Keyword search (4,163 papers available)

"Villringer A" Authored Publications:

Title Authors PubMed ID
1 Patterns of Structural Disconnection Driving Proprioceptive Deficits in Chronic Stroke Kaeja M; Gajiyeva L; Iturria-Medina Y; Villringer A; Sehm B; Steele C; 41392885
SOH
2 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
3 The impact of lesion side on bilateral upper limb coordination after stroke Shih PC; Steele CJ; Hoepfel D; Muffel T; Villringer A; Sehm B; 38093308
PSYCHOLOGY
4 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
5 Visuo-motor transformations in the intraparietal sulcus mediate the acquisition of endovascular medical skill Paul KI; Mueller K; Rousseau PN; Glathe A; Taatgen NA; Cnossen F; Lanzer P; Villringer A; Steele CJ; 36529202
PSYCHOLOGY
6 Mental rotation ability predicts the acquisition of basic endovascular skills Paul KI; Glathe A; Taatgen NA; Steele CJ; Villringer A; Lanzer P; Cnossen F; 34789742
PSYCHOLOGY
7 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
8 Alpha and beta neural oscillations differentially reflect age-related differences in bilateral coordination Shih PC; Steele CJ; Nikulin VV; Gundlach C; Kruse J; Villringer A; Sehm B; 33979705
PSYCHOLOGY
9 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
10 Modulation of premotor cortex response to sequence motor learning during escitalopram intake. Molloy EN; Mueller K; Beinhölzl N; Blöchl M; Piecha FA; Pampel A; Steele CJ; Scharrer U; Zheleva G; Regenthal R; Sehm B; Nikulin VV; Möller HE; Villringer A; Sacher J; 33148103
PSYCHOLOGY
11 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
12 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
13 Elevated brain oxygen extraction fraction measured by MRI susceptibility relates to perfusion status in acute ischemic stroke. Fan AP, Khalil AA, Fiebach JB, Zaharchuk G, Villringer A, Villringer K, Gauthier CJ 30732551
PHYSICS
14 Kinematic profiles suggest differential control processes involved in bilateral in-phase and anti-phase movements. Shih PC, Steele CJ, Nikulin V, Villringer A, Sehm B 30824858
PSYCHOLOGY
15 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 JWanner YFan APJäger ATGrahl SSchneider UVillringer ASteele CJTardif CLBazin PLGauthier 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 vasculatureQSM, UHF-MRIVein atlasVein segmentationVenous 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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