Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/5728
Title: Independent component analysis for source localization of EEG sleep spindle components
Authors: Βεντούρας, Ερρίκος Μ.
Κτώνας, Περικλής Υ.
Τσέκου, Χαρά
Παπαρρηγόπουλος, Θωμάς
Καλατζής, Ιωάννης
Contributors: Σολδάτος, Κωνσταντίνος Ρ.
Item type: Journal article
Keywords: Sleep spindles;Electroencephalography;Άτρακτοι ύπνου;Ηλεκτροεγκεφαλογράφημα
Subjects: Medicine
Medical technology
Ιατρική
Ιατρικά όργανα και εξοπλισμός
Issue Date: 6-Feb-2015
2010
Date of availability: 6-Feb-2015
Publisher: Hindawi Publishing Corporation
Abstract: 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.
Description: Open access journal
Language: English
Citation: Vnetouras, E., Ktonas. P., Tsekou, H., Paparrigopoulos, T., Kalatzis, I., et al. (2010). Independent component analysis for source localization of EEG sleep spindle components. Computational Intelligence and Neuroscience. vol. 2010. Hindawi Publishing Corporation. Available from: http://www.hindawi.com
Journal: Computational Intelligence and Neuroscience
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/5728
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