Functional connectivity in major depression: increased phase synchronization between frontal cortical EEG-source estimates.


Structural and metabolic alterations in prefrontal brain areas, including the subgenual (SGPFC), medial (MPFC) and dorsolateral prefrontal cortex (DLPFC), have been shown in major depressive disorder (MDD). Still it remains largely unknown how brain connectivity within these regions is altered at the level of neuronal oscillations. Therefore, the goal was to analyze prefrontal electroencephalographic phase synchronization in MDD and its changes after antidepressant treatment. In 60 unmedicated patients and 60 healthy controls (HC), a 15-min resting electroencephalogram (EEG) was recorded in subjects at baseline and in a subgroup of patients after 2 weeks of antidepressant medication. EEG functional connectivity between the SGPFC and the MPFC/DLPFC was assessed with eLORETA (low resolution brain electromagnetic tomography) by means of lagged phase synchronization. At baseline, patients revealed increased prefrontal connectivity at the alpha frequency between the SGPFC and the left DLPFC/MPFC. After treatment, an increased connectivity between the SGPFC and the right DLPFC/MPFC at the beta frequency was found for MDD. A positive correlation was found for baseline beta connectivity and reduction in scores on the Hamilton depression rating scale. MDD is characterized by increased EEG functional connectivity within frontal brain areas. These EEG markers of disturbed neuronal communication might have potential value as biomarkers.

PubMed ID: 24674895

Projects: LIFE Adult

Publication type: Not specified

Journal: Psychiatry Res

Human Diseases: Major depressive disorder

Citation: Psychiatry Res. 2014 Apr 30;222(1-2):91-9. doi: 10.1016/j.pscychresns.2014.02.010. Epub 2014 Feb 26.

Date Published: 30th Apr 2014

Registered Mode: by PubMed ID

Authors: S. Olbrich, A. Trankner, T. Chittka, U. Hegerl, P. Schonknecht

help Submitter

Views: 3299

Created: 8th May 2019 at 14:37

Last updated: 7th Dec 2021 at 17:58

help Attributions


Related items

Powered by
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies