Grant: Operating Grant - PA: Aging - Optimizing population health and wellness
Centre for Addiction and Mental Health (Toronto)
$100,000.00
Imaging-genetics biomarkers for disease risk in Alzheimer's Disease.
EF 2013-14
Résumé
Alzheimer's disease represents a mounting challenge to our nation's healthcare system. Individuals that suffer from Alzheimer's disease typically suffer from an illness known as mild cognitive impairment (MCI) first. Our preliminary data for this application shows that those individuals that convert from MCI to Alzheimer's demonstrate patterns of brain degeneration that are detectable at least one year before they convert. We then analyzed the neuroanatomy of individuals that were stable at MCI over the course of one year found that known genes that augment risk for disease may also predict this pattern of brain degeneration. The goal of this proposal is to combine genetic and magnetic resonance imaging data to provide a more accurate index of this conversion. A successful application will have a broad impact on health care and may provide potential targets for drug development.
Programme
Operating Grant - PA: Aging - Optimizing population health and wellness
Bénéficiaire
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
309425
Name
Chakravarty Mallar
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Biomedical
Prcname2
Biological and Clinical Aspects of Aging
Projecttitle
Imaging-genetics biomarkers for disease risk in Alzheimer's Disease.
Programtype2
Operating Grants
Orgnameinp2
Centre for Addiction and Mental Health (Toronto)
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Operating Grant - PA: Aging - Optimizing population health and wellness
Keyworddelim
Alzheimer'S Disease; Computational Neuroanatomy; Mild Cognitive Impairment; Mri; Temporal Lobes
Abstract
Alzheimer's disease represents a mounting challenge to our nation's healthcare system. Individuals that suffer from Alzheimer's disease typically suffer from an illness known as mild cognitive impairment (MCI) first. Our preliminary data for this application shows that those individuals that convert from MCI to Alzheimer's demonstrate patterns of brain degeneration that are detectable at least one year before they convert. We then analyzed the neuroanatomy of individuals that were stable at MCI over the course of one year found that known genes that augment risk for disease may also predict this pattern of brain degeneration. The goal of this proposal is to combine genetic and magnetic resonance imaging data to provide a more accurate index of this conversion. A successful application will have a broad impact on health care and may provide potential targets for drug development.
Competitiondate
201403
Approvedterm2
1 yr 0 mth
Pinamesdelim
Chakravarty, Mallar; Pruessner, Jens C
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~