P583. Morphometric Similarity Network Alterations in Youth at Clinical High Risk for Psychosis

Elaine F Walker,Jennifer K Forsyth,Carrie E Bearden,Ming T Tsuang,Jean Addington,Gil Hoftman,Daniel H Mathalon,Charles Schleifer,Scott W Woods,Eno Inikori,Jakob Seidlitz,Tyrone D Cannon,Barbara A Cornblatt,Kristin S Cadenhead,Diana O Perkins

doi:10.1016/j.biopsych.2022.02.820

P583. Morphometric Similarity Network Alterations in Youth at Clinical High Risk for Psychosis

Elaine F Walker, Jennifer K Forsyth + Show 13 more

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https://doi.org/10.1016/j.biopsych.2022.02.820

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Journal: Biological Psychiatry

Publication Date: Apr 28, 2022

Affiliation: Emory University, University of Washington, California Western School of Law, University of Calgary, San Francisco VA Medical Center, Yale University, Children's Hospital of Philadelphia, Zucker Hillside Hospital, University of North Carolina at Chapel Hill

#Morphometric Similarity Networks #Clinical High Risk For Psychosis + Show 8 more

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Abstract

Given increasing recognition that psychosis onset is a late stage of a neurodevelopmental illness, and the importance of early intervention, efforts are focused on understanding the pathophysiology of early stages of psychosis. Here we characterize morphometric similarity networks (MSNs) using structural brain imaging measures in subjects at clinical high-risk (CHR) who converted (CHRc) or did not convert (CHRnc) to psychosis relative to healthy comparison (HC) subjects. We incorporate postmortem transcriptomic data from the Allen Human Brain Atlas (AHBA) to relate transcriptomic and MSN cortical spatial patterns.

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