Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation

被引:63
作者
Berwian, Isabel M. [1 ,2 ,3 ]
Wenzel, Julia G. [4 ]
Collins, Anne G. E. [5 ]
Seifritz, Erich [3 ]
Stephan, Klaas E. [1 ,2 ,6 ,7 ]
Walter, Henrik [4 ]
Huys, Quentin J. M. [1 ,2 ,3 ,8 ,9 ]
机构
[1] Univ Zurich, Translat Neuromodeling Unit, Wilfriedstr 6, CH-8032 Zurich, Switzerland
[2] Swiss Fed Inst Technol Zurich, Wilfriedstr 6, CH-8032 Zurich, Switzerland
[3] Univ Zurich, Hosp Psychiat, Zurich, Switzerland
[4] Charite, Campus Charite Mitte, Berlin, Germany
[5] Univ Calif Berkeley, Dept Psychol, 3210 Tolman Hall, Berkeley, CA 94720 USA
[6] UCL, Wellcome Ctr Human Neuroimaging, London, England
[7] Max Planck Inst Metab Res, Cologne, Germany
[8] UCL, Div Psychiat, London, England
[9] UCL, Max Planck UCL Ctr Computat Psychiat & Ageing Res, London, England
基金
瑞士国家科学基金会;
关键词
DISORDER; PSYCHIATRY; COMPONENTS; ANHEDONIA; SYMPTOMS;
D O I
10.1001/jamapsychiatry.2019.4971
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
This prognostic study examines whether the decision to invest effort for rewards represents a persistent depression process after remission, predicts relapse after remission, or is affected by antidepressant discontinuation. Question Do decisions about trading effort for reward differentiate patients whose depression is in remission and who are still taking medication from controls, and are these decisions associated with relapse after stopping medication? Findings This prognostic study found that patients whose depression was in remission but who still took medication were more sensitive to effort. These patients took longer to make these decisions, which was predictive of the risk of relapse after stopping antidepressants. Meaning Even when their depression is in remission, patients taking antidepressant medications show characteristic differences in how they trade rewards for effort, and these differences might be a clinically useful predictor of relapse if medication is discontinued. Importance Nearly 1 in 3 patients with major depressive disorder who respond to antidepressants relapse within 6 months of treatment discontinuation. No predictors of relapse exist to guide clinical decision-making in this scenario. Objectives To establish whether the decision to invest effort for rewards represents a persistent depression process after remission, predicts relapse after remission, and is affected by antidepressant discontinuation. Design, Setting, and Participants This longitudinal randomized observational prognostic study in a Swiss and German university setting collected data from July 1, 2015, to January 31, 2019, from 66 healthy controls and 123 patients in remission from major depressive disorder in response to antidepressants prior to and after discontinuation. Study recruitment took place until January 2018. Exposure Discontinuation of antidepressants. Main Outcomes and Measures Relapse during the 6 months after discontinuation. Choice and decision times on a task requiring participants to choose how much effort to exert for various amounts of reward and the mechanisms identified through parameters of a computational model. Results A total of 123 patients (mean [SD] age, 34.5 [11.2] years; 94 women [76%]) and 66 healthy controls (mean [SD] age, 34.6 [11.0] years; 49 women [74%]) were recruited. In the main subsample, mean (SD) decision times were slower for patients (n = 74) compared with controls (n = 34) (1.77 [0.38] seconds vs 1.61 [0.37] seconds; Cohen d = 0.52; P = .02), particularly for those who later relapsed after discontinuation of antidepressants (n = 21) compared with those who did not relapse (n = 39) (1.95 [0.40] seconds vs 1.67 [0.34] seconds; Cohen d = 0.77; P < .001). This slower decision time predicted relapse (accuracy = 0.66; P = .007). Patients invested less effort than healthy controls for rewards (F-1,F-98 = 33.970; P < .001). Computational modeling identified a mean (SD) deviation from standard drift-diffusion models that was more prominent for patients than controls (patients, 0.67 [1.56]; controls, -0.71 [1.93]; Cohen d = 0.82; P < .001). Patients also showed higher mean (SD) effort sensitivity than controls (patients, 0.31 [0.92]; controls, -0.08 [1.03]; Cohen d = 0.51; P = .05). Relapsers differed from nonrelapsers in terms of the evidence required to make a decision for the low-effort choice (mean [SD]: relapsers, 1.36 [0.35]; nonrelapsers, 1.17 [0.26]; Cohen d = 0.65; P = .02). Group differences generally did not reach significance in the smaller replication sample (27 patients and 21 controls), but decision time prediction models from the main sample generalized to the replication sample (validation accuracy = 0.71; P = .03). Conclusions and Relevance This study found that the decision to invest effort was associated with prospective relapse risk after antidepressant discontinuation and may represent a persistent disease process in asymptomatic remitted major depressive disorder. Markers based on effort-related decision-making could potentially inform clinical decisions associated with antidepressant discontinuation.
引用
收藏
页码:513 / 522
页数:10
相关论文
共 47 条
[41]   When does depression become a disorder? Using recurrence rates to evaluate the validity of proposed changes in major depression diagnostic thresholds [J].
Wakefield, Jerome C. ;
Schmitz, Mark F. .
WORLD PSYCHIATRY, 2013, 12 (01) :44-52
[42]   Computational Psychiatry [J].
Wang, Xiao-Jing ;
Krystal, John H. .
NEURON, 2014, 84 (03) :638-654
[43]  
Wechsler D., 1955, Manual for the Wechsler Adult Intelligence Scale
[44]  
Wittchen HU, 1997, SCID: Structured Clinical Interview for DSM-IV
[45]  
Axis I and II
[46]  
World Medical Association, 2013, Declaration of Helsinki-Ethical Principles for Medical Research Involving Human Subjects, V310, P2191, DOI [10.1001/jama.2013.281053, DOI 10.1001/JAMA.2013.281053]
[47]   Motivational deficits in effort-based decision making in individuals with subsyndromal depression, first-episode and remitted depression patients [J].
Yang, Xin-Hua ;
Huang, Jia ;
Zhu, Cui-Ying ;
Wang, Ye-Fei ;
Cheung, Eric F. C. ;
Chan, Raymond C. K. ;
Xie, Guang-rong .
PSYCHIATRY RESEARCH, 2014, 220 (03) :874-882