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Grant: Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships

York University (Toronto, Ontario)

$105,000.00

Modulation of Neural Network Biomarkers in Aging and Alzheimer's Disease

EF 2014-15

Résumé
Alzheimer's Disease (AD) is a devastating and pervasive illness. This disease has severe psychological, social and economic impacts on those affected, as well as their loved ones and society at large. AD is predicted to affect over one million Canadians in the next 30 years, with an estimated economic burden of over $150 billion. There is a clear need to identify brain changes that predict the onset of AD as early as possible. Developing early indicators of AD will broaden the treatment window for intervention and potentially lessen the impact of the disease. Functional Magnetic Resonance Imaging (fMRI) research suggests that patterns of connectivity amongst various brain regions may be different in people who go on to develop AD versus those who do not. Our research program will investigate this possibility in two separate studies. First, we will measure how different brain regions interact in healthy older adult as compared to older adults with AD. We have secured access to one of the most comprehensive collections of fMRI scans of AD patients, the Alzheimer's Disease Neuroimaging Initiative. This dataset contains longitudinal brain and behavioural data on over 500 AD, pre-clinical AD and healthy older adults. Data from this cohort will be analyzed to identify the specific patterns of functional brain activity that are predictive of AD onset. Second, we will investigate whether these patterns of brain activity are malleable in older adults using a task-based intervention. Using brain activity to predict AD onset and training the brain to improve its function may lead to the discovery of valuable markers of brain-health and crucial measures of treatment efficacy. If successful, this research will open opportunities for novel brain-based interventions to slow the trajectory of cognitive decline in aging and neurodegenerative disease. In a rapidly aging population, this may benefit the quality of life of millions of Canadians and countless people worldwide.
Programme
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
327916
Name
Lemire-Rodger Sabrina
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Clinical
Prcname2
Doctoral Research Awards - A
Projecttitle
Modulation of Neural Network Biomarkers in Aging and Alzheimer's Disease
Programtype2
Studentship Programs
Orgnameinp2
York University (Toronto, Ontario)
Cihramount2
$105,000
Cihrequipment2
$0
Programname2
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Keyworddelim
Alzheimer'S Disease; Biomarkers; Default Mode Network; Executive Functioning; Functional Connectivity; Healthy Aging; Mild Cognitive Impairment; Neuroimaging; Neuropsychology; Resting State
Abstract
Alzheimer's Disease (AD) is a devastating and pervasive illness. This disease has severe psychological, social and economic impacts on those affected, as well as their loved ones and society at large. AD is predicted to affect over one million Canadians in the next 30 years, with an estimated economic burden of over $150 billion. There is a clear need to identify brain changes that predict the onset of AD as early as possible. Developing early indicators of AD will broaden the treatment window for intervention and potentially lessen the impact of the disease. Functional Magnetic Resonance Imaging (fMRI) research suggests that patterns of connectivity amongst various brain regions may be different in people who go on to develop AD versus those who do not. Our research program will investigate this possibility in two separate studies. First, we will measure how different brain regions interact in healthy older adult as compared to older adults with AD. We have secured access to one of the most comprehensive collections of fMRI scans of AD patients, the Alzheimer's Disease Neuroimaging Initiative. This dataset contains longitudinal brain and behavioural data on over 500 AD, pre-clinical AD and healthy older adults. Data from this cohort will be analyzed to identify the specific patterns of functional brain activity that are predictive of AD onset. Second, we will investigate whether these patterns of brain activity are malleable in older adults using a task-based intervention. Using brain activity to predict AD onset and training the brain to improve its function may lead to the discovery of valuable markers of brain-health and crucial measures of treatment efficacy. If successful, this research will open opportunities for novel brain-based interventions to slow the trajectory of cognitive decline in aging and neurodegenerative disease. In a rapidly aging population, this may benefit the quality of life of millions of Canadians and countless people worldwide.
Competitiondate
201410
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Lemire-Rodger, Sabrina
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $105,000~ $0~