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Detecting time-dependent coherence between non-stationary electrophysiological signals - A combined statistical and time-frequency approach
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Zhan, Yang, Halliday, David, Jiang, Ping, Liu, Xuguang and Feng, Jianfeng. (2006) Detecting time-dependent coherence between non-stationary electrophysiological signals - A combined statistical and time-frequency approach. Journal of Neuroscience Methods, Vol.156 (No.1-2). pp. 322-332. ISSN 0165-0270
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Official URL: http://dx.doi.org/10.1016/j.jneumeth.2006.02.013
Abstract
Various time-frequency methods have been used to study time-varying properties of non-stationary neurophysiological signals. In the present study, a time-frequency coherence estimate using continuous wavelet transform (CWT) together with its confidence intervals are proposed to evaluate the correlation between two non-stationary processes. The approach is based on averaging over repeat trials. A systematic comparison between approaches using CWT and short-time Fourier transform (STFT) is carried out. Simulated data are generated to test the performance of these methods when estimating time-frequency based coherence. In contrast to some recent studies, we find that CWT based coherence estimates do not supersede STFT based estimates. We suggest that a combination of STFT and CWT would be most suitable for analysing non-stationary neural data. Tests are presented to investigate the time and frequency discrimination capabilities of the two approaches. The methods are applied to two experimental data sets: electroencephalogram (EEG) and surface electromyogram (EMG) during wrist movements in a healthy subject, and local field potential (LFP) and surface EMG recordings during resting tremor in a Parkinsonian patient. Supporting software is available at http://www.dcs.warwick.ac.ukffeng/software/COD and http://www.neurospec.org. (c) 2006 Elsevier B.V. All rights reserved.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QD Chemistry R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| Divisions: | Faculty of Science > Computer Science Faculty of Science > Centre for Scientific Computing |
| Journal or Publication Title: | Journal of Neuroscience Methods |
| Publisher: | Elsevier BV |
| ISSN: | 0165-0270 |
| Date: | 30 September 2006 |
| Volume: | Vol.156 |
| Number: | No.1-2 |
| Number of Pages: | 11 |
| Page Range: | pp. 322-332 |
| Identification Number: | 10.1016/j.jneumeth.2006.02.013 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| URI: | http://wrap.warwick.ac.uk/id/eprint/32962 |
Data sourced from Thomson Reuters' Web of Knowledge
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