Carol A Barnes

Interests

Research

The neurobiology of memory change during aging.

Teaching

Barnes has taught a senior undergraduate/graduate level interdisciplinary course in Gerontology. The topics include include the biology, psychology and sociology of aging.

Courses

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.

Journals/Publications

• 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.
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  Animal 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.
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  Deficits 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.
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  Deficits 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.
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  Precision 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.
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  The 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
• 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.
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  The 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., 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.
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  The 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.
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  Significant 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.
• 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.
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  Anatomical 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.
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  Cognitive 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.
• 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.
• 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.
• 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.
• 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.

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 info

  Cognitive 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.