Journal article
Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment
Biological cybernetics, v 83(1)
Jun 2000
PMID: 10933236
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this article we consider the application of parametric spectral analysis to multichannel event-related potentials (ERPs) during cognitive experiments. We show that with proper data preprocessing, Adaptive MultiVariate AutoRegressive (AMVAR) modeling is an effective technique for dealing with nonstationary ERP time series. We propose a bootstrap procedure to assess the variability in the estimated spectral quantities. Finally, we apply AMVAR spectral analysis to a visuomotor integration task, revealing rapidly changing cortical dynamics during different stages of task processing.
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Details
- Title
- Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment
- Creators
- Mingzhou Ding - Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA USSteven L Bressler - Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA USWeiming Yang - Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA USHualou Liang - Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA US
- Publication Details
- Biological cybernetics, v 83(1)
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000088160800004
- Scopus ID
- 2-s2.0-0034220863
- Other Identifier
- 991014878462104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Neurosciences