Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI

NeuroImage

Volumn 105, Issue , 2015, Pages 286-299

  Eavani, Harini ^a   Satterthwaite, Theodore D ^a   Filipovych, Roman ^a   Gur, Raquel E ^a   Gur, Ruben C ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Functional connectivity; Resting state fMRI; Sparsity

Indexed keywords

ADULT; ARTICLE; BRAIN FUNCTION; CELL SUBPOPULATION; CONCEPTUAL FRAMEWORK; CONNECTOME; CONTROLLED STUDY; DATA ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; MATHEMATICAL MODEL; NERVE CELL NETWORK; NORMAL HUMAN; PROCESS OPTIMIZATION; REPRODUCIBILITY; RESTING STATE NETWORK; SPARSE CONNECTIVITY PATTERN; SPATIAL ANALYSIS; SYNAPTIC TRANSMISSION; TIME SERIES ANALYSIS; YOUNG ADULT; BRAIN MAPPING; COMPUTER SIMULATION; FEMALE; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES;

ADULT; BRAIN MAPPING; COMPUTER SIMULATION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; YOUNG ADULT;

EID: 84918802470     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.09.058     Document Type: Article

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