title: Cognitive predictors of response to treatment for depression in multiple sclerosis.
abstract: Cognitive impairment, particularly in the domain of executive functioning, has been demonstrated to predict poorer antidepressant medication treatment response. In this investigation, neuropsychological functioning was evaluated as a predictor of depression treatment response among 59 patients with multiple sclerosis. Performance on a Stroop task accounted for 28.7% of the variance in poorer pharmacologic antidepressant treatment response, as compared to less than 1% of the variance in two psychotherapy conditions. These results provide preliminary evidence to suggest that performance on neuropsychological measures may predict antidepressant treatment response in multiple sclerosis.
authors.affiliation: Department of Medicine, University of California, CA, USA. laura.julian@ucsf.edu
authors.forename: Laura J
authors.initials: LJ
authors.lastname: Julian
authors.forename: David C
authors.initials: DC
authors.lastname: Mohr
mesh_terms: D000328:Adult; D000928:Antidepressive Agents / Q000627:therapeutic use; D003071:Cognition / Q000502:physiology*; D015928:Cognitive Behavioral Therapy; D003866:Depressive Disorder / Q000188:drug therapy / Q000209:etiology* / Q000628:therapy*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000150:complications* / Q000523:psychology*; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D011569:Psychiatric Status Rating Scales; D011615:Psychotherapy, Group
chemical_list: D000928:Antidepressive Agents