Analysis of the Effects of Mechanically Induced tremor on EEG-EMG Coherence Using Wavelet and Partial Directed Coherence
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|Title:||Analysis of the Effects of Mechanically Induced tremor on EEG-EMG Coherence Using Wavelet and Partial Directed Coherence||Authors:||McManus, Lara M.
Di Russo, Francesco
De Vito, Giuseppe
Lowery, Madeleine M.
|Permanent link:||http://hdl.handle.net/10197/8283||Date:||8-Nov-2013||Abstract:||Corticomuscular coherence between human cortical rhythms and surface electromyography (sEMG) is commonly observed within the beta (13-35 Hz) and gamma (35-60 Hz) band frequency ranges, but is typically absent within the alpha band (8-12 Hz) in healthy subjects. A recent study has shown that significant alpha band corticomuscular coherence can be mechanically induced in healthy subjects using a spring of appropriate stiffness. Traditional coherence analysis is limited to examining whether a correlation exists between the electroencephalograph (EEG) and EMG recordings, by portraying instances of mutual synchrony. In this study the temporal evolution and directionality of the interaction between the EEG and EMG signals during mechanically induced alpha band coherence were investigated using two recent extensions of classical coherence, wavelet analysis and partial directed coherence. The results indicate a significant increase in directional information flow within the alpha and piper band frequency ranges in the EMG to EEG direction, and appear to provide evidence of the contribution of afferent feedback, and to a lesser extent descending cortical drives, to alpha band corticomuscular coherence.||Funding Details:||Irish Research Council||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2013 IEEE||Keywords:||Motor cortex;Synchronization;Task||DOI:||10.1109/NER.2013.6695996||Language:||en||Status of Item:||Peer reviewed||Conference Details:||6th International IEEE EMBS Conference on Neural Engineering (NER), San Diego, California, USA, 6-8 November 2013|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
Public Health, Physiotherapy and Sports Science Research Collection
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