Keyword search (4,163 papers available)

"Bazin PL" Authored Publications:

Title Authors PubMed ID
1 Pontine Functional Connectivity Gradients Rousseau PN; Bazin PL; Steele CJ; 41420671
SOH
2 Assessing quantitative MRI techniques using multimodal comparisons Carter F; Anwander A; Johnson M; Goucha T; Adamson H; Friederici AD; Lutti A; Gauthier CJ; Weiskopf N; Bazin PL; Steele CJ; 40705745
SOH
3 Multiscale gradients of corticopontine structural connectivity Rousseau PN; Bazin PL; Steele CJ; 40355513
SOH
4 Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training Jäger AP; Bailey A; Huntenburg JM; Tardif CL; Villringer A; Gauthier CJ; Nikulin V; Bazin PL; Steele CJ; 38124341
SOH
5 Modeling venous bias in resting state functional MRI metrics Huck J; Jäger AT; Schneider U; Grahl S; Fan AP; Tardif C; Villringer A; Bazin PL; Steele CJ; Gauthier CJ; 37498014
PERFORM
6 Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study Jäger AP; Huntenburg JM; Tremblay SA; Schneider U; Grahl S; Huck J; Tardif CL; Villringer A; Gauthier CJ; Bazin PL; Steele CJ; 34704176
PERFORM
7 White matter microstructural changes in short-term learning of a continuous visuomotor sequence Tremblay SA; Jäger AT; Huck J; Giacosa C; Beram S; Schneider U; Grahl S; Villringer A; Tardif CL; Bazin PL; Steele CJ; Gauthier CJ; 33885965
PERFORM
8 High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps. Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ 31278570
PSYCHOLOGY
9 Nighres: processing tools for high-resolution neuroimaging Huntenburg JM; Steele CJ; Bazin PL; 29982501
PSYCHOLOGY
10 Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity. Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A 26318050
PERFORM
11 Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies. Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ 28159689
PERFORM

 

Title:High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps.
Authors:Huck J,  Wanner Y,  Fan AP,  Jäger AT,  Grahl S,  Schneider U,  Villringer A,  Steele CJ,  Tardif CL,  Bazin PL,  Gauthier CJ
Link:https://www.ncbi.nlm.nih.gov/pubmed/31278570?dopt=Abstract
DOI:10.1007/s00429-019-01919-4
Publication:Brain structure & function
Keywords:Cerebral vasculature;  QSM, UHF-MRI;  Vein atlas;  Vein segmentation;  Venous vasculature; 
PMID:31278570 Category:Brain Struct Funct Date Added:2019-08-07
Dept Affiliation: PSYCHOLOGY
1 Department of Physics, Concordia University, 1455 Boulevard de Maisonneuve O, Montreal, QC, H3G 1M8, Canada. Julia.Huck@mail.concordia.ca.
2 Department of Physics, Concordia University, 1455 Boulevard de Maisonneuve O, Montreal, QC, H3G 1M8, Canada.
3 Universität Stuttgart, Stuttgart, Germany.
4 Stanford University, Stanford, USA.
5 Max-Planck-Institut fur Kognitions- und Neurowissenschaften, Leipzig, Germany.
6 Clinic for Cognitive Neurology, University of Leipzig, Leipzig, Germany.
7 Leipzig University Medical Centre, IFB Adiposity Diseases, Leipzig, Germany.
8 Leipzig University Medical Centre, Collaborative Research Centre, 1052-A5, Leipzig, Germany.
9 Department of Psychology, Concordia University, Montreal, Canada.
10 Department of Biomedical Engineering, McGill University, Montreal, Canada.
11 Montreal Neurological Institute, Montreal, Canada.
12 Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands.
13 Montreal Heart Institute, Montreal, Canada.

Description:

High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps.

Brain Struct Funct. 2019 Jul 05;:

Authors: Huck J, Wanner Y, Fan AP, Jäger AT, Grahl S, Schneider U, Villringer A, Steele CJ, Tardif CL, Bazin PL, Gauthier CJ

Abstract

The vascular organization of the human brain can determine neurological and neurophysiological functions, yet thus far it has not been comprehensively mapped. Aging and diseases such as dementia are known to be associated with changes to the vasculature and normative data could help detect these vascular changes in neuroimaging studies. Furthermore, given the well-known impact of venous vessels on the blood oxygen level dependent (BOLD) signal, information about the common location of veins could help detect biases in existing datasets. In this work, a quantitative atlas of the venous vasculature using quantitative susceptibility maps (QSM) acquired with a 0.6-mm isotropic resolution is presented. The Venous Neuroanatomy (VENAT) atlas was created from 5 repeated 7 Tesla MRI measurements in young and healthy volunteers (n?=?20, 10 females, mean age?=?25.1?±?2.5 years) using a two-step registration method on 3D segmentations of the venous vasculature. This cerebral vein atlas includes the average vessel location, diameter (mean: 0.84?±?0.33 mm) and curvature (0.11?±?0.05 mm-1) from all participants and provides an in vivo measure of the angio-architectonic organization of the human brain and its variability. This atlas can be used as a basis to understand changes in the vasculature during aging and neurodegeneration, as well as vascular and physiological effects in neuroimaging.

PMID: 31278570 [PubMed - as supplied by publisher]




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