scispace - formally typeset
R

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.

Papers
More filters
Journal ArticleDOI

A functional neuroanatomy of tics in Tourette syndrome.

TL;DR: Aberrant activity in the interrelated sensorimotor, language, executive, and paralimbic circuits identified in this study may account for the initiation and execution of diverse motor and vocal behaviors that characterize tics in TS, as well as for the urges that often accompany them.
Journal ArticleDOI

Human orbitofrontal cortex mediates extinction learning while accessing conditioned representations of value

TL;DR: Functional magnetic resonance imaging was used to measure human brain activity evoked during olfactory aversive conditioning and extinction learning and showed that a CS+ retains access to representations of UCS value in distinct regions of ventral prefrontal cortex, even as extinction proceeds.
Journal ArticleDOI

Segregating the Functions of Human Hippocampus

TL;DR: This work measures hippocampal responses to novelty, using functional MRI (fMRI), during an item-learning paradigm generated from an artificial grammar system, and demonstrates a left anterior hippocampal response to both types of novelty and adaptation of these responses with stimulus familiarity.
Journal ArticleDOI

Prefrontal dysfunction in depressed patients performing a complex planning task: a study using positron emission tomography.

TL;DR: Findings provide evidence for cingulate, prefrontal and striatal dysfunction associated with impaired task performance in depression as well as suggesting impaired frontostriatal function.
Journal ArticleDOI

Go and no-go learning in reward and punishment: interactions between affect and effect.

TL;DR: The behavioral and computational data showed that instrumental learning is contingent on overcoming inherent and plastic Pavlovian biases, while the neuronal data showed this learning is linked to unique patterns of brain activity in regions implicated in action and inhibition respectively.