Project description
Linking white matter biology to progression in Alzheimer’s
The white matter of the brain consists mainly of myelinated axons and serves as the brain’s communication network, sending signals to various brain regions. In Alzheimer’s disease (AD), white matter changes are increasingly recognised as important drivers of cognitive decline. MRI scans can measure alterations in white matter structure, but the underlying biological processes remain poorly understood. With the support of the Marie Skłodowska-Curie Actions programme, the WHY-AD project aims to identify the biological pathways that cause white matter dysfunction. In this context, researchers will integrate MRI data with genetics and proteomics across cohorts spanning the AD spectrum. They will build data-driven models of disease progression and test them in clinical settings for AD diagnosis and prognosis.
Objective
White matter (WM) is being increasingly studied in Alzheimer’s disease (AD) as a possible key pathological driver. In-vivo, WM health can be measured through several metrics derived from diffusion weighted imaging (DWI). While these metrics provide information about the WM micro- and macro-structural alterations, the biological processes determining such changes is often unclear. Characterizing these biological pathways is crucial for a more refined use of MRI in the clinics and for building accurate disease models for individualized prediction. In this work, we will use several cohorts covering the AD spectrum with both available MRI and biological data (genetics, proteomics). We will first perform a characterization of the biological pathways that provoke WM dysfunction in different stages of AD. Subsequently, we will use this information to build data-driven models of disease progression and spreading. Finally, we will test the applicability of these models in data from memory clinics.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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16126 GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.