By Category


Zhou Q., Branton G., Lessard A., Polk T.A., (2024), Dedifferentiation of neurocognitive function in aging. Neuroscience and Biobehavioral Psychology. ACP_PDF 2_file_document

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.  ACP_PDF 2_file_document

Khammash D., Rajagopal S.K., Polk T.A., (2023). The neurobiology of aging. Neurobiology of Brain Disorders. ACP_PDF 2_file_document

Simmonite, M., Peltier, S. J., & Polk, T. A. (2022). Age-related differences in GABA: Impact of analysis technique. BioRxiv. ACP_PDF 2_file_document

Lalwani, P., Polk, T. A., & Garrett, D. D. (2022). Modulation of neural variability: Age-related reduction, GABAergic basis, and behavioral implications. BioRxiv. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Kelley S.Plass J.Bender A.R.Polk T.A., (2021). Age-Related Differences in White Matter: Understanding Tensor-Based Results Using Fixel-Based Analysis. Cerebral Cortex. ACP_PDF 2_file_document

Chamberlain J.DGagnon H.Lalwani P., Cassady K.E., Simmonite M., Foerster B.R.Petrou M.Seidler R.D.Taylor S.F.Weissman D.H.Park D.C.Polk T.A., (2021). GABA levels in ventral visual cortex decline with age and are associated with neural distinctiveness. Neurobiology of Aging. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Garrett DD, Epp S, Kleemeyer M, Lindenberger U, & Polk TA (2020). Higher performers upregulate brain signal variability in response to more feature-rich visual inputNeuroimageACP_PDF 2_file_document

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 AdultsNeuroimageACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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.ACP_PDF 2_file_document

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 dedifferentiationBMC neurology19(1), 61.ACP_PDF 2_file_document

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.ACP_PDF 2_file_document

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.ACP_PDF 2_file_document

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.ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document


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. ACP_PDF 2_file_document


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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Park, J., Newman, L.I., & Polk, T.A. (2009). Face processing: The interplay of nature and nurture. The Neuroscientist, 15(5), 445-449. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

 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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Polk, T.A., Farah, M.J. (1995). Late experience alters vision. Nature, 376(6542), 648-649. ACP_PDF 2_file_document


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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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.  ACP_PDF 2_file_document

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. ACP_PDF 2_file_document


Simen, P., & Polk, T.A. (2010). A symbolic/subsymbolic interface protocol for cognitive modeling. Logic Journal of IGPL, 18(5), 705-761. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Jones, M., Polk, T.A. (2002). An attractor network model of serial recall. Cognitive Systems Research, 3(1), 45-55. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

Polk, T.A., & Seifert, C. (eds.) (2002). Cognitive Modeling. MIT Press.


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). ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document

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. ACP_PDF 2_file_document