中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 脑图谱与类脑智能实验室
  5. 脑网络组研究中心
Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms

文献类型：期刊论文

作者Ding, Chaoyue1,2; Li, Ang3; Xie, Sangma4; Tian, Xiaohan5; Li, Kunchi2; Fan, Lingzhong2; Yan, Hao6; Chen, Jun7; Chen, Yunchun8; Wang, Huaning8
刊名ADVANCED SCIENCE
出版日期2024-06-20
页码16
关键词hierarchical Bayesian model information interactions latent factors neurodynamics schizophrenia synergy dysfunction
DOI10.1002/advs.202400929
通讯作者Wang, Meng(wangmeng2023@bnu.edu.cn) ; Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn) ; Liu, Bing(bing.liu@bnu.edu.cn)
英文摘要To elucidate the brain-wide information interactions that vary and contribute to individual differences in schizophrenia (SCZ), an information-resolved method is employed to construct individual synergistic and redundant interaction matrices based on regional pairwise BOLD time-series from 538 SCZ and 540 normal controls (NC). This analysis reveals a stable pattern of regionally-specific synergy dysfunction in SCZ. Furthermore, a hierarchical Bayesian model is applied to deconstruct the patterns of whole-brain synergy dysfunction into three latent factors that explain symptom heterogeneity in SCZ. Factor 1 exhibits a significant positive correlation with Positive and Negative Syndrome Scale (PANSS) positive scores, while factor 3 demonstrates significant negative correlations with PANSS negative and general scores. By integrating the neuroimaging data with normative gene expression information, this study identifies that each of these three factors corresponded to a subset of the SCZ risk gene set. Finally, by combining data from NeuroSynth and open molecular imaging sources, along with a spatially heterogeneous mean-field model, this study delineates three SCZ synergy factors corresponding to distinct symptom profiles and implicating unique cognitive, neurodynamic, and neurobiological mechanisms. This study reveals significant and stable synergy dysfunction in schizophrenia (SCZ) from the perspective of dynamic information processing, and delineates three synergy factors that underlie individual variations in SCZ. Each factor displays unique patterns of atypical synergy dysfunction, aligns with specific symptom profiles, and points to distinct cognitive, neurodynamic, and neurobiological mechanisms. image
WOS关键词HUMAN CEREBRAL-CORTEX ; DISORDER ; HETEROGENEITY ; ORGANIZATION ; INTEGRATION ; ENRICHMENT ; SYMPTOMS ; NETWORKS ; REVEALS ; ATLAS
资助项目Natural Science Foundation of China ; Beijing Nova Program[20230484425] ; Startup Funds of Beijing Normal University ; [82372049]
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Materials Science
语种英语
WOS记录号WOS:001250552800001
出版者WILEY
资助机构Natural Science Foundation of China ; Beijing Nova Program ; Startup Funds of Beijing Normal University
源URL[http://ir.ia.ac.cn/handle/173211/59033]  
专题自动化研究所_脑网络组研究中心
通讯作者Wang, Meng; Jiang, Tianzi; Liu, Bing
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
4.Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China
5.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
6.Peking Univ Sixth Hosp, Inst Mental Hlth, Beijing 100191, Peoples R China
7.Wuhan Univ, Dept Radiol, Renmin Hosp, Wuhan 430060, Peoples R China
8.Fourth Mil Med Univ, Xijing Hosp, Dept Psychiat, Xian 710032, Peoples R China
9.Zhumadian Psychiat Hosp, Zhumadian 463000, Peoples R China
10.Xinxiang Med Univ, Henan Mental Hosp, Affiliated Hosp 2, Dept Psychiat, Xinxiang 453002, Peoples R China
推荐引用方式
GB/T 7714		 Ding, Chaoyue,Li, Ang,Xie, Sangma,et al. Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms[J]. ADVANCED SCIENCE,2024:16.
APA Ding, Chaoyue.,Li, Ang.,Xie, Sangma.,Tian, Xiaohan.,Li, Kunchi.,...&Liu, Bing.(2024).Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms.ADVANCED SCIENCE,16.
MLA Ding, Chaoyue,et al."Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms".ADVANCED SCIENCE (2024):16.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

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。