"Understanding Psychopathology Through Neuroimaging and Computation" with Alan Anticevic, Ph.D.
Neuropsychiatric disorders such as schizophrenia profoundly alter the structure and function of distributed neural networks and presents a massive health and economic burden. Non-invasive functional neuroimaging tools have evolved sufficiently to allow reliable characterization of large-scale distributed neural systems in humans. Such approaches have been applied to better understand large-scale neural network disturbances in neuropsychiatric disease, particularly using task-based and resting-state techniques. However, human neuroimaging does not yet allow the evaluation of individual neurons within local circuits, where pharmacological treatments ultimately exert their effects. This limitation constitutes an important obstacle to the effort to translate findings from animal research to humans and from healthy humans to patient populations. Integrating new neuroscientific tools may help to bridge these gaps. Two complementary approaches are discussed in the context of understanding cognitive deficits in schizophrenia - namely computational modeling and pharmacological neuroimaging.
New York Psychoanalytic Society & Institute
247 East 82nd Street (between 2nd and 3rd Avenues)
The Marianne & Nicholas Young Auditorium