Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Project Grant

University of British Columbia

$841,270.00

In silico Design of Precision Electrical Stimuli for Electrical Vestibular Stimulation in Parkinson's Disease.

EF 2020-21

Résumé
Stimulating the balance organ, by applying a mild electrical current via electrodes behind the ears (at a level so low that people can't even feel) is an exciting potential treatment for Parkinson's disease. It is safe, non-invasive, inexpensive, and portable, but the effects of this therapy are relatively mild, and depend upon the exact sequence of electrical pulses delivered. We believe that if we tailor the sequence of pulses to the individual, we can dramatically improve the effectiveness of this potential therapy. However, if we were to apply many, many different sequences of pulses and then check how much this improved their Parkinson's symptoms, it would take far too long, and we wouldn't be able to check very many sequences to determine the best one before people got tired. We get around this problem by stimulating while measuring both the brain waves and brain activation in an MRI scanner. We then use Artificial Intelligence to predict what the brain's response would be to any sequence of pulses. This allows us to use a computer to check millions and millions of potential sequences to determine the best one for that individual. We will then take this best sequence, as predicted by the computer, and test it in actual subjects to verify that this results in substantial improvement in their motor symptoms. To achieve these goals, we have assembled an expert team of a Parkinson's doctor, engineers and artificial intelligence experts. Success of this project would demonstrate a way to significantly improve the effectiveness of this novel treatment for Parkinson's disease.
Programme
Project Grant
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
435586
Name
Mckeown Martin J
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Clinical
Prcname2
Behavioural Sciences - B-2
Projecttitle
In silico Design of Precision Electrical Stimuli for Electrical Vestibular Stimulation in Parkinson's Disease.
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$841,270
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Brain Oscillations; Deep Learning; Dynamical System Models; Eeg; Fmri; Parkinson'S Disease; Precision Medicine; Vestibular Function
Abstract
Stimulating the balance organ, by applying a mild electrical current via electrodes behind the ears (at a level so low that people can't even feel) is an exciting potential treatment for Parkinson's disease. It is safe, non-invasive, inexpensive, and portable, but the effects of this therapy are relatively mild, and depend upon the exact sequence of electrical pulses delivered. We believe that if we tailor the sequence of pulses to the individual, we can dramatically improve the effectiveness of this potential therapy. However, if we were to apply many, many different sequences of pulses and then check how much this improved their Parkinson's symptoms, it would take far too long, and we wouldn't be able to check very many sequences to determine the best one before people got tired. We get around this problem by stimulating while measuring both the brain waves and brain activation in an MRI scanner. We then use Artificial Intelligence to predict what the brain's response would be to any sequence of pulses. This allows us to use a computer to check millions and millions of potential sequences to determine the best one for that individual. We will then take this best sequence, as predicted by the computer, and test it in actual subjects to verify that this results in substantial improvement in their motor symptoms. To achieve these goals, we have assembled an expert team of a Parkinson's doctor, engineers and artificial intelligence experts. Success of this project would demonstrate a way to significantly improve the effectiveness of this novel treatment for Parkinson's disease.
Competitiondate
202010
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Mckeown, Martin J
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $841,270~ $0~