Literature DB >> 27001453

Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis.

Gennady G Knyazev1, Alexander N Savostyanov2, Andrey V Bocharov2, Sergey S Tamozhnikov3, Alexander E Saprigyn3.   

Abstract

Major Depressive Disorder (MDD) has been associated with predominance of the default-mode network (DMN) over the task-positive network (TPN), which is considered a neurobiological base for ruminative responding. It is not known whether this predominance is a signature of the full-blown MDD or it already exists at preclinical stages. Besides, all relevant evidence has been obtained using fMRI, which allows for a precise spatial characterization of resting state networks (RSNs), but their neural correlates remain elusive. Here we show that after leakage correction of beamformer-projected resting EEG time series, seed-based oscillatory-power envelope correlation analysis allows revealing RSNs with significant similarity to respective fMRI RSNs. In a non-clinical sample, depressive symptoms, as measured by the Beck Depression Inventory, are associated with predominance of DMN over TPN connectivity in the right insula and the right temporal lobe in the delta frequency band. These findings imply that in individuals with heightened level of depressive symptoms, emotional circuits are stronger connected with DMN than TPN and should be more easily engaged in self-referential rumination than in responding to environmental challenges. The study's findings are in agreement with fMRI evidence, thus confirming the neural base of the observed in fMRI research effects and showing that implicated in depression neural mechanism may already be in action even at preclinical stages.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Beamformer; Default mode network; Depression; EEG; Functional connectivity; Resting-state networks

Mesh:

Year:  2016        PMID: 27001453     DOI: 10.1016/j.bbr.2016.03.033

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  7 in total

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Authors:  Caroline A Figueroa; Joana Cabral; Roel J T Mocking; Kristina M Rapuano; Tim J van Hartevelt; Gustavo Deco; Paul Expert; Aart H Schene; Morten L Kringelbach; Henricus G Ruhé
Journal:  Hum Brain Mapp       Date:  2019-03-12       Impact factor: 5.038

2.  Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment.

Authors:  Dmitry D Bezmaternykh; Mikhail Ye Melnikov; Andrey A Savelov; Lyudmila I Kozlova; Evgeniy D Petrovskiy; Kira A Natarova; Mark B Shtark
Journal:  Neural Plast       Date:  2021-01-15       Impact factor: 3.599

3.  How Self-Appraisal Is Mediated by the Brain.

Authors:  Gennady G Knyazev; Alexander N Savostyanov; Andrey V Bocharov; Pavel D Rudych
Journal:  Front Hum Neurosci       Date:  2021-06-29       Impact factor: 3.169

4.  Functional Connectivity between Task-Positive Networks and the Left Precuneus as a Biomarker of Response to Lamotrigine in Bipolar Depression: A Pilot Study.

Authors:  Marieke Martens; Nicola Filippini; Charles Masaki; Beata R Godlewska
Journal:  Pharmaceuticals (Basel)       Date:  2021-06-03

Review 5.  A lateralized model of the pain-depression dyad.

Authors:  Anne Margarette S Maallo; Eric A Moulton; Christine B Sieberg; Donald B Giddon; David Borsook; Scott A Holmes
Journal:  Neurosci Biobehav Rev       Date:  2021-06-06       Impact factor: 9.052

6.  Cortical Statistical Correlation Tomography of EEG Resting State Networks.

Authors:  Chuang Li; Han Yuan; Guofa Shou; Yoon-Hee Cha; Sridhar Sunderam; Walter Besio; Lei Ding
Journal:  Front Neurosci       Date:  2018-05-30       Impact factor: 4.677

7.  Effect of Cultural Priming on Social Behavior and EEG Correlates of Self-Processing.

Authors:  Gennady G Knyazev; Ekaterina A Merkulova; Alexander N Savostyanov; Andrey V Bocharov; Alexander E Saprigyn
Journal:  Front Behav Neurosci       Date:  2018-10-08       Impact factor: 3.558

  7 in total

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