Reward prediction in health and disease. (360G-Wellcome-093270_Z_10_Z)

£381,826

Our goal is to characterise and extend our understanding of behavioural and brain signatures of prediction-dependent responding in schizophrenia. The behavioural symptoms of schizophrenia, as well as the implications of dopaminergic alterations, suggest that abnormal prediction error signals and predictions may be key to understanding the condition. Several functional neuroimaging studies have provided evidence in favour of this view. However, the functions of prediction errors in learning and b ehaviour are complex and cannot be adequately characterised solely in terms of their presence and magnitude. We hypothesise that a detailed understanding of the adaptivity of prediction error coding and the variability of reward prediction in relation to background environmental characteristics will bring us closer to understanding the positive symptoms of schizophrenia. Our aims are therefore to explore these two features of error-dependent learning using complementary studies in control partic ipants and in patients with schizophrenia. Our specific goal is to identify changes in prediction error sensitivity to adaptation and contingency in patients and to characterise the extent to which these signals in healthy controls are susceptible to perturbations induced by dopaminergic drugs (L-Dopa and sulpiride). In doing so, we will provide critical insights to the neurobiology of positive symptoms of schizophrenia.

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Grant Details

Amount Awarded 381826
Applicant Surname Fletcher
Approval Committee Cognitive and Higher Systems Funding Committee
Award Date 2011-02-21T00:00:00+00:00
Financial Year 2010/11
Grant Programme: Title Project Grant
Internal ID 093270/Z/10/Z
Lead Applicant Prof Paul Fletcher
Other Applicant(s) Prof Wolfram Schultz
Partnership Value 381826
Planned Dates: End Date 2015-10-31T00:00:00+00:00
Planned Dates: Start Date 2011-11-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region East of England