Literature DB >> 12778836

Biological predictors of treatment response in affective illness.

Roy H Perlis1, Dan V Iosifescu, Perry F Renshaw.   

Abstract

Attempts to identify biological response predictors generally have met with limited success, particularly where the goal is to develop clinically useful indices. This article reviews the biological approaches to predicting treatment response, beginning with neuroendocrine studies and electroencephalogram analysis and concluding with structural and functional neuroimaging. The article describes the designs of typical studies to aid in interpreting their results and concludes by addressing some of the problems and limitations associated with these approaches and suggesting future directions for this research.

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Year:  2003        PMID: 12778836     DOI: 10.1016/s0193-953x(02)00112-0

Source DB:  PubMed          Journal:  Psychiatr Clin North Am        ISSN: 0193-953X


  4 in total

1.  Cytochrome P450 genotyping and antidepressants.

Authors:  Roy H Perlis
Journal:  BMJ       Date:  2007-04-14

Review 2.  Personalized medicine for depression: can we match patients with treatments?

Authors:  Gregory E Simon; Roy H Perlis
Journal:  Am J Psychiatry       Date:  2010-09-15       Impact factor: 18.112

3.  Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to levelling the playing field.

Authors:  Rajeev D S Raizada; Mark M Kishiyama
Journal:  Front Hum Neurosci       Date:  2010-02-05       Impact factor: 3.169

4.  A new paradigm for the prediction of antidepressant treatment response.

Authors:  Andrew F Leuchter; Ian A Cook; Aimee M Hunter; Alexander S Korb
Journal:  Dialogues Clin Neurosci       Date:  2009       Impact factor: 5.986

  4 in total

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