Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling
Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling
To develop a model to predict disease progression in a large cohort of patients across a variety of neurodegenerative diseases, including Mild Cognitive Impairment (MCI) and dementia due to any neurodegenerative disease, including Alzheimer's Disease (AD), Lewy Body Disease (LBD), Vascular Disease (VaD) and Frontotemporal lobar degeneration (FTLD).
The goal of this study is to create a model to predict disease progression in patients with mild cognitive impairments and forms of dementia. To accomplish this, the current study will evaluate different tests including: brain imaging (MRI), body fluid samples (blood and cerebrospinal fluid), skin biopsy, cognitive ability, and behavioural questionnaires. The study team hopes that this information can be used to guide diagnosis and better predict disease progression in patients with mild cognitive impairment and and early dementia.
Inclusion Criteria:
Exclusion Criteria:
claudia.clementi@uhn.ca416-603-5914
North York, Ontario M6A 2E1, Canada
amumtaz@research.baycrest.org416-785-2500 ext. 6324
ljubica.zotovic@sunnybrook.ca416-480-6100 ext. 3004
claudia.clementi@uhn.ca416-603-5914
Loreque.Fearon@camh.ca416-535-8501 ext. 39589