Literature DB >> 16035125

Neuropsychological prediction of recovery in late-onset major depression.

Teodor Marcos1, Maria J Portella, Victor Navarro, Cristóbal Gastó, Lorena Rami, Luisa Lázaro, Manel Salamero.   

Abstract

OBJECTIVES: To assess antidepressant response in late-onset major depression in relation to neuropsychological domains: attention, memory and planning.
METHODS: A neuropsychological battery was administered in 30 medication-free patients with late-onset major depression, who were then included in a 12-week antidepressant treatment regimen within a 12-month follow-up period. Logistic regression was used to define a predictive model of recovery.
RESULTS: Eighteen patients were classed as remitters and seven as non-remitters. The 'indexrem' refers to the results of a logistic regression from verbal learning and planning and had a global predictive power of 84%.
CONCLUSIONS: Our study suggests that the balance between verbal learning (memory) and planning (executive function)-both related to the dorsolateral prefrontal cortex-could predicts recovery. (c) 2005 John Wiley & Sons, Ltd.

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Year:  2005        PMID: 16035125     DOI: 10.1002/gps.1363

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  6 in total

Review 1.  A Meta-Analysis of Executive Dysfunction and Antidepressant Treatment Response in Late-Life Depression.

Authors:  Monique A Pimontel; David Rindskopf; Bret R Rutherford; Patrick J Brown; Steven P Roose; Joel R Sneed
Journal:  Am J Geriatr Psychiatry       Date:  2015-05-21       Impact factor: 4.105

2.  Medial prefrontal cortex activity during memory encoding of pictures and its relation to symptomatic improvement after citalopram treatment in patients with major depression.

Authors:  Martin Roy; Philippe-Olivier Harvey; Marcelo T Berlim; Firoza Mamdani; Marie-Martine Beaulieu; Gustavo Turecki; Martin Lepage
Journal:  J Psychiatry Neurosci       Date:  2010-05       Impact factor: 6.186

3.  Neuropsychological characteristics as predictors of SSRI treatment response in depressed subjects.

Authors:  Marianne Gorlyn; John G Keilp; Michael F Grunebaum; Bonnie P Taylor; Maria A Oquendo; Gerard E Bruder; Jonathan W Stewart; Gil Zalsman; J John Mann
Journal:  J Neural Transm (Vienna)       Date:  2008-07-16       Impact factor: 3.575

4.  Frontal and limbic activation during inhibitory control predicts treatment response in major depressive disorder.

Authors:  Scott A Langenecker; Susan E Kennedy; Leslie M Guidotti; Emily M Briceno; Lawrence S Own; Thomas Hooven; Elizabeth A Young; Huda Akil; Douglas C Noll; Jon-Kar Zubieta
Journal:  Biol Psychiatry       Date:  2007-06-21       Impact factor: 13.382

5.  A Systematic Review of Cognitive Predictors of Treatment Outcome in Major Depression.

Authors:  Samantha J Groves; Katie M Douglas; Richard J Porter
Journal:  Front Psychiatry       Date:  2018-08-28       Impact factor: 4.157

6.  Predictors of response in the treatment of moderate depression.

Authors:  Andre G Bastos; Luciano S Guimarães; Clarissa M Trentini
Journal:  Braz J Psychiatry       Date:  2016-11-24       Impact factor: 2.697

  6 in total

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