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Y. Cointepas

Researcher at Université Paris-Saclay

Publications -  40
Citations -  2779

Y. Cointepas is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Diffusion MRI & Tractography. The author has an hindex of 21, co-authored 37 publications receiving 2583 citations. Previous affiliations of Y. Cointepas include United States Atomic Energy Commission & IBM.

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Asynchrony of the early maturation of white matter bundles in healthy infants: Quantitative landmarks revealed noninvasively by diffusion tensor imaging

TL;DR: A specific maturation model, based on the respective roles of different maturational processes on the diffusion phenomena, was designed to highlight asynchronous maturation across bundles by evaluating the time‐course of mean diffusivity and anisotropy changes over the considered developmental period.
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Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: a feasibility study using quantitative diffusion tensor imaging and tractography.

TL;DR: A new method of quantification based on reconstructed tracts, split between specific regions, which should be more sensitive to specific changes in a bundle than the conventional approach, based on regions-of-interest is proposed.
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A framework to study the cortical folding patterns.

TL;DR: A framework of using artificial neuroanatomists that are trained to identify sulci from a database is developed, which relies on a renormalization of the brain warping problem, which consists in matching the cortices at the scale of the folds.
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Age‐related morphology trends of cortical sulci

TL;DR: Sulcal age-related trends were found to be highly influenced by gender in the superior temporal, collateral, and cingulate sulci (P < 0.05), with males showing more pronounced age‐related change in sulcal width than females.
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In vivo evidence for the selective subcortical degeneration in Huntington's disease.

TL;DR: Beyond Huntington's disease, DTI is proved here that diffusion imaging technique, associated to adequate methodological analyses, can provide insight into any neurodegenerative disorder for which some neuronal populations or connections are selectively targeted over others.