Current Research Areas

Analysis of large-scale brain activity

We develop techniques for analyzing and visualizing the rich spatiotemporal structure and network organization of brain activity. In one avenue, we are studying time-varying changes in fMRI signal characteristics across scales of seconds to minutes, and using multimodal imaging and behavioral measures to examine patterns that may give rise to ongoing physiological and cognitive processes. These "dynamic" imaging features may reveal new information about state-dependent brain activity and provide more sensitive disease biomarkers.

Selected publications:

State-dependent brain activity

States of alertness and vigilance are closely intertwined with behavior, cognition, and numerous disorders. By integrating fMRI with simultaneous EEG, behavioral, and physiological recordings, we are studying brain-wide signatures of vigilance and autonomic activity, and developing computational methods for detecting changes in vigilance levels from fMRI data alone. This research also aims to increase the sensitivity of fMRI studies more broadly by modeling state-related variability in fMRI datasets.

Selected publications:

​Mechanisms and origins of fMRI signals/networks

fMRI signals have complex neural and physiological underpinnings. In one avenue, we work on characterizing the effects of systemic physiological processes on fMRI signals and their long-range correlation patterns, translating this knowledge into tools for improving the sensitivity and interpretation of fMRI studies. Secondly, to probe the mechanisms supporting large-scale network organization, we integrate fMRI with complementary biological measures and targeted manipulations of neural circuits.

​Selected publications: