Using variance information in magnetoencephalography measures of functional connectivity

NeuroImage

Volumn 67, Issue , 2013, Pages 203-212

  Hall, Emma L ^a   Woolrich, Mark W ^b   Thomaz, Carlos E ^c   Morris, Peter G ^a   Brookes, Matthew J ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c CENTRO UNIVERSITÁRIO DA FEI   (Brazil)

Author keywords

Beamformer; Functional connectivity; Hilbert envelope; ICA; MEG; Networks; Seed based correlation

Indexed keywords

ANISOTROPY; ARTICLE; BRAIN FUNCTION; CONTROLLED STUDY; ELECTROPHYSIOLOGY; HUMAN; HUMAN EXPERIMENT; HUMAN TISSUE; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC FIELD; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL COMPUTING; MEDICAL INFORMATION; MOTOR CORTEX; NERVE CELL NETWORK; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; TIME SERIES ANALYSIS; WORKING MEMORY;

ALGORITHMS; ANALYSIS OF VARIANCE; BRAIN; BRAIN MAPPING; CONNECTOME; HUMANS; MAGNETOENCEPHALOGRAPHY; MEMORY; NERVE NET; PRINCIPAL COMPONENT ANALYSIS;

EID: 84870982206     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.11.011     Document Type: Article

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