Literature DB >> 12042180

Regional patterns of brain activity in adults with a history of childhood-onset depression: gender differences and clinical variability.

Anita Miller1, Nathan A Fox, Jeffrey F Cohn, Erika E Forbes, Joel T Sherrill, Maria Kovacs.   

Abstract

OBJECTIVE: The study investigated the hypothesis that EEG asymmetry scores (indicating higher right and lower left frontal brain activity) are associated with vulnerability to negative mood states and depressive disorders. Gender and clinical history variables were examined as factors that may influence the relation between EEG and depression.
METHOD: EEG measures of asymmetrical alpha frequency (7.5-12.5 Hz) suppression were analyzed in 55 young adults with a documented clinical history of childhood-onset depression and 55 comparison subjects with no history of major psychopathology. EEG patterns were examined in relation to operational diagnoses of mental disorders during childhood and adulthood.
RESULTS: Differences in EEG asymmetry between childhood depression probands and comparison subjects varied with gender, diagnostic history, and current symptoms. Women with childhood depression had higher right midfrontal alpha suppression, and men with childhood depression had higher left midfrontal alpha suppression, relative to comparison subjects. At all scalp sites, women showed greater alpha power than men. Probands with a bipolar spectrum course had the most extreme midfrontal asymmetry. Frontal asymmetry was more extreme in probands with current depressive symptoms than in those without current symptoms.
CONCLUSIONS: Regional brain activity is influenced by gender and variability in clinical course. The findings have implications for investigating brain correlates of mood disorder and may help to develop more refined phenotypes.

Entities:  

Mesh:

Year:  2002        PMID: 12042180     DOI: 10.1176/appi.ajp.159.6.934

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  29 in total

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2.  The relationship between alpha asymmetry and ADHD depends on negative affect level and parenting practices.

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3.  Frontal EEG asymmetry during emotional challenge differentiates individuals with and without lifetime major depressive disorder.

Authors:  Jennifer L Stewart; James A Coan; David N Towers; John J B Allen
Journal:  J Affect Disord       Date:  2010-09-25       Impact factor: 4.839

4.  Resting frontal EEG asymmetry as an endophenotype for depression risk: sex-specific patterns of frontal brain asymmetry.

Authors:  Jennifer L Stewart; Andrew W Bismark; David N Towers; James A Coan; John J B Allen
Journal:  J Abnorm Psychol       Date:  2010-08

5.  The oft-neglected role of parietal EEG asymmetry and risk for major depressive disorder.

Authors:  Jennifer L Stewart; David N Towers; James A Coan; John J B Allen
Journal:  Psychophysiology       Date:  2011-01       Impact factor: 4.016

6.  The persistence of hedonically-based mood repair among young offspring at high- and low-risk for depression.

Authors:  Shimrit Daches; Ilya Yaroslavsky; Maria Kovacs
Journal:  Cogn Emot       Date:  2019-09-04

7.  Comorbid anxiety moderates the relationship between depression history and prefrontal EEG asymmetry.

Authors:  Robin Nusslock; Alexander J Shackman; Brenton W McMenamin; Lawrence L Greischar; Richard J Davidson; Maria Kovacs
Journal:  Psychophysiology       Date:  2017-07-29       Impact factor: 4.016

8.  Resting and task-elicited prefrontal EEG alpha asymmetry in depression: support for the capability model.

Authors:  Jennifer L Stewart; James A Coan; David N Towers; John J B Allen
Journal:  Psychophysiology       Date:  2014-02-26       Impact factor: 4.016

9.  Grandchildren at high and low risk for depression differ in EEG measures of regional brain asymmetry.

Authors:  Gerard E Bruder; Craig E Tenke; Virginia Warner; Myrna M Weissman
Journal:  Biol Psychiatry       Date:  2007-05-03       Impact factor: 13.382

Review 10.  Characteristics, correlates, and outcomes of childhood and adolescent depressive disorders.

Authors:  Uma Rao; Li-Ann Chen
Journal:  Dialogues Clin Neurosci       Date:  2009       Impact factor: 5.986

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