Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/110427
Title: Improving the prediction of treatment response in depression: Integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures
Authors: Kemp, A.H.
Gordon, E.
Rush, A.J. 
Williams, L.M.
Issue Date: 2008
Citation: Kemp, A.H.,Gordon, E.,Rush, A.J.,Williams, L.M. (2008). Improving the prediction of treatment response in depression: Integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. CNS Spectrums 13 (12) : 1066-1086. ScholarBank@NUS Repository.
Abstract: Antidepressants are important in the treatment of depression, and selective serotonin reuptake inhibitors are first-line pharmacologic options. However, only 50% to 70% of patients respond to first treatment and
Source Title: CNS Spectrums
URI: http://scholarbank.nus.edu.sg/handle/10635/110427
ISSN: 10928529
Appears in Collections:Staff Publications

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