ShanghaiTech University Knowledge Management System
Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia | |
2023-06-21 | |
发表期刊 | TRANSLATIONAL PSYCHIATRY (IF:5.8[JCR-2023],6.3[5-Year]) |
ISSN | 2158-3188 |
卷号 | 13期号:1 |
发表状态 | 已发表 |
DOI | 10.1038/s41398-023-02520-4 |
摘要 | Schizophrenia is characterized by dysconnectivity syndrome. Evidence of widespread impairment of structural and functional integration has been demonstrated in schizophrenia. Although white matter (WM) microstructural abnormalities have been commonly reported in schizophrenia, the dysfunction of WM as well as the relationship between structure and function in WM remains uncertain. In this study, we proposed a novel structure-function coupling measurement to reflect neuronal information transfer, which combined spatial-temporal correlations of functional signals with diffusion tensor orientations in the WM circuit from functional and diffusion magnetic resonance images (MRI). By analyzing MRI data from 75 individuals with schizophrenia (SZ) and 89 healthy volunteers (HV), the associations between structure and function in WM regions in schizophrenia were examined. Randomized validation of the measurement was performed in the HV group to confirm the capacity of the neural signal transferring along the WM tracts, referring to quantifying the association between structure and function. Compared to HV, SZ showed a widespread decrease in the structure-function coupling within WM regions, involving the corticospinal tract and the superior longitudinal fasciculus. Additionally, the structure-function coupling in the WM tracts was found to be significantly correlated with psychotic symptoms and illness duration in schizophrenia, suggesting that abnormal signal transfer of neuronal fiber pathways could be a potential mechanism of the neuropathology of schizophrenia. This work supports the dysconnectivity hypothesis of schizophrenia from the aspect of circuit function, and highlights the critical role of WM networks in the pathophysiology of schizophrenia. |
URL | 查看原文 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Shanghai Municipal Science and Technology Major Project[2018SHZDZX01] ; National Natural Science Foundation of China["82201720","NSTC 112-2321-B-A49-008-"] ; National Science and Technology Council, Taiwan[2022ZD0213400] ; null[82271627] |
WOS研究方向 | Psychiatry |
WOS类目 | Psychiatry |
WOS记录号 | WOS:001049943700001 |
出版者 | SPRINGERNATURE |
引用统计 | 正在获取...
|
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/325790 |
专题 | 生物医学工程学院 生物医学工程学院_PI研究组_张寒组 |
通讯作者 | Huang, Chu-Chung; Lo, Chun-Yi Zac |
作者单位 | 1.Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence, Shanghai, Peoples R China 2.East China Normal Univ, Inst Cognit Neurosci, Shanghai Key Lab Brain Funct Genom, Minist Educ,Sch Psychol & Cognit Sci,Affiliated Me, Shanghai, Peoples R China 3.Shanghai Changning Mental Hlth Ctr, Shanghai, Peoples R China 4.ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China 5.Taipei Vet Gen Hosp, Dept Psychiat, Taipei, Taiwan 6.Natl Yang Ming Chiao Tung Univ, Fac Med, Div Psychiat, Taipei, Taiwan 7.Natl Yang Ming Chiao Tung Univ, Inst Brain Sci, Taipei, Taiwan 8.Natl Yang Ming Chiao Tung Univ, Inst Neurosci, Taipei, Taiwan 9.Taipei City Hosp, Dept Educ & Res, Taipei, Taiwan 10.Chung Yuan Christian Univ, Dept Biomed Engn, Taoyuan, Taiwan |
推荐引用方式 GB/T 7714 | Zhao, Jiajia,Huang, Chu-Chung,Zhang, Yajuan,et al. Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia[J]. TRANSLATIONAL PSYCHIATRY,2023,13(1). |
APA | Zhao, Jiajia.,Huang, Chu-Chung.,Zhang, Yajuan.,Liu, Yuchen.,Tsai, Shih-Jen.,...&Lo, Chun-Yi Zac.(2023).Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia.TRANSLATIONAL PSYCHIATRY,13(1). |
MLA | Zhao, Jiajia,et al."Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia".TRANSLATIONAL PSYCHIATRY 13.1(2023). |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。