Graph independent component analysis reveals repertoires of intrinsic network components in the human brain

PLoS ONE

Volumn 9, Issue 1, 2014, Pages

  Park, Bumhee ^a   Kim, Dae Shik ^b   Park, Hae Jeong ^a  

^a Yonsei University College of Medicine   (South Korea)

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

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ANATOMICAL VARIATION; ARTICLE; BRAIN REGION; CANONICAL ANALYSIS; CHILD; CONTROLLED STUDY; EXERCISE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAPH INDEPENDENT COMPONENT ANALYSIS; HUMAN; HUMAN CELL; HUMAN EXPERIMENT; HUMAN TISSUE; INDEPENDENT COMPONENT ANALYSIS; MALE; MENTAL TASK; MOTOR PERFORMANCE; NERVE CELL NETWORK; NORMAL HUMAN; RESTING STATE NETWORK; SEX DIFFERENCE; SIMULATION; TASK PERFORMANCE; VOXEL BASED MORPHOMETRY; WORKING MEMORY;

ALGORITHMS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MALE; NEURAL PATHWAYS; PRINCIPAL COMPONENT ANALYSIS; SEX FACTORS;

EID: 84896927475     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0082873     Document Type: Article

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