Keyword search (3,168 papers available)


BOLD signal physiology: Models and applications.

Author(s): Gauthier CJ, Fan AP

Neuroimage. 2019 02 15;187:116-127 Authors: Gauthier CJ, Fan AP

Article GUID: 29544818
High resolution atlas of the venous brain vasculature from 7 T quantitative susceptibility maps.

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

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

Article GUID: 31278570
Higher cardiovascular fitness level is associated with lower cerebrovascular reactivity and perfusion in healthy older adults.

Author(s): Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ

J Cereb Blood Flow Metab. 2019 Jul 25;:271678X19862873 Authors: Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ

Article GUID: 31342831
Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity.

Author(s): Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Neuroimage. 2016 05 01;131:55-72 Authors: Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A

Article GUID: 26318050
Elevated brain oxygen extraction fraction measured by MRI susceptibility relates to perfusion status in acute ischemic stroke.

Author(s): Fan AP, Khalil AA, Fiebach JB, Zaharchuk G, Villringer A, Villringer K, Gauthier CJ

J Cereb Blood Flow Metab. 2019 Feb 07;:271678X19827944 Authors: Fan AP, Khalil AA, Fiebach JB, Zaharchuk G, Villringer A, Villringer K, Gauthier CJ

Article GUID: 30732551
Arterial stiffness and brain integrity: A review of MRI findings.

Author(s): Badji A, Sabra D, Bherer L, Cohen-Adad J, Girouard H, Gauthier CJ

Ageing Res Rev. 2019 May 04;53:100907 Authors: Badji A, Sabra D, Bherer L, Cohen-Adad J, Girouard H, Gauthier CJ

Article GUID: 31063866
Higher levels of cardiovascular fitness are associated with better executive function and prefrontal oxygenation in younger and older women.

Author(s): Dupuy O, Gauthier CJ, Fraser SA, Desjardins-Crèpeau L, Desjardins M, Mekary S, Lesage F, Hoge RD, Pouliot P, Bherer L

Front Hum Neurosci. 2015;9:66 Authors: Dupuy O, Gauthier CJ, Fraser SA, Desjardins-Crèpeau L, Desjardins M, Mekary S, Lesage F, Hoge RD, Pouliot P, Bherer L

Article GUID: 25741267
Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.

Author(s): Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Neuroimage. 2017 04 01;149:233-243 Authors: Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Article GUID: 28159689
Age differences in brain signal variability are robust to multiple vascular controls.

Author(s): Garrett DD, Lindenberger U, Hoge RD, Gauthier CJ

Sci Rep. 2017 08 31;7(1):10149 Authors: Garrett DD, Lindenberger U, Hoge RD, Gauthier CJ

Article GUID: 28860455
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
Category:Brain Struct Funct
PMID:31278570
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]