Thomas J Anastasio
Associate Professor Emeritus of Molecular and Integrative Physiology
Associate Professor Emeritus of Biophysics and Quantitative Biology
Associate Professor Emeritus of Neuroscience
Computational Biology, Neurobiology
B.Sc. 1980 McGill University
Ph.D. 1986 University of Texas, Galveston
Postdoc.1988 John Hopkins University
Multilevel modeling of neurobiological systems in health and disease.
Many of the most interesting and important neurobiological phenomena, as well as the pathological processes underlying neurological diseases, involve interactions at multiple levels. For example, certain forms of Alzheimer Disease result from mutations in the genes that code for the proteins that process the beta-amyloid peptide, the build-up of which results in the dysfunction and death of neurons, which in turn lead to failure of the neural circuits and brain regions that mediate memory and cognition. Other multilevel processes are implicated in other neurological and psychological disorders. Our work concerns the computational modeling of multilevel neurobiological process, with a current focus on Alzheimer and other neurodegenerative diseases, mood disorders including depression and anxiety, and eating disorders. By representing experimental findings formally as declarations in a computer program, the multilevel physiology and pathophysiology of various neurobiological processes can be explored through simulation and analysis, leading to experimentally testable predictions and new perspectives on possible pharmacological interventions.
Anastasio, T.J. (2010) Tutorial on Neural Systems Modeling. Sinauer Associates, Sunderland, MA
Anastasio, T.J. (2011) Data-driven modeling of Alzheimer disease pathogenesis. Journal of Theoretical Biology 290:60-72.
Anastasio, T.J., Ehrenberger, K., Watson, P., Zhang, W. (2012) Individual and Collective Memory Formation: Analogous Processes on Different Levels. The MIT Press, Cambridge.
Anastasio, T.J. (2013) Exploring the contribution of estrogen to amyloid-beta regulation: a novel multifactorial computational modeling approach. Frontiers in Pharmacology 4: 16.
Anastasio, T.J. (2013) Computational search for hypotheses concerning the endocannabinoid contribution to the extinction of fear conditioning. Frontiers in Computational Neuroscience. 7: 74. doi: 10.3389/fncom.2013.00074
Anastasio, T.J. (2014) Computational identification of potential multitarget treatments for ameliorating the adverse effects of amyloid-beta on synaptic plasticity. Frontiers in Pharmacology. 5: 1. doi: 10.3389/fphar.2014.00085
Anastasio, T.J. (2014) Temporal-logic analysis of microglial phenotypic conversion with exposure to amyloid-β. Molecular BioSystems 11: 434-453. doi: 10.1039/c4mb00457d