Author's Personal Copy Probabilistic Reversal Learning Is Impaired in Parkinson's Disease
Author's Personal Copy Probabilistic Reversal Learning Is Impaired in Parkinson's Disease
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D. A. Peterson;C. Elliott;D. Song;S. Makeig;H. Poizner
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作者:
D. A. Peterson;C. Elliott;D. Song;S. Makeig;H. Poizner
—In many everyday settings, the relationship between our choices and their potentially rewarding outcomes is probabilistic and dynamic. In addition, the difficulty of the choices can vary widely. Although a large body of theoretical and empirical evidence suggests that dopamine mediates rewarded learning, the influence of dopamine in probabilistic and dynamic rewarded learning remains unclear. We adapted a probabilistic rewarded learning task originally used to study firing rates of dopamine cells in primate substantia nigra pars compacta [ (2006) Midbrain dopamine neurons encode decisions for future action. Nat Neurosci 9:1057–1063] for use as a reversal learning task with humans. We sought to investigate how the dopamine depletion in Parkinson's disease (PD) affects probabilistic reward learning and adaptation to a reversal in reward contingencies. Over the course of 256 trials subjects learned to choose the more favorable from among pairs of images with small or large differences in reward probabilities. During a subsequent otherwise identical reversal phase, the reward probability contingencies for the stimuli were reversed. Seventeen PD patients of mild to moderate severity were studied off of their dopaminergic medications and compared to 15 age-matched controls. Compared to controls , PD patients had distinct pre-and post-reversal deficiencies depending upon the difficulty of the choices they had to learn. The patients also exhibited compromised adaptability to the reversal. A computational model of the subjects' trial-by-trial choices demonstrated that the adaptability was sensitive to the gain with which patients weighted pre-reversal feedback. Collectively, the results implicate the nigral dopa-minergic system in learning to make choices in environments with probabilistic and dynamic reward contingencies. It has become clear in recent years that Parkinson's disease (PD) affects not only the initiation and control of movements, but also motivational drive and reward-seeking behavior (Borek et al., 2006), which themselves are fundamental to the learning of new responses. A classic neuropathology of PD is the degeneration of dopamine cells in the substantia nigra pars compacta (Dauer and Przedborski, 2003). This not only produces a substantially reduced tonic level of dopaminergic activity in efferent targets, but also likely impairs phasic dopaminergic activity A broad body of theoretical and empirical evidence has accumulated suggesting that phasic activity of the midbrain dopa-mine system is critical to trial by trial feedback-based learning (Abler et al., 2006). The predominant concept is that the phasic dopamine activity signals actual versus expected reward values, or a reward " prediction error " (Mon-tague et …