Literature DB >> 15902586

The intensity dependence of auditory evoked ERP components predicts responsiveness to reboxetine treatment in major depression.

T Linka1, B W Müller, S Bender, G Sartory, M Gastpar.   

Abstract

INTRODUCTION: The intensity (loudness)-dependent amplitude change (IDAP) of auditory evoked event-related potential (ERP) components has been suggested as an indicator of central serotonergic neurotransmission. In patients with major depression, associations of high IDAP with favorable SSRI treatment outcome have been reported. This is the first study to assess the predictive value of the IDAP in SNRI treatment.
METHODS: We evaluated the pre-treatment intensity-dependent change of auditory evoked P1, N1, P2, and P1/N1 and N1/P2 peak-to-peak amplitudes in 14 inpatients with major depressive episode (DSM IV) in the course of 24 days of treatment with the SNRI reboxetine (6-12 mg/d).
RESULTS: Our data revealed a highly significant correlation between lower intensity-dependent N1 amplitude slopes prior to reboxetine treatment and stronger decrease of HDRS total score at Fz ( r = 0.86, P < 0.001), Fcz ( r = 0.91, P < 0.001), and Cz ( r = 0.93, P < 0.001).
CONCLUSION: This result corroborates the hypothesis of the IDAP as a differential indicator of serotonergic versus noradrenergic antidepressant psychopharmacotherapy.

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Year:  2005        PMID: 15902586     DOI: 10.1055/s-2005-864126

Source DB:  PubMed          Journal:  Pharmacopsychiatry        ISSN: 0176-3679            Impact factor:   5.788


  12 in total

1.  Loudness dependence of auditory evoked potentials (LDAEP) correlates with the availability of dopamine transporters and serotonin transporters in healthy volunteers-a two isotopes SPECT study.

Authors:  I Hui Lee; Yen Kuang Yang; Po See Chen; Hui Chun Huang; Tzung Lieh Yeh; Ru-Band Lu; Nan-Tsing Chiu; Wei Jen Yao; Shih-Hsien Lin
Journal:  Psychopharmacology (Berl)       Date:  2010-11-12       Impact factor: 4.530

2.  A chronically implantable, hybrid cannula-electrode device for assessing the effects of molecules on electrophysiological signals in freely behaving animals.

Authors:  Bradley Greger; Babak Kateb; Peter Gruen; Paul H Patterson
Journal:  J Neurosci Methods       Date:  2007-04-05       Impact factor: 2.390

3.  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

4.  Tobacco use is associated with reduced amplitude and intensity dependence of the cortical auditory evoked N1-P2 component.

Authors:  Philippe Jawinski; Nicole Mauche; Christine Ulke; Jue Huang; Janek Spada; Cornelia Enzenbach; Christian Sander; Ulrich Hegerl; Tilman Hensch
Journal:  Psychopharmacology (Berl)       Date:  2016-03-17       Impact factor: 4.530

5.  Demonstrating test-retest reliability of electrophysiological measures for healthy adults in a multisite study of biomarkers of antidepressant treatment response.

Authors:  Craig E Tenke; Jürgen Kayser; Pia Pechtel; Christian A Webb; Daniel G Dillon; Franziska Goer; Laura Murray; Patricia Deldin; Benji T Kurian; Patrick J McGrath; Ramin Parsey; Madhukar Trivedi; Maurizio Fava; Myrna M Weissman; Melvin McInnis; Karen Abraham; Jorge E Alvarenga; Daniel M Alschuler; Crystal Cooper; Diego A Pizzagalli; Gerard E Bruder
Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

Review 6.  Progress in Elucidating Biomarkers of Antidepressant Pharmacological Treatment Response: A Systematic Review and Meta-analysis of the Last 15 Years.

Authors:  G Voegeli; M L Cléry-Melin; N Ramoz; P Gorwood
Journal:  Drugs       Date:  2017-12       Impact factor: 9.546

7.  Negative urgency as a risk factor for hazardous alcohol use: Dual influences of cognitive control and reinforcement processing.

Authors:  Eric Rawls; Noah R Wolkowicz; Lindsay S Ham; Connie Lamm
Journal:  Neuropsychologia       Date:  2021-08-26       Impact factor: 3.054

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.  Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design.

Authors:  Madhukar H Trivedi; Patrick J McGrath; Maurizio Fava; Ramin V Parsey; Benji T Kurian; Mary L Phillips; Maria A Oquendo; Gerard Bruder; Diego Pizzagalli; Marisa Toups; Crystal Cooper; Phil Adams; Sarah Weyandt; David W Morris; Bruce D Grannemann; R Todd Ogden; Randy Buckner; Melvin McInnis; Helena C Kraemer; Eva Petkova; Thomas J Carmody; Myrna M Weissman
Journal:  J Psychiatr Res       Date:  2016-03-15       Impact factor: 4.791

10.  Response prediction to antidepressants using scalp and source-localized loudness dependence of auditory evoked potential (LDAEP) slopes.

Authors:  Natalia Jaworska; Claude Blondeau; Pierre Tessier; Sandhaya Norris; Wendy Fusee; Pierre Blier; Verner Knott
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2013-01-27       Impact factor: 5.067

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