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Dive into the research topics where Mathieu Boudreau is active.

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Featured researches published by Mathieu Boudreau.


Journal of Biological Chemistry | 2002

K252a and CEP1347 Are Neuroprotective Compounds That Inhibit Mixed-lineage Kinase-3 and Induce Activation of Akt and ERK

Philippe P. Roux; Geneviève Dorval; Mathieu Boudreau; Alexandre Angers-Loustau; Stephen J. Morris; Joe P S Makkerh; Philip A. Barker

K252a is best known as a Trk inhibitor, but is also a neuroprotective compound. CEP1347, a K252a derivative, retains neuroprotective properties, but does not inhibit TrkA. CEP1347 has recently been shown to directly inhibit MAPKKKs, including MLK3, but the effect of K252a on MAPKKKs remains unknown. K252a and CEP1347 not only prevent death, but also facilitate neurite outgrowth and maintenance, somal hypertrophy, and neurotransmitter synthesis. The biochemical basis for these trophic effects remains unknown. We have compared the effects of CEP1347 and K252a on MLK and JNK signaling and on neurotrophic pathways that support survival and growth. Our data show that K252a is a potent inhibitor of MLK3 activity in vivo and in vitro (IC50 ∼ 5 nm). However, we also found that K252a and CEP1347 activate Akt and ERK and show that blockade of phosphatidylinositol 3-kinase or MEK activity ablates the effect of K252a and CEP1347 on cell survival. Activation of Akt and ERK occurs through an MLK-independent pathway that may involve c-Src. Together, these data show that the neuroprotective and neurotrophic effects of K252a and CEP1347 involve activation of several neurotrophic signaling pathways.


NeuroImage | 2015

In vivo histology of the myelin g-ratio with magnetic resonance imaging

Nikola Stikov; Jennifer S. W. Campbell; Thomas Stroh; Mariette Lavelée; Stephen Frey; Jennifer Novek; Stephen Nuara; Ming-Kai Ho; Barry J. Bedell; Robert F. Dougherty; Ilana R. Leppert; Mathieu Boudreau; Sridar Narayanan; Tanguy Duval; Julien Cohen-Adad; Paul-Alexandre Picard; Alicja Gasecka; Daniel Côté; G. Bruce Pike

The myelin g-ratio, defined as the ratio between the inner and the outer diameter of the myelin sheath, is a fundamental property of white matter that can be computed from a simple formula relating the myelin volume fraction to the fiber volume fraction or the axon volume fraction. In this paper, a unique combination of magnetization transfer, diffusion imaging and histology is presented, providing a novel method for in vivo magnetic resonance imaging of the axon volume fraction and the myelin g-ratio. Our method was demonstrated in the corpus callosum of one cynomolgus macaque, and applied to obtain full-brain g-ratio maps in one healthy human subject and one multiple sclerosis patient. In the macaque, the g-ratio was relatively constant across the corpus callosum, as measured by both MRI and electron microscopy. In the human subjects, the g-ratio in multiple sclerosis lesions was higher than in normal appearing white matter, which was in turn higher than in healthy white matter. Measuring the g-ratio brings us one step closer to fully characterizing white matter non-invasively, making it possible to perform in vivo histology of the human brain during development, aging, disease and treatment.


Magnetic Resonance in Medicine | 2015

On the accuracy of T1 mapping: searching for common ground.

Nikola Stikov; Mathieu Boudreau; Ives R. Levesque; Christine L. Tardif; Jo€elle K. Barral; G. Bruce Pike

There are many T1 mapping methods available, each of them validated in phantoms and reporting excellent agreement with literature. However, values in literature vary greatly, with T1 in white matter ranging from 690 to 1100 ms at 3 Tesla. This brings into question the accuracy of one of the most fundamental measurements in quantitative MRI. Our goal was to explain these variations and look into ways of mitigating them.


Data in Brief | 2015

Quantitative analysis of the myelin g-ratio from electron microscopy images of the macaque corpus callosum

Nikola Stikov; Jennifer S. W. Campbell; Thomas Stroh; Mariette Lavelée; Stephen Frey; Jennifer Novek; Stephen Nuara; Ming-Kai Ho; Barry J. Bedell; Robert F. Dougherty; Ilana R. Leppert; Mathieu Boudreau; Sridar Narayanan; Tanguy Duval; Julien Cohen-Adad; Paul-Alexandre Picard; Alicja Gasecka; Daniel Côté; G. Bruce Pike

We provide a detailed morphometric analysis of eight transmission electron micrographs (TEMs) obtained from the corpus callosum of one cynomolgus macaque. The raw TEM images are included in the article, along with the distributions of the axon caliber and the myelin g-ratio in each image. The distributions are analyzed to determine the relationship between axon caliber and g-ratio, and compared against the aggregate metrics (myelin volume fraction, fiber volume fraction, and the aggregate g-ratio), as defined in the accompanying research article entitled ‘In vivo histology of the myelin g-ratio with magnetic resonance imaging’ (Stikov et al., NeuroImage, 2015).


NeuroImage | 2017

Promise and pitfalls of g-ratio estimation with MRI

Jennifer S. W. Campbell; Ilana R. Leppert; Sridar Narayanan; Mathieu Boudreau; Tanguy Duval; Julien Cohen-Adad; G. Bruce Pike; Nikola Stikov

Abstract The fiber g‐ratio is the ratio of the inner to the outer diameter of the myelin sheath of a myelinated axon. It has a limited dynamic range in healthy white matter, as it is optimized for speed of signal conduction, cellular energetics, and spatial constraints. In vivo imaging of the g‐ratio in health and disease would greatly increase our knowledge of the nervous system and our ability to diagnose, monitor, and treat disease. MRI based g‐ratio imaging was first conceived in 2011, and expanded to be feasible in full brain white matter with preliminary results in 2013. This manuscript reviews the growing g‐ratio imaging literature and speculates on future applications. It details the methodology for imaging the g‐ratio with MRI, and describes the known pitfalls and challenges in doing so. HighlightsThis article reviews the recently developed g‐ratio imaging framework.Confounds in the methodology are detailed.Recent progress and applications are reviewed.


Journal of Magnetic Resonance Imaging | 2017

B1 mapping for bias-correction in quantitative T 1 imaging of the brain at 3T using standard pulse sequences: B1 Maps for Quantitative T 1

Mathieu Boudreau; Christine L. Tardif; Nikola Stikov; John G. Sled; Wayne Lee; G. Bruce Pike

B1 mapping is important for many quantitative imaging protocols, particularly those that include whole‐brain T1 mapping using the variable flip angle (VFA) technique. However, B1 mapping sequences are not typically available on many magnetic resonance imaging (MRI) scanners. The aim of this work was to demonstrate that B1 mapping implemented using standard scanner product pulse sequences can produce B1 (and VFA T1) maps comparable in quality and acquisition time to advanced techniques.


Magnetic Resonance in Medicine | 2018

B1‐sensitivity analysis of quantitative magnetization transfer imaging

Mathieu Boudreau; Nikola Stikov; G. Bruce Pike

To evaluate the sensitivity of quantitative magnetization transfer (qMT) fitted parameters to B1 inaccuracies, focusing on the difference between two categories of T1 mapping techniques: B1‐independent and B1‐dependent.


Magnetic Resonance in Medicine | 2018

Sensitivity regularization of the Cramér-Rao lower bound to minimize B1 nonuniformity effects in quantitative magnetization transfer imaging

Mathieu Boudreau; G. Bruce Pike

To develop and validate a regularization approach of optimizing B1 insensitivity of the quantitative magnetization transfer (qMT) pool‐size ratio (F).


The Journal of Neuroscience | 2003

Cell Cycle Regulators in the Neuronal Death Pathway of Amyotrophic Lateral Sclerosis Caused by Mutant Superoxide Dismutase 1

Minh Dang Nguyen; Mathieu Boudreau; Jasna Kriz; Sebastien Couillard-Despres; David R. Kaplan; Jean-Pierre Julien


Concepts in Magnetic Resonance Part A | 2015

Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization

Jean-François Cabana; Ye Gu; Mathieu Boudreau; Ives R. Levesque; Yaaseen Atchia; John G. Sled; Sridar Narayanan; Douglas L. Arnold; G. Bruce Pike; Julien Cohen-Adad; Tanguy Duval; Manh-Tung Vuong; Nikola Stikov

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Dive into the Mathieu Boudreau's collaboration.

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Nikola Stikov

École Polytechnique de Montréal

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Sridar Narayanan

Montreal Neurological Institute and Hospital

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Ilana R. Leppert

Montreal Neurological Institute and Hospital

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Julien Cohen-Adad

French Institute of Health and Medical Research

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Tanguy Duval

École Polytechnique de Montréal

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Barry J. Bedell

Montreal Neurological Institute and Hospital

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Jennifer Novek

Montreal Neurological Institute and Hospital

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Jennifer S. W. Campbell

Montreal Neurological Institute and Hospital

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