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Clinical Psychologist Greg Perlman, PhD Joins Staff to Implement ADEPT Study

Greg Perlman, PhD, a clinical psychologist, has joined the staff of the Psychiatric Epidemiology Division of the Department of Psychiatry and Behavioral Science at Stony Brook University as a postdoctoral fellow. He will work with Roman Kotov, PhD and others on the ADEPT project, a longitudinal study of adolescent girls, which investigates the associations between personality development, well-being, and depression.  Dr. Perlman’s responsibilities for the project include training and supervising interviewers, analyzing data, grant writing, and helping to prepare manuscripts for publication. He also will oversee the EEG laboratory in Putnam Hall.

ADEPT is a joint project of the Department of Psychiatry and Behavioral Science and the Department of Psychology. It is funded by a $2.8 million grant from the National Institute of Mental Health (NIMH). Roman Kotov, PhD is the principle investigator. Drs. Daniel Klein and Greg Hajcak from the Department of Psychology and Dr. Joan Broderick from the Department of Psychiatry and Behavioral Science are co-investigators. The study is part of a long-range effort by the NIMH to develop new methods for preventing depression.  As part of the study, adolescents will undergo an assessment of event-related potentials in a new EEG laboratory in Putnam Hall to identify and better develop biological markers of risk for adolescent depression. 

Dr. Perlman earned his doctoral degree in Clinical Science and Psychopathology Research from the University of Minnesota, where he studied physiological correlates of risk for adolescent-onset externalizing psychopathology.   He completed his clinical internship at the University of California-San Diego.  He recently completed one year of training as an NIMH T32 Fellow in the Neurobehavioral Aspects of Personality and Psychopathology at the University of Minnesota.  His research interests are in psychophysiology, diagnostic system, psychological assessment, behavioral genetics, and structural equation modeling.