O
Oliver Josephs
Researcher at Wellcome Trust Centre for Neuroimaging
Publications - 67
Citations - 13995
Oliver Josephs is an academic researcher from Wellcome Trust Centre for Neuroimaging. The author has contributed to research in topics: Functional magnetic resonance imaging & Visual cortex. The author has an hindex of 48, co-authored 67 publications receiving 13307 citations. Previous affiliations of Oliver Josephs include Queen's University.
Papers
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Journal ArticleDOI
Event-Related fMRI: Characterizing Differential Responses
Karl J. Friston,Paul C. Fletcher,Oliver Josephs,Andrew P. Holmes,Michael D. Rugg,Michael D. Rugg,Robert Turner +6 more
TL;DR: This paper focuses on bilateral ventrolateral prefrontal responses that show deactivations for previously seen words and activations for novel words in functional magnetic resonance imaging that are evoked by different sorts of stimuli.
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The Prefrontal Cortex: Response Selection or Maintenance Within Working Memory?
TL;DR: The results support a role for the dorsal prefrontal cortex in the selection of representations and accounts for the fact that this area is activated both when subjects select between items on working memory tasks and when they freely select between movements on tasks of willed action.
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Event-related f MRI
TL;DR: The occurrence of time‐locked activations is formulated in terms of the general linear model, i.e., multiple linear regression, which permits the use of established statistical techniques that correct for multiple comparisons in the context of spatially smooth and serially correlated data.
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Image Distortion Correction in fMRI: A Quantitative Evaluation
TL;DR: It is proposed that field maps with acceptable noise levels can be generated easily using a dual echo-time EPI sequence and the importance of distortion correction for anatomical coregistration, even for small distortions is demonstrated.
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Nonlinear event-related responses in fMRI
TL;DR: The theory and techniques upon which conclusions based on nonlinear system identification based on the use of Volterra series were based are described and the implications for experimental design and analysis are discussed.