Linear and nonlinear information flow based on time-delayed mutual information method and its application to corticomuscular interaction

Clinical Neurophysiology

Volumn 121, Issue 3, 2010, Pages 392-401

  Jin, Seung Hyun ^a   Lin, Peter ^a   Hallett, Mark ^a  

^a NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

Author keywords

Corticomuscular interaction; Linear and nonlinear information flow; Model free connectivity measure; Surrogate tests; Time delayed mutual information

Indexed keywords

ARTICLE; BRAIN CORTEX; CORTICOMUSCULAR INTERACTION; EXPERIMENTAL DESIGN; FEMALE; HUMAN; HUMAN EXPERIMENT; INFORMATION PROCESSING; LINEAR SYSTEM; MALE; NEUROMUSCULAR FUNCTION; NONLINEAR SYSTEM; NORMAL HUMAN; PRIORITY JOURNAL; SIMULATION; TASK PERFORMANCE; TIME DELAYED MUTUAL INFORMATION; TIME SERIES ANALYSIS; TOPOGRAPHY;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EFFERENT PATHWAYS; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, MOTOR; EXECUTIVE FUNCTION; FUNCTIONAL LATERALITY; HUMANS; MATHEMATICAL CONCEPTS; MOTOR CORTEX; MOVEMENT; MUSCLE, SKELETAL; NONLINEAR DYNAMICS; PSYCHOMOTOR PERFORMANCE; REACTION TIME; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 75449084140     PISSN: 13882457     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clinph.2009.09.033     Document Type: Article

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