Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-30T05:41:27.610Z Has data issue: false hasContentIssue false
  • English
  • Français

EPA-1603 - Changes of Resting-state eeg and Functional Connectivity in the Sensor and Source Space of Patients with Major Depression

Published online by Cambridge University Press:  15 April 2020

D. Keeser ,
S. Karch ,
V. Kirsch ,
J.R. Davis ,
A. Länger ,
A. Chrobok ,
F. Loy ,
T. Surmeli ,
H. Engelbregt  and
R.W. Thatcher
...Show all authors
D. Keeser
Affiliation:
Psychiatry, University of Munich, Munich, Germany
S. Karch
Affiliation:
Psychiatry, University of Munich, Munich, Germany
V. Kirsch
Affiliation:
Dept. of Neurology, University of Munich, Munich, Germany
J.R. Davis
Affiliation:
Department of Psychiatry and Behavioral Neurosciences, McMaster University, Ontario, Canada
A. Länger
Affiliation:
Psychiatry, University of Munich, Munich, Germany
A. Chrobok
Affiliation:
Psychiatry, University of Munich, Munich, Germany
F. Loy
Affiliation:
Psychiatry, University of Munich, Munich, Germany
T. Surmeli
Affiliation:
Neurophysiology, Living Mental Health Center for Research and Education, Istanbul, Turkey
H. Engelbregt
Affiliation:
Psychiatry, University of Munich, Munich, Germany
R.W. Thatcher
Affiliation:
NeuroImaging Laboratory, Applied Neuroscience Research Institute, St. Petersburg FL, USA
O. Pogarell
Affiliation:
Psychiatry, University of Munich, Munich, Germany

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Dyfunctions of prefrontal neuronal circuits contribute to the pathophysiology of depression. Previous studies showed increased functional MRI and EEG connectivity in patients with depression. In this study we investigated a large sample of patients with major depression (n=228) and healthy subjects (n=215).

Methods

Spectrotemporal dynamics during resting state with closed eyes were analyzed in sensor and source space to examine functional EEG connectivity (fcEEG) alterations between groups. Quantitative measures of delta, theta, alpha, beta and gamma power, hemispheric asymmetry, coherence, phase and current source density (CSD, eLORETA) analyses were calculated from artifact-free EEG recordings.

Results

EEG theta power was increased in all brain regions in the group of patients with a focus in frontal regions and increased frontal theta and alpha power. Excessive coherence differences were detected in the delta, theta and alpha-bands in frontal, frontal-temporal and frontal-parietal regions. There were changes in phase differences in the delta, theta, alpha-bands between patients and healthy subjects. Differences in CSD were found for the delta, theta, alpha-band in the (rostral and subgenual) anterior cingulate cortex (ACC) with increased CSD in the patients.

Conclusion

The main finding of the present study was an increase in cortical slow-wave activity in sensor and source space in patients with depression revealing marked differences in prefrontal cortical networks. Functional delta, theta and alpha connectivity (coherence and phase) were altered with a predominance in the left hemisphere. Dysfunctions of the ACC, together with alterations in fcEEG may contribute to the pathophysiology of major depression.

Type
E02 - e-Poster Oral Session 02: Depression and Suicide
Information
European Psychiatry , Volume 29 , Issue S1: Abstracts of the 22nd European Congress of Psychiatry , 2014 , pp. 1
Copyright
Copyright © European Psychiatric Association 2014
Submit a response

Comments

No Comments have been published for this article.