Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.

<h4>Background</h4>The dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged. A functional counterpart of the structural maps would...

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Autores principales:	Mahdi Jalili, Suzie Lavoie, Patricia Deppen, Reto Meuli, Kim Q Do, Michel Cuénod, Martin Hasler, Oscar De Feo, Maria G Knyazeva
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2007
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ab8fa170fc1a442aa9f9af82ee979c0e
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spelling	oai:doaj.org-article:ab8fa170fc1a442aa9f9af82ee979c0e2021-11-25T06:10:39ZDysconnection topography in schizophrenia revealed with state-space analysis of EEG.1932-620310.1371/journal.pone.0001059https://doaj.org/article/ab8fa170fc1a442aa9f9af82ee979c0e2007-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0001059https://doaj.org/toc/1932-6203<h4>Background</h4>The dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged. A functional counterpart of the structural maps would be the EEG synchronization maps. However, due to the limits of currently used bivariate methods, functional correlates of dysconnection are limited to the isolated measurements of synchronization between preselected pairs of EEG signals.<h4>Methods/results</h4>To reveal a whole-head synchronization topography in schizophrenia, we applied a new method of multivariate synchronization analysis called S-estimator to the resting dense-array (128 channels) EEG obtained from 14 patients and 14 controls. This method determines synchronization from the embedding dimension in a state-space domain based on the theoretical consequence of the cooperative behavior of simultaneous time series-the shrinking of the state-space embedding dimension. The S-estimator imaging revealed a specific synchronization landscape in schizophrenia patients. Its main features included bilaterally increased synchronization over temporal brain regions and decreased synchronization over the postcentral/parietal region neighboring the midline. The synchronization topography was stable over the course of several months and correlated with the severity of schizophrenia symptoms. In particular, direct correlations linked positive, negative, and general psychopathological symptoms to the hyper-synchronized temporal clusters over both hemispheres. Along with these correlations, general psychopathological symptoms inversely correlated within the hypo-synchronized postcentral midline region. While being similar to the structural maps of cortical changes in schizophrenia, the S-maps go beyond the topography limits, demonstrating a novel aspect of the abnormalities of functional cooperation: namely, regionally reduced or enhanced connectivity.<h4>Conclusion/significance</h4>The new method of multivariate synchronization significantly boosts the potential of EEG as an imaging technique compatible with other imaging modalities. Its application to schizophrenia research shows that schizophrenia can be explained within the concept of neural dysconnection across and within large-scale brain networks.Mahdi JaliliSuzie LavoiePatricia DeppenReto MeuliKim Q DoMichel CuénodMartin HaslerOscar De FeoMaria G KnyazevaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 2, Iss 10, p e1059 (2007)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mahdi Jalili Suzie Lavoie Patricia Deppen Reto Meuli Kim Q Do Michel Cuénod Martin Hasler Oscar De Feo Maria G Knyazeva Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
description	<h4>Background</h4>The dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged. A functional counterpart of the structural maps would be the EEG synchronization maps. However, due to the limits of currently used bivariate methods, functional correlates of dysconnection are limited to the isolated measurements of synchronization between preselected pairs of EEG signals.<h4>Methods/results</h4>To reveal a whole-head synchronization topography in schizophrenia, we applied a new method of multivariate synchronization analysis called S-estimator to the resting dense-array (128 channels) EEG obtained from 14 patients and 14 controls. This method determines synchronization from the embedding dimension in a state-space domain based on the theoretical consequence of the cooperative behavior of simultaneous time series-the shrinking of the state-space embedding dimension. The S-estimator imaging revealed a specific synchronization landscape in schizophrenia patients. Its main features included bilaterally increased synchronization over temporal brain regions and decreased synchronization over the postcentral/parietal region neighboring the midline. The synchronization topography was stable over the course of several months and correlated with the severity of schizophrenia symptoms. In particular, direct correlations linked positive, negative, and general psychopathological symptoms to the hyper-synchronized temporal clusters over both hemispheres. Along with these correlations, general psychopathological symptoms inversely correlated within the hypo-synchronized postcentral midline region. While being similar to the structural maps of cortical changes in schizophrenia, the S-maps go beyond the topography limits, demonstrating a novel aspect of the abnormalities of functional cooperation: namely, regionally reduced or enhanced connectivity.<h4>Conclusion/significance</h4>The new method of multivariate synchronization significantly boosts the potential of EEG as an imaging technique compatible with other imaging modalities. Its application to schizophrenia research shows that schizophrenia can be explained within the concept of neural dysconnection across and within large-scale brain networks.
format	article
author	Mahdi Jalili Suzie Lavoie Patricia Deppen Reto Meuli Kim Q Do Michel Cuénod Martin Hasler Oscar De Feo Maria G Knyazeva
author_facet	Mahdi Jalili Suzie Lavoie Patricia Deppen Reto Meuli Kim Q Do Michel Cuénod Martin Hasler Oscar De Feo Maria G Knyazeva
author_sort	Mahdi Jalili
title	Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
title_short	Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
title_full	Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
title_fullStr	Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
title_full_unstemmed	Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.
title_sort	dysconnection topography in schizophrenia revealed with state-space analysis of eeg.
publisher	Public Library of Science (PLoS)
publishDate	2007
url	https://doaj.org/article/ab8fa170fc1a442aa9f9af82ee979c0e
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Dysconnection topography in schizophrenia revealed with state-space analysis of EEG.

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