Eric Reavis

Eric Reavis is an Assistant Professor in the Department of Psychiatry and Biobehavioral Sciences at UCLA School of Medicine. His research focuses on understanding alterations in perception, cognition, and social information processing in schizophrenia and related conditions. Using advanced neuroimaging (fMRI, EEG, structural MRI) and behavioral assessments, he investigates neural mechanisms underlying social dysfunction and cognitive deficits.

• NIH R01MH128720 (2021-2026): Principal Investigator on research about disrupted neural synchrony as a biomarker for social dysfunction in schizophrenia.

His recent publications (2023-2025) examine topics like social motivation in mentally ill veterans, neural adaptation in bipolar disorder, and EEG biomarkers for visual processing deficits. Notable methodologies include machine learning analysis of social isolation, ERP studies of face processing, and graph-theoretic analysis of brain connectivity. Collaborations include researchers like Michael Green, Amanda McCleery, and David Miklowitz.