Meeting Banner
Abstract #0433

Identification of a Schizophrenia-Related Disease Pattern using Resting State fMRI

An Vo 1 , Ivana De Lucia 1 , Delbert G Robinson 2,3 , Juan A Gallego 2,3 , Peter B Kingsley 4 , Miklos M Argyelan 2,3 , Anil K Malhotra 2,3 , Aziz M Ulug 1,5 , and Philip R Szeszko 2,3

1 Center for Neurosciences, Feinstein Institute for Medical Research, Manhasset, New York, United States, 2 Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, United States, 3 Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, New York, United States, 4 Radiology, North Shore University Hospital, Manhasset, New York, United States, 5 Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey

Psychosis is a chronic and often lifelong illness associated with significant disability. In this study we report the identification of a psychosis related disease pattern (PDP) using resting state fMRI from multivariate data analysis. The PDP was identified initially in first-episode patients with psychosis (training dataset) and then replicated in an independent cohort of first-episode psychosis patients and a second independent replication dataset of chronic psychosis patients. Our findings may be indicative of a trait-related biomarker for the identification of psychosis.

This abstract and the presentation materials are available to members only; a login is required.

Join Here