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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
2015-08-15
发表期刊NEUROIMAGE
卷号117期号:69页码:397-407
文章类型Article
摘要Recent 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.
关键词Cope Coordinate-based Meta-analysis Functional Co-activation Working Memory
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]SPATIAL WORKING-MEMORY ; DENSITY-FUNCTION ; HUMAN BRAIN ; METAANALYSIS ; ACTIVATION ; CONNECTIVITY ; SYSTEM ; NEUROANATOMY ; SELECTION ; NETWORKS
收录类别SCI
语种英语
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000358045100037
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/8874
专题脑网络组研究中心
通讯作者Tianzi Jiang
作者单位1.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
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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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