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ID06529744

Predicting Progression in Mild Cognitive Impairment and Early Dementia Using Biomarkers and Modeling in Neurodegenerative Diseases

Led by University Health Network, Toronto · Updated on 2025-11-20

500

Participants Needed

4

Research Sites

52 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are working to develop a model that can predict how diseases progress in patients with various neurodegenerative conditions, including Mild Cognitive Impairment MCI and different types of dementia such as Alzheimers Disease, Lewy Body Disease, Vascular Dementia, and Frontotemporal Dementia. The study aims to improve diagnosis and forecasting of disease progression to better support patients with early dementia or cognitive impairment. The study will collect and evaluate several types of information from participants, including brain imaging with MRI, samples of blood and cerebrospinal fluid, skin biopsies, and assessments of cognitive ability and behavior through questionnaires. These tests will be done at baseline and during follow-up visits to gather detailed data on disease characteristics and progression. Participants will undergo evaluations at the start of the study, then again at 6 months and 1 year to monitor changes in cognition and other markers. The research team will analyze cognitive performance, DNA methylation from blood samples, neurodegenerative protein levels in fluids and skin, and brain structure and function via MRI. Participants will be monitored over time to provide data that may help predict how their condition changes.

CONDITIONS

Brief Title

Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling

Research Team

C

Claudia Clementi, HBSc

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