Institutional Repository of Key Laboratory of Mental Health, CAS
Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia | |
Kong, Li1,2; Herold, Christina J.3; Cheung, Eric F. C.4; Chan, Raymond C. K.2,5; Schroeder, Johannes3 | |
第一作者 | Kong, Li |
通讯作者邮箱 | rckchan@psych.ac.cn |
心理所单位排序 | 2 |
摘要 | Neurological soft signs (NSS) are often found in patients with schizophrenia. A wealth of neuroimaging studies have reported that NSS are related to disturbed cortical-subcortical-cerebellar circuitry in schizophrenia. However, the association between NSS and brain network abnormalities in patients with schizophrenia remains unclear. In this study, the graph theoretical approach was used to analyze brain network characteristics based on structural magnetic resonance imaging (MRI) data. NSS were assessed using the Heidelberg scale. We found that there was no significant difference in global network properties between individuals with high and low levels of NSS. Regional network analysis showed that NSS were associated with betweenness centrality involving the inferior orbital frontal cortex, the middle temporal cortex, the hippocampus, the supramarginal cortex, the amygdala, and the cerebellum. Global network analysis also demonstrated that NSS were associated with the distribution of network hubs involving the superior medial frontal cortex, the superior and middle temporal cortices, the postcentral cortex, the amygdala, and the cerebellum. Our findings suggest that NSS are associated with alterations in topological attributes of brain networks corresponding to the cortical-subcortical-cerebellum circuit in patients with schizophrenia, which may provide a new perspective for elucidating the neural basis of NSS in schizophrenia. |
关键词 | neurological soft signs gray matter structural brain network schizophrenia graph theoretical approach network characteristics |
2020-05-01 | |
语种 | 英语 |
DOI | 10.1093/schbul/sbz118 |
发表期刊 | SCHIZOPHRENIA BULLETIN |
ISSN | 0586-7614 |
卷号 | 46期号:3页码:562-571 |
期刊论文类型 | article |
收录类别 | SCI |
资助项目 | National Key Research and Development Programme[2016YFC0906402] ; Beijing Training Project for the Leading Talents in Science and Technology[Z151100000315020] ; CAS Key Laboratory of Mental Health, Institute of Psychology ; National Natural Science Foundation of China[81601170] |
出版者 | OXFORD UNIV PRESS |
WOS关键词 | GRAPH-THEORETICAL ANALYSIS ; SMALL-WORLD ; SENSORIMOTOR CORTEX ; CORTICAL THICKNESS ; ORGANIZATION ; DYSFUNCTION ; MORPHOLOGY ; PSYCHOSIS ; CONNECTIVITY ; GYRIFICATION |
WOS研究方向 | Psychiatry |
WOS类目 | Psychiatry |
WOS记录号 | WOS:000525862800014 |
Q分类 | Q1 |
资助机构 | National Key Research and Development Programme ; Beijing Training Project for the Leading Talents in Science and Technology ; CAS Key Laboratory of Mental Health, Institute of Psychology ; National Natural Science Foundation of China |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/31568 |
专题 | 中国科学院心理健康重点实验室 |
通讯作者 | Chan, Raymond C. K. |
作者单位 | 1.Shanghai Normal Univ, Coll Educ, Shanghai, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Neuropsychol & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Beijing, Peoples R China 3.Heidelberg Univ, Dept Psychiat, Sect Geriatr Psychiat, Heidelberg, Germany 4.Castle Peak Hosp, Dept Adult Psychiat, Hong Kong, Peoples R China 5.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China |
第一作者单位 | 认知与发展心理学研究室 |
通讯作者单位 | 认知与发展心理学研究室 |
推荐引用方式 GB/T 7714 | Kong, Li,Herold, Christina J.,Cheung, Eric F. C.,et al. Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia[J]. SCHIZOPHRENIA BULLETIN,2020,46(3):562-571. |
APA | Kong, Li,Herold, Christina J.,Cheung, Eric F. C.,Chan, Raymond C. K.,&Schroeder, Johannes.(2020).Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia.SCHIZOPHRENIA BULLETIN,46(3),562-571. |
MLA | Kong, Li,et al."Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia".SCHIZOPHRENIA BULLETIN 46.3(2020):562-571. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Neurological Soft Si(6773KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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