Keyword search (4,164 papers available)

"Steele CJ" Authored Publications:

Title Authors PubMed ID
1 Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; 41916976
PSYCHOLOGY
2 Pontine Functional Connectivity Gradients Rousseau PN; Bazin PL; Steele CJ; 41420671
SOH
3 BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F; 40927858
SOH
4 Multivariate white matter microstructure alterations in older adults with coronary artery disease Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; Steele CJ; Iglesies-Grau J; Nigam A; Bherer L; Gauthier CJ; 40829939
SOH
5 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
6 Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions Parent O; Alasmar Z; Osborne S; Bussy A; Costantino M; Fouquet JP; Quesada D; Pastor-Bernier A; Fajardo-Valdez A; Pichet-Binette A; McQuarrie A; Maranzano J; Devenyi GA; Steele CJ; Villeneuve S; ; Dadar M; Chakravarty MM; 40585093
PSYCHOLOGY
7 Multiscale gradients of corticopontine structural connectivity Rousseau PN; Bazin PL; Steele CJ; 40355513
SOH
8 Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer s disease Tremblay SA; Nathan Spreng R; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 40086421
PSYCHOLOGY
9 Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ; 39791308
SOH
10 Alzheimer's Imaging Consortium Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 39782998
CONCORDIA
11 Biomarkers Tremblay SA; Spreng RN; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 39785351
CONCORDIA
12 MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across metrics Tremblay SA; Alasmar Z; Pirhadi A; Carbonell F; Iturria-Medina Y; Gauthier CJ; Steele CJ; 38463982
SOH
13 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
14 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
15 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
16 Using cortico-cerebellar structural patterns to classify early- and late-trained musicians Shenker JJ; Steele CJ; Zatorre RJ; Penhune VB; 37326147
PSYCHOLOGY
17 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
18 Mapping pontocerebellar connectivity with diffusion MRI Rousseau PN; Chakravarty MM; Steele CJ; 36252913
PERFORM
19 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
20 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
21 Early musical training shapes cortico-cerebellar structural covariation Shenker JJ; Steele CJ; Chakravarty MM; Zatorre RJ; Penhune VB; 34657166
PSYCHOLOGY
22 Sex moderations in the relationship between aortic stiffness, cognition, and cerebrovascular reactivity in healthy older adults Sabra D; Intzandt B; Desjardins-Crepeau L; Langeard A; Steele CJ; Frouin F; Hoge RD; Bherer L; Gauthier CJ; 34582484
PERFORM
23 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
24 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
25 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
26 Improving Safety of MRI in Patients with Deep Brain Stimulation Devices. Boutet A, Chow CT, Narang K, Elias GJB, Neudorfer C, Germann J, Ranjan M, Loh A, Martin AJ, Kucharczyk W, Steele CJ, Hancu I, Rezai AR, Lozano AM 32573388
PSYCHOLOGY
27 Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. Patel R, Steele CJ, Chen A, Patel S, Devenyi GA, Germann J, Tardif CL, Chakravarty MM 31715254
PSYCHOLOGY
28 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
29 Higher cardiovascular fitness level is associated with lower cerebrovascular reactivity and perfusion in healthy older adults. Intzandt B, Sabra D, Foster C, Desjardins-Crépeau L, Hoge RD, Steele CJ, Bherer L, Gauthier CJ 31342831
PERFORM
30 Nighres: processing tools for high-resolution neuroimaging Huntenburg JM; Steele CJ; Bazin PL; 29982501
PSYCHOLOGY
31 Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning Penhune VB; Steele CJ; 22004979
PSYCHOLOGY
32 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
33 Practice makes plasticity. Steele CJ, Zatorre RJ 30482944
PSYCHOLOGY
34 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
35 Neuroimaging Technological Advancements for Targeting in Functional Neurosurgery. Boutet A, Gramer R, Steele CJ, Elias GJB, Germann J, Maciel R, Kucharczyk W, Zrinzo L, Lozano AM, Fasano A 31144155
PSYCHOLOGY
36 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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