Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses

Frontiers in Neuroscience

Volumn , Issue 7 AUG, 2013, Pages

  Xu, Jiansong ^a   Potenza, Marc N ^a,b   Calhoun, Vince D ^a,c,d  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c MIND RESEARCH NETWORK   (United States)

^d MSC01 1070   (United States)

Author keywords

Functional connectivity; Functional magnetic resonance imaging (fMRI); Functional network of the brain; General linear model (GLM); Independent component analysis (ICA)

Indexed keywords

ANTERIOR CINGULATE; ARTICLE; BRAIN FUNCTION; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL LINEAR MODEL; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INSULA; LATENT PERIOD; NEUROMODULATION; NONHUMAN; PARIETAL CORTEX; POSTERIOR CINGULATE; PREDICTION; PREFRONTAL CORTEX; SIGNAL PROCESSING; SOMATOSENSORY CORTEX; SPATIAL INDEPENDENT COMPONENT ANALYSIS; STATISTICAL MODEL; TASK PERFORMANCE; TASK POSITIVE NETWORK; TEMPORAL CORTEX; WORKING MEMORY;

EID: 84888412237     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00154     Document Type: Article

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