Literature DB >> 19219568

Early prediction of the effectiveness of antidepressants: inputs from an animal model.

Alexander Friedman1, Avia Merenlender, Elad Lax, Mordechay Rosenstein, Nachum Lubin, Gal Yadid.   

Abstract

Although depressive disorders affect approximately 5% of the population in developed countries each year, current antidepressants usually require several weeks to produce beneficial clinical effects and are only effective in about 55% of patients. Therefore, early prediction of the effectiveness of a particular antidepressant for a patient is important for effective pharmacological treatment of depression. In this study, we examined a new method, based on mathematical analyses, of exploratory behavior for predicting the effectiveness of particular antidepressants shortly after initiation of treatment. By using this method, we were able to predict the effectiveness of antidepressants 1-3 days after initiation of treatment in individual subjects.

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Year:  2009        PMID: 19219568     DOI: 10.1007/s12031-009-9176-9

Source DB:  PubMed          Journal:  J Mol Neurosci        ISSN: 0895-8696            Impact factor:   3.444


  12 in total

1.  Rapid onset of antidepressant activity with venlafaxine.

Authors:  Richard H Weisler; Susan van Meter
Journal:  J Clin Psychiatry       Date:  2002-06       Impact factor: 4.384

2.  Measurement of time-dependent changes in the irregularity of neural spiking.

Authors:  Ronnie M Davies; George L Gerstein; Stuart N Baker
Journal:  J Neurophysiol       Date:  2006-03-22       Impact factor: 2.714

3.  Variability of the mesolimbic neuronal activity in a rat model of depression.

Authors:  Alexander Friedman; Eliyahu Dremencov; Haggai Crown; Dino Levy; Matti Mintz; David H Overstreet; Gal Yadid
Journal:  Neuroreport       Date:  2005-04-04       Impact factor: 1.837

Review 4.  The Flinders Sensitive Line rat: a selectively bred putative animal model of depression.

Authors:  David H Overstreet; Elliot Friedman; Aleksander A Mathé; Gal Yadid
Journal:  Neurosci Biobehav Rev       Date:  2005-04-22       Impact factor: 8.989

Review 5.  Early onset of selective serotonin reuptake inhibitor antidepressant action: systematic review and meta-analysis.

Authors:  Matthew J Taylor; Nick Freemantle; John R Geddes; Zubin Bhagwagar
Journal:  Arch Gen Psychiatry       Date:  2006-11

6.  Decoding of dopaminergic mesolimbic activity and depressive behavior.

Authors:  Alexander Friedman; Ilana Deri; Yaakov Friedman; Eliyahu Dremencov; Sophia Goutkin; Elizabeth Kravchinsky; Matti Mintz; Dino Levi; David H Overstreet; Gal Yadid
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 3.444

7.  The onset of effect for escitalopram and its relevance for the clinical management of depression.

Authors:  Alan Wade; Henning Friis Andersen
Journal:  Curr Med Res Opin       Date:  2006-11       Impact factor: 2.580

Review 8.  The Flinders sensitive line rats: a genetic animal model of depression.

Authors:  D H Overstreet
Journal:  Neurosci Biobehav Rev       Date:  1993       Impact factor: 8.989

Review 9.  Modulation of dopamine transmission by 5HT2C and 5HT3 receptors: a role in the antidepressant response.

Authors:  Eliyahu Dremencov; Yifat Weizmann; Noa Kinor; Iris Gispan-Herman; Gal Yadid
Journal:  Curr Drug Targets       Date:  2006-02       Impact factor: 3.465

10.  Onset and early behavioral effects of pharmacologically different antidepressants and placebo in depression.

Authors:  Martin M Katz; Janet L Tekell; Charles L Bowden; Steve Brannan; John P Houston; Nancy Berman; Alan Frazer
Journal:  Neuropsychopharmacology       Date:  2004-03       Impact factor: 7.853

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  1 in total

1.  Monitoring of circadian rhythms of heart rate, locomotor activity, and temperature for diagnosis and evaluation of response to treatment in an animal model of depression.

Authors:  Alexander Friedman; Alena Shaldubina; Yakov Flaumenhaft; Abraham Weizman; Gal Yadid
Journal:  J Mol Neurosci       Date:  2010-09-02       Impact factor: 3.444

  1 in total

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