Literature DB >> 16517451

Using neuroimaging to predict treatment response in mood and anxiety disorders.

Karleyton C Evans1, Darin D Dougherty, Mark H Pollack, Scott L Rauch.   

Abstract

BACKGROUND: Functional neuroimaging has begun to show promise as a clinical tool in the prediction of treatment response in mood and anxiety disorders. Given the variance in patient responses to psychiatric treatments, the use of such predictive tools could be tremendously valuable, especially in situations where treatments carry substantial risks or costs.
METHODS: A literature search was conducted in December 2004 to identify published neuroimaging treatment prediction papers. "Neuroimaging," "treatment," and "depression or anxiety" were used as keywords. Studies of treatment prediction were complemented by studies of treatment effects to provide context.
RESULTS: Fifteen original published papers were identified as investigations of treatment prediction in mood and anxiety disorders. These studies have predominantly been conducted in patients with major depression (MDD) and obsessive-compulsive disorder (OCD). We review this literature and provide a discussion of design considerations in psychiatric neuroimaging studies of treatment response prediction.
CONCLUSIONS: The neuroimaging literature pertaining to treatment response prediction is largely limited to studies of MDD and OCD. While these initial reports are preliminary, the findings reviewed suggest that treatment outcome may be predicted by patterns of pre-treatment brain activity in psychiatric patients. However, the actual clinical utility of such tests remains to be shown.

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Year:  2006        PMID: 16517451     DOI: 10.1080/10401230500464661

Source DB:  PubMed          Journal:  Ann Clin Psychiatry        ISSN: 1040-1237            Impact factor:   1.567


  9 in total

1.  Serum brain-derived neurotrophic factor predicts responses to escitalopram in chronic posttraumatic stress disorder.

Authors:  William Berger; Akhil Mehra; Maryann Lenoci; Thomas J Metzler; Christian Otte; Gary Tarasovsky; Synthia H Mellon; Owen M Wolkowitz; Charles R Marmar; Thomas C Neylan
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2010-07-17       Impact factor: 5.067

2.  The Puzzle of Neuroimaging and Psychiatric Diagnosis: Technology and Nosology in an Evolving Discipline.

Authors:  Martha J Farah; Seth J Gillihan
Journal:  AJOB Neurosci       Date:  2012-10-08

3.  Amygdala subregions tied to SSRI and placebo response in patients with social anxiety disorder.

Authors:  Vanda Faria; Lieuwe Appel; Fredrik Åhs; Clas Linnman; Anna Pissiota; Örjan Frans; Massimo Bani; Paolo Bettica; Emilio M Pich; Eva Jacobsson; Kurt Wahlstedt; Mats Fredrikson; Tomas Furmark
Journal:  Neuropsychopharmacology       Date:  2012-05-23       Impact factor: 7.853

4.  A positron emission tomography study of the serotonergic system in relation to anxiety in depression.

Authors:  Zafer Iscan; Gopalkumar Rakesh; Samantha Rossano; Jie Yang; Mengru Zhang; Jeffrey Miller; Gregory M Sullivan; Priya Sharma; Matthew McClure; Maria A Oquendo; J John Mann; Ramin V Parsey; Christine DeLorenzo
Journal:  Eur Neuropsychopharmacol       Date:  2017-08-12       Impact factor: 4.600

5.  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

6.  Nucleus accumbens deep brain stimulation produces region-specific alterations in local field potential oscillations and evoked responses in vivo.

Authors:  Clinton B McCracken; Anthony A Grace
Journal:  J Neurosci       Date:  2009-04-22       Impact factor: 6.167

Review 7.  Pharmacotherapy of PTSD: premises, principles, and priorities.

Authors:  Lakshmi N Ravindran; Murray B Stein
Journal:  Brain Res       Date:  2009-03-28       Impact factor: 3.252

Review 8.  Prediction of treatment outcomes in psychiatry--where do we stand ?

Authors:  Francis J McMahon
Journal:  Dialogues Clin Neurosci       Date:  2014-12       Impact factor: 5.986

9.  Indicators to facilitate the early identification of patients with major depressive disorder in need of highly specialized care: A concept mapping study.

Authors:  F C W van Krugten; M Goorden; A J L M van Balkom; J Spijker; W B F Brouwer; L Hakkaart-van Roijen
Journal:  Depress Anxiety       Date:  2018-03-25       Impact factor: 6.505

  9 in total

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