Literature DB >> 21683942

The default mode network and EEG α oscillations: an independent component analysis.

Gennady G Knyazev1, Jaroslav Y Slobodskoj-Plusnin, Andrey V Bocharov, Liudmila V Pylkova.   

Abstract

The default mode network (DMN) has been principally investigated using positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) and has received mixed support in electroencephalographic (EEG) studies. In particular, the existing evidence is too inconsistent to allow formulation of specific hypotheses linking DMN activity to traditional EEG frequency bands. In this study, we aimed to test whether blind decomposition methods are able to identify in EEG data spatial patterns resembling the DMN as it is described in PET and fMRI studies. Further we aimed to test a degree of task-relatedness of DMN patterns identified in the traditional EEG frequency bands. To answer these questions we collected data both in a resting state and during performance of two experimental tasks: an explicit judgment of facial affect and a social game task. Individual differences in amount of self-referential thoughts during the resting state were measured by a short self-report scale. Only alpha band spatial patterns simultaneously showed a considerable overlap with the DMN and high correlations with presumptive DMN function-related outcomes both in the resting state and during the social game task. Spontaneous self-referential thoughts were associated with enhanced alpha activity in the posterior DMN hub, whereas processing of DMN function-related external stimuli disrupted this activity and simultaneously caused partial alpha phase-locking to external events. This evidence implies that synchronization of internal mental processes, as opposed to the processing of external stimuli, might be the primary function of alpha oscillations which is bound to be related to activity of the DMN.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21683942     DOI: 10.1016/j.brainres.2011.05.052

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  66 in total

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Journal:  Soc Cogn Affect Neurosci       Date:  2014-11-14       Impact factor: 3.436

5.  Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition.

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6.  Contrasting Effects of Posttraumatic Stress Disorder and Mild Traumatic Brain Injury on the Whole-Brain Resting-State Network: A Magnetoencephalography Study.

Authors:  Jared A Rowland; Jennifer R Stapleton-Kotloski; Greg E Alberto; Justin A Rawley; Robert J Kotloski; Katherine H Taber; Dwayne W Godwin
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7.  Frontal theta and posterior alpha in resting EEG: A critical examination of convergent and discriminant validity.

Authors:  Ezra E Smith; Craig E Tenke; Patricia J Deldin; Madhukar H Trivedi; Myrna M Weissman; Randy P Auerbach; Gerard E Bruder; Diego A Pizzagalli; Jürgen Kayser
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Review 10.  Dynamic functional connectivity: promise, issues, and interpretations.

Authors:  R Matthew Hutchison; Thilo Womelsdorf; Elena A Allen; Peter A Bandettini; Vince D Calhoun; Maurizio Corbetta; Stefania Della Penna; Jeff H Duyn; Gary H Glover; Javier Gonzalez-Castillo; Daniel A Handwerker; Shella Keilholz; Vesa Kiviniemi; David A Leopold; Francesco de Pasquale; Olaf Sporns; Martin Walter; Catie Chang
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

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