Sparse representation of whole-brain fMRI signals for identification of functional networks

Medical Image Analysis

Volumn 20, Issue 1, 2015, Pages 112-134

  Lv, Jinglei ^a,b   Jiang, Xi ^b   Li, Xiang ^b   Zhu, Dajiang ^b   Chen, Hanbo ^b   Zhang, Tuo ^a,b   Zhang, Shu ^b   Hu, Xintao ^a   Han, Junwei ^a   Huang, Heng ^c   Zhang, Jing ^d   Guo, Lei ^a   Liu, Tianming ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF GEORGIA   (United States)

^c University of Texas at Arlington   (United States)

^d GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Activation; Connectivity; Intrinsic networks; Task based fMRI

Indexed keywords

ACTIVATION ANALYSIS; BIG DATA; CHEMICAL ACTIVATION; MATRIX ALGEBRA; SIGNAL DETECTION; SIGNAL SYSTEMS;

ACTIVATION DETECTION; CONNECTIVITY; FMRI DATA ANALYSIS; FUNCTIONAL NETWORK; ONLINE DICTIONARY LEARNING; OVER-COMPLETE DICTIONARIES; SPARSE REPRESENTATION; TASK-BASED;

FUNCTIONAL NEUROIMAGING;

ADULT; ARTICLE; BRAIN FUNCTION; CODING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; LEARNING ALGORITHM; METHODOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; TASK PERFORMANCE; VOXEL BASED MORPHOMETRY; ALGORITHM; BRAIN; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY;

ADULT; ALGORITHMS; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET;

EID: 84920873498     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2014.10.011     Document Type: Article

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