Denis Le Bihan
Université Paris-Saclay
59 Papers
186 Citations
Denis Le Bihan is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Diffusion MRI & Functional magnetic resonance imaging. The author has an hindex of 22, co-authored 59 publications. Previous affiliations of Denis Le Bihan include United States Atomic Energy Commission & French Institute of Health and Medical Research.
Chat about Author
Papers
Distributed and Overlapping Cerebral Representations of Number, Size, and Luminance during Comparative Judgments
TL;DR: The results suggest that during comparative judgments, the relevant continuous quantities are represented in distributed and overlapping neural populations, with number and size engaging a common parietal spatial code, while size and luminance engage shared occipito-temporal perceptual representations.
746
Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future.
Mami Iima,Denis Le Bihan +1 more
TL;DR: A review of the clinical literature, mainly focusing on current outstanding issues, is given, followed by some innovative proposals for future improvements.
456
Understanding dissociations in dyscalculia: a brain imaging study of the impact of number size on the cerebral networks for exact and approximate calculation.
Ruxandra Stanescu-Cosson,Philippe Pinel,Pierre-Francıois van de Moortele,Denis Le Bihan,Laurent D. Cohen,Laurent D. Cohen,Stanislas Dehaene +6 more
TL;DR: Two cerebral networks for number processing are revealed: Rote arithmetic operations with small numbers have a greater reliance on left-lateralized regions, presumably encoding numbers in verbal format, and Approximation and exact calculation with large numbers, however, put heavier emphasis on the left and right parietal cortices.
Apparent Diffusion Coefficient and Beyond: What Diffusion MR Imaging Can Tell Us about Tissue Structure
TL;DR: Although apparent diffusion coefficient remains a valid and useful clinical marker, it is clear that more advanced processing of diffusion MR Imaging data is necessary if one wants, someday, diffusion MR imaging to become a “virtual biopsy” tool.
Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice
Andrew B. Rosenkrantz,Anwar R. Padhani,Thomas L. Chenevert,Dow-Mu Koh,Frederik De Keyzer,Bachir Taouli,Denis Le Bihan +6 more
TL;DR: A robust understanding ofDKI is necessary for radiologists to better understand the meaning of DKI‐derived metrics in the context of different tumors and how these metrics vary between tumor types and in response to treatment.