Literature DB >> 2907777

Some quantitative EEG findings in unmedicated and medicated major depressives.

C Shagass1, R A Roemer, R C Josiassen.   

Abstract

To confirm previous quantitative EEG findings in major depressive disorder and to assess effects of medication, EEGs were recorded under eyes closed and open conditions in 68 patients (34 unmedicated and 34 medicated) and nonpatients matched for age and sex. Time series analyses of amplitude, frequency and wave symmetry were performed; differences between eyes open and closed were adjusted for eyes closed values to obtain measures of reactivity. These reactivity measures yielded the main differences between unmedicated patients and nonpatients; depressives were more reactive. Reactivity differences were eliminated or reversed in medicated patients. The EEGs of unmedicated depressives appear to be overreactive, while medications decrease EEG reactivity.

Entities:  

Mesh:

Substances:

Year:  1988        PMID: 2907777     DOI: 10.1159/000118455

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  6 in total

1.  Electroencephalographic alpha measures predict therapeutic response to a selective serotonin reuptake inhibitor antidepressant: pre- and post-treatment findings.

Authors:  Gerard E Bruder; James P Sedoruk; Jonathan W Stewart; Patrick J McGrath; Frederic M Quitkin; Craig E Tenke
Journal:  Biol Psychiatry       Date:  2007-12-03       Impact factor: 13.382

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

Authors:  Gerard E Bruder; Ravi Bansal; Craig E Tenke; Jun Liu; Xuejun Hao; Virginia Warner; Bradley S Peterson; Myrna M Weissman
Journal:  Hum Brain Mapp       Date:  2011-04-15       Impact factor: 5.038

Review 3.  Evaluating the evidence for sex differences: a scoping review of human neuroimaging in psychopharmacology research.

Authors:  Korrina A Duffy; C Neill Epperson
Journal:  Neuropsychopharmacology       Date:  2021-11-03       Impact factor: 7.853

4.  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

5.  Resting State Quantitative Electroencephalogram Power Spectra in Patients with Depressive Disorder as Compared to Normal Controls: An Observational Study.

Authors:  Jnanamay Das; Shailly Yadav
Journal:  Indian J Psychol Med       Date:  2020-01-06

6.  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

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.