Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis

NeuroImage

Volumn 125, Issue , 2016, Pages 1032-1045

  Lee, Young Beom ^a   Lee, Jeonghyeon ^a,e   Tak, Sungho ^c   Lee, Kangjoo ^d   Na, Duk L ^b   Seo, Sang Won ^b   Jeong, Yong ^a   Ye, Jong Chul ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Sungkyunkwan University School of Medicine   (South Korea)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d MCGILL UNIVERSITY   (Canada)

^e Korea Hydro & Nuclear Power Co   (South Korea)

Author keywords

Alzheimer's disease; Functional connectivity; K SVD; Resting state fMRI analysis; Sparse dictionary learning; Sparse graph

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN SLICE; DEFAULT MODE NETWORK; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MENTAL TASK; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NORMAL DISTRIBUTION; PRIORITY JOURNAL; RESTING STATE NETWORK; SPARSE DICTIONARY LEARNING; SPARSE STATISTICAL PARAMETER MAPPING; STATISTICAL ANALYSIS; VALIDATION PROCESS; ALGORITHM; BRAIN; BRAIN MAPPING; IMAGE PROCESSING; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REST; THEORETICAL MODEL;

AGED; ALGORITHMS; ALZHEIMER DISEASE; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; MODELS, THEORETICAL; NEURAL PATHWAYS; REST;

EID: 84947997287     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.10.081     Document Type: Article

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