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Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Schaefer, Alexander1,2; Kong, Ru1,2; Gordon, Evan M.3; Laumann, Timothy O.4; Zuo, Xi-Nian5,6; Holmes, Avram J.7; Eickhoff, Simon B.8,9; Thomas, B. T.1,2,10,11
First AuthorAlexander Schaefer
2018-09-01
Source PublicationCEREBRAL CORTEX
Correspondent Emailthomas.yeo@nus.edu.sg
ISSN1047-3211
Volume28Issue:9Pages:3095-3114
Abstract

A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete neurobiological "atoms". Resting state functional magnetic resonance imaging (rs-fMRI) offers the possibility of in vivo human cortical parcellation. Almost all previous parcellations relied on 1 of 2 approaches. The local gradient approach detects abrupt transitions in functional connectivity patterns. These transitions potentially reflect cortical areal boundaries defined by histology or visuotopic fMRI. By contrast, the global similarity approach clusters similar functional connectivity patterns regardless of spatial proximity, resulting in parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and global similarity approaches. Using task-fMRI and rs-fMRI across diverse acquisition protocols, we found gwMRF parcellations to be more homogeneous than 4 previously published parcellations. Furthermore, gwMRF parcellations agreed with the boundaries of certain cortical areas defined using histology and visuotopic fMRI. Some parcels captured subareal (somatotopic and visuotopic) features that likely reflect distinct computational units within known cortical areas. These results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data. Multiresolution parcellations generated from 1489 participants are publicly available (https://github.com/ThomasYeoLab/CBIG/ tree/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal).

KeywordBrain Parcellation Brodmann Areas Cytoarchitecture Resting-state Functional Connectivity Retinotopy
DOI10.1093/cercor/bhx179
Language英语
Funding OrganizationSingapore Ministry of Education (MOE) ; National University of Singapore (NUS) Strategic Research ; NUS School of Medicine (SOM) Aspiration Fund ; Singapore National Medical Research Council ; NUS Young Investigator Award ; Singapore National Research Foundation (NRF) ; DAAD postdoctoral fellowship ; NIMH ; National Basic Research (973) Program ; Natural Science Foundation of China ; Center for Functional Neuroimaging Technologies ; Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital ; Human Connectome Project, WU-Minn Consortium ; McDonnell Center for Systems Neuroscience at Washington University
Funding ProjectSingapore Ministry of Education (MOE)[MOE2014-T2-2-016] ; National University of Singapore (NUS) Strategic Research[DPRT/944/09/14] ; NUS School of Medicine (SOM) Aspiration Fund[R185000271720] ; Singapore National Medical Research Council[CBRG/0088/2015] ; NUS Young Investigator Award ; Singapore National Research Foundation (NRF) ; DAAD postdoctoral fellowship ; NIMH[MH100872] ; NIMH[K01MH099232] ; National Basic Research (973) Program[2015CB351702] ; Natural Science Foundation of China[81 471 740] ; Natural Science Foundation of China[81220108014] ; Center for Functional Neuroimaging Technologies[P41EB015896] ; Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital[S10RR023401] ; Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital[S10RR023043] ; Human Connectome Project, WU-Minn Consortium[1U54MH091657] ; McDonnell Center for Systems Neuroscience at Washington University
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000443545600003
PublisherOXFORD UNIV PRESS INC
WOS KeywordResting-state Fmri ; Independent Component Analysis ; Human Connectome Project ; Primary Motor Cortex ; Visual Area Mt ; Human Brain ; Life-span ; Network Analysis ; Individual-differences ; Association Networks
Citation statistics
Cited Times:21[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26896
Collection中国科学院行为科学重点实验室
Corresponding AuthorThomas, B. T.
Affiliation1.Natl Univ Singapore, Singapore Inst Neurotechnol, ASTAR NUS Clin Imaging Res Ctr, Dept Elect & Comp Engn, Singapore, Singapore
2.Natl Univ Singapore, Memory Networks Program, Singapore, Singapore
3.VISN 17 Ctr Excellence Res Returning War Vet, Waco, TX USA
4.Washington Univ, Dept Neurol, St Louis, MO USA
5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Beijing, Peoples R China
7.Yale Univ, New Haven, CT USA
8.Heinrich Heine Univ Dusseldorf, Fac Med, Inst Syst Neurosci, Dusseldorf, Germany
9.Res Ctr Julich, Inst Neurosci & Med Brain & Behav INM 7, Julich, Germany
10.Massachusetts Gen Hosp, Martinos Ctr Biomed Imaging, Charlestown, MA USA
11.Duke NUS Med Sch, Ctr Cognit Neurosci, Singapore, Singapore
Recommended Citation
GB/T 7714
Schaefer, Alexander,Kong, Ru,Gordon, Evan M.,et al. Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI[J]. CEREBRAL CORTEX,2018,28(9):3095-3114.
APA Schaefer, Alexander.,Kong, Ru.,Gordon, Evan M..,Laumann, Timothy O..,Zuo, Xi-Nian.,...&Thomas, B. T..(2018).Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.CEREBRAL CORTEX,28(9),3095-3114.
MLA Schaefer, Alexander,et al."Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI".CEREBRAL CORTEX 28.9(2018):3095-3114.
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