Cited by 582EEG and Brain-Computer InterfacesNeural dynamics and brain functionControl Systems and Identification

Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment

Ding, Mingzhou, Bressler, Steven L., Yang, Weiming, Liang, Hualou·2000·Biological Cybernetics

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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Crossref · 10.1007/s004229900137

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16 of 16 references verified0 citation errors · 0 not checkable

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  • Algorithms have been developed for estimating functional connectivity from electrophysiological source signals derived from EEG or MEG, including directed transfer function, adaptive directed transfer function, direct directed transfer function, and partial directed coherence.

    “Algorithms have been developed for estimating functional connectivity from electrophysiological source signals derived from EEG (or MEG), including directed transfer function (DTF) algorithm (98), the adaptive DTF (ADTF) (99–101), direct DTF (dDTF) (102), and partial directed coherence (PDC) (103).”

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Authors
Ding, M., Bressler, S. L., Yang, W., & Liang, H.
Affiliations
Florida Atlantic University (US)
Venue
Biological Cybernetics
Published
2000-06-21
Volume
83
Issue
1
Pages
35-45
ISSN
  • 0340-1200 (ISSN-L)
  • 1432-0770
OpenAlex
W2074501647
Cited by
582
References
16
Citations by year
2026: 6 · 2025: 9 · 2024: 12 · 2023: 19 · 2022: 24 · 2021: 20 · 2020: 25 · 2019: 36 · 2018: 32 · 2017: 22 · 2016: 32 · 2015: 31 · 2014: 37 · 2013: 36 · 2012: 33
FWCI
5.26
Type
journal article
Language
en
Open access
closed
Locations
  • Biological Cybernetics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (5r03mh058190-02)
  • National Institute of Mental Health (MH-58190-02)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
Keywords
event-related potentials, parametric spectral estimation, non-stationary time series, data preprocessing, model validation, cortical dynamics
MeSH terms
Animals, Cerebral Cortex, Cognition, Evoked Potentials, Macaca, Models, Neurological, Pattern Recognition, Visual, Psychomotor Performance, Reproducibility of Results, Multivariate Analysis

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