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:Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.
Authors:Tardif CLSteele CJLampe LBazin PLRagert PVillringer AGauthier CJ
Link:https://www.ncbi.nlm.nih.gov/pubmed/28159689?dopt=Abstract
DOI:10.1016/j.neuroimage.2017.01.025
Publication:NeuroImage
Keywords:Blood volumeComputational anatomyCortical thicknessGrey matter volumeMetabolic biasVascular bias
PMID:28159689 Category:Neuroimage Date Added:2019-04-15
Dept Affiliation: PERFORM
1 Douglas Mental Health University Institute, McGill University, Montreal, Canada.
2 Douglas Mental Health University Institute, McGill University, Montreal, Canada; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
3 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
4 University of Leipzig, Department of Sport Science, Leipzig, Germany.
5 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department of Cognitive Neurology, University Hospital, Leipzig, Germany; Mind & Brain Institute, Berlin School of Mind and Brain, Charité and Humboldt-University, Berlin, Germany.
6 Concordia University, Department of Physics, PERFORM Centre, Montreal, Canada. Electronic address: claudine.gauthier@concordia.ca.

Description:

Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.

Neuroimage. 2017 04 01;149:233-243

Authors: Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ

Abstract

Computational anatomy studies typically use T1-weighted magnetic resonance imaging contrast to look at local differences in cortical thickness or grey matter volume across time or subjects. This type of analysis is a powerful and non-invasive tool to probe anatomical changes associated with neurodevelopment, aging, disease or experience-induced plasticity. However, these comparisons could suffer from biases arising from vascular and metabolic subject- or time-dependent differences. Differences in blood flow and volume could be caused by vasodilation or differences in vascular density, and result in a larger signal contribution of the blood compartment within grey matter voxels. Metabolic changes could lead to differences in dissolved oxygen in brain tissue, leading to T1 shortening. Here, we analyze T1 maps and T1-weighted images acquired during different breathing conditions (ambient air, hypercapnia (increased CO2) and hyperoxia (increased O2)) to evaluate the effect size that can be expected from changes in blood flow, volume and dissolved O2 concentration in computational anatomy studies. Results show that increased blood volume from vasodilation during hypercapnia is associated with an overestimation of cortical thickness (1.85%) and grey matter volume (3.32%), and that both changes in O2 concentration and blood volume lead to changes in the T1 value of tissue. These results should be taken into consideration when interpreting existing morphometry studies and in future study design. Furthermore, this study highlights the overlap in structural and physiological MRI, which are conventionally interpreted as two independent modalities.

PMID: 28159689 [PubMed - indexed for MEDLINE]





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