Ph.D., Univ. of Texas at Dallas M.S., Univ. of Texas at Dallas B.A., Florida International Univ.
Phillip Agres became interested in how the brain supports complex cognition while studying for his BA in Psychology at Florida International University. His interest in the complexity of episodic memories and the functional interconnections of the brain motivated him to pursue graduate studies at the University of Texas at Dallas (UTD). As a researcher at UTD’s Center for Vital Longevity, Phillip developed an interest in using graph theory to model complex functional brain networks and better understand large-scale neural interactions. Using this approach, he undertook a research program focused on understanding the role of brain networks in supporting memory using non-invasive research techniques, combing fMRI and transcranial magnetic stimulation (TMS). As a postdoctoral researcher at the University of Chicago, he applied these principles to develop personalized approaches aimed at improving memory function in aging populations. Phillip’s interest in teaching grew from his experience mentoring younger researchers and leading a Research Methods course at Loyola University Chicago. He is committed to helping students to develop and pursue their own research interests while building the skills to become independent researchers.
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Cognitive neuroscience of memory
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Brain networks
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Neuroimaging methods
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Healthy aging
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Episodic memory & age-related memory decline
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Graph theory approaches to functional brain networks
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Network-guided Transcranial Magnetic Stimulation intervention
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Individualized & precision functional neuroimaging
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Agres, P.F., Han, L., Chan, M.Y., Nair, A.S., Carreno, C.A., Wig,
G.S. (Under review). Individualized targeting of human brain networks
produces spatially structured changes in functional connectivity.
- Badillo Goicoechea, E.*, Agres, P. F.*, Rau, J. M., San Agustín, A., & Voss, J. L. (2026). A meta-analysis suggests that TMS targeting the hippocampal network selectively improves episodic memory. eLife, 14, RP108934. * Indicates authors contributed equally.
- Han, L., Chan, M. Y., Agres, P. F., Winter-Nelson, E., Zhang, Z., & Wig, G. S. (2024). Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization. Cerebral cortex, 34(2), bhad506.
- Han, L., Savalia, N.K., Agres, P.F., Chan, M.Y., Nair, A.S., Wig, G.S. (2018). Functional parcellation of the cerebral cortex across the human adult lifespan. Cerebral Cortex. 28(12): 4403-4423.
- Savalia, N. K., Agres, P. F., Chan, M. Y., Feczko, E. J., Kennedy, K. M., & Wig, G. S. (2017). Motion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motion. Human brain mapping, 38(1), 472-492.
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