AGING
Rajagopal S., Beltz A., Hampstead B.M., Polk T.A., (2024), Estimating individual trajectories of structural and cognitive decline in mild cognitive impairment for early prediction of progression to dementia of the Alzheimer’s type. scientific reports. 
Zuppichini, M.D., Hamlin A.M., Zhou, Q., Kim, E., Rajagopal, S., Beltz, A.M., & Polk, T.A. (2024), GABA Levels Decline with Age: A Longitudinal Study. Imaging Neuroscience.
Zhou Q., Branton G., Lessard A., Polk T.A., (2024), Dedifferentiation of neurocognitive function in aging. Neuroscience and Biobehavioral Psychology.
Goldenkoff E., Deluisi J., Destiny D., Lee T., Michon K., Brissenden J., Taylor S., Polk T.A., Vesia M. (2023), The behavioral and neural effects of parietal theta burst stimulation on the grasp network are stronger during a grasping task than at rest. Frontiers in Neuroscience.
Khammash D., Rajagopal S.K., Polk T.A., (2023). The neurobiology of aging. Neurobiology of Brain Disorders.
Simmonite, M., Peltier, S. J., & Polk, T. A. (2022). Age-related differences in GABA: Impact of analysis technique. BioRxiv.
Lalwani, P., Polk, T. A., & Garrett, D. D. (2022). Modulation of neural variability: Age-related reduction, GABAergic basis, and behavioral implications. BioRxiv.
Simmonite M., Polk T.A., (2022). Age-related declines in neural distinctiveness correlate across brain areas and result from both decreased reliability and increased confusability. Aging, Neuropsychology, and Cognition, 29(3), 483-499.
Lalwani P., Garrett D.D., Polk T.A., (2021). Dynamic recovery: GABA agonism restores neural variability in older, poorer performing adults. The Journal of Neuroscience.
, , , Polk T.A., (2021). Age-Related Differences in White Matter: Understanding Tensor-Based Results Using Fixel-Based Analysis. Cerebral Cortex.
, , ,,,, , , , , , Polk T.A., (2021). GABA levels in ventral visual cortex decline with age and are associated with neural distinctiveness. Neurobiology of Aging.
Iordan, A., Moored, K., Katz, B., Cooke, K., Buschkuehl, M., Jaeggi, S., Polk, T., Peltier, S., Jonides, J., & Reuter-Lorenz, P. (2021). Age Differences in Functional Network Reconfiguration with Working Memory Training. Human Brain Mapping.
Noohi F, Kinnaird C, De Dios YE, Kofman IS, Wood S, Bloomberg J, Mulavara A, Sienko KH, Polk TA, & Seidler RD (2020). Age differences in vestibular brain connectivity are associated with balance performance. Frontiers in Aging Neuroscience.
Garrett DD, Epp S, Kleemeyer M, Lindenberger U, & Polk TA (2020). Higher performers upregulate brain signal variability in response to more feature-rich visual input. Neuroimage.
Iordan AD, Cooke, KA, Moored KD, Katz B, Buschkuehl M, Jaeggi SM, Polk TA, Peltier SJ, Jonides J, & Reuter-Lorenz PA (2020). Neural Correlates of Working Memory Training: Evidence for Plasticity in Older Adults. Neuroimage.
Cassady K, Gagnon H, Freiburger E, Lalwani P, Simmonite M, Park D, Peltier SJ, Taylor SF, Weissman DH, Seidler RD, & Polk TA (2020). Network segregation varies with neural distinctiveness in sensorimotor cortex. NeuroImage, 212:1166632. doi: 10.1016/j.neuroimage.2020.116663.
Koch C, Li SC, Polk TA, & Schuck NW (2020). Effects of aging on encoding of walking direction in the human brain. Neuropsychologia, 141:107379. doi: 10.1016/j.neuropsychologia.2020.107379.
Noohi F, Kinnaird C, DeDios Y, Kofman IS, Wood S, Bloomberg J, Mulavara A, Sienko K, Polk TA, & Seidler R (2019). Deactivation of somatosensory and visual cortices during vestibular stimulation is associated with older age and poorer balance. PLoS One. PLoS ONE 14(9): e0221954. https://doi.org/10.1371/journal.pone.0221954.
Cassady K., Gagnon H., Lalwani P., Simmonite M., Foerster B., Park D., Peltier S.J., Petrou M., Taylor S.F., Weissman D.H., Seidler R.D., Polk T.A., (2019). Sensorimotor network segregation declines with age and is linked to GABA and to sensorimotor performance. Neuroimage, 186:234-244.
Gagnon, H., Simmonite, M., Cassady, K., Chamberlain, J., Freiburger, E., Lalwani, P., … & Seidler, R. D. (2019). Michigan Neural Distinctiveness (MiND) study protocol: investigating the scope, causes, and consequences of age-related neural dedifferentiation. BMC neurology, 19(1), 61.
Lalwani, P., Gagnon, H., Cassady, K. E., Simmonite, M., Peltier, S. J., Seidler, R. D., & Polk, T. A. (2019). Neural distinctiveness declines with age in auditory cortex and is associated with auditory GABA levels. Neuroimage, 11603.
Simmonite, M., Carp, J., Foerster, B. R., Ossher, L., Petrou, M., Weissman, D. H., & Polk, T. A. (2019). Age-related declines in occipital GABA are associated with reduced fluid processing ability. Academic radiology.
Polk, T.A. (2018). The Learning Brain. 24-lecture course for The Great Courses.
Iordan A.D., Cooke K.A., Moored K.D., Katz B., Buschkuehl M., Jaeggi S.M., Jonides J., Peltier S., Polk T.A., Reuter-Lorenz P.A. (2017). Aging and Network Properties: Stability over Time and Links with Learning during Working Memory Training. Frontiers in Aging Neuroscience, 9(419):1-18.
Kleemeyer M.K., Polk T.A., Schaefer S., Bodammer N.C., Brechtel L., Lindenberger U. (2017). Exercise-induced fitness changes correlate with changes in neural specificity in older adults. Frontiers in Human Neuroscience, 11(123):1-8.
Polk, T.A. (2016). The Aging Brain. 12-lecture course on DVD for The Great Courses.
Schuck, N.W., Doeller, C.F., Polk, T.A., Lindenberger, U., & Li, S.C. (2015). Human aging alters the neural computation and representation of space. Neuroimage, 117, 141-150.
Park, J., Carp, J., Kennedy, K.M., Rodrigue, K.M., Bischof, G.N., Huang, C.M.. Rieck, J.R., Polk, T.A., & Park, D.C. (2012). Neural broadening or neural attenuation? Investigating age-related dedifferentiation in the face network in a large lifespan sample. Journal of Neuroscience, 32(6), 2154-2158.
Huang, C.M., Polk, T.A., Goh, J.O., & Park, D.C. (2012). Both left and right parietal activations contribute to compensatory processes in normal aging. Neuropsychologia, 50(1), 55-66.
Carp, J., Park, J., Hebrank, A., Park, D.C., & Polk, T.A. (2011). Age-related neural dedifferentiation in the motor system. PLoS One, 6(12): e29411.
Carp, J.M., Polk, T.A., Park, J., & Park, D.C. (2011). Age differences in neural distinctiveness revealed by multi-voxel pattern analysis. Neuroimage, 56(2), 736-743.
Park, J., Carp, J., Hebrank, A.C., Park, D.C., & Polk, T.A. (2010). Neural specificity predicts fluid processing ability in older adults. Journal of Neuroscience, 30(27), 9253-9259.
Park, D.C., Polk, T.A., Hebrank, A.C., & Jenkins, L. (2010). Age differences in default mode activity on easy and difficult spatial judgment tasks. Frontiers in Human Neuroscience, doi:10.3389/neuro.09.075.2009.
Park, D.C., Polk, T.A., Park, R., Minnear, M., Savage, A., & Smith, M.R. (2004). Aging reduces neural specialization in ventral visual cortex. PNAS, 101(35), 13091-13095.
Park, D.C., Welsh, R.C., Marhshuetz, C., Gutchess, A.H., Mikels, J., Polk, T.A., Noll, D.C., & Taylor, S.F. (2003). Working memory for complex scenes: Age differences in frontal and hippocampal activations. Journal of Cognitive Neuroscience, 15(8), 1122-1134.
Park, D.C., Polk, T.A., Mikels, J., Marhsuetz, C., & Taylor, S. (2001). Cerebral aging: The integration of behavioral and neurobiological models of cognitive function. Dialogues in Clinical Neuroscience, 3(3), 151-165.
PERSON-SPECIFIC IMAGING
NATURE AND NURTURE
Park, J., Park, D.C., & Polk, T.A. (2012). Investigating unique environmental contributions to the neural representation of written words: A monozygotic twin study. PLoS ONE, 7(2): e31512.
Park, J., Shedden, K.,& Polk, T.A. (2012). Correlation and heritability in neuroimaging datasets: A spatial decomposition approach with application to an fMRI study of twins. Neuroimage, 59(2), 1132-1142.
Park, J., Newman, L.I., & Polk, T.A. (2009). Face processing: The interplay of nature and nurture. The Neuroscientist, 15(5), 445-449.
Polk, T.A., Park, J., Smith, M.R., & Park, D.C. (2007). Nature vs. nurture in ventral visual cortex: A functional magnetic resonance imaging study of twins. Journal of Neuroscience, 27(51), 13921-13925.
Hamilton, J.P., Mirkin, M., Polk, T.A. (2006). Category-level contributions to the alphanumeric category effect in visual search. Psychonomic Bulletin & Review, 13(6), 1074-1077.
Polk, T.A., Stallcup, M., Aguirre, G. K., Alsop, D.C., D’Esposito, M., Detre, J.A., Farah, M.J. (2002). Neural specialization for letter recognition. Journal of Cognitive Neuroscience, 14(2), 145-159.
Polk, T.A., Reed, C.L., Keenan, J.M., Hogarth, P. Anderson, C.A. (2001). A dissociation between symbolic number knowledge and analogue magnitude information. Brain and Cognition, 47, 545-563.
Polk, T.A., Farah, M.J. (1998). The neural development and organization of letter recognition: Evidence from functional neuroimaging, computational modeling, and behavioral studies. Proceedings of the National Academy of Sciences of the United States of America, 95(3), 847-852.
Polk, T.A., Farah, M.J. (1995). Brain localization for arbitrary stimulus categories: A simple account based on Hebbian learning. Proceedings of the National Academy of Sciences of the United States of America, 92(26), 12370-12373.
Polk, T.A., Farah, M.J. (1995). Late experience alters vision. Nature, 376(6542), 648-649.
READING
Park, J., Hebrank, A., Polk, T.A., & Park, D.C. (2012). Neural dissociation of number from letter recognition and its relationship to parietal numerical processing. Journal of Cognitive Neuroscience, 24(1), 39-50.
Polk, T.A., Lacey, H.P., Nelson, J.K., Demiralp, E., Newman, L.I., Krauss, D., Raheja, A., & Farah, M.J. (2009). The development of abstract letter representations for reading: Evidence for the role of context. Cognitive Neuropsychology, 26(1), 70-90.
Polk, T.A., Drake, R.M., Jonides, J.J., Smith, M.R., Smith, E.E. (2008). Attention enhances the neural processing of relevant features and suppresses the processing of irrelevant features in humans: A functional magnetic resonance imaging study of the stroop task. Journal of Neuroscience, 28(51), 13786-13792.
Vannest, J., Polk, T.A., & Lewis, R.L. (2005). Dual-route processing of complex words: New fMRI evidence from derivational suffix. Cognitive, Affective, and Behavioral Neuroscience, 5(1), 67-76.
Polk, T.A., Farah, M.J. (2002). Functional MRI evidence for an abstract, not perceptual, word-form area. Journal of Experimental Psychology: General, 131(1), 65-72.
Polk, T.A., Stallcup, M., Aguirre, G., Alsop, D., D’Esposito, M., Detre, J., & Farah, M.J. (2002). Neural specialization for letter recognition. Journal of Cognitive Neuroscience, 14(2), 145-159.
Polk, T.A., & Farah, M. (1998). The neural development and organization of letter recognition: Evidence from functional neuroimaging, computational modeling, and behavioral studies. PNAS, 95, 847-852.
Polk, T.A., Farah, M.J. (1997). A simple common contexts explanation for the development of abstract letter identities. Neural Computation, 9(6), 1277-1289.
COMPUTATIONAL MODELING
Rajagopal S. (2023), What’s Next if Reward is Enough? Insights for AGI from Animal Reinforcement Learning. Journal of Artificial General Intelligence.
Simen, P., & Polk, T.A. (2010). A symbolic/subsymbolic interface protocol for cognitive modeling. Logic Journal of IGPL, 18(5), 705-761.
Newman, L.I., & Polk, T.A. (2008). The computational cognitive neuroscience of learning and memory: Principles and models. In Guadagnoli, M., Benjamin, A., DeBelle, S., Etnyre, B., & Polk, T.A. (eds.) Human Learning: Biology, Brain, and Neuroscience. Elsevier Science, 77-99.
Newman, L.I., Polk, T.A. (2007). The emergence of semantic topography in a neurally-inspired computational model. Proceedings of ICCM, Eighth International Conference on Cognitive Modeling, 103-108.
Lewis, R.L., Polk, T.A., Laird, J.E. (eds.) (2007). The Proceedings of the 8th International Conference on Cognitive Modeling. Psychology Press/Taylor & Francis.
Peltier, S.J., Polk, T.A., Noll, D.C. (2003). Detecting low-frequency functional connectivity in fMRI using a self-organizing map (SOM) algorithm. Human Brain Mapping, 20(4), 220-226.
Polk, T.A., Simen, P., Lewis, R.L., & Freedman, E. (2002). A computational approach to control in complex cognition. Cognitive Brain Research, 15, 71-83.
Jones, M., Polk, T.A. (2002). An attractor network model of serial recall. Cognitive Systems Research, 3(1), 45-55.
Polk, T.A., Behensky, C., Gonzalez, R., Smith, E.E. (2002). Rating the similarity of simple perceptual stimuli: Asymmetries induced by manipulating exposure frequency. Cognition, 82(3), B75-88.
Polk, T.A., & Seifert, C. (eds.) (2002). Cognitive Modeling. MIT Press.
ADDICTION AND APPLIED WORK
Polk, T.A. (2015). The Addictive Brain. 12-lecture course on DVD for The Great Courses.
Jasinska, A.J., Yasuda, M., Rhodes, R.E., Wang, C., & Polk, T.A. (2012). Task difficulty modulates the impact of emotional stimuli on neural response in cognitive-control regions. Frontiers in Psychology, 3(345).
Jasinska, A.J., Ho, S.S., Taylor, S.F., Burmeister, M., Villafuerte, S., & Polk, T.A. (2012). Influence of threat and serotonin transporter genotype on interference effects. Frontiers in Psychology, 3:139.
Jasinska, A.J., Lowry, C.A., & Burmeister, M. (2012). Serotonin transporter gene, stress, and raphe-raphe interactions: A molecular mechanism of depression. Trends in Neurosciences, 35(7), 395-402.
Jasinska, A.J., Chua, H.F., Ho, S., Polk, T.A., Rozek, L.S., & Stretcher, V.J. (2012). Amygdala response to smoking-cessation messages mediates the effects of serotonin transporter gene variation on quitting. Neuroimage, 60, 766-773.
Chua, H.F., Ho, S.H., Jasinska, A.J., Welsh, R.C., Polk, T.A., Liberzon, I., & Stretcher, V.J. (2011). Self-related processing of tailored smoking-cessation messages predicts successful quitting. Nature Neuroscience, 14(4), 426-427.
Jasinska, A.J., Ramamoorthy, A., & Crew, C.M. (2011). Toward a neurobiological model of cue-induced self-control in decision making: relevance to addiction and obesity. Journal of Neuroscience, 31(45), 16139-16141.
Resnicow, K., Stretcher, V., Couper, M., Chua, H., Little, R., Nair, V., Polk, T.A., & Atienza, A.A. (2010). Methodological and design issues in patient-centered e-Health research. American Journal of Preventive Medicine, 38(1), 98-102.
Chua, H.F., Polk, T., Welsh, R., Liberzon, I., & Stretcher, V. (2009). Neural responses to elements of a web-based smoking cessation program. Studies in Health Technology and Informatics, 144, 174-178.
Yoon, C., Gutchess, A.H., Feinberg, F., Polk, T.A. (2006). A functional magnetic resonance imaging study of neural dissociations between brand and person judgments. Journal of Consumer Research, 33(1), 31-40.