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Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates
Chu, Congying1,2; Fan, Lingzhong1,2; Eickhoff, Claudia R.3,5; Liu, Yong1,2; Yang, Yong1,2; Eickhoff, Simon B.3,4; Jiang, Tianzi1,2,6,7; Tianzi Jiang
Source PublicationNEUROIMAGE
2015-08-15
Volume117Issue:69Pages:397-407
SubtypeArticle
AbstractRecent progress in functional neuroimaging has prompted studies of brain activation during various cognitive tasks. Coordinate-based meta-analysis has been utilized to discover the brain regions that are consistently activated across experiments. However, within-experiment co-activation relationships, which can reflect the underlying functional relationships between different brain regions, have not been widely studied. In particular, voxel-wise co-activation, which may be able to provide a detailed configuration of the co-activation network, still needs to be modeled. To estimate the voxel-wise co-activation pattern and deduce the co-activation network, a Co-activation Probability Estimation (CoPE) method was proposed to model within-experiment activations for the purpose of defining the co-activations. A permutation test was adopted as a significance test. Moreover, the co-activations were automatically separated into local and long-range ones, based on distance. The two types of co-activations describe distinct features: the first reflects convergent activations; the second represents co-activations between different brain regions. The validation of CoPE was based on five simulation tests and one real dataset derived from studies of working memory. Both the simulated and the real data demonstrated that CoPE was not only able to find local convergence but also significant long-range co-activation. In particular, CoPE was able to identify a 'core' co-activation network in the working memory dataset. As a data-driven method, the CoPE method can be used to mine underlying co-activation relationships across experiments in future studies. (C) 2015 Elsevier Inc. All rights reserved.
KeywordCope Coordinate-based Meta-analysis Functional Co-activation Working Memory
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordSPATIAL WORKING-MEMORY ; DENSITY-FUNCTION ; HUMAN BRAIN ; METAANALYSIS ; ACTIVATION ; CONNECTIVITY ; SYSTEM ; NEUROANATOMY ; SELECTION ; NETWORKS
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000358045100037
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8874
Collection脑网络组研究中心
Corresponding AuthorTianzi Jiang
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.Res Ctr Juelich, Inst Neurosci & Med INM 1, D-52425 Julich, Germany
4.Univ Dusseldorf, Inst Clin Neurosci & Med Psychol, D-40225 Dusseldorf, Germany
5.Rhein Westfal TH Aachen, Dept Psychiat Psychotherapy & Psychosomat, D-52074 Aachen, Germany
6.Univ Queensland, Queensland Brain Inst, St Lucia, Qld 4072, Australia
7.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci, Beijing 100190, Peoples R China
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
Chu, Congying,Fan, Lingzhong,Eickhoff, Claudia R.,et al. Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates[J]. NEUROIMAGE,2015,117(69):397-407.
APA Chu, Congying.,Fan, Lingzhong.,Eickhoff, Claudia R..,Liu, Yong.,Yang, Yong.,...&Tianzi Jiang.(2015).Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates.NEUROIMAGE,117(69),397-407.
MLA Chu, Congying,et al."Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates".NEUROIMAGE 117.69(2015):397-407.
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