Literature DB >> 18061147

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

Gerard E Bruder1, James P Sedoruk, Jonathan W Stewart, Patrick J McGrath, Frederic M Quitkin, Craig E Tenke.   

Abstract

BACKGROUND: There is growing evidence that individual differences among depressed patients on electrophysiologic (EEG), neuroimaging, and neurocognitive measures are predictive of therapeutic response to antidepressant drugs. This study replicates prior findings of pretreatment differences between selective serotonin reuptake inhibitor (SSRI) responders and nonresponders in EEG alpha power or asymmetry and examines whether these differences normalize or are stable after treatment.
METHODS: Resting EEG (eyes open and closed) was recorded from 28 electrodes (nose reference) in 18 depressed patients when off medication and at the end of 12 weeks of fluoxetine treatment. Clinical response was assessed by an independent rater with the Clinical Global Impression Improvement scale. The EEG data were also obtained for 18 healthy adults matched to patients in gender and age.
RESULTS: Treatment responders had greater alpha power compared with nonresponders and healthy control subjects, with largest differences at occipital sites where alpha was largest. There were also differences in alpha asymmetry between responders and nonresponders at occipital sites. Responders showed greater alpha (less activity) over right than left hemisphere, whereas nonresponders tended to show the opposite asymmetry. Neither alpha power nor asymmetry changed after treatment, and test-retest correlations were high, particularly for alpha power. Alpha power and asymmetry showed reasonable positive predictive value but less negative predictive value.
CONCLUSIONS: The findings confirm reports of alpha differences between antidepressant responders and nonresponders and raise hopes for developing EEG tests for selecting effective treatments for patients. The stability of alpha power and asymmetry differences between SSRI responders and nonresponders after treatment suggests that they represent state-independent characteristics.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18061147      PMCID: PMC2652474          DOI: 10.1016/j.biopsych.2007.10.009

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


  37 in total

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

Authors:  G E Bruder; J W Stewart; C E Tenke; P J McGrath; P Leite; N Bhattacharya; F M Quitkin
Journal:  Biol Psychiatry       Date:  2001-03-01       Impact factor: 13.382

2.  Early changes in prefrontal activity characterize clinical responders to antidepressants.

Authors:  Ian A Cook; Andrew F Leuchter; Melinda Morgan; Elise Witte; William F Stubbeman; Michelle Abrams; Susan Rosenberg; Sebastian H J Uijtdehaage
Journal:  Neuropsychopharmacology       Date:  2002-07       Impact factor: 7.853

3.  Electroencephalographic asymmetries in adolescents with major depression: influence of comorbidity with anxiety disorders.

Authors:  L M Kentgen; C E Tenke; D S Pine; R Fong; R G Klein; G E Bruder
Journal:  J Abnorm Psychol       Date:  2000-11

4.  Anterior cingulate activity as a predictor of degree of treatment response in major depression: evidence from brain electrical tomography analysis.

Authors:  D Pizzagalli; R D Pascual-Marqui; J B Nitschke; T R Oakes; C L Larson; H C Abercrombie; S M Schaefer; J V Koger; R M Benca; R J Davidson
Journal:  Am J Psychiatry       Date:  2001-03       Impact factor: 18.112

5.  The loudness dependency of the auditory evoked N1/P2-component as a predictor of the acute SSRI response in depression.

Authors:  J Gallinat; R Bottlender; G Juckel; A Munke-Puchner; G Stotz; H J Kuss; P Mavrogiorgou; U Hegerl
Journal:  Psychopharmacology (Berl)       Date:  2000-03       Impact factor: 4.530

6.  Executive dysfunction predicts nonresponse to fluoxetine in major depression.

Authors:  J J Dunkin; A F Leuchter; I A Cook; J E Kasl-Godley; M Abrams; S Rosenberg-Thompson
Journal:  J Affect Disord       Date:  2000-10       Impact factor: 4.839

7.  Differential brain metabolic predictors of response to paroxetine in obsessive-compulsive disorder versus major depression.

Authors:  Sanjaya Saxena; Arthur L Brody; Matthew L Ho; Narineh Zohrabi; Karron M Maidment; Lewis R Baxter
Journal:  Am J Psychiatry       Date:  2003-03       Impact factor: 18.112

8.  EEG correlates of acute and chronic paroxetine treatment in depression.

Authors:  Verner Knott; Colleen Mahoney; Sidney Kennedy; Kenneth Evans
Journal:  J Affect Disord       Date:  2002-05       Impact factor: 4.839

9.  Quantitative electroencephalographic subtyping of obsessive-compulsive disorder.

Authors:  L S Prichep; F Mas; E Hollander; M Liebowitz; E R John; M Almas; C M DeCaria; R H Levine
Journal:  Psychiatry Res       Date:  1993-04       Impact factor: 3.222

10.  Neurometric subgroups in attentional and affective disorders and their association with pharmacotherapeutic outcome.

Authors:  S C Suffin; W H Emory
Journal:  Clin Electroencephalogr       Date:  1995-04
View more
  62 in total

1.  EEG hemispheric asymmetries during cognitive tasks in depressed patients with high versus low trait anxiety.

Authors:  Carlye B G Manna; Craig E Tenke; Nathan A Gates; Jürgen Kayser; Joan C Borod; Jonathan W Stewart; Patrick J McGrath; Gerard E Bruder
Journal:  Clin EEG Neurosci       Date:  2010-10       Impact factor: 1.843

2.  Neuronal generators of posterior EEG alpha reflect individual differences in prioritizing personal spirituality.

Authors:  C E Tenke; J Kayser; L Miller; V Warner; P Wickramaratne; M M Weissman; G E Bruder
Journal:  Biol Psychol       Date:  2013-08-30       Impact factor: 3.251

3.  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

4.  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

5.  Interoception, homeostatic emotions and sympathovagal balance.

Authors:  Irina A Strigo; Arthur D Bud Craig
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-10       Impact factor: 6.237

6.  The effectiveness of prefrontal theta cordance and early reduction of depressive symptoms in the prediction of antidepressant treatment outcome in patients with resistant depression: analysis of naturalistic data.

Authors:  Martin Bares; Tomas Novak; Miloslav Kopecek; Martin Brunovsky; Pavla Stopkova; Cyril Höschl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-05-22       Impact factor: 5.270

7.  Temporal stability of posterior EEG alpha over twelve years.

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

8.  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

9.  Early prediction of acute antidepressant treatment response and remission in pediatric major depressive disorder.

Authors:  Rongrong Tao; Graham Emslie; Taryn Mayes; Paul Nakonezny; Betsy Kennard; Carroll Hughes
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-01       Impact factor: 8.829

Review 10.  Biomarkers to predict antidepressant response.

Authors:  Andrew F Leuchter; Ian A Cook; Steven P Hamilton; Katherine L Narr; Arthur Toga; Aimee M Hunter; Kym Faull; Julian Whitelegge; Anne M Andrews; Joseph Loo; Baldwin Way; Stanley F Nelson; Steven Horvath; Barry D Lebowitz
Journal:  Curr Psychiatry Rep       Date:  2010-12       Impact factor: 5.285

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.