Measuring the consistency of global functional connectivity using kernel regression methods

Proceedings - International Workshop on Pattern Recognition in NeuroImaging, PRNI 2011

Volumn , Issue , 2011, Pages 41-44

  Chu, Carlton ^a   Handwerker, Daniel A ^a   Bandettini, Peter A ^a   Ashburner, John ^b  

^a NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

FMRI decoding; Functional connectivity; Kernel regression; Prediction validity; Resting state; Suppor vector regression

Indexed keywords

FMRI DECODING; FUNCTIONAL CONNECTIVITY; KERNEL REGRESSION; RESTING STATE; SUPPOR VECTOR REGRESSION;

PATTERN RECOGNITION; PRASEODYMIUM ALLOYS; VISUALIZATION;

REGRESSION ANALYSIS;

EID: 80051970198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2011.11     Document Type: Conference Paper

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