2024
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 
Rajagopal S., Durkee M.I. (2024), Internalizing the model minority myth: Dangers for Asian American mental health and attitudes towards other minorities. Wiley
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.
2023
Rajagopal S. (2023), What’s Next if Reward is Enough? Insights for AGI from Animal Reinforcement Learning. Journal of Artificial General Intelligence.
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.
2022
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.
Michon, K. J., Khammash, D., Simmonite, M., Hamlin, A. M., & Polk, T. A. (2022). Person-Specific and Precision Neuroimaging: Current Methods and Future Directions. NeuroImage, 119589.
2021
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.
2020
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.
Polk, T.A. (2020). Shocking Psychological Studies. 6-lecture course for The Great Courses.
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.
2019
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.
Kammash D., Simmonite M., Polk T.A., Taylor S.F., Meehan S.K., (2019). Temporal dynamics of corticocortical inhibition in human visual cortex: A TMS Study. Neuroscience.
Simmonite M., Lovden M., & Polk T.A., (2019). Independent components of neural activation before and after 100 days of cognitive training. Journal of Cognitive Neuroscience, 31(6), 808-820.
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.
Khammash, D., Simmonite, M., Polk, T. A., Taylor, S. F., & Meehan, S. K. (2019). Probing short-latency cortical inhibition in the visual cortex with transcranial magnetic stimulation: A reliability study. Brain Stimulation, 12(3), 702-704.
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.
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.
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.
2015-2018
Kang Y., Cooper N., Pandey P., Scholz C., O’Donnell M.B., Lieberman M.D., Taylor S.E., Strecher V.J., Dal Cin S., Konrath S., Polk T.A., Resnicow K., An L., Falk E.B. (2018). Effects of Self-Transcendence on Neural Responses to Health Messages and Behavior Change. Proceedings of the National Academy of Sciences, 115(40):9974-9979.
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.
Polk, T.A. (2015). The Addictive 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.
2010-2014
Park, J., Park, D.C., & Polk, T.A. (2013). Parietal functional connectivity in numerical cognition. Cerebral Cortex, 23(9), 2127-2135.
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.
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., 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.
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.
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.
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., 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.
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.
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.
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.
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.
Berman, M.G., Park, J., Gonzalez, R., Polk, T.A., Gehrke, A., Knaffla, S., & Jonides, J. (2010). Evaluating functional localizers: The case of the FFA. Neuroimage, 50, 56-71.
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.
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.
Simen, P., & Polk, T.A. (2010). A symbolic/subsymbolic interface protocol for cognitive modeling. Logic Journal of IGPL, 18(5), 705-761.
2005-2009
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., 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.
Jasinska, A.J., & Perkins, S.C. (2009). Impact of the tri-allelic serotonin transporter polymorphism on the white-matter tract connecting the amygdala and the prefrontal cortex. Journal of Neuroscience, 29(34), 10461-10462.
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.
Polk, T.A., Drake, R.M., Jonides, J., Smith, M.R., & Smith, E.E. (2008). Attention enhances the neural processing of attended features and suppresses the neural processing of unattended features in humans: An fMRI study of the Stroop task. Journal of Neuroscience, 28(51), 13786-13792.
Guadagnoli, M., Benjamin, A., DeBelle, S., Etnyre, B., & Polk, T.A. (eds.) (2008). Human Learning: Biology, Brain, and Neuroscience. Elsevier Science.
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.
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.
Newman, L.I., Polk, T.A. (2007). The emergence of semantic topography in a neurally-inspired computational model. Proceedings of ICCM, 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.
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.
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.
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.
2000-2004
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.
Peltier, S., 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.
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.
Jones, M. & Polk, T.A. (2002). An attractor network model of serial recall. Cognitive Systems Research, 3(1), 45-55.
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., 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-B88.
Polk, T.A., & Seifert, C. (eds.) (2002). Cognitive Modeling. MIT Press.
Polk, T.A., Reed, C., Keegan, J., Hogarth, P., & Anderson, C. (2001). A dissociation between symbolic number knowledge and analogue magnitude information. Brain and Cognition, 47, 545-563.
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.
1995-1999
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. (1997). A simple common contexts explanation for the development of abstract letter identities. Neural Computation, 9(6), 1275-1287.
Polk, T.A., & Farah, M. (1995). Brain localization for arbitrary stimulus categories: A simple account based on Hebbian learning. PNAS, 92, 12370-12373.
Polk, T.A., & Farah, M. (1995). Late experience alters vision. Nature, 376(6542), 648-649.
Polk, T.A., & Newell, A. (1995). Deduction as verbal reasoning. Psychological Review, 102(3), 533-566.
1990-1994
Polk, T.A. & Newell, A. (1993). Mental models: More or less. Behavioral and Brain Sciences, 16(2):362-363.