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Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation
Yang, Yong1,2; Fan, Lingzhong1; Chu, Congying1,2; Zhuo, Junjie4; Wang, Jiaojian4; Fox, Peter T.6; Eickhoff, Simon B.7,8; Jiang, Tianzi1,2,3,4,5
Source PublicationNEUROIMAGE
2016
Volume124Issue:Part APages:300-309
SubtypeArticle
AbstractParcellation of the human brain into fine-grained units by grouping voxels into distinct clusters has been an effective approach for delineating specific brain regions and their subregions. Published neuroimaging studies employing coordinate-based meta-analyses have shown that the activation foci and their corresponding behavioral categories may contain useful information about the anatomical-functional organization of brain regions. Inspired by these developments, we proposed a new parcellation scheme called meta-analytic activation modeling-based parcellation (MAMP) that uses meta-analytically obtained information. The raw meta data, including the experiments and the reported activation coordinates related to a brain region of interest, were acquired from the Brainmap database. Using this data, we first obtained the "modeled activation" pattern by modeling the voxel-wise activation probability given spatial uncertainty for each experiment that featured at least one focus within the region of interest. Then, we processed these "modeled activation" patterns across the experiments with a K-means clustering algorithm to group the voxels into different subregions. In order to verify the reliability of the method, we employed our method to parcellate the amygdala and the left Brodmann area 44 (BA44). The parcellation results were quite consistent with previous cytoarchitectonic and in vivo neuroimaging findings. Therefore, the MAMP proposed in the current study could be a useful complement to other methods for uncovering the functional organization of the human brain. (C) 2015 Elsevier Inc. All rights reserved.
KeywordMeta-analysis Activation Modeling Parcellation Neuroimaging Behavior Domain
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neuroimage.2015.08.027
WOS KeywordTRACTOGRAPHY-BASED PARCELLATION ; CONNECTIVITY-BASED PARCELLATION ; HUMAN AMYGDALA ; BROCAS REGION ; INTERSUBJECT VARIABILITY ; LIKELIHOOD ESTIMATION ; CEREBRAL-CORTEX ; ARCHITECTURE ; NETWORKS ; AREA
Indexed BySCI
Language英语
Funding OrganizationNational Key Basic Research and Development Program (973)(2011CB707801 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02030300) ; National Natural Science Foundation of China(91132301 ; Deutsche Forschungsgemeinschaft (DFG)(EI 816/4-1 ; National Institute of Mental Health(R01-MH074457) ; 2012CB720702) ; 91432302) ; EI 816/6-1)
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000366646700030
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10641
Collection脑网络组研究中心
Affiliation1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci, Beijing 100190, Peoples R China
4.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu 625014, Peoples R China
5.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
6.Univ Texas Hlth Sci Ctr San Antonio, Res Imaging Inst, San Antonio, TX USA
7.Res Ctr Juelich, INM 1, D-52425 Julich, Germany
8.Univ Dusseldorf, Inst Clin Neurosci & Med Psychol, D-40225 Dusseldorf, Germany
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yang, Yong,Fan, Lingzhong,Chu, Congying,et al. Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation[J]. NEUROIMAGE,2016,124(Part A):300-309.
APA Yang, Yong.,Fan, Lingzhong.,Chu, Congying.,Zhuo, Junjie.,Wang, Jiaojian.,...&Jiang, Tianzi.(2016).Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation.NEUROIMAGE,124(Part A),300-309.
MLA Yang, Yong,et al."Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation".NEUROIMAGE 124.Part A(2016):300-309.
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