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Predicting antidepressant response using early changes in cognition: A systematic review.

Authors :
Park, Caroline
Pan, Zihang
Brietzke, Elisa
Subramaniapillai, Mehala
Rosenblat, Joshua D.
Zuckerman, Hannah
Lee, Yena
Fus, Dominika
McIntyre, Roger S.
Source :
Behavioural Brain Research. Nov2018, Vol. 353, p154-160. 7p.
Publication Year :
2018

Abstract

Background Despite the widespread use of antidepressants in clinical practice, the current trial-and-error approach to medication selection contributes to treatment failure and underscores the need to identify reliable predictors of antidepressant response. Since changes in measures of cognition have been reported to occur early in treatment and prior to improvements in overall mood symptoms, the present review aims to determine whether early changes in measures of cognition can predict response in individuals with MDD. Methods A systematic review of studies evaluating early cognitive change as a predictor of later treatment response in MDD was conducted using PubMed/Medline, Embase and PsychINFO. Results A total of seven articles were identified. The available evidence suggests the early changes in cognition may predict treatment response in individuals with MDD. This was shown across antidepressant classes (i.e., SSRIs, SNRIs, NRIs, melatonergic antidepressants) and forms of therapy (i.e., pharmacotherapy, rTMS). The results depict an emerging trend towards early changes in facial emotion recognition (i.e., a hot cognitive process) as a predictor of treatment outcome. Limitations Our qualitative analysis reflects a very limited number of studies. Moreover, there was significant heterogeneity in the evaluation of cognition across studies. Future research should aim to parse out this heterogeneity by evaluating the relative predictive value of different measures of cognition. Conclusion The identification of reliable early treatment predictors of antidepressant response would be clinically significant, enabling clinicians to more accurately evaluate the efficacy of selected treatment avenues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01664328
Volume :
353
Database :
Academic Search Index
Journal :
Behavioural Brain Research
Publication Type :
Academic Journal
Accession number :
131129824
Full Text :
https://doi.org/10.1016/j.bbr.2018.07.011