Georgia Tech Neuro Seminar
"Large-scale Network Organization in the Human Brain"
Randy Buckner, Ph.D.
Sosland Family Professor of Psychology and of Neuroscience
Director of the Psychiatric Neuroimaging Research Division
Harvard Medical School
To participate virtually, CLICK HERE
*Lunch provided for in-person attendees
Students and postdocs are invited to join our speaker for a discussion following the presentation. Sign-up HERE (add your name to the speaker's tab).
Randy Buckner received his B.A. in Psychology and his Ph.D. in Neurosciences from Washington University in St. Louis. He is a member of the Center for Brain Science at Harvard University, and the Director of the Psychiatric Neuroimaging Research Division and faculty of the Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital / Harvard Medical School.
Buckner’s laboratory explores the organization and function of large-scale human brain networks that contribute to high-level cognition. Using multiple behavioral, neuroimaging and computational approaches they characterize brain networks and how variation gives rise to differences in network organization and behavior, including dysfunction in neuropsychiatric illness. A series of recent studies comprehensively characterized the organization of the cortex, striatum, and cerebellum with a particular focus on brain association networks important to memory and cognitive control. Using the understanding of normal organization as a foundation, they also explore disturbances in network organization in a range of neuropsychiatric and neurodegenerative illnesses. Current projects seek to determine whether dysfunction can be detected prior to clinical symptoms in individuals at risk for illness. Recently their work has expanded to explore the detailed organization of individual brains and how that organization differs across people and changes over time. These investigations use approaches tailored to extract idiosyncratic details of individual brain anatomy as well as approaches to continuous behavioral monitoring via digital phenotyping on smartphones and wearables. This push toward the individual is critical for clinical translation as well as a number of open questions about how transient brain states influence behavior in the real world.
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