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.
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