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1159 – Description Of The Brain Functional Connectivity Across Sleep Stages Using a Coherence Analysis

Published online by Cambridge University Press:  15 April 2020

F. Jurysta
Affiliation:
Department of Psychiatry, ULB-Erasme Academic Hospital, Brussels
L. Van Wettere
Affiliation:
Department of Psychiatry, ULB-Erasme Academic Hospital, Brussels
J.-P. Lanquart
Affiliation:
Department of Psychiatry, ULB-Erasme Academic Hospital, Brussels
P. Linkowski
Affiliation:
Department of Psychiatry, ULB-Erasme Academic Hospital, Brussels
D. Marinazzo
Affiliation:
Department of Data Analysis, Faculty of Psychology and Pedagogical Sciences, University of Gent, Gent, Belgium

Abstract

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Objectives

The statistical dependencies among even remote brain regions are reflected by the functional connectivity. We studied the functional brain network across sleep stages for each relevant sleep EEG frequency band.

Methods

Nine healthy young subjects without somatic, psychiatric and sleep disorders were recruited. Sleep stages were defined in accordance with the Rechtschaffen and Kales criteria. The first 20 epochs of each sleep stage (Wake, stages 1 to 4 and REM sleep) were used for analysis in regard of specific sleep EEG frequencies as delta, theta, alpha, sigma and beta. Coherence analysis was applied between each electrode and each other of the 19 EEG electrodes.

Results

Coherence analysis showed high values within the same hemisphere at wake and sleep stage 1. During stages 2, 3 and 4 and REM sleep, high correlations were extended to more regions, particularly for slow oscillations. In delta band, coherences values differed between right and left cerebral hemispheres during all sleep stages. In other frequency bands, none differences were observed between both sides. In the right hemisphere, coherence values changed across sleep stages in delta frequency but remained unchanged for other sleep EEG frequencies. In the left hemisphere, none changes in coherence were observed across sleep stages and each frequency except for sigma and beta.

Conclusions

Changes in coherence measurements showed different mapping in the three sleep main states (Wake, NREM and REM sleep) and for sleep EEG frequencies. Further analyses will investigate connectivity across sleep stages transitions and also, in psychiatric conditions.

Type
Abstract
Copyright
Copyright © European Psychiatric Association 2013
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