Journal article
Re-examination of the evidence for low-dimensional, nonlinear structure in the human electroencephalogram
Electroencephalography and clinical neurophysiology, v 98(3), pp 213-222
1996
PMID: 8631281
Abstract
We have re-examined single channel EEG data obtained from normal human subjects. In the original analysis, calculation of the correlation dimension with the Grassberger-Procaccia algorithm produced results consistent with an interpretation of low-dimensional behavior. The re-examination suggests that the previous indication of low-dimensional structure was an artifact of autocorrelation in the oversampled signal. Calculations with a variant of the Grassberger-Procaccia algorithm modified to be less sensitive to autocorrelations, and comparison with linear gaussian surrogate data, indicate that these data may be more appropriately modeled by linearly filtered noise. Discriminant analysis further indicates that the correlation dimension is a poor discriminator for distinguishing between EEGs recorded at rest and during periods of cognitive activity.
It remains possible that the application of other nonlinear measures or the examination of multichannel EEG data may resolve structures not found in these calculations.
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Details
- Title
- Re-examination of the evidence for low-dimensional, nonlinear structure in the human electroencephalogram
- Creators
- James Theiler - Los Alamos National LaboratoryPaul E. Rapp - Drexel University
- Publication Details
- Electroencephalography and clinical neurophysiology, v 98(3), pp 213-222
- Publisher
- Elsevier Ireland Ltd
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:A1996UF90800005
- Scopus ID
- 2-s2.0-0029925526
- Other Identifier
- 991019330620304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Engineering, Biomedical