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Approach and avoidance learning in patients with major depression and healthy controls: relation to anhedonia

Published online by Cambridge University Press:  17 July 2009

H. W. Chase ,
M. J. Frank ,
A. Michael ,
E. T. Bullmore ,
B. J. Sahakian  and
T. W. Robbins
H. W. Chase*
Affiliation:
Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK Department of Experimental Psychology, University of Cambridge, UK
M. J. Frank
Affiliation:
Departments of Cognitive & Linguistic Sciences, Psychology, and Psychiatry and Human Behavior, Brown University, RI, USA
A. Michael
Affiliation:
West Suffolk Hospital, Bury St Edmunds, UK
E. T. Bullmore
Affiliation:
Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK Brain Mapping Unit, University of Cambridge, Department of Psychiatry, Addenbrooke's Hospital, Cambridge, UK
B. J. Sahakian
Affiliation:
Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK Department of Psychiatry, University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
T. W. Robbins
Affiliation:
Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK Department of Experimental Psychology, University of Cambridge, UK
*
*Address for correspondence: Dr H. W. Chase, School of Psychology, University Park, University of Nottingham, NottinghamNG7 2RD, UK. (Email: [email protected])
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Abstract

Background

Central to understanding of the behavioural consequences of depression has been the theory that the disorder is accompanied by an increased sensitivity to negative compared with positive reinforcement (negative bias), whereas other theorists have emphasized a global reduction in sensitivity to reinforcement in depression (blunting).

Method

In this study, we used a probabilistic selection task that was designed to examine independently rates of learning to predict both positive and negative reinforcement. Twenty-three depressed out-patients and 23 healthy controls from the local population participated in the study.

Results

No evidence for a negative bias was observed on the task, either during acquisition of the task or during generalization of the learned information. Depressed patients responded slower on the task than controls but showed a similar modulation of reaction times (RTs) as controls following reinforcement. Evidence for blunting was observed on the training phase, as reflected in reduced trial-by-trial adjustment during this phase. However, this effect was related specifically to the severity of anhedonia, as measured by the Snaith–Hamilton Pleasure Scale (SHAPS), and was independent of overall depression severity.

Conclusions

We argue that the observation of a negative bias or blunting in a group of depressed patients may be dependent on the neuropsychological task and the symptoms of the patients tested. Our results provide insight into how these theories might be further tested.

Keywords

Anhedoniaassociativedepressionreinforcement learning
Type
Original Articles
Information
Psychological Medicine , Volume 40 , Issue 3 , March 2010 , pp. 433 - 440
Copyright
Copyright © Cambridge University Press 2009

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References

Azorin, JM, Benhaim, P, Hasbroucq, T, Possamai, CA (1995). Stimulus preprocessing and response selection in depression: a reaction time study. Acta Psychologica 89, 95–100.CrossRefGoogle ScholarPubMed
Beats, BC, Sahakian, BJ, Levy, R (1996). Cognitive performance in tests sensitive to frontal lobe dysfunction in the elderly depressed. Psychological Medicine 26, 591–603.CrossRefGoogle ScholarPubMed
Beck, AT (1967). Depression: Clinical, Experimental, and Theoretical Aspects. Harper & Row: New York.Google Scholar
Black, KJ, Hershey, T, Hartlein, JM, Carl, JL, Perlmutter, JS (2005). Levodopa challenge neuroimaging of levodopa-related mood fluctuations in Parkinson's disease. Neuropsychopharmacology 30, 590–601.CrossRefGoogle ScholarPubMed
Chamberlain, SR, Muller, U, Blackwell, AD, Clark, L, Robbins, TW, Sahakian, BJ (2006). Neurochemical modulation of response inhibition and probabilistic learning in humans. Science 311, 861–863.CrossRefGoogle ScholarPubMed
Chiu, PH, Deldin, PJ (2007). Neural evidence for enhanced error detection in major depressive disorder. American Journal of Psychiatry 164, 608–616.CrossRefGoogle ScholarPubMed
Cools, R, Altamirano, L, D'Esposito, M (2006). Reversal learning in Parkinson's disease depends on medication status and outcome valence. Neuropsychologia 44, 1663–1673.CrossRefGoogle ScholarPubMed
Cools, R, Barker, RA, Sahakian, BJ, Robbins, TW (2001). Enhanced or impaired cognitive function in Parkinson's disease as a function of dopaminergic medication and task demands. Cerebral Cortex 11, 1136–1143.CrossRefGoogle ScholarPubMed
Costello, CG (1972). Depression: a loss of reinforcement or loss of reinforcer effectiveness? Behavior Therapy 3, 240–247.CrossRefGoogle Scholar
Elliott, R, Sahakian, BJ, Herrod, JJ, Robbins, TW, Paykel, ES (1997). Abnormal response to negative feedback in unipolar depression: evidence for a diagnosis specific impairment. Journal of Neurology, Neurosurgery and Psychiatry 63, 74–82.CrossRefGoogle ScholarPubMed
Elliott, R, Sahakian, BJ, Michael, A, Paykel, ES, Dolan, RJ (1998). Abnormal neural response to feedback on planning and guessing tasks in patients with unipolar depression. Psychological Medicine 28, 559–571.CrossRefGoogle ScholarPubMed
Frank, MJ (2005). Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism. Journal of Cognitive Neuroscience 17, 51–72.CrossRefGoogle ScholarPubMed
Frank, MJ, Moustafa, AA, Haughey, HM, Curran, T, Hutchison, KE (2007). Genetic triple dissociation reveals multiple roles for dopamine in reinforcement learning. Proceedings of the National Academy of Sciences USA 104, 16311–16316.CrossRefGoogle ScholarPubMed
Frank, MJ, Seeberger, LC, O'Reilly, RC (2004). By carrot or by stick: cognitive reinforcement learning in parkinsonism. Science 306, 1940–1943.CrossRefGoogle ScholarPubMed
Henriques, JB, Glowacki, JM, Davidson, RJ (1994). Reward fails to alter response bias in depression. Journal of Abnormal Psychology 103, 460–466.CrossRefGoogle ScholarPubMed
Holroyd, CB, Coles, MG (2002). The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. Psychological Review 109, 679–709.CrossRefGoogle ScholarPubMed
Kumar, P, Waiter, G, Ahearn, T, Milders, M, Reid, I, Steele, JD (2008). Abnormal temporal difference reward-learning signals in major depression. Brain 131, 2084–2093.CrossRefGoogle ScholarPubMed
Leventhal, AM, Chasson, GS, Tapia, E, Miller, EK, Pettit, JW (2006). Measuring hedonic capacity in depression: a psychometric analysis of three anhedonia scales. Journal of Clinical Psychology 62, 1545–1558.CrossRefGoogle ScholarPubMed
Lloyd, GG, Lishman, WA (1975). Effect of depression on the speed of recall of pleasant and unpleasant experiences. Psychological Medicine 5, 173–180.CrossRefGoogle ScholarPubMed
Luu, P, Collins, P, Tucker, DM (2000). Mood, personality, and self-monitoring: negative affect and emotionality in relation to frontal lobe mechanisms of error monitoring. Journal of Experimental Psychology: General 129, 43–60.CrossRefGoogle ScholarPubMed
Murphy, FC, Michael, A, Robbins, TW, Sahakian, BJ (2003). Neuropsychological impairment in patients with major depressive disorder: the effects of feedback on task performance. Psychological Medicine 33, 455–467.CrossRefGoogle ScholarPubMed
Nelson, RE, Craighead, WE (1977). Selective recall of positive and negative feedback, self-control behaviors, and depression. Journal of Abnormal Psychology 86, 379–388.CrossRefGoogle ScholarPubMed
Nelson, H, Willison, J (1991). National Adult Reading Test (NART) Test Manual. NFER-Nelson: Windsor, UK.Google Scholar
Nestler, EJ, Carlezon, WA Jr. (2006). The mesolimbic dopamine reward circuit in depression. Biological Psychiatry 59, 1151–1159.CrossRefGoogle ScholarPubMed
Pizzagalli, DA, Jahn, AL, O'Shea, JP (2005). Toward an objective characterization of an anhedonic phenotype: a signal-detection approach. Biological Psychiatry 57, 319–327.CrossRefGoogle ScholarPubMed
Steele, JD, Kumar, P, Ebmeier, KP (2007). Blunted response to feedback information in depressive illness. Brain 130, 2367–2374.CrossRefGoogle ScholarPubMed
Swainson, R, Rogers, RD, Sahakian, BJ, Summers, BA, Polkey, CE, Robbins, TW (2000). Probabilistic learning and reversal deficits in patients with Parkinson's disease or frontal or temporal lobe lesions: possible adverse effects of dopaminergic medication. Neuropsychologia 38, 596–612.CrossRefGoogle ScholarPubMed
Taylor Tavares, JV, Clark, L, Furey, ML, Williams, GB, Sahakian, BJ, Drevets, WC (2008). Neural basis of abnormal response to negative feedback in unmedicated mood disorders. Neuroimage 42, 1118–1126.CrossRefGoogle ScholarPubMed
Tremblay, LK, Naranjo, CA, Cardenas, L, Herrmann, N, Busto, UE (2002). Probing brain reward system function in major depressive disorder: altered response to dextroamphetamine. Archives of General Psychiatry 59, 409–416.CrossRefGoogle ScholarPubMed
Tremblay, LK, Naranjo, CA, Graham, SJ, Herrmann, N, Mayberg, HS, Hevenor, S, Busto, UE (2005). Functional neuroanatomical substrates of altered reward processing in major depressive disorder revealed by a dopaminergic probe. Archives of General Psychiatry 62, 1228–1236.CrossRefGoogle ScholarPubMed
Watson, D, Clark, LA, Carey, G (1988). Positive and negative affectivity and their relation to anxiety and depressive disorders. Journal of Abnormal Psychology 97, 346–353.CrossRefGoogle ScholarPubMed
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