Literature DB >> 11274653

Electroencephalographic and perceptual asymmetry differences between responders and nonresponders to an SSRI antidepressant.

G E Bruder1, J W Stewart, C E Tenke, P J McGrath, P Leite, N Bhattacharya, F M Quitkin.   

Abstract

BACKGROUND: Recent reports suggest the value of electroencephalographic and dichotic listening measures as predictors of response to antidepressants. This study examines the potential of electroencephalographic alpha asymmetry and dichotic measures of perceptual asymmetry as predictors of clinical response to 12 weeks of treatment with fluoxetine (Prozac).
METHODS: Resting electroencephalography (eyes open and eyes closed) and dichotic listening with word or complex tone stimuli were assessed in depressed outpatients during a pretreatment period.
RESULTS: Fluoxetine responders (n = 34) differed from nonresponders (n = 19) in favoring left over right hemisphere processing of dichotic stimuli. They also differed in their resting electroencephalographic alpha asymmetry, particularly in the eyes open condition. Nonresponders showed an alpha asymmetry indicative of overall greater activation of the right hemisphere than the left, whereas responders did not. The relationship between hemispheric asymmetry and treatment response interacted with gender, being evident among depressed women but not men.
CONCLUSIONS: The results are consistent with the hypothesis that a characteristic tendency toward greater left than right hemisphere activation is associated with favorable response to fluoxetine, whereas the opposite hemispheric asymmetry predicts poor response.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11274653     DOI: 10.1016/s0006-3223(00)01016-7

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


  45 in total

Review 1.  The current status of research on the structure of evaluative space.

Authors:  Catherine J Norris; Jackie Gollan; Gary G Berntson; John T Cacioppo
Journal:  Biol Psychol       Date:  2010-03-24       Impact factor: 3.251

2.  fMRI predictors of treatment outcome in pediatric anxiety disorders.

Authors:  Erin B McClure; Abby Adler; Christopher S Monk; Jennifer Cameron; Samantha Smith; Eric E Nelson; Ellen Leibenluft; Monique Ernst; Daniel S Pine
Journal:  Psychopharmacology (Berl)       Date:  2006-09-14       Impact factor: 4.530

3.  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

4.  Variables in psychology: a critique of quantitative psychology.

Authors:  Aaro Toomela
Journal:  Integr Psychol Behav Sci       Date:  2008-06-05

5.  An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Authors:  Katherine W Scangos; Richard D Weiner; Edward C Coffey; Andrew D Krystal
Journal:  J ECT       Date:  2019-06       Impact factor: 3.635

6.  Prospective testing of a neurophysiologic biomarker for treatment decisions in major depressive disorder: The PRISE-MD trial.

Authors:  Ian A Cook; Aimee M Hunter; Marissa M Caudill; Michelle J Abrams; Andrew F Leuchter
Journal:  J Psychiatr Res       Date:  2020-02-26       Impact factor: 4.791

7.  Gene-class analysis of expression patterns induced by psychoactive pharmaceutical exposure in fathead minnow (Pimephales promelas) indicates induction of neuronal systems.

Authors:  Michael A Thomas; Parag P Joshi; Rebecca D Klaper
Journal:  Comp Biochem Physiol C Toxicol Pharmacol       Date:  2011-06-06       Impact factor: 3.228

8.  Role of Reward Sensitivity and Processing in Major Depressive and Bipolar Spectrum Disorders.

Authors:  Lauren B Alloy; Thomas Olino; Rachel D Freed; Robin Nusslock
Journal:  Behav Ther       Date:  2016-03-07

9.  Auditory P3 in antidepressant pharmacotherapy treatment responders, non-responders and controls.

Authors:  Natalia Jaworska; Elisea De Somma; Claude Blondeau; Pierre Tessier; Sandhaya Norris; Wendy Fusee; Dylan Smith; Pierre Blier; Verner Knott
Journal:  Eur Neuropsychopharmacol       Date:  2013-05-09       Impact factor: 4.600

10.  Electroencephalographic Biomarkers for Treatment Response Prediction in Major Depressive Illness: A Meta-Analysis.

Authors:  Alik S Widge; M Taha Bilge; Rebecca Montana; Weilynn Chang; Carolyn I Rodriguez; Thilo Deckersbach; Linda L Carpenter; Ned H Kalin; Charles B Nemeroff
Journal:  Am J Psychiatry       Date:  2018-10-03       Impact factor: 18.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.