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Single-trial detection of somatosensory evoked potentials by probabilistic independent component analysis and wavelet filtering.
MedLine Citation:
PMID:  21296019     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: To develop an effective approach for enhancing the signal-to-noise ratio (SNR) and identifying single-trial short-latency somatosensory evoked potentials (SEPs) from multi-channel electroencephalography (EEG). METHODS: 128-channel SEPs elicited by electrical stimuli of the left posterior tibial nerve were recorded from 11 healthy subjects. Probabilistic independent component analysis (PICA) was used as a spatial filter to isolate SEP-related independent components (ICs), and wavelet filtering was used as a time-frequency filter to further enhance the SNR of single-trial SEPs. RESULTS: SEP-related ICs, identified using PICA, showed typical patterns of cortical SEP complex (P39-N50-P60) and scalp topography (centrally distributed with the spatial peak located near vertex). In addition, wavelet filtering significantly enhanced the SNR of single-trial SEPs (p=0.001). CONCLUSIONS: Combining PICA and wavelet filtering offers a space-time-frequency filter that can be used to enhance the SNR of single-trial SEPs greatly, thus providing a reliable estimation of single-trial SEPs. SIGNIFICANCE: This method can be used to detect single-trial SEPs and other types of evoked potentials (EPs) in various sensory modalities, thus facilitating the exploration of single-trial dynamics between EPs, behavioural variables (e.g., intensity of perception), as well as abnormalities in intraoperative neurophysiological monitoring.
Authors:
L Hu; Z G Zhang; Y S Hung; K D K Luk; G D Iannetti; Y Hu
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-3
Journal Detail:
Title:  Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology     Volume:  -     ISSN:  1872-8952     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100883319     Medline TA:  Clin Neurophysiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 International Federation of Clinical Neurophysiology. All rights reserved.
Affiliation:
Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong, China; Department of Neuroscience, Physiology and Pharmacology, University College London, UK.
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