Mind matters: placebo enhances reward learning in parkinson's disease

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ABSTRACT Expectations have a powerful influence on how we experience the world. Neurobiological and computational models of learning suggest that dopamine is crucial for shaping expectations


of reward and that expectations alone may influence dopamine levels. However, because expectations and reinforcers are typically manipulated together, the role of expectations _per se_ has


remained unclear. We separated these two factors using a placebo dopaminergic manipulation in individuals with Parkinson's disease. We combined a reward learning task with functional


magnetic resonance imaging to test how expectations of dopamine release modulate learning-related activity in the brain. We found that the mere expectation of dopamine release enhanced


reward learning and modulated learning-related signals in the striatum and the ventromedial prefrontal cortex. These effects were selective to learning from reward: neither medication nor


placebo had an effect on learning to avoid monetary loss. These findings suggest a neurobiological mechanism by which expectations shape learning and affect. Access through your institution


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Article  PubMed  Google Scholar  Download references ACKNOWLEDGEMENTS We thank neurologists P. Greene, R. Alcalay, L. Coté and the nursing staff of the Center for Parkinson's Disease


and Other Movement Disorders at Columbia University Presbyterian Hospital for help with patient recruitment and discussion of the findings, N. Johnston and B. Vail for help with data


collection, M. Sharp, K. Duncan, D. Sulzer, J. Weber and B. Doll for insightful discussion, and M. Pessiglione and G.E. Wimmer for helpful comments on an earlier version of the manuscript.


This study was supported by the Michael J. Fox Foundation and the US National Institutes of Health (R01MH076136). AUTHOR INFORMATION Author notes * Tor D Wager and Daphna Shohamy: These


authors contributed equally to this work. AUTHORS AND AFFILIATIONS * Psychology Department, Columbia University, New York, New York, USA Liane Schmidt, Erin Kendall Braun & Daphna


Shohamy * Psychology Department, University of Colorado at Boulder, Boulder, Colorado, USA Tor D Wager * Kavli Center for Brain Science, Columbia University, New York, New York, USA Daphna


Shohamy Authors * Liane Schmidt View author publications You can also search for this author inPubMed Google Scholar * Erin Kendall Braun View author publications You can also search for


this author inPubMed Google Scholar * Tor D Wager View author publications You can also search for this author inPubMed Google Scholar * Daphna Shohamy View author publications You can also


search for this author inPubMed Google Scholar CONTRIBUTIONS D.S. and T.D.W. planned the experiment. L.S., T.D.W. and D.S. developed the experimental design. L.S. and E.K.B. collected data.


L.S. analyzed data. D.S. and T.D.W. supervised and assisted in data analysis. L.S., E.K.B., T.D.W. and D.S. wrote the manuscript. CORRESPONDING AUTHORS Correspondence to Tor D Wager or


Daphna Shohamy. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing financial interests. INTEGRATED SUPPLEMENTARY INFORMATION SUPPLEMENTARY FIGURE 1 EXPERIMENTAL AND


TASK DESIGN. (A) Experimental design. Each patient was scanned 3 times: off drug, on placebo, and on drug. Off drug and placebo scan sessions were counterbalanced across patients (order 1: 8


patients; order 2: 10 patients). Scan sessions lasted for 1 h and were separated by a 1 h break. Placebo and dopaminergic medication were crushed into orange juice and administered 30 min


before the respective scan session. (B) Task structure. The outcome of a trial could be a gain of $10, nothing ($0), or a loss of $10. Two cue pairs, a gain and a loss cue pair, were


randomly intermixed. Within the gain cue pair, optimal choices led to a gain of $10 with a probability of.75 and to nothing ($0) with a probability of.25. Within the loss cue pair, optimal


choices led to nothing ($0) with a probability of.75 and to a loss of $10 with a probability of.25. SUPPLEMENTARY FIGURE 2 PARTIAL CORRELATIONS BETWEEN ON DRUG AND PLACEBO CONTROLLING FOR


THE EFFECTS OF OFF DRUG (_N_ = 18). Partial correlations between on drug and placebo controlling for effects of off drug for reward learning (left) (r = 0.34, p = 0.08) and motor symptoms


(right) (r = 0.59, p = 0.01). On drug and placebo expressed as residuals after confounds due to off drug effects were regressed out. SUPPLEMENTARY FIGURE 3 BOLD RESPONSES TO CHOICES AND


FEEDBACK IN THE VMPFC AND THE VENTRAL STRIATUM (_N_ = 15). (A) Parameter estimates for choices (correct vs. incorrect) from the vmPFC region of interest in the gain and loss condition for


off drug (gray), placebo (blue), and on drug (black) treatments. (B) Parameter estimates for feedback (correct vs. incorrect) from the ventral striatum region of interest in the gain and


loss condition for the off drug (gray), placebo (blue), and on drug (black) treatments. Error bars represent within subject standard errors. SUPPLEMENTARY FIGURE 4 VENTRAL STRIATUM RESPONSES


TO COMPONENTS OF THE PREDICTION ERROR (_N_ = 15). Parameter estimates (betas) from the ventral striatum at time of outcome for the two components of prediction error – expected value and


reward – in the off drug (gray), placebo (blue) and on drug (black) treatments. Error bars represent within subject standard errors. SUPPLEMENTARY FIGURE 5 REACTION TIMES DURING LEARNING


ACROSS CONDITIONS AND TREATMENT. Average reaction time in seconds for the gain (left) and loss condition (right) in the off drug (gray), placebo (blue), and on drug (black) treatments. The


reaction time curves depict how fast patients chose the optimal choice cue. Error bars represent within-subject standard errors. SUPPLEMENTARY FIGURE 6 BEHAVIORAL RESULTS FOR THE SUBGROUP OF


PATIENTS SCANNED WITH FMRI (_N_ = 15). Percentage of observed optimal choices binned across bocks of 8 trials (left), smoothed (middle), and modeled optimal choices (right) in the gain


(top) and loss (bottom) conditions for the off drug (gray), placebo (blue), and on drug (black) treatments. The learning curves depict how often patients chose the 75% rewarding cue (t11 =


5.2, p < 0.001) during the gain condition and the 75% nothing cue (t11 = 4.1, p < 0.01) during the loss condition. Error bars represent within-subject standard errors. SUPPLEMENTARY


FIGURE 7 OBSERVED AND MODELED BEHAVIORAL RESULTS FOR THE SCANNED PATIENTS (N = 15). Percentage of observed behavioral choices (dots) and modeled optimal choices (solid lines) across trials


for off drug (gray), placebo (blue), and on drug (black) treatments. The learning curves depict how often patients chose the 75% rewarding cue (t11 = 5.2, p < 0.001) during the gain


condition and the 75% loss cue (t11 = −4.1, p < 0.01) during the loss condition. The modeled learning curves represent the probabilities of choice on each trial, as predicted by the RL


model. SUPPLEMENTARY FIGURE 8 DIRECT COMPARISONS OF VALUE AND PREDICTION ERROR RESPONSES ACROSS TREATMENTS. Statistical parametric maps (SPMs) are superimposed on the average structural


scan. (A) SPMs are masked for the vmPFC ROI, defined a priori by MNI = [−1, 27, −8]) from Hare et al. 2008, at p < 0.05 uncorrected. (B) Whole brain activations for value at p < 0.05


uncorrected. (C) SPMs are masked for the ventral striatum ROI, defined a priori by MNI = [−10, 12, −8]) from Pessiglione et al. 2006, at p < 0.05 uncorrected. (D) Whole brain activations


for prediction error at p < 0.05 uncorrected. SUPPLEMENTARY INFORMATION SUPPLEMENTARY TEXT AND FIGURES Supplementary Figures 1–8 and Supplementary Tables 1–2 (PDF 795 kb) SUPPLEMENTARY


METHODS CHECKLIST (PDF 530 kb) RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Schmidt, L., Braun, E., Wager, T. _et al._ Mind matters: placebo enhances


reward learning in Parkinson's disease. _Nat Neurosci_ 17, 1793–1797 (2014). https://doi.org/10.1038/nn.3842 Download citation * Received: 15 April 2014 * Accepted: 16 September 2014 *


Published: 19 October 2014 * Issue Date: December 2014 * DOI: https://doi.org/10.1038/nn.3842 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content:


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