Independent Component Analysis for Source Localization of EEG Sleep Spindle Components
Joint Authors
Paparrigopoulos, Thomas
Tsekou, Hara
Kalatzis, Ioannis
Ventouras, Erricos M.
Soldatos, Constantin R.
Ktonas, Periklis Y.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Sleep spindles are bursts of sleep electroencephalogram (EEG) quasirhythmic activity within the frequency band of 11–16 Hz, characterized by progressively increasing, then gradually decreasing amplitude.
The purpose of the present study was to process sleep spindles with Independent Component Analysis (ICA) in order to investigate the possibility of extracting, through visual analysis of the spindle EEG and visual selection of Independent Components (ICs), spindle “components” (SCs) corresponding to separate EEG activity patterns during a spindle, and to investigate the intracranial current sources underlying these SCs.
Current source analysis using Low-Resolution Brain Electromagnetic Tomography (LORETA) was applied to the original and the ICA-reconstructed EEGs.
Results indicated that SCs can be extracted by reconstructing the EEG through back-projection of separate groups of ICs, based on a temporal and spectral analysis of ICs.
The intracranial current sources related to the SCs were found to be spatially stable during the time evolution of the sleep spindles.
American Psychological Association (APA)
Ventouras, Erricos M.& Ktonas, Periklis Y.& Tsekou, Hara& Paparrigopoulos, Thomas& Kalatzis, Ioannis& Soldatos, Constantin R.. 2010. Independent Component Analysis for Source Localization of EEG Sleep Spindle Components. Computational Intelligence and Neuroscience،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-464022
Modern Language Association (MLA)
Ventouras, Erricos M.…[et al.]. Independent Component Analysis for Source Localization of EEG Sleep Spindle Components. Computational Intelligence and Neuroscience No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-464022
American Medical Association (AMA)
Ventouras, Erricos M.& Ktonas, Periklis Y.& Tsekou, Hara& Paparrigopoulos, Thomas& Kalatzis, Ioannis& Soldatos, Constantin R.. Independent Component Analysis for Source Localization of EEG Sleep Spindle Components. Computational Intelligence and Neuroscience. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-464022
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464022