Literature DB >> 2183880

Quantitative, waking EEG research on depression.

V E Pollock1, L S Schneider.   

Abstract

Research published in the past decade that used quantitative indices to evaluate the waking EEG characteristics of depressed patients is reviewed. Methodological problems that make results of different research laboratories difficult to compare include diagnostic heterogeneity of depressed groups, lack of inclusion of control subjects, and differences in the EEG techniques. Despite interpretive problems that arise from such substantial variation, consistencies nevertheless emerge. Unmedicated, actively depressed patients appear to exhibit elevated EEG alpha and beta compared to control subjects. Delta and theta distinguished depressed patients from controls in some single studies, but variation in age, specific diagnostic depression categories, and EEG acquisition and analysis techniques rendered these results less definitive. Quantitative EEG differences that may distinguish depressed subject samples from those with other psychiatric disorders are considered. Factors that limit comparability of the findings are discussed in conjunction with strategies that deserve systematic study in future research.

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Year:  1990        PMID: 2183880     DOI: 10.1016/0006-3223(90)90591-o

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  20 in total

1.  Electroencephalographic and convulsive effects of binge doses of (+)-methamphetamine, 5-methoxydiisopropyltryptamine, and (±)-3,4-methylenedioxymethamphetamine in rats.

Authors:  Devon L Graham; Nicole R Herring; Tori L Schaefer; Katherine D Holland; Charles V Vorhees; Michael T Williams
Journal:  Open Neuropsychopharmacol J       Date:  2012

2.  Biomarker Development for Brain-Based Disorders: Recent Progress in Psychiatry.

Authors:  James O Ebot Enaw; Alicia K Smith
Journal:  J Neurol Psychol       Date:  2013-11-01

3.  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

4.  Higher frontal EEG synchronization in young women with major depression: a marker for increased homeostatic sleep pressure?

Authors:  Angelina Birchler-Pedross; Sylvia Frey; Sarah Laxhmi Chellappa; Thomas Götz; Patrick Brunner; Vera Knoblauch; Anna Wirz-Justice; Christian Cajochen
Journal:  Sleep       Date:  2011-12-01       Impact factor: 5.849

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

Authors:  Natalia Jaworska; Pierre Blier; Wendy Fusee; Verner Knott
Journal:  J Psychiatr Res       Date:  2012-08-28       Impact factor: 4.791

6.  Heritability and molecular-genetic basis of resting EEG activity: a genome-wide association study.

Authors:  Stephen M Malone; Scott J Burwell; Uma Vaidyanathan; Michael B Miller; Matt McGue; William G Iacono
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

7.  Daytime sleepiness, psychomotor performance, waking EEG spectra and evoked potentials in women with severe premenstrual syndrome.

Authors:  Fiona C Baker; Ian M Colrain
Journal:  J Sleep Res       Date:  2009-10-14       Impact factor: 3.981

8.  Quantitative EEG in elderly depressives.

Authors:  R A Roemer; C Shagass; W Dubin; R Jaffe; L Siegal
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

9.  Pilot Study of An Intracranial Electroencephalography Biomarker of Depressive Symptoms in Epilepsy.

Authors:  Katherine W Scangos; Hasan S Ahmad; Alia Shafi; Kristin K Sellers; Heather E Dawes; Andrew Krystal; Edward F Chang
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2019-08-09       Impact factor: 2.198

10.  Different patterns of local field potentials from limbic DBS targets in patients with major depressive and obsessive compulsive disorder.

Authors:  W-J Neumann; J Huebl; C Brücke; L Gabriëls; M Bajbouj; A Merkl; G-H Schneider; B Nuttin; P Brown; A A Kühn
Journal:  Mol Psychiatry       Date:  2014-02-11       Impact factor: 15.992

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