Early prediction of the effectiveness of antidepressants: Inputs from an animal model

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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)256-261
Number of pages6
JournalJournal of Molecular Neuroscience
Volume39
Issue number1-2
DOIs
StatePublished - Sep 2009

Bibliographical note

Funding Information:
Acknowledgements AF was supported by a President’s fellowship, Bar-llan University. This research reported in this article was completed as part of the first author Ph.D. dissertations.

Funding

Acknowledgements AF was supported by a President’s fellowship, Bar-llan University. This research reported in this article was completed as part of the first author Ph.D. dissertations.

FundersFunder number
Faculty of Exact Sciences, Bar-llan University

    Keywords

    • Antidepressants
    • Depression
    • Early onset

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