A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions

NeuroImage

Volumn 55, Issue 4, 2011, Pages 1504-1518

  Bigot, Jérémie ^a,b   Longcamp, Marieke ^a,d   Dal Maso, Fabien ^a   Amarantini, David ^a,c  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b UNIVERSITY OF CHILE   (Chile)

^c UNIVERSITÉ DE MONTRÉAL   (Canada)

^d AIX MARSEILLE UNIVERSITY   (France)

Author keywords

Coherence; Cortico muscular interactions; Cross spectrum; Statistical testing; Time frequency dependence; Wavelet

Indexed keywords

ARTICLE; BIOMEDICINE; BRAIN MAPPING; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; KERNEL METHOD; MATHEMATICAL ANALYSIS; NERVOUS SYSTEM PARAMETERS; NEUROPHYSIOLOGY; PRIORITY JOURNAL; PROBABILITY; SIGNAL NOISE RATIO; SIMULATION; STOCHASTIC MODEL; WAVELET CROSS SPECTRUM;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; EVOKED POTENTIALS, MOTOR; HUMANS; MALE; MOTOR CORTEX; MUSCLE CONTRACTION; MUSCLE, SKELETAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICS AS TOPIC; STOCHASTIC PROCESSES; WAVELET ANALYSIS; YOUNG ADULT;

EID: 79952705860     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.01.033     Document Type: Article

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