Multiple Sclerosis Society of Canada

Therapy and Clinical Tool Development

Studies in this area help identify and test new biological targets and diagnostic methods, which can lead to the development of viable therapies for people living with MS. This research focuses on areas such as clinical trials, drug repurposing, imaging, and health-based technological applications.


Project Title
Funding Term
Effects of FES cycling combining leg and trunk muscle stimulations in persons with multiple sclerosis: a pilot study Dr. Andreanne Blanchette Université Laval 2018-2021 $42 217
Mesenchymal stem cell transplantation (MSCT): a potential cell based treatment for inflammatory forms of multiple sclerosis Dr. Mark Freedman Multiple 2015-2019 $4 500 000
Establising an Imaging Biomarker for Disease Progression in Multiple Sclerosis Dr. Shannon Kolind University of British Columbia 2017-2020 $292 500
The importance of diffusely abnormal white matter on disability and progression in multiple sclerosis: insights from imaging and immunology Dr. Cornelia Laule The University of British Columbia 2015-2019 $343 726.80
Impact of Disease-Modifying Therapy on Relapse Rates and Health Care Resource Utilization Dr. James Marriott University of Manitoba 2015-2019 $69 014.82
The pathologic basis of magnetic resonance imaging in multiple sclerosis Dr. George Robert Moore University of British Columbia 2018-2021 $350 212.42
A double-blind placebo controlled study of mixed-amphetamine salts, extended release (Adderall XR) for cognitive impairment in MS Dr. Sarah Morrow Western University 2016-2019 $161 325
Gait parameters as predictors of functional recovery in a mouse model of MS Dr. George Robertson Dalhousie University 2017-2020 $300 185
Expansion of antigen-specific regulatory networks for the treatment of CNS autoimmunity Dr. Pere Santamaria University of Calgary 2016-2019 $342 300
Assessing safety monitoring in patients taking oral multiple sclerosis treatments [ASYMPTOTE] Dr. Helen Tremlett The University of British Columbia 2015-2019 $286 694.37
MRI of Deep Grey Matter in Multiple Sclerosis Dr. Alan Wilman University of Alberta 2017-2020 $280 500
Assessing remyelination in the presence of myelin debris using MRI Dr. Yunyan Zhang University of Calgary 2016-2019 $289 954


Project Title
Project Description

Pilot Trial of Domperidone for Remyelination in Multiple


Wei-Qiao Liu

University of Calgary

Studentship PhD MD

A major unmet need in the management of MS is improving the

healing and repair of damage caused by relapses. The

project is a clinical trial studying if domperidone (a safe

oral drug) can improve repair in people with relapsing MS.

Diffusely Abnormal White Matter in Different MS Phenotypes:

Impact on Myelin, Axons and Brain Volume

Hanwen Liu

The University of British Columbia

Studentship PhD

This project is using magnetic resonance imaging (MRI) to

image myelin, particularly an advanced MRI technique called

myelin water imaging.

Magnetic Resonance Imaging and Spectroscopy of Human Spinal

Cord in Multiple Sclerosis

Carina Graf

The University of British Columbia

Studentship Msc

This project investigates the nature of changes in the

spinal cord of people living with MS using advanced

magnetic resonance imaging (MRI). In contrast to standard

MRI techniques, advanced MRI will be able to specify what

changes are happening in the spinal cord.

Evaluating relationships between structural and functional

visual pathway abnormalities in youth with demyelination:

Visual evoked cortical magnetic responses and Optical

Coherence Tomography (OCT)

Riyeon Kim

The Hospital for Sick Children

Studentship Msc

The project investigates functional changes in vision

caused by injury to the visual pathway observed from MS

patients using visual evoked potential. This study will

establish new knowledge about markers of disease activity

for future clinical trials.

Using Artificial Intelligence to Predict Clinical

Progression in Multiple Sclerosis using Brain MRIs

Marco Law

The University of British Columbia

Studentship Msc

The project focuses on applying artificial intelligence for

the prediction of MS disease progression using magnetic

resonance imaging and clinical data. This would provide

vital information for patients to make better informed

decisions regarding disease management.

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