Literature DB >> 21500316

Relationship of resting EEG with anatomical MRI measures in individuals at high and low risk for depression.

Gerard E Bruder1, Ravi Bansal, Craig E Tenke, Jun Liu, Xuejun Hao, Virginia Warner, Bradley S Peterson, Myrna M Weissman.   

Abstract

Studies have found abnormalities of resting EEG measures of hemispheric activity in depressive disorders. Similar EEG findings and a prominent thinning of the cortical mantle have been reported for persons at risk for depression. The correspondence between EEG alpha power and magnetic resonance imaging (MRI) measures of cortical thickness was examined in a multigenerational study of individuals at risk for depression. Seventy-five participants underwent resting EEG and approximately 5 years later underwent MRI scanning. High-risk participants (n = 37) were biological descendants of probands having major depression and low-risk participants (n = 38) were descendants of individuals without a history of depression. EEG alpha power was interpolated across the surface of a template brain and coregistered with measures of cortical thickness. Voxel-wise correlations of cortical thickness and alpha power were computed while covarying for age and gender. The high-risk group, when compared to the low-risk group, showed greater alpha asymmetry in an eyes-closed condition, with relatively less activity over right parietal cortex. Alpha power correlated inversely with cortical thickness, particularly over the right posterior region, indicating that EEG evidence of reduced cortical activity was associated with increased cortical thinning. This is the first report of widespread correlation of EEG alpha activity with MRI measures of cortical thickness. Although both EEG and MRI measures are associated with risk for depression, we did not detect evidence that cortical thickness mediated the alpha asymmetry findings. Thus, alpha asymmetry, alone or in combination with MRI, may be a marker of vulnerability for a familial form of depression.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21500316      PMCID: PMC3140562          DOI: 10.1002/hbm.21284

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  36 in total

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  16 in total

Review 1.  Biomarkers of intergenerational risk for depression: a review of mechanisms in longitudinal high-risk (LHR) studies.

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Journal:  J Affect Disord       Date:  2015-01-24       Impact factor: 4.839

2.  α Power, α asymmetry and anterior cingulate cortex activity in depressed males and females.

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3.  Multi-dimensional modulations of α and γ cortical dynamics following mindfulness-based cognitive therapy in Major Depressive Disorder.

Authors:  Poppy L A Schoenberg; Anne E M Speckens
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Authors:  Craig E Tenke; Jürgen Kayser; Jorge E Alvarenga; Karen S Abraham; Virginia Warner; Ardesheer Talati; Myrna M Weissman; Gerard E Bruder
Journal:  Clin Neurophysiol       Date:  2018-04-16       Impact factor: 3.708

5.  Using the high-risk family design to identify biomarkers for major depression.

Authors:  Ardesheer Talati; Myrna M Weissman; Steven P Hamilton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-25       Impact factor: 6.237

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Journal:  Hum Brain Mapp       Date:  2012-09-24       Impact factor: 5.038

Review 7.  Current source density analysis of resting state EEG in depression: a review.

Authors:  Ping Chai Koo; Johannes Thome; Christoph Berger; Paul Foley; Jacqueline Hoeppner
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8.  Brain laterality, depression and anxiety disorders: New findings for emotional and verbal dichotic listening in individuals at risk for depression.

Authors:  Gerard E Bruder; Jorge Alvarenga; Karen Abraham; Jamie Skipper; Virginia Warner; Daniel Voyer; Bradley S Peterson; Myrna M Weissman
Journal:  Laterality       Date:  2015-11-19

9.  Resting posterior alpha power and adolescent major depressive disorder.

Authors:  Akina Umemoto; Lidia Y X Panier; Sally L Cole; Jürgen Kayser; Diego A Pizzagalli; Randy P Auerbach
Journal:  J Psychiatr Res       Date:  2021-07-08       Impact factor: 5.250

10.  Increased parietal circuit-breaker activity in delta frequency band and abnormal delta/theta band connectivity in salience network in hyperacusis subjects.

Authors:  Jae Joon Han; Ji Hye Jang; Dirk De Ridder; Sven Vanneste; Ja-Won Koo; Jae-Jin Song
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

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