期刊
SCHIZOPHRENIA RESEARCH
卷 209, 期 -, 页码 22-31出版社
ELSEVIER
DOI: 10.1016/j.schres.2019.05.015
关键词
Neuroimaging; Schizophrenia; Ultra-high risk for psychosis; Voxcl-based morphomerry; Cortical thickness
类别
资金
- National Key Research and Development Program of China [2016YFC1307100, 2016YFC1306900]
- National Natural Science Foundation of China [81571310, 81771447, 81630033]
Objective: This study aims to determine whether structural alterations can be used as neuroimaging markers to detect individuals with ultra-high risk (UHR) for psychosis for the diagnosis of schizophrenia and improvement of treatment outcomes. Methods: Embase and Pubmed databases were searched for related studies in July 2018. The search was performed without restriction on time and regions or languages. A total of 188 articles on voxel-based morphometry (VBM) and 96 articles on cortical thickness were obtained, and another 6 articles were included after the reference lists were checked. Our researchers assessed and extracted the data in accordance with the PRISMA guideline. The data were processed with a seed-based mapping method. Results: Fourteen VBM and nine cortical thickness studies were finally included in our study. In individuals with UHR, the gray matter volumes in the bilateral median cingulate (Z = 1.034), the right fusiform gyms (Z = 1.051), the left superior temporal gyrus (Z = 1.048), and the right thalamus (Z = 1.039) increased relative to those of healthy controls. By contrast, the gray matter volumes in the right gyrus rectus (Z = -2.109), the light superior frontal gyrus (Z = 2.321), and the left superior frontal gyrus (Z = -2228) decreased. The robustness of these findings was verified through Jackknife sensitivity analysis, and heterogeneity across studies was low. Typically, cortical thickness alterations were not detected in individuals with UHR. Conclusions: Structural abnormalities of the thalamocortical circuit may underpin the neurophysiology of psychosis and mark the vulnerability of transition to psychosis in UHR subjects. (C) 2019 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据