Grant: Project Grant
Université Laval
$501,076.00
Computational neuroscience modelling of cognitively healthy aging and Alzheimer's disease
FY 2021-22
Summary
Trying to understand Alzheimer's disease (AD) means keeping in mind dozens of different variables all interacting together in myriad ways. Testing theories about the effects of these combinations in reality is therefore excessively hard. We aim first to develop a mathematical model of all of these factors in successful (i.e. cognitively healthy) aging. Next, we will integrate multiple facets of AD and test the model against real-life examples of disease course. Finally, we will virtually implement a non-pharmacological metabolic intervention study and compare theoretical against real results. If successful, our model will then allow us to test first in a computer what is the best regimen of interventions for any one individual, rather than proceed in a haphazard way in reality.
Department
Program
Project Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
451686
Name
Duchesne Simon
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Biomedical
Prcname2
Biological and Clinical Aspects of Aging
Projecttitle
Computational neuroscience modelling of cognitively healthy aging and Alzheimer's disease
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$501,076
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Aging; Alzheimer'S Disease; Computational Neuroscience; Mathematical Model; Microscale; Model Validation; Neurometabolism; Neuropathology; Neurovascular Unit; Non-Pharmacological Interventions
Abstract
Trying to understand Alzheimer's disease (AD) means keeping in mind dozens of different variables all interacting together in myriad ways. Testing theories about the effects of these combinations in reality is therefore excessively hard. We aim first to develop a mathematical model of all of these factors in successful (i.e. cognitively healthy) aging. Next, we will integrate multiple facets of AD and test the model against real-life examples of disease course. Finally, we will virtually implement a non-pharmacological metabolic intervention study and compare theoretical against real results. If successful, our model will then allow us to test first in a computer what is the best regimen of interventions for any one individual, rather than proceed in a haphazard way in reality.
Competitiondate
202109
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Duchesne, Simon
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $501,076~ $0~
