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Network Neurodegeneration in Alzheimer's Disease (NOMAD)
Date du début: 7 avr. 2014, Date de fin: 6 avr. 2017 PROJET  TERMINÉ 

Alzheimer’s disease (AD) is a highly prevalent neurodegenerative disease associated with gradual loss of cognitive functions and brain vitality. The leading “amyloid cascade” hypothesis for the pathogenesis of AD states that amyloid-β (Aβ) starts to accumulate ~15 years before symptom onset and starts a cascade of pathological events, including aggregation of tau. It is known (mainly from post-mortem and animal studies) that these proteins may cause disruptions in brain networks, neurodegeneration and eventually cognitive decline. It is unclear, however, how these processes interact in the living human brain and this incomplete understanding of disease mechanisms may partially account for the lack of successful treatment options to date. The recent advent of a novel PET tracer for tau, however, allows for the very first time in-depth testing of the amyloid cascade hypothesis in vivo. Drawing on state-of-the-art PET and MRI techniques, this project will investigate how Aβ, tau and neurodegeneration relate to each other and to brain connectivity. More specifically, it will 1) unravel spatial overlap between the AD hallmark pathologies and neurodegeneration, and 2) investigate how the brain’s functional architecture shapes vulnerability to Aβ, tau and neurodegeneration in AD. This project offers an innovative and multidisciplinary “network model of neurodegeneration” approach to the problem of clinical, anatomical and molecular heterogeneity in AD. By producing high-quality output and using the international networks of University of California San Francisco (outgoing host) and VU University Medical Center (return host), this fellowship will play a vital role in diversifying and consolidating the fellow’s new research line. He will be exceptionally well prepared to design and develop his own research program in AD and undertake international competitive research within the European Research Area that integrates cutting-edge neuroimaging and cognitive measures.

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