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Raymond J. Dolan

Researcher at University College London

Publications -  940
Citations -  150202

Raymond J. Dolan is an academic researcher from University College London. The author has contributed to research in topics: Prefrontal cortex & Functional magnetic resonance imaging. The author has an hindex of 196, co-authored 919 publications receiving 138540 citations. Previous affiliations of Raymond J. Dolan include VU University Amsterdam & McGovern Institute for Brain Research.

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Impact of nutrition on social decision making

TL;DR: The results provide evidence that variations in the macronutrient content of a normal European meal exert a significant impact on high-level human cognition and indicate that, in a limited sense, “the authors are what they eat” and provide a perspective on a nutrition-driven modulation of cognition.
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Profiling neuronal ion channelopathies with non-invasive brain imaging and dynamic causal models: Case studies of single gene mutations

TL;DR: This work compared electrophysiological responses from two patients with distinct monogenic ion channelopathies and a large cohort of healthy controls to demonstrate the feasibility of assaying synaptic-level channel communication non-invasively, indicating a potential novel application as an adjunct for clinical assessments in neurological and psychiatric settings.
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Social and emotional functions in three patients with medial frontal lobe damage including the anterior cingulate cortex.

TL;DR: It is suggested that medial frontal lobe lesions primarily involving the ACC do not appear to critically disrupt motivational decision making or social situation processing, and the ACC plays a role in processing particular types of emotion.
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Hedging Your Bets by Learning Reward Correlations in the Human Brain

TL;DR: The data show that the human brain represents higher-order correlation structures between rewards, a core adaptive ability whose immediate benefit is optimized sampling.
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Approach-avoidance processes contribute to dissociable impacts of risk and loss on choice.

TL;DR: It is suggested that in the choice process risk and loss can independently engage approach–avoidance mechanisms, which can provide a novel explanation for how risk influences action selection and explains both classically described choice behavior as well as behavioral patterns not predicted by existing theory.