Radiomic features of gray matter in never-treated first-episode schizophrenia

Author:

Zhu Fei1,Xiao Yuan1,Tao Bo1,Gao Ziyang1,Gao Xin1,Zhao Qiannan1,Zhang Qi1,Tang Biqiu1,Zhang Xiaodi2,Zhao Yu3,Bishop Jeffrey R4,Sweeney John A15,Lui Su1ORCID

Affiliation:

1. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University , Chengdu 610041 , China

2. Philips Healthcare , Chengdu 610041 , China

3. Department of Radiology, West China Hospital of Sichuan University , Chengdu 610041 , China

4. Department of Experimental and Clinical Pharmacology and Department of Psychiatry and Behavioral Sciences, University of Minnesota , Minneapolis, MN 55455 , USA

5. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine , Cincinnati, OH 45219 , USA

Abstract

Abstract Alterations of radiomic features (RFs) in gray matter are observed in schizophrenia, of which the results may be limited by small study samples and confounding effects of drug therapies. We tested for RFs alterations of gray matter in never-treated first-episode schizophrenia (NT-FES) patients and examined their associations with known gene expression profiles. RFs were examined in the first sample with 197 NT-FES and 178 healthy controls (HCs) and validated in the second independent sample (90 NT-FES and 74 HCs). One-year follow-up data were available from 87 patients to determine whether RFs were associated with treatment outcomes. Associations between identified RFs in NT-FES and gene expression profiles were evaluated. NT-FES exhibited alterations of 30 RFs, with the greatest involvement of microstructural heterogeneity followed by measures of brain region shape. The identified RFs were mainly located in the central executive network, frontal-temporal network, and limbic system. Two baseline RFs with the involvement of microstructural heterogeneity predicted treatment response with moderate accuracy (78% for the first sample, 70% for the second sample). Exploratory analyses indicated that RF alterations were spatially related to the expression of schizophrenia risk genes. In summary, the present findings link brain abnormalities in schizophrenia with molecular features and treatment response.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

CAMS Innovation Fund for Medical Sciences

Sichuan Science and Technology Program

1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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