R
Ralf Deichmann
Researcher at University College London
Publications - 40
Citations - 7261
Ralf Deichmann is an academic researcher from University College London. The author has contributed to research in topics: Medicine & Imaging phantom. The author has an hindex of 22, co-authored 34 publications receiving 6917 citations. Previous affiliations of Ralf Deichmann include Wellcome Trust Centre for Neuroimaging & University of Würzburg.
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Journal ArticleDOI
Dissociable roles of ventral and dorsal striatum in instrumental conditioning
John P. O'Doherty,Peter Dayan,Johannes Schultz,Ralf Deichmann,Karl J. Friston,Raymond J. Dolan +5 more
TL;DR: This work scanned human participants with functional magnetic resonance imaging while they engaged in instrumental conditioning to suggest partly dissociable contributions of the ventral and dorsal striatum to the critic and the actor.
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Neural responses during anticipation of a primary taste reward.
TL;DR: The findings indicate that when rewards are predictable, brain regions recruited during expectation are, in part, dissociable from areas responding to reward receipt.
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Dissociating valence of outcome from behavioral control in human orbital and ventral prefrontal cortices.
TL;DR: Functional heterogeneity within the orbitofrontal cortex is suggested, with a role for this region in representing stimulus-reward values, signaling changes in reinforcement contingencies and in behavioral control.
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Concurrent TMS-fMRI and psychophysics reveal frontal influences on human retinotopic visual cortex
Christian C. Ruff,Felix Blankenburg,Otto Bjoertomt,Sven Bestmann,Elliot D. Freeman,John-Dylan Haynes,Geraint Rees,Oliver Josephs,Ralf Deichmann,Jon Driver +9 more
TL;DR: The results provide causal evidence that circuits originating in the human FEF can modulate activity in retinotopic visual cortex, in a manner that differentiates the central and peripheral visual field, with functional consequences for perception.
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Optimal EPI parameters for reduction of susceptibility-induced BOLD sensitivity losses: A whole-brain analysis at 3 T and 1.5 T
TL;DR: The maps of optimal parameters allow for assessing the feasibility and improving fMRI of brain regions affected by susceptibility-induced BS losses, and increase the BS by more than 60% in many voxels in the OFC and by at least 30% in the other dropout regions.