Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation

NeuroImage

Volumn 124, Issue , 2016, Pages 300-309

  Yang, Yong ^a   Fan, Lingzhong ^a   Chu, Congying ^a   Zhuo, Junjie ^b   Wang, Jiaojian ^b   Fox, Peter T ^d   Eickhoff, Simon B ^e,f   Jiang, Tianzi ^a,b,c  

^a INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^e FORSCHUNGSZENTRUM JÜLICH   (Germany)

^f HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

Activation modeling; Behavior domain; Meta analysis; Neuroimaging; Parcellation

Indexed keywords

ACCURACY; ACTIVATION LIKELIHOOD ESTIMATION ALGORITHM; ALGORITHM; AMYGDALOID NUCLEUS; ARTICLE; BRAIN; BRAIN MAPPING; CENTROMEDIAL NUCLEI GROUP; CONTROLLED STUDY; CYTOARCHITECTURE; FACTUAL DATABASE; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGING AND DISPLAY; K MEANS CLUSTERING ALGORITHM; LATEROBASAL NUCLEI GROUP; LEFT BRODMANN AREA 44; META ANALYTIC ACTIVATION MODELING BASED PARCELLATION; MODELED ACTIVATION VALUE; NEUROANATOMY; NEUROIMAGING; PARAMETERS; PRIORITY JOURNAL; PROBABILITY; RELIABILITY; SUPERFICIAL NUCLEI GROUP; UNCERTAINTY; VOXEL BASED MORPHOMETRY; VOXEL WISE DENSITY MAP; AMYGDALA; ANATOMY AND HISTOLOGY; CLUSTER ANALYSIS; META ANALYSIS (TOPIC); NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY;

AMYGDALA; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; DATABASES, FACTUAL; HUMANS; MAGNETIC RESONANCE IMAGING; META-ANALYSIS AS TOPIC; REPRODUCIBILITY OF RESULTS;

EID: 84941991914     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.08.027     Document Type: Article

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