetrahydrocannabinol in adult rats with differential drug exposure during infancy
- B.A. Psychology
- University of California, Riverside, California
Work Experience
- University of Arizona, Tucson, Arizona (2009 - 2015)
- University of Arizona, Tucson, Arizona (2008 - Ongoing)
- University of Arizona, Tucson, Arizona (2006 - Ongoing)
- University of Arizona, Tucson, Arizona (2006 - Ongoing)
- University of Ariona (2006 - Ongoing)
- University of Arizona, Tucson, Arizona (1990 - Ongoing)
- University of Colorado, Boulder, Colorado (1989 - 1990)
- University of Colorado, Boulder, Colorado (1985 - 1989)
- University of Colorado, Boulder, Colorado (1982 - 1985)
- University College London (1981 - 1982)
- University of Oslo (1979 - 1981)
- Dalhousie University (1977 - 1978)
Awards
- Elected Member
- National Academy of Sciences, Spring 2018
- Local Genius Award
- Museum of Contemporary Art Tucson, Spring 2018
- 27th Annual Quad-L Award Award
- University of New Mexico, Fall 2017
- American Psychological Association Award for Distinguished Scientific Contributions
- American Psychology Association, Spring 2014
- Ralph W. Gerard Prize in Neuroscience
- Society for Neuroscience, Fall 2013
Interests
Teaching
Barnes has taught a senior undergraduate/graduate level interdisciplinary course in Gerontology. The topics include include the biology, psychology and sociology of aging.
Research
The neurobiology of memory change during aging.
Courses
2024-25 Courses
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Research
PS 900 (Fall 2024)
2023-24 Courses
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Directed Research
PSYS 492 (Spring 2024) -
Dissertation
NRSC 920 (Spring 2024) -
Honors Independent Study
NROS 399H (Spring 2024) -
Independent Study
PSIO 499 (Spring 2024) -
Research
NRSC 900 (Spring 2024) -
Research
PS 900 (Spring 2024) -
Directed Research
PSYS 492 (Fall 2023) -
Dissertation
NRSC 920 (Fall 2023) -
Honors Independent Study
NROS 399H (Fall 2023) -
Independent Study
NROS 399 (Fall 2023) -
Methods In Neuroscience
NRSC 700 (Fall 2023) -
Research
NRSC 900 (Fall 2023) -
Rsrch Meth Psio Sci
PS 700 (Fall 2023)
2022-23 Courses
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Dissertation
NRSC 920 (Spring 2023) -
Honors Directed Research
PSYS 492H (Spring 2023) -
Honors Thesis
MCB 498H (Spring 2023) -
Honors Thesis
NSCS 498H (Spring 2023) -
Honors Thesis
PSY 498H (Spring 2023) -
Independent Study
ECOL 299 (Spring 2023) -
Research
NRSC 900 (Spring 2023) -
Research
PS 900 (Spring 2023) -
Thesis
PS 910 (Spring 2023) -
Directed Rsrch
MCB 392 (Fall 2022) -
Directed Rsrch
MCB 492 (Fall 2022) -
Dissertation
NRSC 920 (Fall 2022) -
Honors Directed Research
PSYS 392H (Fall 2022) -
Honors Thesis
MCB 498H (Fall 2022) -
Honors Thesis
NSCS 498H (Fall 2022) -
Honors Thesis
PSY 498H (Fall 2022) -
Independent Study
MCB 399 (Fall 2022) -
Methods In Neuroscience
NRSC 700 (Fall 2022) -
Research
NRSC 900 (Fall 2022) -
Research
PS 900 (Fall 2022) -
Thesis
PS 910 (Fall 2022)
2021-22 Courses
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Directed Rsrch
MCB 492 (Spring 2022) -
Dissertation
NRSC 920 (Spring 2022) -
Honors Directed Research
PSYS 392H (Spring 2022) -
Research
NRSC 900 (Spring 2022) -
Research
PS 900 (Spring 2022) -
Dissertation
NRSC 920 (Fall 2021) -
Methods In Neuroscience
NRSC 700 (Fall 2021) -
Research
NRSC 900 (Fall 2021) -
Rsrch Meth Biomed Engr
BME 592 (Fall 2021) -
Rsrch Meth Psio Sci
PS 700 (Fall 2021)
2020-21 Courses
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Directed Research
PSYS 492 (Spring 2021) -
Dissertation
NRSC 920 (Spring 2021) -
Honors Thesis
NSCS 498H (Spring 2021) -
Honors Thesis
PSIO 498H (Spring 2021) -
Independent Study
NSCS 499 (Spring 2021) -
Research
NRSC 900 (Spring 2021) -
Directed Research
PSYS 492 (Fall 2020) -
Dissertation
NRSC 920 (Fall 2020) -
Honors Thesis
NSCS 498H (Fall 2020) -
Honors Thesis
PSIO 498H (Fall 2020) -
Methods In Neuroscience
NRSC 700 (Fall 2020) -
Research
NRSC 900 (Fall 2020)
2019-20 Courses
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Methods In Neuroscience
NRSC 700 (Summer I 2020) -
Directed Research
PSYS 392 (Spring 2020) -
Directed Research
PSYS 492 (Spring 2020) -
Dissertation
NRSC 920 (Spring 2020) -
Honors Independent Study
NSCS 499H (Spring 2020) -
Honors Independent Study
PSIO 499H (Spring 2020) -
Honors Thesis
BIOC 498H (Spring 2020) -
Honors Thesis
NSCS 498H (Spring 2020) -
Independent Study
NSCS 399 (Spring 2020) -
Independent Study
PSY 399 (Spring 2020) -
Methods In Neuroscience
NRSC 700 (Spring 2020) -
Directed Research
PSYS 492 (Fall 2019) -
Honors Independent Study
PSIO 399H (Fall 2019) -
Honors Thesis
BIOC 498H (Fall 2019) -
Honors Thesis
NSCS 498H (Fall 2019) -
Honors Thesis
PSIO 498H (Fall 2019) -
Methods In Neuroscience
NRSC 700 (Fall 2019) -
Research
NRSC 900 (Fall 2019)
2018-19 Courses
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Directed Research
NSCS 392 (Spring 2019) -
Dissertation
NRSC 920 (Spring 2019) -
Honors Directed Research
BIOC 492H (Spring 2019) -
Honors Directed Research
PSYS 392H (Spring 2019) -
Honors Independent Study
NSCS 399H (Spring 2019) -
Honors Independent Study
PSIO 399H (Spring 2019) -
Honors Thesis
NSCS 498H (Spring 2019) -
Honors Thesis
PSIO 498H (Spring 2019) -
Research
NRSC 900 (Spring 2019) -
Senior Capstone
BIOC 498 (Spring 2019) -
Directed Research
NSCS 392 (Fall 2018) -
Dissertation
NRSC 920 (Fall 2018) -
Honors Directed Research
BIOC 392H (Fall 2018) -
Honors Thesis
NSCS 498H (Fall 2018) -
Research
NRSC 900 (Fall 2018) -
Senior Capstone
BIOC 498 (Fall 2018)
2017-18 Courses
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Directed Research
BIOC 492 (Spring 2018) -
Directed Rsrch
MCB 392 (Spring 2018) -
Dissertation
NRSC 920 (Spring 2018) -
Honors Independent Study
MCB 499H (Spring 2018) -
Independent Study
NSCS 499 (Spring 2018) -
Methods In Neuroscience
NRSC 700 (Spring 2018) -
Dissertation
NRSC 920 (Fall 2017) -
Honors Independent Study
BIOC 299H (Fall 2017) -
Honors Independent Study
MCB 499H (Fall 2017) -
Honors Independent Study
PSIO 399H (Fall 2017) -
Independent Study
NSCS 499 (Fall 2017) -
Thesis
MCB 910 (Fall 2017)
2016-17 Courses
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Thesis
MCB 910 (Summer I 2017) -
Thesis
NRSC 910 (Summer I 2017) -
Directed Research
BIOC 392 (Spring 2017) -
Directed Research
NSCS 492 (Spring 2017) -
Dissertation
NRSC 920 (Spring 2017) -
Honors Independent Study
NSCS 499H (Spring 2017) -
Honors Thesis
NSCS 498H (Spring 2017) -
Independent Study
NSCS 399 (Spring 2017) -
Independent Study
PSIO 399 (Spring 2017) -
Independent Study
PSY 399 (Spring 2017) -
Research
NRSC 900 (Spring 2017) -
Thesis
MCB 910 (Spring 2017) -
Directed Research
NSCS 392 (Fall 2016) -
Directed Rsrch
MCB 392 (Fall 2016) -
Dissertation
NRSC 920 (Fall 2016) -
Gero:Multidiscipln Persp
CPH 524 (Fall 2016) -
Gero:Multidiscipln Persp
PSY 424 (Fall 2016) -
Gero:Multidiscipln Persp
PSY 524 (Fall 2016) -
Honors Thesis
NSCS 498H (Fall 2016) -
Independent Study
ECOL 499 (Fall 2016) -
Independent Study
PSY 299 (Fall 2016) -
Methods In Neuroscience
NRSC 700 (Fall 2016) -
Research
NRSC 900 (Fall 2016) -
Thesis
MCB 910 (Fall 2016)
2015-16 Courses
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Directed Research
NSCS 392 (Spring 2016) -
Directed Rsrch
MCB 392 (Spring 2016) -
Dissertation
NRSC 920 (Spring 2016) -
Honors Independent Study
NSCS 399H (Spring 2016) -
Honors Thesis
BIOC 498H (Spring 2016) -
Honors Thesis
NSCS 498H (Spring 2016) -
Methods In Neuroscience
NRSC 700 (Spring 2016) -
Research
NRSC 900 (Spring 2016)
Scholarly Contributions
Chapters
- Barnes, C. A. (2018). The contribution of recollection, familiarity and discrimination to object recognition deficits in advanced age.. In Handbook of Object Novelty Recognition(pp pp: 291-305). Volume 27: London: Academic Press:.
- Schimanski, L. A., & Barnes, C. A. (2015). Insights into age-related cognitive decline: Coupling neurophysiological and behavioral approaches.. In The Maze Book: Your Guidebook to Theories, Practice, and Protocols for Testing Rodent Cognition(pp 121-142). New York: Springer.
- Siniard, A. A., Corneveaux, J. J., DeBoth, M., Barnes, C. A., & Huentelman, M. J. (2015). RNA sequencing from laser capture microdissected brain tissue to study normal aging and Alzheimer’s disease. In Applied Neurogenomics(pp 111-120). New York: Spring.
- Siniard, A. L., Corneveaux, J. J., Chawla, M. K., Barnes, C. A., Huentelman, M. J., & Both, M. D. (2015).
RNA Sequencing from Laser Capture Microdissected Brain Tissue to Study Normal Aging and Alzheimer’s Disease
. In Applied Neurogenomics(pp 111-120). Humana Press, New York, NY. doi:10.1007/978-1-4939-2247-5_4More infoThe next-generation sequencing (NGS) of RNA, or RNA-Seq, has significantly changed the way that the transcriptional content of a biological sample is investigated. RNA-Seq is a major advance for the field due to its largely unbiased and digital nature, its ability to empower RNA splice form construction at a genomic level, and its improved dynamic range when compared to a microarray technology. Investigating the healthy or diseased brain presents unique problems from the standpoint of transcriptional analysis as each cell type, and perhaps even each individual cell, is in a unique state of transcription. The organ is a complex mixture of main cell types (neuronal, glial, vascular, etc.), and within each of those types, there are a multitude of subtypes (specific neuronal populations, different classes of glial cells, etc.) that could each be targeted for investigation and could each respond to health and disease in distinct and functionally important ways. Here, we discuss the approach of using laser capture microdissection (LCM) to specifically select cell types of interest for transcriptional dissection. We highlight approaches to couple this with RNA-Seq to generate highly specific transcriptional profiles from the brain. Sample inputs into RNA-Seq protocols continue to be pushed lower, including several reports of single-cell transcriptome profiles; therefore, the combination of cell selection approaches, like LCM, with RNA-Seq is well poised to provide a researcher with the cell-specific digital whole transcriptome information that has been desired since transcriptomic profiling became feasible during the earliest days of the microarray. - , ., Barnes, C. A., Goertz, M. E., & Massell, D. (2014).
How State Education Agencies Acquire and Use Research Knowledge for School Improvement
. In Using Research Evidence in Education. doi:10.1007/978-3-319-04690-7_8 - Barnes, C. A., Erickson, C. A., Erickson, C. A., Davis, S., & Mcnaughton, B. L. (2012).
Hippocampal Synaptic Enhancement as a Basis for Learning and Memory: A Selected Review of Current Evidence from Behaving Animals
. In Brain and Memory: Modulation and Mediation of Neuroplasticity(pp 259-276). Oxford University Press. doi:10.1093/ACPROF:OSO/9780195082944.003.0016 - Hoang, L. T., Lister, J. P., & Barnes, C. A. (2012).
The Ageing Hippocampus
. In The Clinical Neurobiology of the Hippocampus: An integrative view(pp 152-173). Oxford University Press. doi:10.1093/ACPROF:OSO/9780199592388.003.0009More infoThis chapter reviews alterations observed in the hippocampus during normative ageing in the absence of pathology. Topics include discussions of age-related spatial memory deficits across mammalian species, as well as neuroanatomical, biophysical, and electrophysiological changes observed in the aged hippocampus. Further, the impact that these changes might have on plasticity mechanisms and dynamic processes such as gene expression and epigenetic modifications over the lifespan is discussed. Special emphasis is given to the fact that normative ageing is distinct from neuropathological states such as Alzheimer’s disease. Moreover, this overview highlights how the study of normal ageing in the hippocampus has furthered the understanding of the specificity of pathological processes as well as presented possible avenues for the development of interventions, treatments, or therapeutic strategies for optimizing cognition during the normal life course. - Burke, S. N., & Barnes, C. A. (2008).
Aging Ensembles: Circuit Contributions to Memory Deficits
. In Hippocampal Place Fields: Relevance to Learning and Memory(pp 364-384). Oxford University Press. doi:10.1093/ACPROF:OSO/9780195323245.003.0028More infoThis chapter reviews current knowledge about aged neural ensembles in the hippocampus and how alterations in the dynamics of these circuits are linked to memory decline. Topics discussed include fundamental properties of place cells in young and old rats, advanced age and the dynamic properties of hippocampal place cells, and memory decline. It is shown that old rats have notable differences in the dynamic properties of CA1 place fields, and several of these differences correspond with observed age-associated behavioral deficits. Aged rats fail to show experience-dependent place field expansion plasticity to the same extent as young rats. Between episodes of experience in a single environment, aged rats are also impaired at maintaining stable spatial representations in the CA1 subregion of the hippocampus. This observation is consistent with the finding that old rats exhibit impaired performance on tasks requiring the solution of an allocentric spatial reference frame. - Penner, M. R., & Barnes, C. A. (2007).
Memory Changes with Age. Neurobiological Correlates
. In Neurobiology of Learning and Memory (Second Edition)(pp 483-518). Academic Press. doi:10.1016/B978-012372540-0/50016-9More infoPublisher Summary This chapter highlights selected domains of cognition that can be studied across mammalian species and that have known age-related neurobiological underpinnings. Research aimed at understanding the aging process, including the change of learning and memory processes with respect to age, provides the basis for the development of better preventative strategies and treatment strategies for successful ageing (particularly older population). In the general field of aging research, the focus has been on the pathological aging that may be associated with diseases such as Alzheimer's disease (AD). Many people do not develop dementing conditions such as AD with age; instead, most people develop mild memory deficits known as age-associated memory impairment (AAMI).There is a large literature that has examined the impact of aging process on learning and memory function. Tasks in which age-related impairments have been found include classical conditioning, such as eyeblink and heart rate conditioning, conditioned taste aversion, fear conditioning, operant tasks such delayed matching-to-sample and delayed nonmatching-to-sample tasks, and instrumental tasks such as active avoidance, passive avoidance, and maze learning tasks. The studies discussed in the chapter focus on the form of learning and memory that involves the ability of an organism to acquire and retain information that is critical for successful navigation through space. The discussion includes the process of learning and memory with respect to both humans and rodents, the involvement of the hippocampus in spatial learning and memory, and normal brain aging outside the hippocampus. - Naughton, B. L., Naughton, B. L., Barnes, C. A., Battaglia, F. P., Bower, M. R., Cowen, S. L., Ekstrom, A. D., Ekstrom, A. D., Gerrard, J. L., Hofman, K. L., Houston, F. P., Karten, Y., Lipa, P., Pennartz, C. M., Pennartz, C. M., Sutherland, G. R., & Cowen, S. L. (2003).
Off-line reprocessing of recent memory and its role in memory consolidation: a progress report
. In Sleep and Brain Plasticity(pp 225-246). Oxford University Press.More infoThis chapter reviews the theoretical considerations for why the brain might require an active reprocessing of memories during periods when it is relatively ‘disconnected’ from external input. It summarizes the current understanding of the phenomenon based on neurophysiological investigations in animals. - Goddard, G. V., Mcnaughton, B. L., Douglas, R. M., & Barnes, C. A. (1978).
Synaptic Change in the Limbic System; Evidence from Studies Using Electrical Stimulation with and without Seizure Activity
. In Limbic Mechanisms:The Continuing Evolution of the Limbic System Concept(pp 355-368). Springer, Boston, MA. doi:10.1007/978-1-4757-0716-8_14More infoAgents with the potential to induce seizure-like discharge in the limbic system also have the potential to induce permanent alteration in that system. The most dramatic set of alterations have been called, collectively, the kindling effect (Goddard, McIntyre & Leech, 1969). Kindling is observed when an agent is applied mildly, repeatedly, usually once per day, and the response to that agent progressively changes until it includes a major clinical convulsion. If the treatments are discontinued, the system does not return to normal, but remains in a state of readiness even for a year or more. It will respond with convulsions to unusually low doses or gentle application of a wide range of the known epileptogenic agents (Pinel & Van Oot, 1976). When sufficient time is allowed between treatments, the sensitivity of the convulsive response may continue to increase; and, in some cases after many repetitions, the convulsions may recur spontaneously (Wada, Sato & Corcoran, 1974; Wada, Osawa & Mizoguchi, 1976; Pinel, Mucha & Phillips, 1975).
Journals/Publications
- Barnes, C. A., Ekstrom, A. D., Garren, J. D., Grilli, M. D., Hill, P. F., & McAvan, A. S. (2023).
Age differences in spatial memory are mitigated during naturalistic navigation
. bioRxiv (Cold Spring Harbor Laboratory). doi:10.1101/2023.01.23.525279More infoAbstract Spatial navigation deficits in older adults are well documented. These findings are based on experimental paradigms that require using a joystick or keyboard to navigate a virtual desktop environment. In the present study, cognitively normal young and older adults navigated in each of two virtual reality (VR) conditions: a desktop VR condition which required using a mouse and keyboard to navigate and an immersive and ambulatory VR condition which permitted unrestricted locomotion. Consistent with past studies, older adults navigated to target locations less precisely than did younger individuals in the desktop condition. These age differences were significantly attenuated when tested in the immersive environment. Additional analyses indicated that older adults showed a preference for route-based search strategies compared to young adults, regardless of condition. These findings suggest that certain aspects of navigation performance in older adults are improved in paradigms that offer a fuller range of enriched and naturalistic cues. - Barnes, C. A., Gray, D. T., Härtig, W., Khattab, S., McDermott, K., Meltzer, J., Schwyhart, R., & Sinakevitch, I. (2022).
Retrosplenial cortex microglia and perineuronal net densities are associated with memory impairment in aged rhesus macaques
. Cerebral Cortex, 33(8), 4626-4644. doi:10.1093/cercor/bhac366 - Fox, A. S., Holley, D., Klink, P. C., Arbuckle, S. A., Barnes, C. A., Diedrichsen, J., Kwok, S. C., Kyle, C., Pruszynski, J. A., Seidlitz, J., Zhou, X., Poldrack, R. A., & Gorgolewski, K. J. (2021). Sharing voxelwise neuroimaging results from rhesus monkeys and other species with Neurovault. NeuroImage, 225, 117518.More infoAnimal neuroimaging studies can provide unique insights into brain structure and function, and can be leveraged to bridge the gap between animal and human neuroscience. In part, this power comes from the ability to combine mechanistic interventions with brain-wide neuroimaging. Due to their phylogenetic proximity to humans, nonhuman primate neuroimaging holds particular promise. Because nonhuman primate neuroimaging studies are often underpowered, there is a great need to share data amongst translational researchers. Data sharing efforts have been limited, however, by the lack of standardized tools and repositories through which nonhuman neuroimaging data can easily be archived and accessed. Here, we provide an extension of the Neurovault framework to enable sharing of statistical maps and related voxelwise neuroimaging data from other species and template-spaces. Neurovault, which was previously limited to human neuroimaging data, now allows researchers to easily upload and share nonhuman primate neuroimaging results. This promises to facilitate open, integrative, cross-species science while affording researchers the increased statistical power provided by data aggregation. In addition, the Neurovault code-base now enables the addition of other species and template-spaces. Together, these advances promise to bring neuroimaging data sharing to research in other species, for supplemental data, location-based atlases, and data that would otherwise be relegated to a "file-drawer". As increasing numbers of researchers share their nonhuman neuroimaging data on Neurovault, this resource will enable novel, large-scale, cross-species comparisons that were previously impossible.
- Alexander, G. E., Lin, L., Yoshimaru, E. S., Bharadwaj, P. K., Bergrield, K. L., Hoang, L. T., Chawla, M. K., Chen, K., Moeller, J. R., Barnes, C. A., & Trouard, T. P. (2020). Age-related regional network covariance of magnetic resonance imaging gray matter in the rat.. Frontiers in Aging Neuroscience. doi:doi: 10.3389/fnagi.2020.00267
- Cowen, S. L., Gray, D. T., Wiegand, J. L., Schimanski, L. A., & Barnes, C. A. (2020). Age-associated changes in waking hippocampal sharp-wave ripples.. Hippocampus, 30, 28-38.
- Gray, D. T., De La Peña, N. M., Umapathy, L., Burke, S. N., Engle, J. R., Trouard, T. P., & Barnes, C. A. (2020). Auditory and Visual System White Matter Is Differentially Impacted by Normative Aging in Macaques. The Journal of neuroscience : the official journal of the Society for Neuroscience, 40, 8913-8923.More infoDeficits in auditory and visual processing are commonly encountered by older individuals. In addition to the relatively well described age-associated pathologies that reduce sensory processing at the level of the cochlea and eye, multiple changes occur along the ascending auditory and visual pathways that further reduce sensory function in each domain. One fundamental question that remains to be directly addressed is whether the structure and function of the central auditory and visual systems follow similar trajectories across the lifespan or sustain the impacts of brain aging independently. The present study used diffusion magnetic resonance imaging and electrophysiological assessments of auditory and visual system function in adult and aged macaques to better understand how age-related changes in white matter connectivity at multiple levels of each sensory system might impact auditory and visual function. In particular, the fractional anisotropy (FA) of auditory and visual system thalamocortical and interhemispheric corticocortical connections was estimated using probabilistic tractography analyses. Sensory processing and sensory system FA were both reduced in older animals compared with younger adults. Corticocortical FA was significantly reduced only in white matter of the auditory system of aged monkeys, while thalamocortical FA was lower only in visual system white matter of the same animals. Importantly, these structural alterations were significantly associated with sensory function within each domain. Together, these results indicate that age-associated deficits in auditory and visual processing emerge in part from microstructural alterations to specific sensory white matter tracts, and not from general differences in white matter condition across the aging brain. Age-associated deficits in sensory processing arise from structural and functional alterations to both peripheral sensory organs and central brain regions. It remains unclear whether different sensory systems undergo similar or distinct trajectories in function across the lifespan. To provide novel insights into this question, this study combines electrophysiological assessments of auditory and visual function with diffusion MRI in aged macaques. The results suggest that age-related sensory processing deficits in part result from factors that impact the condition of specific white matter tracts, and not from general decreases in connectivity between sensory brain regions. Such anatomic specificity argues for a framework aimed at understanding vulnerabilities with relatively local influence and brain region specificity.
- Gray, D. T., Umapathy, L., De La Peña, N. M., Burke, S. N., Engle, J. R., Trouard, T. P., & Barnes, C. A. (2020). Auditory Processing Deficits Are Selectively Associated with Medial Temporal Lobe Mnemonic Function and White Matter Integrity in Aging Macaques. Cerebral cortex (New York, N.Y. : 1991), 30(5), 2789-2803.More infoDeficits in auditory function and cognition are hallmarks of normative aging. Recent evidence suggests that hearing-impaired individuals have greater risks of developing cognitive impairment and dementia compared to people with intact auditory function, although the neurobiological bases underlying these associations are poorly understood. Here, a colony of aging macaques completed a battery of behavioral tests designed to probe frontal and temporal lobe-dependent cognition. Auditory brainstem responses (ABRs) and visual evoked potentials were measured to assess auditory and visual system function. Structural and diffusion magnetic resonance imaging were then performed to evaluate the microstructural condition of multiple white matter tracts associated with cognition. Animals showing higher cognitive function had significantly better auditory processing capacities, and these associations were selectively observed with tasks that primarily depend on temporal lobe brain structures. Tractography analyses revealed that the fractional anisotropy (FA) of the fimbria-fornix and hippocampal commissure were associated with temporal lobe-dependent visual discrimination performance and auditory sensory function. Conversely, FA of frontal cortex-associated white matter was not associated with auditory processing. Visual sensory function was not associated with frontal or temporal lobe FA, nor with behavior. This study demonstrates significant and selective relationships between ABRs, white matter connectivity, and higher-order cognitive ability.
- Hay, M., Barnes, C., Huentelman, M., Brinton, R., & Ryan, L. (2020). Hypertension and Age-Related Cognitive Impairment: Common Risk Factors and a Role for Precision Aging. Current hypertension reports, 22(10), 80.More infoPrecision Aging® is a novel concept that we have recently employed to describe how the model of precision medicine can be used to understand and define the multivariate risks that drive age-related cognitive impairment (ARCI). Hypertension and cardiovascular disease are key risk factors for both brain function and cognitive aging. In this review, we will discuss the common mechanisms underlying the risk factors for both hypertension and ARCI and how the convergence of these mechanisms may be amplified in an individual to drive changes in brain health and accelerate cognitive decline.
- Huentelman, M. J., Talboom, J. S., Lewis, C. R., Chen, Z., & Barnes, C. A. (2020). Reinventing Neuroaging Research in the Digital Age. Trends in neurosciences, 43(1), 17-23.More infoThe worldwide average human lifespan has increased over the past century. These changing demographics demand a reinvention of experimental approaches to study the brain and aging, with the aim of better matching cognitive healthspan with human lifespan. Past studies of cognitive aging included sample sizes that tended to be underpowered, were not sufficiently representative of national population characteristics, and often lacked longitudinal assessments. As a step to address these shortcomings, we propose a framework that encourages interaction between electronic-based and face-to-face study designs. We argue that this will achieve the necessary synergy to accelerate progress in the discovery and application of personalized interventions to optimize brain and cognitive health.
- Lester, A. W., Kapellusch, A. J., & Barnes, C. A. (2020). A novel apparatus for assessing virtual cue-based navigation in rodents.. Journal of Neuroscience Methods. doi:https://doi.org/10.1016/j.jneumeth.2020.10866
- Alexander, G. E., Barnes, C. A., Biwer, L. A., Chawla, M. K., Coleman, P. D., De Both, M., Fitzhugh, M. C., Hale, T. M., Hoang, L. T., Huentelman, M., Mitchell, K. D., Trouard, T. P., Uprety, A. R., Willeman, M. N., & Zempare, M. A. (2019).
Gradual hypertension induction in middle‐aged Cyp1a1‐Ren2 transgenic rats produces significant impairments in spatial learning
. Physiological Reports, 7(6), e14010. doi:10.14814/phy2.14010More infoHypertension is a major health concern in the developed world, and its prevalence increases with advancing age. The impact of hypertension on the function of the renal and cardiovascular systems is well studied; however, its influence on the brain regions important for cognition has garnered less attention. We utilized the Cyp1a1-Ren2 xenobiotic-inducible transgenic rat model to mimic both the age of onset and rate of induction of hypertension observed in humans. Male, 15-month-old transgenic rats were fed 0.15% indole-3-carbinol (I3C) chow to slowly induce renin-dependent hypertension over a 6-week period. Systolic blood pressure significantly increased, eventually reaching 200 mmHg by the end of the study period. In contrast, transgenic rats fed a control diet without I3C did not show significant changes in blood pressure (145 mmHg at the end of study). Hypertension was associated with cardiac, aortic, and renal hypertrophy as well as increased collagen deposition in the left ventricle and kidney of the I3C-treated rats. Additionally, rats with hypertension showed reduced savings from prior spatial memory training when tested on the hippocampus-dependent Morris swim task. Motor and sensory functions were found to be unaffected by induction of hypertension. Taken together, these data indicate a profound effect of hypertension not only on the cardiovascular-renal axis but also on brain systems critically important for learning and memory. Future use of this model and approach may empower a more accurate investigation of the influence of aging on the systems responsible for cardiovascular, renal, and neurological health. - Barnes, C. A., & Gray, D. T. (2019).
Experiments in macaque monkeys provide critical insights into age-associated changes in cognitive and sensory function
. Proceedings of the National Academy of Sciences, 116(52), 26247-26254. doi:10.1073/pnas.1902279116More infoThe use of animal models in brain aging research has led to numerous fundamental insights into the neurobiological processes that underlie changes in brain function associated with normative aging. Macaque monkeys have become the predominant nonhuman primate model system in brain aging research due to their striking similarities to humans in their behavioral capacities, sensory processing abilities, and brain architecture. Recent public concern about nonhuman primate research has made it imperative to attempt to clearly articulate the potential benefits to human health that this model enables. The present review will highlight how nonhuman primates provide a critical bridge between experiments conducted in rodents and development of therapeutics for humans. Several studies discussed here exemplify how nonhuman primate research has enriched our understanding of cognitive and sensory decline in the aging brain, as well as how this work has been important for translating mechanistic implications derived from experiments conducted in rodents to human brain aging research. - Barnes, C. A., Bertinelli, S. F., De Both, M. D., Fritz, M. A., Glisky, E., Hammersland, C., Hay, M., Huentelman, M. J., Håberg, A., Lewis, C. R., Myers, A. J., Naymik, M. A., Ryan, L., Schrauwen, I., & Talboom, J. S. (2019).
Author response: Family history of Alzheimer’s disease alters cognition and is modified by medical and genetic factors
. eLife. doi:10.7554/elife.46179.018 - Barnes, C. A., Bertinelli, S. F., De Both, M. D., Fritz, M. A., Glisky, E., Hammersland, C., Hay, M., Huentelman, M. J., Håberg, A., Lewis, C. R., Myers, A. J., Naymik, M. A., Ryan, L., Schrauwen, I., & Talboom, J. S. (2019).
Family history of Alzheimer’s disease alters cognition and is modified by medical and genetic factors
. eLife, 8. doi:10.7554/elife.46179More infoIn humans, a first-degree family history of dementia (FH) is a well-documented risk factor for Alzheimer’s disease (AD); however, the influence of FH on cognition across the lifespan is poorly understood. To address this issue, we developed an internet-based paired-associates learning (PAL) task and tested 59,571 participants between the ages of 18–85. FH was associated with lower PAL performance in both sexes under 65 years old. Modifiers of this effect of FH on PAL performance included age, sex, education, and diabetes. The Apolipoprotein E ε4 allele was also associated with lower PAL scores in FH positive individuals. Here we show, FH is associated with reduced PAL performance four decades before the typical onset of AD; additionally, several heritable and non-heritable modifiers of this effect were identified. - Gray, D. T., & Barnes, C. A. (2019). Experiments in macaque monkeys provide critical insights into age-associated changes in cognitive and sensory function. Proceedings of the National Academy of Sciences of the United States of America, 116, 26247-26254.More infoThe use of animal models in brain aging research has led to numerous fundamental insights into the neurobiological processes that underlie changes in brain function associated with normative aging. Macaque monkeys have become the predominant nonhuman primate model system in brain aging research due to their striking similarities to humans in their behavioral capacities, sensory processing abilities, and brain architecture. Recent public concern about nonhuman primate research has made it imperative to attempt to clearly articulate the potential benefits to human health that this model enables. The present review will highlight how nonhuman primates provide a critical bridge between experiments conducted in rodents and development of therapeutics for humans. Several studies discussed here exemplify how nonhuman primate research has enriched our understanding of cognitive and sensory decline in the aging brain, as well as how this work has been important for translating mechanistic implications derived from experiments conducted in rodents to human brain aging research.
- Kyle, C. T., Kyle, C. T., Kyle, C. T., Kyle, C. T., Stokes, J., Stokes, J., Stokes, J., Stokes, J., Bennett, J., Bennett, J., Bennett, J., Bennett, J., Meltzer, J., Meltzer, J., Meltzer, J., Meltzer, J., Permenter, M. R., Permenter, M. R., Permenter, M. R., , Permenter, M. R., et al. (2019).
Cover Image, Volume 29, Issue 5
. Hippocampus, 29(5). doi:10.1002/hipo.22969More infoThis cover image is based on the Research Article Cytoarchitectonically-driven MRI atlas of nonhuman primate hippocampus: Preservation of subfi eld volumes in aging by Colin T. Kyle et al., DOI: 10.1002/hipo.22969. - Kyle, C. T., Stokes, J., Bennett, J., Meltzer, J., Permenter, M. R., Vogt, J. A., Ekstrom, A., & Barnes, C. A. (2019). Cytoarchitectonically-driven MRI atlas of nonhuman primate hippocampus: preservation of subfield volumes in aging.. Hippocampus, 29(5), 409-421.
- Pyon, W., Gray, D. T., & Barnes, C. A. (2019). An alternative to dye-based approaches to remove background autofluorescence from primate brain tissue.. Frontiers In Neuroanatomy, 13, 73. doi:doi: 10.3389/fnana.2019.00073
- Ryan, L., Hay, M., Huentelman, M. J., Duarte, A., Rundek, T., Levin, B., Soldan, A., Pettigrew, C., Mehl, M. R., & Barnes, C. A. (2019). Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging. Frontiers in aging neuroscience, 11, 128.More infoThe current "one size fits all" approach to our cognitive aging population is not adequate to close the gap between cognitive health span and lifespan. In this review article, we present a novel model for understanding, preventing, and treating age-related cognitive impairment (ARCI) based on concepts borrowed from precision medicine. We will discuss how multiple risk factors can be classified into because of their interrelatedness in real life, the that increase sensitivity to, or ameliorate, risk for ARCI, and the or common mechanisms mediating brain aging. Rather than providing a definitive model of risk for ARCI and cognitive decline, the Precision Aging model is meant as a starting point to guide future research. To that end, after briefly discussing key risk categories, genetic risks, and brain drivers, we conclude with a discussion of steps that must be taken to move the field forward.
- Stern, Y., Barnes, C. A., Grady, C., Jones, R. N., & Raz, N. (2019). Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience. Neurobiology of aging, 83, 124-129.More infoSignificant individual differences in the trajectories of cognitive aging and in age-related changes of brain structure and function have been reported in the past half-century. In some individuals, significant pathological changes in the brain are observed in conjunction with relatively well-preserved cognitive performance. Multiple constructs have been invoked to explain this paradox of resilience, including brain reserve, cognitive reserve, brain maintenance, and compensation. The aim of this session of the Cognitive Aging Summit III was to examine the overlap and distinctions in definitions and measurement of these constructs, to discuss their neural and behavioral correlates and to propose plausible mechanisms of individual cognitive resilience in the face of typical age-related neural declines.
- Talboom, J. S., Håberg, A. K., DeBoth, M. D., Naymik, M. A., Schrauwen, I., Lewis, D. R., Bertinelli, S. F., Hammersland, C., Fritz, M. A., Myers, A., Hay, M., Barnes, C. A., Glisky, E., Ryan, L., & Huentelman, M. J. (2019). Family history of Alzheimer's disease alters cognition and is modified by medical and genetic factors.. eLife, 8, e46179.
- Willeman, M. n., Chawla, M. K., Zempare, M. A., Biwer, L. A., Hoang, l. t., Uprety, A. R., Fitzhugh, M. C., DeBoth, M., Coleman, P. D., Trouard, T. P., Alexander, G. E., Mitchell, K. D., Barnes, C. A., Hale, T. M., & Huentelman, M. (2019). Gradual hypertension induction in middle-aged Cyp1a1-Ren2- transgenic rats produces significant impairments in spatial learning.. Physiological Reports, 7(6), e14010.
- Anandhan, A., Barnes, C. A., Corenblum, M. J., Madhavan, L., Ortiz, F. O., Ray, S., Reed, A., & Zhang, D. D. (2018).
A Role for Nrf2 Expression in Defining the Aging of Hippocampal Neural Stem Cells
. Cell Transplantation, 27(4), 589-606. doi:10.1177/0963689718774030 - Barnes, C. A., Barnes, C. A., Chawla, M. K., Chawla, M. K., McNaughton, B. L., McNaughton, B. L., Olson, K., Olson, K., Sutherland, V. L., & Sutherland, V. L. (2018).
Behavior-drivenarcexpression is reduced in all ventral hippocampal subfields compared to CA1, CA3, and dentate gyrus in rat dorsal hippocampus
. Hippocampus, 28(2), 178-185. doi:10.1002/hipo.22820More infoAnatomical connectivity and lesion studies reveal distinct functional heterogeneity along the dorsal–ventral axis of the hippocampus. The immediate early gene Arc is known to be involved in neural plasticity and memory and can be used as a marker for cell activity that occurs, for example, when hippocampal place cells fire. We report here, that Arc is expressed in a greater proportion of cells in dorsal CA1, CA3, and dentate gyrus (DG), following spatial behavioral experiences compared to ventral hippocampal subregions (dorsal CA1 = 33%; ventral CA1 = 13%; dorsal CA3 = 23%; ventral CA3 = 8%; and dorsal DG = 2.5%; ventral DG = 1.2%). The technique used here to obtain estimates of numbers of behavior-driven cells across the dorsal–ventral axis, however, corresponds quite well with samples from available single unit recording studies. Several explanations for the two- to-threefold reduction in spatial behavior-driven cell activity in the ventral hippocampus can be offered. These include anatomical connectivity differences, differential gain of the self-motion signals that appear to alter the scale of place fields and the proportion of active cells, and possibly variations in the neuronal responses to non-spatial information within the hippocampus along its dorso-ventral axis. - Barnes, C. A., Barnes, C. A., Cowen, S. L., Cowen, S. L., Gray, D. T., Gray, D. T., Schimanski, L. A., Schimanski, L. A., Wiegand, J. L., & Wiegand, J. L. (2018).
Age‐associated changes in waking hippocampal sharp‐wave ripples
. Hippocampus, 30(1), 28-38. doi:10.1002/hipo.23005More infoHippocampal sharp-wave ripples are brief high-frequency (120–250 Hz) oscillatory events that support mnemonic processes during sleep and awake behavior. Although ripples occurring during sleep are believed to facilitate memory consolidation, waking ripples may also be involved in planning and memory retrieval. Recent work from our group determined that normal aging results in a significant reduction in the peak oscillatory frequency and rate-of-occurrence of ripples during sleep that may contribute to age-associated memory decline. It is unknown, however, how aging alters waking ripples. We investigated whether characteristics of waking ripples undergo age-dependent changes. Sharp-wave ripple events were recorded from the CA1 region of the hippocampus in old (n = 5) and young (n = 6) F344 male rats as they performed a place-dependent eyeblink conditioning task. Several novel observations emerged from this analysis. First, although aged rats expressed more waking ripples than young rats during track running and reward consumption, this effect was eliminated, and, in the case of track-running, reversed when time spent in each location was accounted for. Thus, aged rats emit more ripples, but young rats express a higher ripple rate. This likely results from reduced locomotor activity in aged animals. Furthermore, although ripple rates increased as young rats approached rewards, rates did not increase in aged rats, and rates in aged and young animals were not affected by eyeblink conditioning. Finally, although the oscillatory frequency of ripples was lower in aged animals during rest, frequencies in aged rats increased during behavior to levels indistinguishable from young rats. Given the involvement of waking ripples in memory retrieval, a possible consequence of slower movement speeds of aged animals is to provide more opportunity to replay task-relevant information and compensate for age-related declines in ripple rate during task performance. - Burke, S. N., Gaynor, L. S., Barnes, C. A., Bauer, R. M., Bizon, J. L., Roberson, E. D., & Ryan, T. L. (2018). Shared Functions of Perirhinal and Parahippocampal Cortices: Implications for Cognitive Aging. Trends in Neurosciences, 41, 349-359.
- Chawla, M. K., Gray, D. T., Nguyen, C., Dhaliwal, H., Okuno, H., Huentelman, M. J., & Barnes, C. A. (2018). Seizure-induced Arc mRNA expression thresholds in rat hippocampus and perirhinal cortex.. Frontiers in Systems Neuroscience, 12, 53. doi:https://doi.org/10.3389/fnsys.2018.00053
- Chawla, M. K., Sutherland, V. L., Olson, K., McNaughton, B. L., & Barnes, C. A. (2018). Behavior-driven arc expression is reduced in all ventral hippocampal subfields compared to CA1, CA3, and dentate gyrus in rat dorsal hippocampus. Hippocampus, 28(2), 178-185.More infoAnatomical connectivity and lesion studies reveal distinct functional heterogeneity along the dorsal-ventral axis of the hippocampus. The immediate early gene Arc is known to be involved in neural plasticity and memory and can be used as a marker for cell activity that occurs, for example, when hippocampal place cells fire. We report here, that Arc is expressed in a greater proportion of cells in dorsal CA1, CA3, and dentate gyrus (DG), following spatial behavioral experiences compared to ventral hippocampal subregions (dorsal CA1 = 33%; ventral CA1 = 13%; dorsal CA3 = 23%; ventral CA3 = 8%; and dorsal DG = 2.5%; ventral DG = 1.2%). The technique used here to obtain estimates of numbers of behavior-driven cells across the dorsal-ventral axis, however, corresponds quite well with samples from available single unit recording studies. Several explanations for the two- to-threefold reduction in spatial behavior-driven cell activity in the ventral hippocampus can be offered. These include anatomical connectivity differences, differential gain of the self-motion signals that appear to alter the scale of place fields and the proportion of active cells, and possibly variations in the neuronal responses to non-spatial information within the hippocampus along its dorso-ventral axis.
- Comrie, A. E., Gray, D. T., Smith, A. C., & Barnes, C. A. (2018). Different macaque models of cognitive aging exhibit task-dependent behavioral disparities.. Behavioral Brain Research, 344, 110-119. doi:10.1016/j.bbr.2018.02.008
- Cowen, S. L., Gray, D. T., Wiegand, J. L., Schimanski, L. A., & Barnes, C. A. (2018). Age-associated changes in waking hippocampal sharp-wave ripples.. Hippocampus (online). doi:10.1002/hipo.23005
- Gray, D. T., Umapathy, L., Burke, S. N., Trouard, T. P., & Barnes, C. A. (2018). Tract-Specific White Matter Correlates of Age-Related Reward Devaluation Deficits in Macaque Monkeys. Journal of Neuroimaging in Psychiatry & Neurology, 3(2), 13-26.More infoCognitive aging is known to alter reward-guided behaviors that require interactions between the orbitofrontal cortex (OFC) and amygdala. In macaques, OFC, but not amygdala volumes decline with age and correlate with performance on a reward devaluation (RD) task. The present study used diffusion magnetic resonance imaging (dMRI) methods to investigate whether the condition of the white matter associated with amygdala-OFC connectivity changes with age and relates to reward devaluation.
- Kapellusch, A. J., Lester, A. W., Schwartz, B. A., Smith, A. C., & Barnes, C. A. (2018). Analysis of learning deficits in aged rats on the W-track continuous spatial alternation task.. Behavioral Neuroscience, 132, 512–519.
- Kyle, C. T., Permenter, M. R., Vogt, J. A., Rapp, P. R., & Barnes, C. A. (2018). Behavioral impact of long-term chronic implantation of neural recording devices in the rhesus macaque.. Neuromodulation: Technology at the Neural Interface, 22, 435-440.
- Malem-Shinitski, N., Zhang, Y., Gray, D. T., Burke, S. N., Smith, A., Barnes, C. A., & Ba, D. (2018). A separable two-dimensional random field model of binary response data from multi-day behavioral experiences.. Journal of Neuroscience Methods, 307, 175-187.
- Ray, S., Corenblum, M. J., Anandhan, A., Reed, A., Ortiz, F. O., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2018). A role for Nrf2 expression in defining the aging of hippocampal neural stem cells.. Cell Transplantation, 27(4), 589-606.
- Gray, D. T., Smith, A. C., Burke, S. N., Gazzaley, A., & Barnes, C. A. (2017). Attentional updating and monitoring and affective shifting are impacted independently by aging in the macaque monkeys. Behavioral Brain Research, 322, 329-338.
- Gray, D. T., Smith, A. C., Burke, S. N., Gazzaley, A., & Barnes, C. A. (2017). Attentional updating and monitoring and affective shifting are impacted independently by aging in the macaque monkeys.. Behavioral Brain Research, 322, 329-338.
- Han, P., Nielsen, M., Song, M., Yin, J., Permenter, M. R., Vogt, J. A., Engle, j. R., Dugger, B. N., Beach, T. G., Barnes, C. A., & Shi, J. (2017). The impact of aging on brain pituitary adenylate cyclase activating polypeptide pathology and cognition in mice and rhesus macaque.. Frontiers in Aging Neuroscience,, 9(180). doi:doi:10.3389/fnagi.2017.00180
- Han, P., Nielson, M., Song, M., Yin, J., Permenter, M. R., Vogt, J. A., Engle, J. R., Dugger, B. N., Beach, T. G., Barnes, C. A., & Shi, J. (2017). The impact of aging on brain pituitary adenylate cylse activating polypeptide, pathology and cognition in APP transgenic mice and nonhuman primates. Frontiers in Aging Neuroscience, 9, 80. doi:10.3389/fnagi.2017.00180..
- Hay, M., Vanderah, T. W., Samareh-Jahani, F., Constantopoulos, E., Uprety, A. J., & Barnes, C. A. (2017). Cognitive impairment in heart failure: A protective role for Angiotensin-(1-7). Behavioral Neuroscience, 131, 99-114.
- Hay, M., Vanderah, T. W., Samereh-Jahani, F., Constantopoulos, E., Uprety, A. R., Barnes, C. A., & Konhilas, J. (2017). Cognitive impairment in heart failure: A protective role for Angiotensin-(1-7).. Behavioral Neuroscience, 131, 99-114.
- Ianov, L., Barnes, C. A., DeBoth, M., Chawla, M. K., Rani, A., Kennedy, A. J., Piras, I., Day, J. J., Siniard, A., Kumar, A., Sweatt, J. D., Barnes, C. A., Huentelman, M., & Foster, T. C. (2017). Hippocampal transcriptomic profiles: Subregional vulnerability to age and cognitive impairment.. Frontiers in Aging Neuroscience.
- Kyle, C. T., Stokes, J., Bennett, J., Meltzer, J., Permenter, M. R., Vogt, J. A., Ekstrom, A., & Barnes, C. A. (2017). Cytoarchitectonically-driven MRI atlas of nonhuman primate hippocampus: preservation of subfield volumes in aging.. Hippocampus. doi:10.1002/hipo.22809
- Lester, A. W., Moffat, S. D., Barnes, C. A., & Wolbers, T. (2017). The aging navigational system. Neuron, 9, 1019-1035.
- Maurer, A. P., Burke, S. N., Diba, K., & Barnes, C. A. (2017). Attenuated activity across multiple cell types and reduced monosynaptic connectivity in the aged perirhinal cortex.. Journal of Neuroscience, 37(8965-8974).
- Maurer, A. P., Burke, S. N., Diba, K., & Barnes, C. A. (2017). Attenuated activity across multiple cell types and reduced monosynaptic connectivity in the aged perirhinal cortx. The Journal of Neuroscience, 37, 8965-8974.
- Pacheco, S., Wang, C., Chawla, M. K., Nguyen, M., Baggett, B. K., Utzinger, U., Barnes, C. A., & Liang, R. (2017). High resolution, high speed, long working distance, large field of view confocal fluorescence microscope. Scientific Reports, 7, 13349.
- Pacheco, S., Wang, C., Chawla, M. K., Nguyen, M., Baggett, B. K., Utzinger, U., Barnes, C. A., & Liang, R. (2017). High resolution, high speed, long working distance, large field of view confocal fluorescence microscope.. Scientific Reports, 7, 13349.
- Samson, R. D., Lester, A. W., Duarte, L., Venkatesh, A., & Barnes, C. A. (2017). Emergence of beta band oscillations in the aged rat amygdala during discrimination learning and decision making tasks. ENeuro, 4(5) e0245-17.2017.
- Samson, R. D., Lester, A. W., Duarte, L., Venkatesh, A., & Barnes, C. A. (2017). Emergence of beta band oscillations in the aged rat amygdala during discrimination learning and decision making tasks.. ENeuro, 4(5), e0245-17.2017.
- Thome, A., Marrone, D. F., Chawla, N. K., Lipa, P., Ramirez-Amaya, V., Lisanby, S. H., McNaughton, B. L., & Barnes, C. A. (2017). Evidence for an evolutionarily conserved memory coding scheme in the mammalian hippocampus.. Journal of Neuroscience, 37, 2795-2801.
- Thome, A., Marrone, D. F., Ellmore, T. M., Chawla, M. K., Lipa, P., Ramirez-Amaya, V., Lisanby, S. H., McNaughton, B. L., & Barnes, C. A. (2017). Evidence for an evolutionarily conserved memory coding scheme in the mammalian hippocampus.. Journal of Neuroscience, 37, 2795–2801.
- Alme, C., Alme, C., Barnes, C., Barnes, C., Cardiff, J., Cardiff, J., Chawla, M., Chawla, M., Demchuk, A., Demchuk, A., Eckert, M., Eckert, M., Guzowski, J., Guzowski, J., Lapointe, V., Lapointe, V., Maurer, A., Maurer, A., McNaughton, B., , McNaughton, B., et al. (2016).
Nonuniform allocation of hippocampal neurons to place fields across all hippocampal subfields: HIPPOCAMPAL SUBFIELDS
. Hippocampus, 26(10), 1328-1344. doi:10.1002/hipo.22609More infoThe mechanisms governing how the hippocampus selects neurons to exhibit place fields are not well understood. A default assumption in some previous studies was the uniform random draw with replacement (URDWR) model, which, theoretically, maximizes spatial "pattern separation", and predicts a Poisson distribution of the numbers of place fields expressed by a given cell per unit area. The actual distribution of mean firing rates exhibited by a population of hippocampal neurons, however, is approximately exponential or log-normal in a given environment and these rates are somewhat correlated across multiple places, at least under some conditions. The advantage of neural activity-dependent immediate-early gene (IEG) analysis, as a proxy for electrophysiological recording, is the ability to obtain much larger samples of cells, even those whose activity is so sparse that they are overlooked in recording studies. Thus, a more accurate representation of the activation statistics can potentially be achieved. Some previous IEG studies that examined behavior-driven IEG expression in CA1 appear to support URDWR. There was, however, in some of the same studies, an under-recruitment of dentate gyrus granule cells, indicating a highly skewed excitability distribution, which is inconsistent with URDWR. Although it was suggested that this skewness might be related to increased excitability of recently generated granule cells, we show here that CA1, CA3, and subiculum also exhibit cumulative under-recruitment of neurons. Thus, a highly skewed excitability distribution is a general principle common to all major hippocampal subfields. Finally, a more detailed analysis of the frequency distributions of IEG intranuclear transcription foci suggests that a large fraction of hippocampal neurons is virtually silent, even during sleep. Whether the skewing of the excitability distribution is cell-intrinsic or a network phenomenon, and the degree to which this excitability is fixed or possibly time-varying are open questions for future studies. - Barnes, C. A., Corenblum, M. J., Harder, B., Long, M., Madhavan, L., Ray, S., Remley, Q. W., & Zhang, D. D. (2016).
Reduced Nrf2 expression mediates the decline in neural stem cell function during a critical middle‐age period
. Aging Cell, 15(4), 725-736. doi:10.1111/acel.12482More infoAlthough it is known that the regenerative function of neural stem/progenitor cells (NSPCs) declines with age, causal mechanisms underlying this phenomenon are not understood. Here, we systematically analyze subventricular zone (SVZ) NSPCs, in various groups of rats across the aging spectrum, using in vitro and in vivo histological and behavioral techniques. These studies indicate that although NSPC function continuously declines with advancing age, there is a critical time period during middle age (13–15 months) when a striking reduction in NSPC survival and regeneration (proliferation and neuronal differentiation) occurs. The studies also indicate that this specific temporal pattern of NSPC deterioration is functionally relevant at a behavioral level and correlates with the decreasing expression of the redox-sensitive transcription factor, Nrf2, in the NSPCs. When Nrf2 expression was suppressed in ‘young’ NSPCs, using short interfering RNAs, the survival and regeneration of the NSPCs was significantly compromised and mirrored ‘old’ NSPCs. Conversely, Nrf2 overexpression in ‘old’ NSPCs rendered them similar to ‘young’ NSPCs, and they showed increased survival and regeneration. Furthermore, examination of newborn Nrf2 knockout (Nrf2 −/−) mice revealed a lower number of SVZ NSPCs in these animals, when compared to wild-type controls. In addition, the proliferative and neurogenic potential of the NSPCs was also compromised in the Nrf2−/− mice. These results identify a novel regulatory role for Nrf2 in NSPC function during aging and have important implications for developing NSPC-based strategies to support healthy aging and to treat age-related neurodegenerative disorders. - Corenblum, M. J., Ray, S., Remley, Q. W., Long, M., Harder, B., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2016). Reduced NrF2 expression mediates the decline in neural stem cell function during a critical middle-age period. Aging Cell.
- Engle, J. R., Machada, C. J., Permenter, M. R., Vogt, J. A., Maurer, A. P., Bulleri, A. M., & Barnes, C. A. (2016). Network patterns associated with navigation behavior are altered in aged nonhuman primates. Journal of Neuroscience, 36, 12217-12227.
- Penner, M. R., Parrish, R. R., Hoang, L. T., Roth, T. L., Lubin, F. D., & Barnes, C. A. (2016). Age-related changes in Egr1 transcription and DNA methylation within the hippocampus. Hippocampus, 26, 1008-1020.
- Thome, A., Gray, D. T., Erickson, C. A., Lipa, P., & Barnes, C. A. (2016). Memory impairment in aged primates is associated with region-specific network dysfunction. Molecular Psychiatry, 21, 1257-1262.
- Wiegand, J. -., Gray, D. T., Schimanski, L. A., Lipa, P., Barnes, C. A., & Cowen, S. L. (2016). Age is associated with reduced sharp-wave ripple frequency and altered patterns of neuronal variability. The Journal of Neuroscience.
- Witharana, W. K., Cardiff, J., Chawla, M. K., Xie, J. Y., Alme, C., Eckert, M., Lapointe, V., Witharana, A., Maurer, A. P., Trivedi, V., Sutherland, R. J., Guzowski, J. F., Barnes, C. A., & McNaughton, B. L. (2016). Nonuniform allocation of hippocampal neurons to place fields across all hippocampal subfields. Hippocampus, 26, 1382-1344.
- Burke, S. N., & Barnes, C. A. (2015). The neural representation of 3-dimensional objects in rodent memory circuits. Behavioral Brain Research, 138-148, 120.
- Cohen, C. H., Neumann, J. T., Dave, K. R., Alekseyenko, A., Binkert, M., Stransky, K., Lin, L. W., Barnes, C. A., Wright, C. B., & Perez-Pinzon, M. A. (2015). Effect of cardiac arrest on cognitive impairment and hippocampal plasticity in middle-aged rats. PLoS. doi:10:e0124918
- Gray, D. T., & Barnes, C. A. (2015). Distinguishing adaptive plasticity from vulnerability in the aging hippocampus. Neuroscience, 309, 17-28.
- Insel, N. N., & Barnes, C. A. (2015). Differential activation of fast-spiking and regular-firing neuron populations during movement and reward in the dorsal medial frontal cortex. Cerebral Cortex, 25, 2631-2647.
- Samson, R. D., Venkatesh, A., Lester, A. W., Weinstein, A. T., Lipa, P., & Barnes, C. A. (2015). Age differences in strategy selection and risk preference during risk-based decision making. Behavioral Neuroscience, 129, 138-148.
- Barnes, C. A. (2014). Biography - Carol A. Barnes, Ph.D. (Biography for APA Award for Distinguished Scientific Contributions. American Psychologist, 69, 730-732.
- Burke, S. N., Maurer, A. P., Nematollahi, S., Uprety, A., Wallace, J. L., & Barnes, C. A. (2014). Advanced age dissociates dual functions of the perirhinal cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(2), 467-80.
- Burke, S. N., Thome, A., Plange, K., Engle, J. R., Trouard, T. P., Gothard, K. M., & Barnes, C. A. (2014). Orbitofrontal cortex volume in area 11/13 predicts reward devaluation, but not reversal learning performance, in young and aged monkeys. Journal of Neuroscience, 34(30), 9905-9916.
- Maurer, A. P., Lester, A. W., Burke, S. N., Ferng, J. J., & Barnes, C. A. (2014). Back to the future: preserved hippocampal network activity during reverse ambulation. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(45), 15022-31. doi:10.1523/JNEUROSCI.1129-14.2014
- Samson, R. D., Venkatesh, A., Patel, D. H., Lipa, P., & Barnes, C. A. (2014). Enhanced performance of aged rats in contingency degradation and instrumental extinction tasks. Behavioral neuroscience, 128(2), 122-33. doi:10.1037/a0035986
- Zelikowsky, M., Hersman, S., Chawla, M. K., Barnes, C. A., & Fanselow, M. S. (2014). Neuronal ensembles in amygdala, hippocampus, and prefrontal cortex track differential components of contextual fear. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(25), 8462-6. doi:10.1523/JNEUROSCI.3624-13.2014
- Chawla, M. K., Penner, M. R., Olson, K. M., Sutherland, V. L., Mittleman-Smith, M. A., & Barnes, C. A. (2013). Spatial behavior and seizure-included changes in c-fos mRNA expression in young and old rats. Neurobiology of Aging, 34, 1184-1198.
- Hartzell, A. L., Burke, S. N., Hoang, L. T., Lister, J. P., Rodriquez, C. N., & Barnes, C. A. (2013). Transcription of the immediate-early gene Arc in CA1 of the hippocampus reveals activity differences along the proximodistal axis that are attenuated by advanced age. Journal of Neuroscience, 33, 3424-3433.
- Lu, L., Leutgeb, J. K., Tsao, A., Henriksen, E. J., Leutgeb, S., Barnes, C. A., Witter, M. P., Moser, M. -., & Moser, E. I. (2013). Impaired hippocampal rate coding after lesions of the lateral entorhinal cortex. Impaired hippocampal rate coding after lesions of the lateral entorhinal cortex, 16, 1085-1093.
- Ramirez-Amaya, V., Angelo-Perkins, A., Chawla, M. K., Barnes, C. A., & Rosi, S. (2013). Sustained transcription of the immediate early gene Arc in the dentate gyrus after spatial exploration. Journal of Neuroscience, 33, 1631-1639.
- Samson, R. D., & Barnes, C. A. (2013). Impact of Aging Brain Circuits on Cognition. European Journal of Neuroscience, 37, 1903-1915.
- Schimanski, L. A., Lipa, P., & Barnes, C. A. (2013). Tracking the course of hippocampal representations during learning: When is the map required?. Journal of Neuroscience, 33, 3094-3106.
- Takehara-Nishiuchi, K., Insel, N., Hoang, L. T., Wagner, Z., Olson, K., Chawla, M. K., Burke, S. N., & Barnes, C. A. (2013). Activation patterns in superficial layers of neocortex change between experiences independent of behavior, environment, or the hippocampus. Cerebral Cortex, 23, 2225-2234.
- Barnes, C. A. (2011).
Faculty Opinions recommendation of Abolition of long-term stability of new hippocampal place cell maps by NMDA receptor blockade.
. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature. doi:10.3410/F.13284977.14644077 - Barnes, C. A. (2011).
Faculty Opinions recommendation of The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat.
. Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature. doi:10.3410/F.13284975.14644075 - Rosi, S., Milliken, H. L., Ramirez-amaya, V., Varzdarjanova, A., Barnes, C. A., & Worley, P. F. (2007).
AbstractPosterP-107: Neuroinflammation and neuronal networks activation involved in learning and memory
. Alzheimers & Dementia, 3(3). doi:10.1016/j.jalz.2007.04.171
Proceedings Publications
- Burkhart, J. C., Takamatsu, C., Gray, D. T., & Barnes, C. A. (2015).
Understanding the Biological Basis of Cognitive Aging: The Role of Inhibitory Interneurons
. In repository.arizona.edu. - Mcnaughton, B. L., Terrazas, A., Barnes, C. A., & Battaglia, F. P. (2004).
An hypothesis on the origin of variable spatial scaling along the septo-temporal axis of the rodent hippocampus
. In 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 1, 643-645.More infoThe spatial scaling of place specific activity in the rodent hippocampus varies systematically from the septal pole (high spatial resolution) to the temporal pole (low spatial resolution). In principle, this variable scaling permits the read-out of spatial proximity relationships from spatial population vector correlations over much larger spaces than would be possible from a fixed scale encoding scheme such as might be inferred from the majority of in vivo hippocampal recordings, which have been conducted only in the septal portion of the hippocampus. Decoupling movement in space from ambulatory motion, by having the animal activate and ride on a mobile platform, results in marked attenuation of the amplitude of the local theta rhythm and a corresponding enlargement of the spatial scale factor in the dorsal hippocampus. These results lead to the hypothesis that the self-motion signal is embodied in the theta rhythm, whose gain may vary systematically along the septo-temporal axis of the hippocampus.
Presentations
- Barnes, C. A. (2020, February). Memory and the Aging Brain (Invited Keynote Address). 11th Annual Emerging Scientist Symposium, University of California. Irvine, CA.
- Barnes, C. A. (2020, January). Aging, Memory, and the Brain.. Tulane Brain Institute Distinguished Lecture. New Orleans, LA: Tulane University.
- Barnes, C. A. (2019, April). Impact of age on neural circuits critical to memory. The Cold Spring Harbor-Asia Francis Crick Symposium Transforming Neurosciences: Questions & Experiments. Suzhou Dushu Lake Conference Center, Suzhou, China.
- Barnes, C. A. (2019, April). Memory and the Aging Brain. New Member Research Briefings, Class II - National Academy of Sciences.
- Barnes, C. A. (2019, April). Neurobiological correlates of aging memory.. International Conference on Learning and Memory. Huntington Beach, CA.
- Barnes, C. A. (2019, February). Session Lead: Immediate Early Genes, Arc and Beyond in Health and Disease. Winter Conference on Neural Plasticity 2019. Moorea, French Polynesia.
- Barnes, C. A. (2019, January). Age-related cognitive decline in rodents and monkeys.. Arthur M. Sackler Colloquia of the National Academy of Sciences – Using Monkey Models to Understand and Treat Human Brain Disorders. Arnold and Mabel Beckman Center, Irvine, CA: National Academy of Sciences.
- Barnes, C. A. (2019, January). Aging cognition across species.. 2019 Dallas Aging and Cognition Conference. Center for Longevity: Dallas, TX.
- Barnes, C. A. (2019, June). Behavioral consequences in brain aging (Keynote Address). International Behavioral Neuroscience 27th Annual Meeting. Cairns, Australia.
- Barnes, C. A. (2019, March). Impact of age on neural circuits critical to memory.. HKIAS Symposium on Advances in Neuroscience. Hong Kong, China: City University of Hong Kong.
- Barnes, C. A. (2019, May). Memory and the Aging Brain. Annual Scientific Meeting of the European Society for Clinical Investigation (ESCI 2019). Coimbra Portugal: European Society for Clinical Investigation.
- Barnes, C. A. (2019, September). Life trajectories for successful aging: evidence from animal models of aging.. Life Trajectories and Interventions that Support Successful Neurocognitive Aging Meeting. Montreal Neurological Institute, McGill University, Montreal, Canada.
- Barnes, C. A. (2018, February). Normal brain aging: Impact on circuits critical for memory.. Georgia Tech Neuro Seminar Series. Atlanta, GA: Georgia Tech University.
- Barnes, C. A. (2018, June). Interrogating the navigation circuit: Many paths to the final destination.. Medial Temporal Lobe Computations Session - 2nd Interdisciplinary Navigation Symposium. Quarter Tremblant, Canada: Interdisciplinary Navigation Symposium.
- Barnes, C. A. (2018, June). Memory and the Aging Brain.. Museum of Contemporary Art. Tucson, AZ: Museum of Contemporary Art.
- Barnes, C. A. (2018, March). Neural mechanisms of age-dependent memory loss: Depends on where you look.. Hebb Lecture - Dalhousie University. Halifax, Nova Scotia: Dalhousie University.
- Barnes, C. A. (2018, May). Age-related changes in memory across species: Brain circuit specificity.. UC Davis Perspectives in Neuroscience Seminar Series - Center for Neuroscience. University of California @ Davis, Davis, CA: University of California @ Davis.
- Barnes, C. A. (2018, November). Spatial cognition in animal models of aging.. DZNE Interdisciplinary Symposium on Spatial Cognition in Aging & Neurodegeneration (ISCAN). Magdeburg, Germany: DZNE.
- Barnes, C. A. (2018, September). Normal lifespan changes in brain circuits critical for memory. Aging of Memory Functions: Where are we Now?. International Bordeaux Neurocampus Conferences. Bordeaux, France: University of Bordeaux.
- Barnes, C. A. (2017, April). Animal models of brain adaptation and compensation in aging. Cognitive Aging Summit III. Bethesda, MD: National Institute on Aging.
- Barnes, C. A. (2017, April). Behavioral Models of Age-related Cognitive Decline Session: Cross-species decline in cognition with aging: why don’t mammals other than humans spontaneously get Alzheimer’s disease. ASPET Annual Meeting at Experimental Biology 2017. Chicago, IL.
- Barnes, C. A. (2017, August). Neal Miller Distinguished Lecture: Temporal and frontal lobe correlates of memory decline in aging. American Psychological Association (APA) Convention. Washington, DC: American Psychological Association.
- Barnes, C. A. (2017, February). Aging is not a disease: Normal lifespan changes in brain circuits critical for memory. Distinguished Sackler Visiting Lecture, Collaborative Program in Neuroscience. Toronto, Ontario, Canada: University of Toronto.
- Barnes, C. A. (2017, February). An aging delimma: should I boost sustained or flexible attention. Winter Conference on Neural Plasticity. Grenada, Caribbean.
- Barnes, C. A. (2017, January). Impact of aging on neural circuits critical for memory. Graduate Program in Neuroscience Seminar Series. Seattle, WA: University of Washington.
- Barnes, C. A. (2017, June). Session Chair: Fixing memory: Interventions that target the hippocampus. Spring Hippocampal Research Conference. Taormina, Italy.
- Barnes, C. A. (2017, March). Brain circuit changes that contribute to age-related declines in cognition. Hagey Lecture. Waterloo, Canada: University of Waterloo.
- Barnes, C. A. (2017, March). Precision aging, how to keep your brain healthy as you age. UA Foundation Board of Trustees & National Leadership Council. UA Foundation, Tucson, AZ: University of Arizona.
- Barnes, C. A. (2017, March). The ‘youngfield’ of neuroscience: one senior scientists’ retrospective. Student Colloquium. Waterloo, Canada: University of Waterloo.
- Barnes, C. A. (2017, November). Beyond Place Cells (Minimsymposium): Temporal lobe activity in nonhuman primates: Locomotion versus restraint. Society for Neuroscience Annual Meeting. Washington, DC: Society for Neuroscience.
- Barnes, C. A. (2017, October). Aging neural circuits: Impact on cognition. Department of Psychology Quad-L Lecture. Albuquerque, NM: University of New Mexico.
- Barnes, C. A. (2017, October). Animal models of cognition and cognitive assessment. U13 Bedside-to-Bench Conference Series. Sensory Impairment and Cognitive Decline. Bethesda, MD: American Geriatric Socity.
- Barnes, C. A. (2017, September). Impact of age on neural circuits critical to memory. Bryan Kolb Lecture in Behavioral Neuroscience. University of Calgary, Calgary: Calgary, Alberta, Canada.
- Do, L., Bernstein, A., Bharadwaj, P. K., Alexander, G. E., Barnes, C. A., & Trouard, T. P. (2017, November). Advanced Techniques for Characterizing Rodent Brains with Diffusion MRI. Neuroscience 2017. Washington, DC: Society for Neuroscience.
- Barnes, C. A. (2016, April). Impact of aging on temporal lobe circuits critical for memory. Special Seminar, Kyoto University. Kyoto Japan.
- Barnes, C. A. (2016, April). Impact of normal aging on brain circuits critical for memory function. Special Seminar, Okinawa Institute. Okinawa, Japan.
- Barnes, C. A. (2016, August). Memory circuits in normal aging: excitability and adaptation. GRC on Mechanisms of Epilepsy and Neuronal Synchronization. Melia Golf Vichy Catalan Business and Convention Center, Girona, Spain.
- Barnes, C. A. (2016, February). Hippocampal cell activity in unrestrained nonhuman primates, session: Place cells across animal species. Winter Conference on Neural Plasticity. Maui, HI.
- Barnes, C. A. (2016, February). Impact of normal aging on circuits critical for memory. Neuroscience and Animal Behavior Graduate Program Lecture Series. Emory University, Atlanta, GA,.
- Barnes, C. A. (2016, January). Does the neural hardware in archicortex of birds, turtles, rats and monkeys perform similar computations?. Neuroscience Community Data Blitz. Museum of Contemporary Art, Tucson, AZ.
- Barnes, C. A. (2016, January). How does normal aging affect brain function and memory. Institute of Learning at Sun City Sampler Series. Catalina Visa Center in Sun City, Oro Valley, AZ.
- Barnes, C. A. (2016, July). Impact of aging on brain circuits critical for memory (Keynote address). 6th International Conference on Memory. Budapest, Hungary.
- Barnes, C. A. (2016, July). Impact of aging on circuits critical for normal memory function. John G. Nicholls Lecture, Neural Systems and Behavioral Course. Marine Biological Laboratory, Woods Hole, MA,.
- Barnes, C. A. (2016, June). Recent progress in recording from completely unrestrained primates. 1st Interdisciplinary Navigation Symposium. Bad Gastein, Austria.
- Barnes, C. A. (2016, March). Aging is not a disease: normal lifespan changes in brain circuits critical for memory. William G. Lutte Lectureship in Neuroscience. University of Florida, Gainesville, FL,.
- Barnes, C. A. (2016, March). Cognition/Perception: Primate work on normative brain and cognitive aging. International Future Primate Neuroscience Symposium, Shenzhen Institute of Advanced Technology. Shenzhen, China.
- Barnes, C. A. (2016, May). Impact of aging on brain circuits critical for memory. Stanford Neuroscience Institute Seminar Series. Stanford University, Los Angeles, CA.
- Barnes, C. A. (2016, May). Normative brain aging: Why does it result in memory impairments?. Neuroscience Research Colloquia. University of British Columbia, Vancouver, Canada.
- Lukas, R., Fulton, G. W., Wesslehoft, M., & Barnes, C. A. (2016, September). (Panel Discussion), Beyond Alzheimer’s. Cavendish Health Impact Forum sponsored by Arizona Bioscience Community. Phoenix, AZ.
- Barnes, C. A. (2015, April). Impact of aging on neural circuits critical for memory. UT Austin Conference on Learning and Memory. Austin, TX: University of Austin.
- Barnes, C. A. (2015, April). Normal aging; what is the impact on the brain and memory?. UA Science Lecture Series. Ventana Canyon Golf and Racquet Club, Tucson, AZ: University of Arizona.
- Barnes, C. A. (2015, February). Normal aging: what is the impact on the brain and on memory?. Special Education Lecture. Yuma, AZ: Yuma Friends of the University of Arizona Health Sciences.
- Barnes, C. A. (2015, January). Learning and Memory in Aging. Yale Club Luncheon. Arizona Inn, Tucson, AZ: The Yale Club of Southern Arizona.
- Barnes, C. A. (2015, June). Extent of remapping due to context change differs along the CA1 proximo-distal axis. Functional specialization along the transverse axis of the hippocampus session. Spring Hippocampal Research Conference. Taormino, Sicily.
- Barnes, C. A. (2015, June). Session Leader: Temporal lobe contributions to representations in memory Session. Spring Hippocampal Research Conference. Taormino, Sicily.
- Barnes, C. A. (2015, March). Normal brain aging: Impact of circuits and memory. Cheves Smythe Distinguished Lecture Speake. Houston, TX: UT Health Medical School.
- Barnes, C. A. (2015, May). Impact of aging on brain circuits and behavior. Advances in Neural Systems Conference, Center for Learning, Memory and Emotion. New York, NY: New York University.
- Barnes, C. A. (2015, November). Impact of aging on brain circuits critical for normal memory function. Barrow Neurological Institute Neuroscience Conference. Phoenix, AZ: Barrow Neurological Institute.
- Barnes, C. A. (2015, October). Memory and the aging brain. Cognitive Sciences Working Group Meeting. Deerfield, IL: Takeda Pharmaceuticals.
- Barnes, C. A. (2015, October). Memory and the aging brain. WiseGuise II Lunch Group. Scottsdale, AZ.
- Barnes, C. A. (2015, September). Normal brain aging: Impact on circuits critical for memory. Neuroscience Graduate Program Distinguished Speaker Series. Los Angeles, CA: University of Southern California.
- Barnes, C. A. (2014, April). Impact on circuits for memory across species. 2014 Picower Institute Lecture. Cambridge, MA: Picower Institute for Learning and Memory, MIT.
- Barnes, C. A. (2014, August). Memory and the Aging Brain. Arizona Now Campaign. , La Jolla Country Club, La Jolla, CA.
- Barnes, C. A. (2014, August). Memory and the Aging Brain. Arizona Now Campaign. 21 Oceanfront Restaurant, Newport Beach, CA,.
- Barnes, C. A. (2014, August). Temporal lobe correlates of memory decline in normal aging. 2014 APA Annual Convention. Washington, DC.
- Barnes, C. A. (2014, February). Are the functionally important changes in aging specific to white matter alterations?. White Matter Meeting: Everything You Need and Want to Know about White Matter. Trondheim, Norway: Norwegian Institute of Science and Technology.
- Barnes, C. A. (2014, February). Hippocampal state: contributes from motor and sensor inputs. Session entitled Neural signals for memory in the primate medical temporal lobe. Winter Conference on Neural Plasticity. Vieques Island, Caribbean.
- Barnes, C. A. (2014, January). Memory and the aging brain. Keynote Speaker, Cognitive Aging Symposium. Nijmegan, The Netherlands: Donders Institute.
- Barnes, C. A. (2014, January). The aging brain: Keeping neurons healthy and active. Canyon Ranch Social Center. Green Valley, AZ.
- Barnes, C. A. (2014, January). The aging brain: Keeping neurons healthy and active. Pima Council on Aging Speaker Series. Canoa Hills Social Center, Green Valley, AZ.
- Barnes, C. A. (2014, July). Cognitive Circuitry Session Discussion Leader. Gordon Research Conference on Neurobiology of Cognition. Newry, ME.
- Barnes, C. A. (2014, July). Information processing and behavioral changes during aging. Gordon Research Conference on Neurobiology of Brain Disorders. Girona, Spain.
- Barnes, C. A. (2014, May). Ideas from animal models for effective human therapeutic targets. Scripps Spring Workshop on the Biology of Aging “Therapeutic Approaches for Extensing Healthspan: The Next 10 Years”. Jupiter, FL.
- Barnes, C. A. (2014, September). Aging and the Normal Brain. Congressional Biomedical Research Caucus.. Washington, DC: Sponsored by Coalition of Life Sciences.
- Barnes, C. A. (2013, August). Keynote Address: Related Changes in Brain Plasticity: Principles Derived from Medial Temporal Lobe Memory and Perceptual Systems – Are They Relevant for Understanding the Auditory System. NIA Workshop on Auditory Plasticity and Aging. Bethesda, MD.
- Barnes, C. A. (2013, December). Keynote Address: Effects of aging on brain circuits and behavior. Annual UA-ASU Cognitive Science Conclave. Tucsoon, AZ.
- Barnes, C. A. (2013, January). Closing the healthspan/lifespan gap: Scientific contributions from UA faculty. Annual Conference on Successful Aging. , University of Arizona, Tucson, AZ.
- Barnes, C. A. (2013, January). Memory and the aging brain. Canyon Ranch Brain Camp: An Integrative Approach to Brain & Body Wellness. Canyon Ranch, Tucson, AZ.
- Barnes, C. A. (2013, May). Keynote Address: Neural circuits that contribute to age-related cognitive decline. 2013 meeting of The Milwaukee Chapter of the Society for Neuroscience. Mikwaukee, WS.
- Barnes, C. A. (2013, November). Cognitive again across species. Brain, Cognition, and Genetics in Healthy Aging Symposium, 2013 Annual Meeting of the Society for Neuroscience. San Diego.
- Barnes, C. A. (2013, November). Effects of aging on behavior and temporal lobe circuits. Neuroscience Seminar Series, Pfizer Inc.,. Cambridge, MA.
- Barnes, C. A. (2013, November). Keynote Address: The evolving face of neuroscience: Role of women and globalization. Celebration of Women in Neuroscience Symposium, 2013 Annual Meeting of the Society for Neuroscience,. San Diego, CA.
- Barnes, C. A. (2013, September). Normal brain aging: Impact on circuits critical for memory. Institute of Science and Technology Colloquium Series. Klosterneuburg, Austria.
- Barnes, C. A. (2013, September). Some unexpected findings, and new approach. Systems Neuroscience lab meeting. Klosterneuburg, Austria.
- Barnes, C. A. (2014, January). From aging rats to aging monkeys: New finding, new approaches, Centre for Biology of Memory. Kavli Institute Seminar Series. Norwegian University of Science and Technology, Trondheim, Norway.
- Barnes, C. A. (2015, February). Hippocampal state: Contributions from motor and sensory inputs. Twenty-fifth Winter Conference on Neural Plasticity. Curacao, Netherland Antilles.
Poster Presentations
- Bilgin, A., Do, L., Martin, P., Lockhart, E., Bernstein, A. S., Ugonna, C., Diekhaus, L., Comrie, C., Hutchinson, E., Chen, N., Alexander, G., Barnes, C. A., & Trouard, . (2021, May). Accelerating Diffusion Tensor Imaging of the Rat Brain using Deep Learning.. International Society for Magnetic Resonance in Medicine Annual Meeting. Vancouver, BC, Canada.
- Crown, L. M., Gray, D. T., Schimanski, L. A., Barnes, C. A., & Cowen, S. L. (2021, January). Decreased dynamic range of hippocampal CA1 gamma in aged rats.. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Crown, L., Gray, D. T., Schimanski, L. A., Barnes, C. A., & Cowen, S. L. (2019, October). Spatial eye-blink learning but not age predicts theta-gamma coupling in the CA1 region of the hippocampus. Program No. 600.09. Neuroscience 2019. Chicago, IL: Society for Neuroscience.
- Do, L., Zempare, M. A., Bernstein, A. S., Bharadwaj, P., Ugonna, C., Chen, N., Alexander, G. E., Barnes, C. A., & Trouard, T. (2021, January). Quantitative and Volumetric and Diffusion Weighted MRI Analysis of Rodent Brains as a Function of Age and Cognition. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Gray, D. T., De la Peña, N. M., Umapathy, L., Burke, S. N., Engle, J. R., Trouard, T. P., & Barnes, C. A. (2021, January). Auditory and visual system function and white matter condition is differentially impacted by normative aging in macaques.. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Khattab, S. O., Gray, D. T., McDermott, K., Sinakevitch, I., Schwyhart, R., Smith, A. C., Härtig, W., & Barnes, C. A. (2021, January). The relationship between microglia density and age-associated perineuronal net alterations in the retrosplenial cortex of rhesus macaques. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- McDermott, K., Sinakevitch, I., Gray, D. T., Khattab, S., Pyon, W. S., & Barnes, C. A. (2021, January). Age-associated alterations in locus coeruleus neuronal, glial cell, and vascular elements in cognitively assessed aged macaque monkeys.. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Sinakevitch, I., Deer, C., McDermott, K., Khattab, S., Gray, D. T., & Barnes, C. A. (2021, January). A 3D interactive representation of Locus Coeruleus nucleus morphology in aged macaque monkeys.. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Young, K. F., Zempare, M. A., Dalmendray, A. L., Gregolynskyi, A., Chawla, M. K., Guzowski, J. F., & Barnes, C. A. (2021, January). Effects of chronic, high-dose minocycline treatment on cognitive performance in aging rats.. SfN Global Connectome: A Virtual Event. Online: Society for Neuroscience.
- Do, L., Bernstein, A. S., Bharadwaj, P., Ugonna, C., Zempare, M. A., Chen, N., Alexander, G. E., Barnes, C. A., & Trouard, T. (2020, April). Quantitative MRI volumetric analysis of rodent brains as a function of age. ISMRM 28th Annual Meeting & Exhibition. Sydney, Australia.
- Barnes, C. A., & Pyon, W. (2019, October). Quantification of neuronal and astrocytic cells in the locus coeruleus of cognitively assessed, young and aged nonhuman primates, Program No. 600.10. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Chawla, M. K., Zempare, M., Hruby, V., Barnes, C. A., & Cai, M. (2019, October). Age-related, specific changes in expression of several central melanocortin receptor subtypes in the rat. Program No. 600.15. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Eck, R., Chawla, M. K., Bagevalu Siddegowda, B., Carey, N. J., Zempare, M., Nguyen, C., Billheimer, D., Barnes, C. A., & Zarnescu, D. C. (2019, October). RNA stress granule components are dynamically expressed during aging and stress conditions in rats and fruit flies, Program No. 600.17. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Gray, D. T., Pyon, W., De la Pena, N. M., Schwyhart, R., Wallace, E., Puchta, J., Hartig, W., & Barnes, C. A. (2019, October). Perineuronal nets in the cerebral cortex of cognitively-assessed aged macaque monkeys. Program No. 600.11. 2019. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Gray, D. T., Umapathy, L., De la Pena, N. M., Burke, S. N., Engle, J. R., Trouard, T. P., & Barnes, C. A. (2019, September). Auditory processing deficits are selectively associated with medial temporal lobe mnemonic function and white matter integrity in aging macaques. Arizona Postdoctoral Research Conference. University of Arizona, Phoenix Campus, Phoenix, AZ.
- Han, E., Schimanski, L. A., Ali, K., Barnes, C. A., & Tatsuno, M. (2019, August). Detection of hippocampal cell assemblies while rats learn a place-dependent eyeblink conditioning task.. Undergraduate Neuroscience Symposium. University of Alberta.
- Kyle, C., Stokes, J., Meltzer, J., Permenter, M. R., Vogt, J. A., Ekstrom, A. D., & Barnes, C. A. (2019, October). Estimation of non-rigid warps during 3D serial-section histology reconstruction optimization increases accuracy. Program No. 600.12. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Lester, A. W., Kapellusch, A. J., & Barnes, C. A. (2019, October). A computational model of aged head direction network updating in the presence of sudden spatial cue mismatch, Program No. 600.16. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Pyon, W., Gray, D. T., Schwyhart, R., Wallace, E., Pena, N. M., & Barnes, C. A. (2019, October). Quantification of neuronal and astrocytic cells in the locus coeruleus of cognitively assessed, young and aged nonhuman primates. Program No. 600.10. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Srivathsa, S. V., Khattab, S. O., Lester, A. W., & Barnes, C. A. (2019, October). Role of prefrontal-hippocampal interactions in age-related deficits in spatial working memory. Program No. 600.08. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Talboom, J. S., Haberg, A. K., De Both, M. D., Naymik, M. A., Schrauwen, I., Lewis, C. R., Siniard, A. L., Bertinelli, S. F., Hammersland, C., Myers, A. J., Hay, M., Barnes, C. A., Glisky, E., Ryan, L., & Huentelman, M. J. (2019, October). Physiological and Cognitive Factors Associated with Health Aging. Program No. 793.03. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Terrazas, A., Pyon, W., Zempare, M., Young, K. F., Dalmendray, A., Do, L., David, B., Bohne, K. M., Carey, N. J., Chawla, M. K., Trouard, T. P., Worley, P. F., & Barnes, C. A. (2019, October). Effects of NPTX2 knockout on behavior, brain volume by MRI and CA1 hippocampal single unit properties. Program No. 600.14. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Zempare, M., Carey, N. J., Dalmendray, A., Young, K. F., Bohne, K. M., Do, L., Trouard, T. P., Mitchell, K. D., Chawla, M. K., Huentelman, M. J., & Barnes, C. A. (2019, October). Effects of induced hypertension in middle aged CYP1A1-REN2 transgenic rats, Program No. 600.13. Neuroscience 2019 - Online. Chicago, IL: Society for Neuroscience.
- Barnes, C. A., Pyon, W., Gray, D. T., & Ashford, S. (2018, November). A direct comparison of dye- and imaging-based removal of lipofuscin-induced autofluorescence from primate brain tissue. Program No. 245.04. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Bleul, C., Chawla, M. K., DeBoth, M. D., Barnes, C. A., & Huentelman, M. J. (2018, November). Specificity of activity-regulated transcript localization in somatic and dendritic neuronal compartments. Program No. 245.09. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Carey, N. J., Zempare, M. A., Nguyen, C. J., Bohne, K. M., Chawla, M. K., Sinari, S., Huentelman, M. J., Billheimer, D., & Barnes, C. A. (2018, November). Age-dependent correlation between spatial and working memory does not extend to object recognition. Program No. 245.05. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Comrie, A. E., Lister, J. P., Chawla, M. K., & Barnes, C. A. (2018, April). Sparser representation of experience with age in rat entorhinal cortex. 2018 International Conference on Learning and Memory, Irvine. Irvine, CA: University of California, Irvine.
- Comrie, A., Lister, J. P., Chawla, M. K., & Barnes, C. A. (2018, November). Lateral but not medial entohinal cortex population representation become more sparse with age. Program No. 245.08. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- De La Pena, N. M., Gray, D. T., Umapathy, L., Burke, S. N., Trouard, T. P., & Barnes, C. A. (2018, November). Tract-Specific White Matter Correlates of Age-Related Reward Devaluation Deficits in Macaque Monkeys. Neuroscience 2018. San Diego, CA: Society for Neuroscience.More infoCognitive aging is known to alter reward-guided behaviors that require interactions between the orbitofrontal cortex (OFC) and amygdala. In macaques, OFC, but not amygdala volumes decline with age and correlate with performance on a reward devaluation (RD) task. The present study used diffusion magnetic resonance imaging (dMRI) methods to investigate whether the condition of the white matter associated with amygdala-OFC connectivity changes with age and relates to reward devaluation.
- De La Pena, N., Gray, D. T., Barnes, C. A., & Pyon, W. (2018, January). Tyrosine Hydroxylase and Calcium Binding Protein Expression in the Noradrenergic System of Aged Primates. Twenty-eighth Undergraduate Biology Research Program Conference. Tucson, AZ: University of Arizona.
- Eck, R. J., Chawla, M. K., Siddegowda, B., Carey, N. J., Zempare, M. A., Nguyen, C. J., Barnes, C. A., & Zarnescu, D. C. (2018, November). Dynamic expression of RNA stress granule components in behaviorally characterized young, middle aged and old rats. Program No. 245.07. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Gray, D. T., Burke, S. N., Engle, J. R., Umapathy, L., Trouard, T. P., & Barnes, C. A. (2018, November). Thalamocortical white-matter integrity and the relationship between auditory function and cognitive decline in aged macaque monkeys. Program No. 245.03. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Lester, A. W., Blum, C. J., Kappellusch, A. J., & Barnes, C. A. (2018, November). Aged-related impairments in spatial reference frame updating. Program No. 245.06. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Terrazas, A., Zempare, M., Carey, N. J., Bohne, K. M., Do, L., Trouard, T. P., Worley, P. F., & Barnes, C. A. (2018, November). NPTX2 knockout rats: A novel model for protection of synaptic function in aging and disease. Program No. 245.10. Neuroscience 2018. San Diego, CA: Society for Neuroscience.
- Annadurai, A., Corenblum, M. J., Ray, S., Kirwan, K., Reed, A., Barnes, C. A., & Madhavan, L. (2017, November). Enhanced Nrf2 expression improves neural stem cell function during a critical aging period. Program No. 459.08. Washington, DC: Society for Neuroscience.
- Bagevalu Sidddegowda, B., Chawla, M. K., Yao, S., Barnes, C. A., & Zarnescu, D. C. (2017, November). Dynamic expression of RNA stress granule components in aging brains: From flies to rats. Program No. 712.17. Washington, DC: Society for Neuroscience.
- Bagevalu Siddegowda, B., Chawla, M. K., Yao, S., Barnes, C. A., & Zarnescu, D. C. (2017, November). Dynamic expression of RNA stress granule components in aging brains: From flies to rats. Program No. 712.17. Washington, DC: Society for Neuroscience.
- Carey, N. J., Zempare, M. A., Nguyen, C. J., Bohne, K. M., Chawla, M. K., Sinari, S., Huentelman, M. J., Billheimer, D., & Barnes, C. A. (2017, November). Dissociation of performance in hippocampus- and prefrontal cortical-dependent tasks in aging fisher 344 rats. Program No. 712.18. Washington, DC.
- Chawla, M. K., Zhou, Y., Wang, L., Carey, N. J., Zempare, M. A., Nguyen, C. J., Hruby, V. J., & Barnes, C. A. (2017, November). Brain region-specific changes in melanocortin receptor expression in aged rat brain. Program No. 712.16. Washington, DC: Society for Neuroscience.
- Comrie, A., Lister, J. P., Chawla, M. K., & Barnes, C. A. (2017, November). Sparser representation of experience by aged rat Lateral Entorhinal Cortex. Program No. 712.14. 2017. Washington, DC: Society for Neuroscience.
- Cowen, S. L., Gray, D. T., Weigand, J., Schimanski, L. A., & Barnes, C. A. (2017, November). Age-associated changes in awake hippocampal sharp-wave ripples during spatial eyeblink conditioning. Program No. 712.21. Washington, DC: Society for Neuroscience.
- Do, L., Bharadwaj, P., Bernstein, A., Xiao, J., Alexander, G. E., Barnes, C. A., & Trouard, T. P. (2017, May). Bias Correction Method Improves Automatic Brain Extraction in Rodent MR Imaging. Arizona Alzheimer's Consortium Scientific MeetingArizona Alzheimer's Consortium.
- Gray, D. T., Smith, A. C., Burke, S. N., & Barnes, C. A. (2017, November). The alpha-2 noradrenergic receptor agonist guanfacine impairs flexible attention in young and aged macaques. Program No. 712.12. 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience.
- Kapellusch, A. J., Lester, A. W., Schwartz, B. A., Brewster, J. R., & Barnes, C. A. (2017, November). Deficits in aged rats on the W-track continuous spatial alternation task suggest impaired hippocampal-prefrontal interactions. Program No. 712.19. Washington, DC: Society for Neuroscience.
- Kyle, C., Smith, A. C., Gray, D. T., Burke, S. N., & Barnes, C. A. (2017, November). Temporal contiguity predicts reward association learning in bonnet macaques. Program No. 712.10. 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience.
- Malem-Shinitski, N., Gray, D. T., Burke, S. N., Smith, A., Barnes, C. A., & Ba, D. (2017, November). A separable state-space model of learning across trials and days in an aging study in macaque monkeys. Program No. 712.11. 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience.
- Pyon, W., Gray, D. T., Chawla, M. K., & Barnes, C. A. (2017, November). An alternative to dye-based approaches to remove lipofuscin-induced background autofluorescence from primate brain tissue. Program No. 712.13. 2017 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience.
- Samson, R. D., Duarte, L., & Barnes, C. A. (2017, November). Preserved overall basal firing rates in aged rat basolateral complex of the amygdala, but neurons from aged rats are more engaged in anticipation of rewards compared to young rats. Program No. 712.20. Washington, DC: Society for Neuroscience.
- Shinitski, N. M., Zhang, Y., Gray, D. T., Burke, S. N., Barnes, C. A., & Demba, B. (2017, February). Can you teach an old monkey a new trick?. Computational and Systems Neuroscience (Cosyne). Salt Lake City, UT.
- Somasundar, V., Padmanabhan, R., Roysam, R., & Barnes, C. A. (2017, November). Semi-automated layer classification tool for defining cortical architecture. Program No. 712.15. Washington, DC: Society for Neuroscience.
- Andersh, K. M., Gray, D. T., Smith, A. C., Burke, S. N., Gazzaley, A., & Barnes, C. A. (2016, November). Age-related attentional control and set shifting impairments arise independently in macaque monkeys. Program No. 182.14. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Andersh, K., Gray, D. T., & Barnes, C. A. (2016, January). Age-related reversal learning impairment in bonnet macaques. Twenty-seventh Annual Undergraduate Biology Research Program. Tucson, AZ.
- Bleul, C., Chawla, M. K., Carey, N. J., Siniard, A. L., DeBoth, M. D., Barnes, C. A., & Huentelman, M. J. (2016, November). Activity regulated transcript identification in the hippocampus and the genetic association with AD risk. Program No. 182.07. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Chawla, M. K., Nguyen, C., Sadacher, G. S., Gray, D. T., Huentelman, M. J., & Barnes, C. A. (2016, November). Arc mRNA induction thresholds following electro-convulsive shock treatment may be regulated by dendritic Ca++ plateau potentials. Program No. 182.08. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Comrie, A. E., Gray, D. T., Burke, S. N., Smith, A. C., & Barnes, C. A. (2016, April). Different monkey models of human cognitive aging exhibit disparities in learning and performance of memory tasks. 20th Annual Posters on the Hill. Washington, DC.
- Comrie, A. E., Lister, J. P., Chawla, M. K., & Barnes, C. A. (2016, January). Effects of age and odors on neuronal population activity in rat lateral entorhinal cortex during track-running behavior. Twenty-seventh Annual Undergraduate Biology Research Program. Tucson, AZ.
- Comrie, A. E., Lister, J. P., Chawla, M. K., & Barnes, C. A. (2016, November). Activation of neuronal populations in young and aged rat Lateral Entorhinal Cortex during track-running behavior with odors. Program No. 182.09. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Corenblum, M. J., Ray, S., Long, M., Harder, B., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2016, February). A novel role of Nrf2 in the age-related decline in neural stem cell function. Stem Cell Models of Neural Regeneration and Disease. Dresden, Germany.
- Corenblum, M. J., Ray, S., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2016, November). An analysis of nrf2 expression and its effects on aging hippocampal neural stem cell function. Program No. 177.17. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- DeBoth, M., Ianov, L., Chawla, M. K., Rani, A., Kennedy, A. J., Piras, I., Day, J. J., Sinaird, A. L., Kumar, A., Sweatt, J. D., Foster, T. C., Barnes, C. A., & Huentelman, M. J. (2016, November). Transcriptional differences among hippocampal subregions. Program No. 182.06. 2016 Neuroscience Meeting Planne. San Diego, CA: Society for Neuroscience.
- Gilliland, A. G., Chawla, M. K., & Barnes, C. A. (2016, January). Classification of cognitive aptitudes using the Morris swim task during the entire rodent life span. Twenty-seventh Annual Undergraduate Biology Research Program. Tucson, AZ.
- Gray, D. T., Wiegand, J. P., Schimanski, L. A., Cowen, S. L., & Barnes, C. A. (2016, November). Age-related reduction in signal-to-noise ratio of sharp-wave ripple oscillations following behavior in aged rats. Program No. 182.11. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Ianov, L., DeBoth, M. D., Chawla, M. K., Rani, A., Kennedy, A. J., Piras, I., Day, J. J., Siniard, A. L., Kumar, A., Sweatt, J. D., Barnes, C. A., Huentelman, M., & Foster, T. C. (2016, November). Transcriptomic profile for determining regional vulnerability to age and cognitive impairment. Program No. 182.05. 2016 Neuroscience Meeting Planner. San Diego, CA:: Society for Neuroscience.
- Kyle, C. T., Bennett, J. L., Stokes, J. D., Permenter, M. R., Vogt, J. A., Ekstrom, A. D., & Barnes, C. A. (2016, November). Histology informed probabilistic hippocampal atlases of young and old rhesus macaques. Program No. 182.16. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Kyle, C., Stokes, J., Meltzer, J., Permenter, M. R., Vogt, J. A., Eckstrom, A. D., & Barnes, C. A. (2017, November). Convolutional neural networks for fast and accurate 3D reconstruction of histological sections. Program No. 245.01. Neuroscience 2017. Washington, DC: Society for Neuroscience.
- Lester, A. W., Kapellusch, A. J., Screen, R. T., & Barnes, C. A. (2016, November). Aged rats fail to integrate conflicting spatial reference frames. Program No. 182.10. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Madhavan, L., Corenblum, M. J., Ray, S., Long, M., Harder, B., Zhang, D. D., & Barnes, C. A. (2016, November). Targeting the Nrf2 pathway to improve neural stem cell function. Program No. 198.07. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Nguyen, M., Chawla, M. K., & Barnes, C. A. (2016, April). Arc fluorescence in situ hybridization in cleared whole brains utilizing hybridization chain reaction amplification. American Society for Biochemistry and Molecular Biology 2016 Annual Meeting. San Diego, CA.
- Nguyen, M., Chawla, M. K., & Barnes, C. A. (2016, January). Visualization of neurokinin B neurons in cleared whole brains. Twenty-seventh Annual Undergraduate Biology Research Program. University of Arizona.
- Pyon, W., Gray, D. T., Andersh, K. M., Permenter, M. R., Vogt, J. A., & Barnes, C. A. (2016, November). Cell counts of midbrain dopamine neurons in memory-impaired aged non-human primates. Program No. 182.15. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Samson, R. D., Duarte, L., & Barnes, C. A. (2016, November). Expectation of large rewards elicits bursts of beta-band oscillations in the aged rat amygdala. Program No. 182.12. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Umapathy, L., Gray, C. T., Burke, S. N., Trouard, T. P., & Barnes, C. A. (2016, November). Uncinate fasciculus integrity assessed in young and aged bonnet macaques. Program No. 182.13. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience.
- Wang, C., Pacheco, S., Baggett, B., Chawla, M., Gray, D., Utzinger, U., Barnes, C., Barnes, C. A., & Liang, R. (2016, April). Whole brain imaging with a scalable microscope, Clinical and Translational Biophotonics Conference. Clinical and Translational Biophotonics Conference. Ft. Lauderdale, FL.
- Andersh, K., Gray, D. T., & Barnes, C. A. (2015, November). Age-related reversal learning impairments in bonnet macaques. Annual Biomedical Research Conference for Minority Students. Seattle, WA.
- Bharadwaj, P. K., Burke, S. N., Trouard, T. P., Chen, K., Moeller, J. R., Barnes, C. A., & Alexander, G. E. (2015, October). Age-associated regional network pattern of MRI gray matter in the bonnet macaque. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Chance, F. S., Maurer, A. P., Burke, S. N., & Barnes, C. A. (2015, July). Different weightings of input components to hippocampal CA1 place cells in young and aged rats. 24th Annual Computational Neuroscience Meeting. Prague, Czech Republic.
- Chawla, M. K., Gray, D. T., Huentelman, <. K., & Barnes, C. A. (2015, October). Is Arc mRNA expression regulated by the threshold for dendritic Ca++ plateau potentials generated from integration of entorhinal cortical inputs to granule cells?. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Comrie, A. E., Chawla, M. K., Gray, D. T., Baggett, B. K., Utzinger, U., & Barnes, C. A. (2015, January). Novel methods for behavior-driven molecular and structural investigation in rodent whole brain. Twenty-sixth Annual Undergraduate Biology Research Program. Tucson, AZ: UBRP.
- Comrie, A., Gray, D. T., Burke, S. N., Smith, A. C., & Barnes, C. A. (2015, October). Species- and aged-related differences in learning and performance on working memory tasks in two species of macaque monkeys. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Corenblum, M. J., Ray, S., Remley, Q. W., Long, M., Harder, B., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2015, January). A novel role for nrf2 in neural stem cell function during aging. The Keap1/Nrf2 Pathway in Health Disease Conference. Cambridge, UK: Biochemical Society.
- Corenblum, M. J., Ray, S., Remley, Q. W., Long, M., Harder, B., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2015, June). A role for Nrf2 in neural stem cell function during aging. International Society for Stem Cell Research 2015 Annual Meetin. Stockholm, Sweden.
- Duarte, L., Samson, R. D., & Barnes, C. A. (2015, October). Enhanced beta band activity in the aged amygdala during probabilistic decision making. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Gray, D. T., Ashford, S. L., Pyon, W., Burke, S. N., Smith, A. C., & Barnes, C. A. (2015, October). Behavioral evidence for enhanced interference during working memory and associative learning tasks in aged macaques. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Koutia, A. J., Lester, A. W., & Barnes, C. A. (2015, January). Studying the effects of age on visual cue-based spatial navigation using a novel behavioral apparatus. Twenty-sixth Annual Undergraduate Biology Research Program. University of Arizona, Tucson: Undergraduate Biology Research Program.
- Kyle, C., Permenter, M. R., Vogt, J. A., & Barnes, C. A. (2015, October). Behavioral impact of long-term chronic implantation of neural recording devices in the rhesus macaque. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Lester, A. W., Koutia, A. J., & Barnes, C. A. (2015, October). Age-related changes in external cue-based navigation in the medial entorhinal-hippocampal network. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Liang, R., Wang, C., Pacheco, S., Baggett, B. K., Chawla, M. K., Gray, D. T., Utzinger, U., & Barnes, C. A. (2015, October). Understanding behavioral networks: A novel, scalable microscope designed to enable whole brain imaging of behavior-driven circuits with subcellular resolution. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Madhavan, L., Corenblum, M. J., Ray, S., Long, M., Harder, B., Zhang, D., & Barnes, C. A. (2015, October). A role for Nrf2 in neural stem cell function during aging. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Nguyen, M., Chawla, M. K., & Barnes, C. A. (2015, December). Visualization of neurokinin B neurons in cleared whole brains. The American Society for Cell Biology Annual Meeting. San Diego, CA..
- Samson, R. D., & Barnes, C. A. (2015, March). Age differences in strategy selection and risk preference during risk-based decision making. Decision Neuroscience and Aging Conference. Miami, FL.
- Samson, R. D., Duarte, L., & Barnes, C. A. (2015, October). Enhanced single unit firing to unexpected large rewards in aged amygdala neurons. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Takamatsu, C., Gray, D. T., Uprety, A. R., Espinoza, A. I., Koutia, A. K., Zavilla, A., Comrie, A. E., & Barnes, C. A. (2015, January). Understanding the role of inhibitory interneurons in cognitive aging. Twenty-sixth Annual Undergraduate Biology Research Program. University of Arizona, Tucson: Undergraduate Biology Research Program.
- Weigand, J. P., Gray, D. T., Schimanski, L. A., Lipa, P., Barnes, C. A., & Cowen, S. L. (2015, October). Time-dependent decrease in the peak frequency and power of hippocampal sharp-wave ripples and high-gamma events during post-behavior sleep in aged and young rats. 2015 Annual Meeting of the Society for Neuroscience. Chicago, IL.
- Chawla, M. K., Gray, D. T., Comrie, A. E., Baggett, B. K., Utzinger, U., & Barnes, C. A. (2014, November). Novel method for behavior-driven molecular and structural investigation in rodent whole brain. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Corenblum, M. J., Ray, S., Long, M., Harder, B., Zhang, D. D., Barnes, C. A., & Madhavan, L. (2014, December). Nfe2l2 modulates neural stem cell function during aging. Stem Cell Energetics Symposium. Berkeley, CA.More info(Abstract)
- Cowen, S. L., Wiegand, J., Gray, D. T., Schimanski, L. A., Lipa, P., & Barnes, C. A. (2014, November). Age-associated changes in spike-timing of hippocampal principal cells and interneurons during ripple oscillations. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Espinoza, A. I., Uprety, A. R., Lipa, P., Thorne, A., Hindley, T. R., & Barnes, C. A. (2014, January). Frontal cortical gamma frequency slowing in aging: Can C6 rescue cortical synchrony and decision speed?. Twenty-fifth Annual Undergraduate Biology Research Program.More info(Abstract)
- Fakurnejad, S., Engle, J. R., Gray, D. T., Burke, S. N., Plange, K., Recanzone, G. H., & Barnes, C. A. (2014, April). Normal aging is associated with sensory impairments in non-human primates. Twenty-fifth Annual Undergraduate Research, Scholarship and Creative Activities Conference. University of California at Davis: Davis, CA.More info(Abstract)
- Gray, D. T., Thome, A., Erickson, C. A., Lipa, P., Takamatsu, C. L., Comrie, A. E., & Barnes, C. A. (2014, November). Selective changes in inhibitory networks of the medical temporal lobe correlate with behavioral and electrophysiological deficits in aged rhesus macaques. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Han, P., Permenter, M. R., Vog, J. A., Engle, J. R., Barnes, C. A., & Shi, J. (2014, November). PACAP expression is downregulated in aged nonhuman primates. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Insel, N., & Barnes, C. A. (2014, July). Neuron population activity in the medial prefrontal cortex suggests superimposed codes for situation and situation value. Twenty-third Annual Computational Neuroscience Meeting. Quebec City, Canada.
- Miller, M. A., Mehravar, S., Gray, D. T., Koshy, A. A., Cabral, C. M., Chawla, M. K., Kieu, K. Q., Barnes, C. A., & Cowen, S. L. (2014, November). Non-linear optical imaging: A powerful new technique for acquiring high-resolution brain images and possible application for identifying cell types and neuronal activity. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Richards, A., Uprety, A. R., Alexander, G. E., Trouard, T. P., Mitchell, K. D., & Barnes, C. A. (2014, January). Cognitive and physiological changes that occur with gradual induction of hypertension in a Cyp1a1-Ren2 middle age transgenic rodent model. Twenty-fifth Annual Undergraduate Biology Research Program.More info(Abstract)
- Samson, F. D., Lester, A. W., Lipa, P., & Barnes, C. A. (2014, November). Aging is associated with altered intrinsic neural dynamics in the basolateral complex of the amygdala. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Siniard, A. L., Schrauwen, I., Corneveaux, J. J., Peden, J., Turk, M. N., De Both, M. D., Richholt, R. F., Mueller, M., Langbaum, J., Reiman, E., Caselli, R., Coleman, P., Barnes, C., Glisky, E., Ryan, L., & Huentelman, M. J. (2014, November). The influence of demographic and disease risk factors on paired associates learning in an internet recruited cohort of over 29,000 individuals. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Uprety, A. R., Espinoza, A. I., Richards, A., Smith, A. C., & Barnes, C. A. (2014, November). Behavioral of normal aged rats mimics the pattern of task performance of rats with hippocampal lesions on a W-track continuous spatial alternation task. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Wiegand, J., Gray, D. T., Schimanski, L. A., Lipa, P., Barnes, C. A., & Cowen, S. L. (2014, November). Age-related changes in high-frequency local field activity in the rodent hippocampus during ripple and inter-ripple periods. 2014 Annual Meeting of the Society for Neuroscience. Washington, DC.More info(Abstract)
- Burke, S. N., Maurer, A. P., Cowen, S. L., & Barnes, C. A. (2013, November). Perirhinal cortical interneurons exhibit reduced firing rate with advanced age. Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Change, F. S., Maurer, A. P., Burke, S. N., & Barnes, C. A. (2013, November). Dual input component models of CA1 activity in young and aged rats. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Chawla, M. K., Sedhadia, N., Olson, K., Alme, C. B., Moser, E. I., Moser, M. -., McNaughton, B. L., & Barnes, C. A. (2013, November). Mass trial induced under-expression of Arc mRNA in rat hippocampal neurons. 2013 Annual Meeting of the Society for Neuroscience. San Diego, cA.
- Engle, J. R., Archibeque, M. J., Permenter, M. R., Vogt, J. A., Dugger, B. N., Beach, T. G., & Barnes, C. A. (2013, November). Cerebral amyloid deposition and phosphorylated tau: relationships between age and cognitive status in the rhesus macaque. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Espinoza, A. I., Uprety, A., Thome, A., & Barnes, C. A. (2013, Jan). Rescuing age-related behavioral slowing via pharmacological enhancement of cortical gamma oscillations. Twenty-Fourth Annual Undergraduate Biology Research Program. Twenty-fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Ferng, J. J., Burke, S. B., & Barnes, C. A. (2013, January). Hippocampal place field activity in rats trained to walk forward and backwards. Twenty-fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Hay, M., Constantopoulos, E., Uprety, A. J., Samareh-Jahani, F., Barnes, C. A., & Konhilas, J. P. (2013, November). Cognitive dysfunction in heart failure and a protective role for angiotensin (1-7). 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Lester, A. W., Maurer, A. P., Burke, S. M., & Barnes, C. A. (2013, November). Preserved neural dynamics during reverse locomotion. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Liang, J., Lister, J. P., & Barnes, C. A. (2013, January). Aging does not affect the proportion of dorsal medial entorhinal cortex cells active during track running behavior. Twenty-fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Lister, J. P., Liang, J., & Barnes, C. A. (2013, November). Effect of age and changing odors on population activity in the medial entorhinal cortex during track running behavior. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Lu, L., Leutgeb, J. K., Tsao, A., Henriksen, E. J., Leutgeb, S., Barnes, C. A., Witter, M. P., Moser, M. -., & Moser, E. I. (2013, November). Impaired hippocampal rate remapping following lesions in the lateral entorhinal cortex. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Maurer, A. P., Thome, A., Bohne, K. M., Archibeque, M. J., Permenter, M. R., Vogt, J. A., Sprawla, K., Engle, J. R., & Barnes, C. A. (2013, November). Telemetric recordings from temporal lobe of a freely moving primate. 2013 Annual Meeting of the Society for Neuroscience,. San Diego, CA.
- Plange, K., Engle, J. R., Burke, S. N., Gray, D. T., & Barnes, C. A. (2013, November). Changes in sensory function are correlated with cognitive impairments in bonnet monkeys. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Salt, I., Kumar, S., Lister, J. P., & Barnes, C. A. (2013, January). Expression of the immediate early gene Arc while running on a wheel is similar to when exploring a spatial environment. Twenty-Fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Siniard, A. L., Corneveaux, J. J., Allen, A. N., Chawla, M. K., Turk, M. N., Reiman, R. A., Rose, H. E., Barnes, C. A., & Huentelman, M. J. (2013, November). Activity regulated transcript identification in the hippocampus and the genetic association with AD. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Thome, A., Chawla, M. K., Ramirez, V., Marrone, D. F., Lipa, P., Ellmore, T. M., McNaughton, B. L., & Barnes, C. A. (2013, November). Large scale molecular imaging of hippocampal network activity during real and virtual navigation in freely behaving primates. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Uprety, A. R., Lipa, P., Thome, A., Espinoza, A. I., Hindley, T. R., & Barnes, C. A. (2013, November). Frontal cortical gamma frequency slowing in aging: Can C6 rescue cortical synchrony and decision speed?. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
- Veeravelli, S., Yoshimaru, E., Hoang, L. T., Valdez, M., Alvarez, A., Barnes, C. A., & Trouard, T. P. (2013, January). Magnetic resonance imaging of the neurological effects of hypertension. Twenty-fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Xiong, M., Lister, J. P., & Barnes, C. A. (2013, January). Columnarity measurements and changes in cognitive performance in the aging brain. Twenty-fourth Annual Undergraduate Biology Research Program. University of Arizona, Tucson, AZ.
- Xiong, M., Morrison, W., Lister, J. P., Barnes, C. A., Cruze, L. R., & Rosene, D. L. (2013, November). Effect of aging on the microcolumnar structure of entorhinal cortex: correlation with performance on the spatial Morris water maze test. 2013 Annual Meeting of the Society for Neuroscience. San Diego, CA.
Reviews
- Barnes, C. A., Huentelman, M. J., Talboom, J. S., Chen, Z., & Lewis, C. R. (2020. Reinventing neuroaging research in the digital age.(pp 17–23). 43.
- Hay, M., Barnes, C. A., Huentelman, M., Brinton, R., & Ryan, L. (2020. Hypertension and age-related cognitive impairment: commons risk factors and a role for precision aging.. doi: 10.1007/s11906-020-01090-w.
- Gray, D. T., & Barnes, C. A. (2019. Experiments in macaque monkeys provide critical insights into age-associated changes in cognitive and sensory function.(pp 26247-26254). 116.
- Ryan, L., Hay, M., Huentelmann, M. J., Duarte, A., Rundek, T., Levin, B., Soldan, A., Pettigrew, C., Mehl, M., & Barnes, C. A. (2019. Precision Aging: Applying precision medicine to the field of cognitive aging.(p. 128). 11.
- Stern, Y., Barnes, C. A., Grady, C., Jones, R. N., & Raz, N. (2019. Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience. Neurobiology of Aging, 83:124-129(pp 124-129). 83.
- Burke, S. N., Gaynor, L. S., Barnes, C. A., Bauer, R. M., Roberson, E. D., & Ryan, L. (2018. Shared Functions of Perirhinal and Parahippocampal Cortices: Implications for Cognitive Aging.(pp 349-359). 41.
- Barnes, C. A. (2017. The aging navigational system.(pp 1019-1035). 9.
Others
- Barnes, C. A., Ryan, L., & Peterson, M. A. (2020, August). Nadel special issue introduction. Hippocampus.