Literature DB >> 16495149

Spectral and complexity features of the EEG changed by visual input in a case of subcortical stroke compared to healthy controls.

Márk Molnár1, Roland Csuhaj, Szabolcs Horváth, Ildikó Vastagh, Zsófia Anna Gaál, Balázs Czigler, Andrea Bálint, Dóra Csikós, Zoltán Nagy.   

Abstract

OBJECTIVE: To compare spectral and complexity characteristics of the EEG in a unique case of subcortical infarct to those seen in healthy controls.
METHODS: Absolute and relative frequency spectra, theta/beta ratio, the brain symmetry index (BSI), Omega-complexity and synchronization likelihood were calculated of the EEG recorded in eyes closed and eyes open conditions.
RESULTS: Increased absolute delta, theta, and Omega-complexity in these frequency bands, higher theta/beta ratios, and decreased relative beta activity were found in the side of the infarct. The BSI localized the excess of slow, and decrease of fast frequency activity to the area of ischemia. Following eyes opening the increase of fast and decrease of slow frequencies, the increase of Omega-complexity in the alpha and beta bands, and the decrease of synchronization likelihood for the fast frequency bands were reduced in the side of the infarct.
CONCLUSIONS: The subcortical infarct caused ipsilaterally increased slow, and decreased fast frequency activity accompanied by decreased synchronization of slow, increased synchronization of fast frequencies. Reduced reactivity in the ischemic side was particularly apparent for complexity measures. SIGNIFICANCE: Complexity indices of the EEG are sensitive complementary measures of electrophysiological changes caused by local lesions such as subcortical stroke.

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Year:  2006        PMID: 16495149     DOI: 10.1016/j.clinph.2005.12.022

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  3 in total

1.  A quantitative EEG method for detecting post clamp changes during carotid endarterectomy.

Authors:  Meenakshi Mishra; Muhammed Banday; Reza Derakhshani; John Croom; Paul J Camarata
Journal:  J Clin Monit Comput       Date:  2011-09-30       Impact factor: 2.502

2.  Power spectral density and coherence analysis of Alzheimer's EEG.

Authors:  Ruofan Wang; Jiang Wang; Haitao Yu; Xile Wei; Chen Yang; Bin Deng
Journal:  Cogn Neurodyn       Date:  2014-12-16       Impact factor: 5.082

3.  Analysis of using the tongue deviation angle as a warning sign of a stroke.

Authors:  Ching-Chuan Wei; Shu-Wen Huang; Sheng-Lin Hsu; Hsing-Chung Chen; Jong-Shin Chen; Hsinying Liang
Journal:  Biomed Eng Online       Date:  2012-08-21       Impact factor: 2.819

  3 in total

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