Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia.
10.7507/1001-5515.202401053
- Author:
Xin CHANG
1
;
Zhihuan YANG
1
;
Yingjie TANG
1
;
Xiaoying SUN
1
;
Cheng LUO
1
;
Dezhong YAO
1
Author Information
1. The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.
- Publication Type:Journal Article
- Keywords:
Developmental trajectory;
Gray matter;
Schizophrenia;
Structural covariance network
- MeSH:
Humans;
Schizophrenia/pathology*;
Gray Matter/pathology*;
Magnetic Resonance Imaging;
Disease Progression;
Male;
Female;
Brain/pathology*;
Cerebral Cortex/pathology*;
Adult
- From:
Journal of Biomedical Engineering
2025;42(2):293-299
- CountryChina
- Language:Chinese
-
Abstract:
In different stages of schizophrenia (SZ), alterations in gray matter volume (GMV) of patients are normally regulated by various pathological mechanisms. Instead of analyzing stage-specific changes, this study employed a multivariate structural covariance model and sliding-window approach to investigate the illness duration-related developmental trajectory of GMV in SZ. The trajectory is defined as a sequence of brain regions activated by illness duration, represented as a sparsely directed matrix. By applying this approach to structural magnetic resonance imaging data from 145 patients with SZ, we observed a continuous developmental trajectory of GMV from cortical to subcortical regions, with an average change occurring every 0.208 years, covering a time window of 20.176 years. The starting points were widely distributed across all networks, except for the ventral attention network. These findings provide insights into the neuropathological mechanism of SZ with a neuroprogressive model and facilitate the development of process for aided diagnosis and intervention with the starting points.
