A hierarchical model for probabilistic independent component analysis of multi-subject fMRI studies

Biometrics

Volumn 69, Issue 4, 2013, Pages 970-981

  Guo, Ying ^a   Tang, Li ^b  

^a EMORY UNIVERSITY   (United States)

^b ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

Author keywords

EM algorithm; Functional magnetic resonance imaging (fMRI); Group inferences; Hierarchical model; Independent component analysis; Maximum likelihood estimation; Multi subject imaging data

Indexed keywords

BRAIN MAPPING; HIERARCHICAL SYSTEMS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES;

BRAIN FUNCTIONAL NETWORKS; EM ALGORITHMS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GROUP INFERENCE; HIERARCHICAL MODEL; IMAGING DATA; INDEPENDENT COMPONENTS ANALYSIS; MAXIMUM-LIKELIHOOD ESTIMATION; MULTI-SUBJECT IMAGING DATA;

MAXIMUM LIKELIHOOD ESTIMATION;

ALGORITHM; BRAIN; COMPUTER SIMULATION; DATA SET; DESIGN; DISEASE PREVALENCE; MATRIX; NUMERICAL MODEL; OBSERVATIONAL METHOD; SPATIAL DISTRIBUTION;

ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EM ALGORITHM; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GROUP INFERENCES; HIERARCHICAL MODEL; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; MEDITATION; METHODOLOGY; MULTI-SUBJECT IMAGING DATA; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EM ALGORITHM; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GROUP INFERENCES; HIERARCHICAL MODEL; INDEPENDENT COMPONENT ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; MULTI-SUBJECT IMAGING DATA;

BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; MAGNETIC RESONANCE IMAGING; MEDITATION; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS;

EID: 84890310854     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12068     Document Type: Article

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