Literature DB >> 10928314

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

J Gallinat1, R Bottlender, G Juckel, A Munke-Puchner, G Stotz, H J Kuss, P Mavrogiorgou, U Hegerl.   

Abstract

RATIONALE: A serotonergic dysfunction is supposed to play a pathogenetic role in depression, but there is a considerable number of non-responders in the acute treatment of depression with serotonergic agents like SSRI. Thus, an indicator of central serotonergic activity could lead to a more specific pharmacological treatment of depression. In animal and human data there is a growing amount of evidence that a strong loudness dependency of late auditory evoked potentials (LDAEP) is an indicator of low serotonergic activity and vice versa.
OBJECTIVE: In 29 depressive inpatients (DSM-III-R diagnosis 296.x in 28 patients, 300.4 in one patient), the hypothesis was tested that a strong LDAEP prior to treatment can predict a better clinical outcome under SSRI treatment over 4 weeks.
RESULTS: Patients with a strong pre-treatment LDAEP had a significantly greater decrease of depressive symptoms (Hamilton Scale for Depression) after 4 weeks than patients with a flat LDAEP. Significantly more responders fell into the group with a high LDAEP. Contrary to what might be expected, a second recording in a subsample of 19 patients after 4 weeks of treatment failed to show changes in the LDAEP.
CONCLUSION: Our finding confirms the hypothesis that a strong LDAEP, indicating a low serotonergic activity, is related to a favorable response to acute SSRI treatment in depression. The LDAEP is a promising tool for the prediction of response to serotonin agonists in depression and it seems to be of clinical importance.

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Year:  2000        PMID: 10928314     DOI: 10.1007/s002130050070

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  44 in total

Review 1.  Role of pharmacogenomics in individualising treatment with SSRIs.

Authors:  Dalu Mancama; Robert W Kerwin
Journal:  CNS Drugs       Date:  2003       Impact factor: 5.749

2.  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

Review 3.  [Monoaminergic function in major depression. A possibly helpful tool for choosing treatment strategy].

Authors:  O Moeller; C Norra; G Gründer
Journal:  Nervenarzt       Date:  2006-07       Impact factor: 1.214

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

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

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Journal:  J Neurosci Methods       Date:  2007-04-05       Impact factor: 2.390

6.  Intensity dependence of auditory P2 in monozygotic twins discordant for Vietnam combat: associations with posttraumatic stress disorder.

Authors:  Linda J Metzger; Roger K Pitman; Gregory A Miller; Stephen R Paige; Scott P Orr
Journal:  J Rehabil Res Dev       Date:  2008

7.  Examining the underpinnings of loudness dependence of auditory evoked potentials with positron emission tomography.

Authors:  Rajapillai L I Pillai; Elizabeth A Bartlett; Mala R Ananth; Chencan Zhu; Jie Yang; Greg Hajcak; Ramin V Parsey; Christine DeLorenzo
Journal:  Neuroimage       Date:  2020-03-10       Impact factor: 6.556

8.  [123I] ADAM brainstem binding correlates with the loudness dependence of auditory evoked potentials.

Authors:  Oliver Pogarell; Walter Koch; Nadine Schaaff; Gabriele Pöpperl; Christoph Mulert; Georg Juckel; Hans-Jürgen Möller; Ulrich Hegerl; Klaus Tatsch
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2007-11-07       Impact factor: 5.270

9.  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

10.  Predictors of nonresponse to cognitive behavioural therapy or venlafaxine using glucose metabolism in major depressive disorder.

Authors:  Jakub Z Konarski; Sidney H Kennedy; Zindel V Segal; Mark A Lau; Peter J Bieling; Roger S McIntyre; Helen S Mayberg
Journal:  J Psychiatry Neurosci       Date:  2009-05       Impact factor: 6.186

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