Barch, DM, Carter, CS, Gold, JM, Johnson, SL, Kring, AM, MacDonald, AW III, Pizzagalli, DA, Ragland, JD, Silverstein, SM and Strauss, ME (2017) Explicit and implicit reinforcement learning across the psychosis spectrum. Journal of Abnormal Psychology 126, 694–711.
Bates, D, Mächler, M, Bolker, BM and Walker, SC (2014) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67, 1–48.
Beste, C, Adelhöfer, N, Gohil, K, Passow, S, Roessner, V and Li, SC (2018) Dopamine modulates the efficiency of sensory evidence accumulation during perceptual decision making. International Journal of Neuropsychopharmacology 21, 649–655.
Biringer, E, Mykletun, A, Sundet, K, Kroken, R, Stordal, KI and Lund, A (2007) A longitudinal analysis of neurocognitive function in unipolar depression. Journal of Clinical and Experimental Neuropsychology 29, 879–891.
Burt, DB, Zembar, MJ and Niederehe, G (1995) Depression and memory impairment: a meta-analysis of the association, its pattern, and specificity. Psychological Bulletin 117, 285–305.
Der-Avakian, A, D'souza, MS, Pizzagalli, DA and Markou, A (2013) Assessment of reward responsiveness in the response bias probabilistic reward task in rats: implications for cross-species translational research. Translational Psychiatry 3, e297.
Dillon, DG, Dobbins, IG and Pizzagalli, DA (2013) Weak reward source memory in depression reflects blunted activation of VTA/SN and parahippocampus. Social Cognitive and Affective Neuroscience 9, 1576–1583.
Douglas, KM and Porter, RJ (2009) Longitudinal assessment of neuropsychological function in major depression. Australian and New Zealand Journal of Psychiatry 43, 1105–1117.
First, MB, Spitzer, RL, Gibbon, M and Williams, JBW (2002) Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Patient Edition. New York: (SCID-I/P) Biometrics Research, New York State Psychiatric Institute.
Frank, MJ, Gagne, C, Nyhus, E, Masters, S, Wiecki, TV, Cavanagh, JF and Badre, D (2015) fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning. Journal of Neuroscience 35, 485–494.
Gold, JI and Shadlen, MN (2007) The neural basis of decision making. Annual Review of Neuroscience 30, 535–574.
Hamilton, M (1960) A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry 23, 56–62.
Jiang, J, Zhao, YJ, Hu, XY, Du, MY, Chen, ZQ, Wu, M, Li, KM, Zhu, HY, Kumar, P and Gong, QY (2017) Microstructural brain abnormalities in medication-free patients with major depressive disorder: a systematic review and meta-analysis of diffusion tensor imaging. Journal of Psychiatry & Neuroscience 42, 150–163.
Kluyver, T, Ragan-Kelley, B, Pérez, F, Granger, BE, Bussonnier, M, Frederic, J, Kelley, K, Hamrick, JB, Grout, J, Corlay, S and Ivanov, P (2016) Jupyter notebooks-a publishing format for reproducible computational workflows. In Loizides, F and Schmidt, B (eds) Positioning and Power in Academic Publishing: Players, Agents and Agendas. IOS Press: Amsterdam, pp. 87–90.
Krajbich, I, Lu, D, Camerer, C and Rangel, A (2012) The attentional drift-diffusion model extends to simple purchasing decisions. Frontiers in Psychology 3, 193.
Kruschke, J (2014) Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan. Oxford: Elsevier Science.
Levinson, AR, Speed, BC, Infantolino, ZP and Hajcak, G (2017) Reliability of the electrocortical response to gains and losses in the doors task. Psychophysiology 54, 601–607.
Liu, WH, Roiser, JP, Wang, LZ, Zhu, YH, Huang, J, Neumann, DL, Shum, DH, Cheung, EF and Chan, RC (2016) Anhedonia is associated with blunted reward sensitivity in first-degree relatives of patients with major depression. Journal of Affective Disorders 190, 640–648.
Luking, KR, Nelson, BD, Infantolino, ZP, Sauder, CL and Hajcak, G (2017) Internal consistency of functional magnetic resonance imaging and electroencephalography measures of reward in late childhood and early adolescence. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2, 289–297.
MacQueen, GM, Campbell, S, McEwen, BS, Macdonald, K, Amano, S, Joffe, RT, Nahmias, C, Young, LT (2003) Course of illness, hippocampal function, and hippocampal volume in major depression. Proceedings of the National Academy of Sciences, USA 100, 1387–1392.
Madden, DJ, Spaniol, J, Costello, MC, Bucur, B, White, LE, Cabeza, R, Davis, SW, Dennis, NA, Provenzale, JM and Huettel, SA (2008) Cerebral white matter integrity mediates adult age differences in cognitive performance. Journal of Cognitive Neuroscience 21, 289–302.
Pizzagalli, DA, Jahn, AL and O'Shea, JP (2005) Toward an objective characterization of an anhedonic phenotype: a signal-detection approach. Biological Psychiatry 57, 319–327.
Pizzagalli, DA, Iosifescu, D, Hallett, LA, Ratner, KG and Fava, M (2008) Reduced hedonic capacity in major depressive disorder: evidence from a probabilistic reward task. Journal of Psychiatric Research 43, 76–87.
Ratcliff, R (1978) A theory of memory retrieval. Psychological Review 85, 59–108.
Ratcliff, R and McKoon, G (2008) The diffusion decision model: theory and data for two-choice decision tasks. Neural Computation 20, 873–922.
Ratcliff, R and Rouder, JN (1998) Modeling response times for two-choice decisions. Psychological Science 9, 347–356.
Ratcliff, R and Smith, PL (2004) A comparison of sequential sampling models for two-choice reaction time. Psychological Review 111, 333–367.
R Core Team (2018) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. (http://www.R-project.org/).
Rock, PL, Roiser, JP, Riedel, WJ and Blackwell, AD (2014) Cognitive impairment in depression: a systematic review and meta-analysis. Psychological Medicine 44, 2029–2040.
Shadlen, MN and Kiani, R (2013) Decision making as a window on cognition. Neuron 80, 791–806.
Singmann, H, Bolker, B, Westfall, J, Aust, F, Højsgaard, S, Fox, J, Lawrence, MA, Mertens, U and Love, J (2016) afex: analysis of factorial experiments. R package version 0.16-1.
Snyder, HR (2013) Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. Psychological Bulletin 139, 81–132.
Thapar, A, Ratcliff, R and McKoon, G (2003) A diffusion model analysis of the effects of aging on letter discrimination. Psychology and Aging 18, 415–429.
Treadway, MT and Zald, DH (2011) Reconsidering anhedonia in depression: lessons from translational neuroscience. Neuroscience & Biobehavioral Reviews 35, 537–555.
Trivedi, MH, McGrath, PJ, Fava, M, Parsey, RV, Kurian, BT, Phillips, ML, Oquendo, MA, Bruder, G, Pizzagalli, D, Toups, M and Cooper, C (2016) Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): rationale and design. Journal of Psychiatric Research 78, 11–23.
Vrieze, E, Pizzagalli, DA, Demyttenaere, K, Hompes, T, Sienaert, P, de Boer, P, Schmidt, M and Claes, S (2013) Reduced reward learning predicts outcome in major depressive disorder. Biological Psychiatry 73, 639–645.
Watson, D, Weber, K, Assenheimer, JS, Clark, LA, Strauss, ME and McCormick, RA (1995) Testing a tripartite model: i. Evaluating the convergent and discriminant validity of anxiety and depression symptom scales. Journal of Abnormal Psychology 104, 3–14.
White, CN and Poldrack, RA (2014) Decomposing bias in different types of simple decisions. Journal of Experimental Psychology: Learning, Memory, and Cognition 40, 385–398.
White, C, Ratcliff, R, Vasey, M and McKoon, G (2009) Dysphoria and memory for emotional material: a diffusion-model analysis. Cognition and Emotion 23, 181–205.
White, CN, Ratcliff, R, Vasey, MW and McKoon, G (2010) Using diffusion models to understand clinical disorders. Journal of Mathematical Psychology 54, 39–52.
Wiecki, TV, Sofer, I and Frank, MJ (2013) HDDM: hierarchical Bayesian estimation of the drift-diffusion model in python. Frontiers in Neuroinformatics 7, 14.
Zakzanis, KK, Leach, L and Kaplan, E (1998) On the nature and pattern of neurocognitive function in major depressive disorder. Neuropsychiatry, Neuropsychology, & Behavioral Neurology 11, 111–119.
Zimmerman, M, Martinez, JH, Young, D, Chelminski, I and Dalrymple, K (2013) Severity classification on the Hamilton depression rating scale. Journal of Affective Disorders 150, 384–388.