Imaging EEG synchronization in schizophrenia patients with S-estimator

Details

Serval ID
serval:BIB_22EB7F665FDC
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
Imaging EEG synchronization in schizophrenia patients with S-estimator
Author(s)
Knyazeva Maria G., Jalili M., Do Kim Quang, Bovet Pierre, Cuénod Michel, Deppen Patricia, Meuli Reto, Maeder Philippe, Lavoie Suzie, Vianin Pascal, Hasler M., Feo Oscar de
ISBN
0586-7614
Publication state
Published
Issued date
2007
Peer-reviewed
Oui
Volume
33
Series
Schizophrenia Bulletin
Pages
374
Language
english
Notes
SAPHIRID:61550
Abstract
Recently a new measure of the cooperative behavior of simultaneous time series was introduced (Carmeli et al. NeuroImage 2005). This measure called S-estimator is defined from the embedding dimension in a state space. S-estimator quantifies the amount of synchronization within a data set by comparing the actual dimensionality of the set with the expected full dimensionality of the asynchronous set. It has the advantage of being a multivariate measure over traditionally used in systems neuroscience bivariate measures of synchronization. Multivariate measures of synchronization are of particular interest for applications in the field of modern multichannel EEG research, since they easily allow mapping of local and/or regional synchronization and are compatible with other imaging techniques. We applied Sestimator to the analysis of EEG synchronization in schizophrenia patients vs. matched controls. The whole-head mapping with S-estimator revealed a specific pattern of local synchronization in schizophrenia patients. The differences in the landscape of synchronization included decreased local synchronization in the territories over occipital and midline areas and increased synchronization over temporal areas. In frontal areas, the S-estimator revealed a tendency for an asymmetry: decreased S-values over the left hemisphere were adjacent to increased values over the right hemisphere. Separate calculations showed reproducibility of this pattern across the main EEG frequency bands. The maintenance of the same synchronization landscape across EEG frequencies probably implies the structural changes in the cortical circuitry of schizophrenia patients. These changes are regionally specific and suggest that schizophrenia is a misconnectivity rather than hypo- or hyper-connectivity disorder.
Open Access
Yes
Create date
10/03/2008 9:50
Last modification date
20/08/2019 13:00
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