Literature DB >> 9928921

The speech analysis approach to determining onset of improvement under antidepressants.

H H Stassen1, S Kuny, D Hell.   

Abstract

In a study of 43 hospitalized depressive patients we investigated the course of recovery at a dense time resolution throughout the first two weeks of treatment. In addition to the assessment of the patients' psychopathology on the basis of HAMD and AMDP rating scales, speech recordings were carried out for each patient immediately before the psychiatric exploration. Our analyses yielded no evidence for a delayed onset of action of antidepressants. Onset of improvement occurred in the great majority of patients (79.1%) within the first 12 days of study, independently of the severity of depression at baseline. Early improvement was highly predictive of later outcome and could not be attributed to a few items, as score reductions were observed for virtually all HAMD items at very early stages of recovery. The analysis of the patients' speaking behavior and voice sound characteristics yielded in 62.8% of cases an essentially parallel development over time for the HAMD scores on the one hand, and acoustic variables on the other. In consequence, early improvement appears to have a biological background and is unlikely to be mainly attributable to the expectations of doctors and patients.

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Year:  1998        PMID: 9928921     DOI: 10.1016/s0924-977x(97)00090-4

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  7 in total

1.  Remote capture of human voice acoustical data by telephone: a methods study.

Authors:  Michael S Cannizzaro; Nicole Reilly; James C Mundt; Peter J Snyder
Journal:  Clin Linguist Phon       Date:  2005-12       Impact factor: 1.346

2.  Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology.

Authors:  James C Mundt; Peter J Snyder; Michael S Cannizzaro; Kara Chappie; Dayna S Geralts
Journal:  J Neurolinguistics       Date:  2007-01       Impact factor: 1.710

3.  Vocal acoustic biomarkers of depression severity and treatment response.

Authors:  James C Mundt; Adam P Vogel; Douglas E Feltner; William R Lenderking
Journal:  Biol Psychiatry       Date:  2012-04-26       Impact factor: 13.382

Review 4.  Transcranial magnetic stimulation (TMS) of the human frontal cortex: implications for repetitive TMS treatment of depression.

Authors:  Tomás Paus; Jennifer Barrett
Journal:  J Psychiatry Neurosci       Date:  2004-07       Impact factor: 6.186

5.  Acoustic differences between healthy and depressed people: a cross-situation study.

Authors:  Jingying Wang; Lei Zhang; Tianli Liu; Wei Pan; Bin Hu; Tingshao Zhu
Journal:  BMC Psychiatry       Date:  2019-10-15       Impact factor: 3.630

6.  Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features.

Authors:  Haihua Jiang; Bin Hu; Zhenyu Liu; Gang Wang; Lan Zhang; Xiaoyu Li; Huanyu Kang
Journal:  Comput Math Methods Med       Date:  2018-09-24       Impact factor: 2.238

7.  Monitoring the effects of therapeutic interventions in depression through self-assessments.

Authors:  Ines Moragrega; René Bridler; Christine Mohr; Michela Possenti; Deborah Rochat; Judit Sanchez Parramon; Hans H Stassen
Journal:  Res Psychother       Date:  2021-12-20
  7 in total

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