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Early change in reward and punishment sensitivity as a predictor of response to antidepressant treatment for major depressive disorder: a CAN-BIND-1 report

Published online by Cambridge University Press:  17 September 2018

Timothy A. Allen Open the ORCID record for Timothy A. Allen [Opens in a new window] ,
Raymond W. Lam ,
Roumen Milev ,
Sakina J. Rizvi ,
Benicio N. Frey ,
Glenda M. MacQueen ,
Daniel J. Müller ,
Rudolf Uher ,
Sidney H. Kennedy  and
Lena C. Quilty
Timothy A. Allen*
Affiliation:
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
Raymond W. Lam
Affiliation:
Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
Roumen Milev
Affiliation:
Departments of Psychiatry and Psychology, Queen's University, Kingston, ON, Canada
Sakina J. Rizvi
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Li Ka-Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
Benicio N. Frey
Affiliation:
Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada
Glenda M. MacQueen
Affiliation:
Department of Psychiatry, University of Calgary, Calgary, AB, Canada
Daniel J. Müller
Affiliation:
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada Department of Psychiatry, University of Toronto, Toronto, ON, Canada
Rudolf Uher
Affiliation:
Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
Sidney H. Kennedy
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, ON, Canada Li Ka-Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
Lena C. Quilty
Affiliation:
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada Department of Psychiatry, University of Toronto, Toronto, ON, Canada
*
Author for correspondence: Timothy A. Allen, E-mail: timothy.allen@camh.ca
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Abstract

Background

In an effort to optimize patient outcomes, considerable attention is being devoted to identifying patient characteristics associated with major depressive disorder (MDD) and its responsiveness to treatment. In the current study, we extend this work by evaluating whether early change in these sensitivities is associated with response to antidepressant treatment for MDD.

Methods

Participants included 210 patients with MDD who were treated with 8 weeks of escitalopram and 112 healthy comparison participants. Of the original 210 patients, 90 non-responders received adjunctive aripiprazole for an additional 8 weeks. Symptoms of depression and anhedonia were assessed at the beginning of treatment and 8 weeks later in both samples. Reward and punishment sensitivity were assessed using the BIS/BAS scales measured at the initiation of treatment and 2 weeks later.

Results

Individuals with MDD exhibited higher punishment sensitivity and lower reward sensitivity compared with healthy comparison participants. Change in reward sensitivity during the first 2 weeks of treatment was associated with improved depressive symptoms and anhedonia following 8 weeks of treatment with escitalopram. Similarly, improvement in reward responsiveness during the first 2 weeks of adjunctive therapy with aripiprazole was associated with fewer symptoms of depression at post-treatment.

Conclusions

Findings highlight the predictive utility of early change in reward sensitivity during antidepressant treatment for major depression. In a clinical setting, a lack of change in early reward processing may signal a need to modify a patient's treatment plan with alternative or augmented treatment approaches.

Keywords

Antidepressant treatmentdepressionmotivationpunishmentreward
Type
Original Articles
Information
Psychological Medicine , Volume 49 , Issue 10 , July 2019 , pp. 1629 - 1638
Copyright
Copyright © Cambridge University Press 2018 

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References

Allen, TA and DeYoung, CG (2017) Personality neuroscience and the five factor model. In Widiger, TA (ed.), Oxford Handbook of the Five Factor Model. New York: Oxford University Press, pp. 319–349.Google Scholar
Allen, TA, Carey, BE, McBride, C, Bagby, RM, DeYoung, CG and Quilty, LC (2017) Big five aspects of personality interact to predict depression. Journal of Personality 86, 714–725.Google Scholar
American Psychiatric Association (2000) Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. Arlington, VA: APA.Google Scholar
Bagby, RM, Quilty, LC, Segal, ZV, McBride, CC, Kennedy, SH and Costa, PT Jr (2008) Personality and differential treatment response in major depression: a randomized controlled trial comparing cognitive-behavioural therapy and pharmacotherapy. The Canadian Journal of Psychiatry 53, 361–370.Google Scholar
Berridge, KC, Robinson, TE and Aldridge, JW (2009) Dissecting components of reward: ‘Liking’, ‘wanting’, and learning. Current Opinion in Pharmacology 9, 65–73.Google Scholar
Bijttebier, P, Beck, I, Claes, L and Vandereycken, W (2009) Gray's Reinforcement Sensitivity Theory as a framework for research on personality–psychopathology associations. Clinical Psychology Review 29, 421–430.Google Scholar
Blier, P and Blondeau, C (2011) Neurobiological bases and clinical aspects of the use of aripiprazole in treatment-resistant major depressive disorder. Journal of Affective Disorders 128, S3–S10.Google Scholar
Carver, CS and White, TL (1994) Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: the BIS/BAS Scales. Journal of Personality and Social Psychology 67, 319–333.Google Scholar
Clark, LA and Watson, D (1991) Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. Journal of Abnormal Psychology 100, 316–336.Google Scholar
Depue, RA and Iacono, WG (1989) Neurobehavioral aspects of affective disorders. Annual Review of Psychology 40, 457–492.Google Scholar
DeYoung, CG (2013) The neuromodulator of exploration: a unifying theory of the role of dopamine in personality. Frontiers in Human Neuroscience 7, 762.Google Scholar
DeYoung, CG, Grazioplene, RG and Allen, TA (in press) The neurobiology of personality. In John, OP and Robins, RW (eds), Handbook of Personality: Theory and Research, 4 Edn. New York: Guilford Press.Google Scholar
Dunlop, BW and Nemeroff, CB (2007) The role of dopamine in the pathophysiology of depression. Archives of General Psychiatry 64, 327–337.Google Scholar
Fonseka, TM, MacQueen, GM and Kennedy, SH (2017) Neuroimaging biomarkers as predictors of treatment outcome in major depressive disorder. Journal of Affective Disorders.Google Scholar
Gorwood, P, Vaiva, G, Corruble, E, Llorca, PM, Baylé, FJ and Courtet, P (2015) The ability of early changes in motivation to predict later antidepressant treatment response. Neuropsychiatric Disease and Treatment 11, 2875–2882.Google Scholar
Gray, JA (1982) The Neuropsychology of Anxiety: An Inquiry Into the Functions of the Septo-Hippocampal System. New York: Oxford University Press.Google Scholar
Gray, JA and McNaughton, N (2000) The Neuropsychology of Anxiety: An Enquiry Into the Function of the Septo-Hippocampal System. New York: Oxford University Press.Google Scholar
Ilieva, I (2015) Enhancement of healthy personality through psychiatric medication: the influence of SSRIs on neuroticism and extraversion. Neuroethics 8, 127–137.Google Scholar
Jha, MK, Greer, TL, Grannemann, BD, Carmody, T, Rush, AJ and Trivedi, MH (2016 a) Early normalization of Quality of Life predicts later remission in depression: findings from the CO-MED trial. Journal of Affective Disorders 206, 17–22.Google Scholar
Jha, MK, Minhajuddin, A, Greer, TL, Carmody, T, Rush, AJ and Trivedi, MH (2016 b) Early improvement in work productivity predicts future clinical course in depressed outpatients: findings from the CO-MED trial. American Journal of Psychiatry 173, 1196–1204.Google Scholar
Jha, MK, Minhajuddin, A, Gadad, BS, Greer, T, Grannemann, B, Soyombo, A, Mayes, TL, Rush, AJ and Trivedi, MH (2017 a) Can C-reactive protein inform antidepressant medication selection in depressed outpatients? Findings from the CO-MED trial. Psychoneuroendocrinology 78, 105–113.Google Scholar
Jha, MK, Teer, RB, Minhajuddin, A, Greer, TL, Rush, AJ and Trivedi, MH (2017 b) Daily activity level improvement with antidepressant medications predicts long-term clinical outcomes in outpatients with major depressive disorder. Neuropsychiatric Disease and Treatment 13, 803–813.Google Scholar
Kasch, KL, Rottenberg, J, Arnow, BA and Gotlib, IH (2002) Behavioral activation and inhibition systems and the severity and course of depression. Journal of Abnormal Psychology 111, 589–597.Google Scholar
Kennedy, SH, Lam, RW, McIntyre, RS, Tourjman, SV, Bhat, V, Blier, P, Hasnain, M, Jollant, F, Levitt, AJ, MacQueen, GM and McInerney, SJ (2016) Canadian network for Mood and Anxiety Treatments (CANMAT) 2016 clinical guidelines for the management of major depressive disorder in adults: section 3. Pharmacological treatments. The Canadian Journal of Psychiatry 61, 540–560.Google Scholar
Kennedy, SH, Lam, RW, Rotzinger, S, Milev, R, Blier, P, Downar, J, Evans, KR, Farzan, F, Foster, JA, Frey, BN, Giacobbe, P, Hall, GB, Harkness, KL, Hassel, S, Ismail, Z, Leri, F, McInerney, S, MacQueen, GM, Minuzzi, L, Müller, DJ, Parikh, SV, Placenza, FM, Quilty, LC, Ravindran, AV, Sassi, RB, Soares, CN, Strother, SC, Turecki, G, Vaccarino, AL, Vila-Rodriguez, F, Yu, J, Uher, R, on behalf of the CAN-BIND Investigator Team (in press) Symptomatic and functional outcomes and early prediction of response to escitalopram monotherapy and sequential adjunctive aripiprazole therapy in patients with major depressive disorder: A CAN-BIND-1 report. Journal of Clinical Psychiatry.Google Scholar
Kotov, R, Gamez, W, Schmidt, F and Watson, D (2010) Linking ‘big’ personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological Bulletin 136, 768–821.Google Scholar
Lam, RW, Milev, R, Rotzinger, S, Andreazza, AC, Blier, P, Brenner, C, Daskalakis, ZJ, Dharsee, M, Downar, J, Evans, KR, Farzan, F, Foster, JA, Frey, BN, Geraci, J, Giacobbe, P, Feilotter, HE, Hall, GB, Harkness, KL, Hassel, S, Ismail, Z, Leri, F, Liotti, M, MacQueen, G, McAndrews, M, Minuzzi, L, Müller, DJ, Parikh, SV, Placenza, FM, Quilty, LC, Ravindran, AV, Salomons, TV, Soares, CN, Strother, SC, Turecki, G, Vaccarino, AL, Vila-Rodriguez, F and Kennedy, SH (2016) Discovering biomarkers for antidepressant response: protocol from the Canadian Biomarker Integration Network in Depression (CAN-BIND) and clinical characteristics of the first patient cohort. BMC Psychiatry 16, 105.Google Scholar
Leuchter, AF, Cook, IA, Marangell, LB, Gilmer, WS, Burgoyne, KS, Howland, RH, Trivedi, MH, Zisook, S, Jain, R, McCracken, JT and Fava, M (2009) Comparative effectiveness of biomarkers and clinical indicators for predicting outcomes of SSRI treatment in Major Depressive Disorder: results of the BRITE-MD study. Psychiatry Research 169, 124–131.Google Scholar
McFarland, BR, Shankman, SA, Tenke, CE, Bruder, GE and Klein, DN (2006) Behavioral activation system deficits predict the six-month course of depression. Journal of Affective Disorders 91, 229–234.Google Scholar
Montgomery, SA and Åsberg, M (1979) A new depression scale designed to be sensitive to change. The British Journal of Psychiatry 134, 382–389.Google Scholar
Muthén, LK and Muthén, BO (1998–2011) Mplus User's Guide, 6th Edn. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nanni, V, Uher, R and Danese, A (2012) Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. American Journal of Psychiatry 169, 141–151.Google Scholar
Peciña, S, Smith, KS and Berridge, KC (2006) Hedonic hot spots in the brain. The Neuroscientist 12, 500–511.Google Scholar
Pinto-Meza, A, Caseras, X, Soler, J, Puigdemont, D, Pérez, V and Torrubia, R (2006) Behavioural inhibition and behavioural activation systems in current and recovered major depression participants. Personality and Individual Differences 40, 215–226.Google Scholar
Quilty, LC, De Fruyt, F, Rolland, JP, Kennedy, SH, Rouillon, PF and Bagby, RM (2008 a) Dimensional personality traits and treatment outcome in patients with major depressive disorder. Journal of Affective Disorders 108, 241–250.Google Scholar
Quilty, LC, Meusel, LAC and Bagby, RM (2008 b) Neuroticism as a mediator of treatment response to SSRIs in major depressive disorder. Journal of Affective Disorders 111, 67–73.Google Scholar
Quilty, LC, Mackew, L and Bagby, RM (2014 a) Distinct profiles of behavioral inhibition and activation system sensitivity in unipolar vs. bipolar mood disorders. Psychiatry Research 219, 228–231.Google Scholar
Quilty, LC, DeYoung, CG, Oakman, JM and Bagby, RM (2014 b) Extraversion and behavioral activation: integrating the components of approach. Journal of Personality Assessment 96, 87–94.Google Scholar
Rizvi, SJ, Quilty, LC, Sproule, BA, Cyriac, A, Bagby, RM and Kennedy, SH (2015) Development and validation of the Dimensional Anhedonia Rating Scale (DARS) in a community sample and individuals with major depression. Psychiatry Research 229, 109–119.Google Scholar
Roberts, BW, Luo, J, Briley, DA, Chow, PI, Su, R and Hill, PL (2017) A systematic review of personality trait change through intervention. Psychological Bulletin 143, 117–141.Google Scholar
Rush, AJ, Trivedi, MH, Ibrahim, HM, Carmody, TJ, Arnow, B, Klein, DN, Markowitz, JC, Ninan, PT, Kornstein, S, Manber, R and Thase, ME (2003) The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biological Psychiatry 54, 573–583.Google Scholar
Rush, AJ, Trivedi, MH, Wisniewski, SR, Nierenberg, AA, Stewart, JW, Warden, D, Niederehe, G, Thase, ME, Lavori, PW, Lebowitz, BD and McGrath, PJ (2006) Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR* D report. American Journal of Psychiatry 163, 1905–1917.Google Scholar
Sheehan, DV, Lecrubier, YS, Sheehan, KH, Amorim, PP, Janavs, J, Weiller, E, Hergueta, T, Baker, R and Dunbar, GC (1998) The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry 59, 22–33.Google Scholar
Snaith, RP, Hamilton, M, Morley, S, Humayan, A, Hargreaves, D and Trigwell, P (1995) A scale for the assessment of hedonic tone the Snaith-Hamilton Pleasure Scale. The British Journal of Psychiatry 167, 99–103.Google Scholar
Tang, TZ, DeRubeis, RJ, Hollon, SD, Amsterdam, J, Shelton, R and Schalet, B (2009) Personality change during depression treatment: a placebo-controlled trial. Archives of General Psychiatry 66, 1322–1330.Google Scholar
Trew, JL (2011) Exploring the roles of approach and avoidance in depression: an integrative model. Clinical Psychology Review 31, 1156–1168.Google Scholar
Trivedi, MH, Rush, AJ, Wisniewski, SR, Nierenberg, AA, Warden, D, Ritz, L, Norquist, G, Howland, RH, Lebowitz, B, McGrath, PJ and Shores-Wilson, K (2006) Evaluation of outcomes with citalopram for depression using measurement-based care in STAR* D: implications for clinical practice. American Journal of Psychiatry 163, 28–40.Google Scholar
Uher, R, Tansey, KE, Rietschel, M, Henigsberg, N, Maier, W, Mors, O, Hauser, J, Placentino, A, Souery, D, Farmer, A, Aitchison, KJ, Craig, I, McGuffin, P, Lewis, CM, Ising, M, Lucae, S, Binder, EB, Kloiber, S, Holsboer, F, Müller-Myhsok, B, Ripke, S, Hamilton, SP, Soundy, J, Laje, G, McMahon, FJ, Fava, M, Rush, AJ and Perlis, RH (2013) Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies. American Journal of Psychiatry 170, 207–217.Google Scholar
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