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. 心理研究所
  3. 中国科学院心理研究所
  4. 中国科学院行为科学重点实验室
Unveiling the core functional networks of cognition: An ontology-guided machine learning approach

文献类型：期刊论文

作者Wu, Guowei2,3; Cui, Zaixu1; Wang, Xiuyi2,3; Du, Yi1,2,3
刊名NEUROIMAGE
出版日期2024-09-01
卷号298页码:15
关键词Cognitive ontology Functional networks Machine learning
ISSN号1053-8119
DOI10.1016/j.neuroimage.2024.120804
通讯作者Wang, Xiuyi(wangxiuyi@psych.ac.cn) ; Du, Yi(duyi@psych.ac.cn)
英文摘要Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivity analysis to identify brain networks essential for cognition. We identified a core assembly of functional connectomes, primarily located within the association cortex, which showed superior predictive performance compared to two conventional methods widely employed in previous research across various cognitive domains. Our approach achieved a mean prediction accuracy of 0.13 across 16 cognitive tasks, including working memory, reading comprehension, and sustained attention, outperforming the traditional methods' accuracy of 0.08. In contrast, our method showed limited predictive power for sensory, motor, and emotional functions, with a mean prediction accuracy of 0.03 across 9 relevant tasks, slightly lower than the traditional methods' accuracy of 0.04. These cognitive connectomes were further characterized by distinctive patterns of resting-state functional connectivity, structural connectivity via white matter tracts, and gene expression, highlighting their neurogenetic underpinnings. Our findings reveal a domain-general functional network fingerprint that pivotal to cognition, offering a novel computational approach to explore the neural foundations of cognitive abilities.
收录类别SCI
WOS关键词ASSOCIATION NETWORKS ; CONFOUND REGRESSION ; MOTION ARTIFACT ; CONNECTIVITY ; BRAIN ; PROJECT
资助项目STI 2030-Major Projects[2021ZD0201500] ; National Natural Science Foundation of China[31822024] ; National Natural Science Foundation of China[32300881] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB32010300] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E2CX3625CX] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E1CX4725CX] ; The 16 NIH Institutes and Centers[1U54MH091657] ; McDonnell Center for Systems Neuroscience at Washington University
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:001301839500001
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构STI 2030-Major Projects ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; The 16 NIH Institutes and Centers ; McDonnell Center for Systems Neuroscience at Washington University
源URL[http://ir.psych.ac.cn/handle/311026/48870]  
专题心理研究所_中国科学院行为科学重点实验室
通讯作者Wang, Xiuyi; Du, Yi
作者单位1.Chinese Inst Brain Res, Beijing 102206, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, 16 Lincui Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Guowei,Cui, Zaixu,Wang, Xiuyi,et al. Unveiling the core functional networks of cognition: An ontology-guided machine learning approach[J]. NEUROIMAGE,2024,298:15.
APA Wu, Guowei,Cui, Zaixu,Wang, Xiuyi,&Du, Yi.(2024).Unveiling the core functional networks of cognition: An ontology-guided machine learning approach.NEUROIMAGE,298,15.
MLA Wu, Guowei,et al."Unveiling the core functional networks of cognition: An ontology-guided machine learning approach".NEUROIMAGE 298(2024):15.

入库方式： OAI收割

来源：心理研究所

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。