Grant: Project Grant
Université Laval
$489,600.00
An integrative brain health model for the individual prediction of cognitive decline
FY 2017-18
Summary
The concept of "brain health" has been proposed to capture the relationship between the state of the brain and cognitive fitness. We propose to model this brain health by looking at various elements of neuronal health. We further wish to link brain health to cognition, in the context of healthy aging and probable Alzheimer's disease. We wish to test the hypothesis that as brain health declines, so does cognition. This type of integrative work is missing in the field, and we feel confident, using large scale databases and state of the art mathematical modelling and machine learning approaches, that we can produce a model which will predict decline years ahead of diagnostic. This would provide individuals with sufficient time to take measures to improve their general health and lifestyle in order to maintain brain health and cognition.
Department
Program
Project Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
381241
Name
Duchesne Simon
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Clinical
Prcname2
Biological and Clinical Aspects of Aging
Projecttitle
An integrative brain health model for the individual prediction of cognitive decline
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$489,600
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Alzheimer'S Disease; Brain Health; Cerebrovascular Integrity; Integrative Model; Metabolic Integrity; Mild Cognitive Impairment; Myelin Integrity; Neuroimaging Proxies; Neuronal Integrity; Systemic Variables
Abstract
The concept of "brain health" has been proposed to capture the relationship between the state of the brain and cognitive fitness. We propose to model this brain health by looking at various elements of neuronal health. We further wish to link brain health to cognition, in the context of healthy aging and probable Alzheimer's disease. We wish to test the hypothesis that as brain health declines, so does cognition. This type of integrative work is missing in the field, and we feel confident, using large scale databases and state of the art mathematical modelling and machine learning approaches, that we can produce a model which will predict decline years ahead of diagnostic. This would provide individuals with sufficient time to take measures to improve their general health and lifestyle in order to maintain brain health and cognition.
Competitiondate
201803
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Duchesne, Simon
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $489,600~ $0~
