Brain simulation augments machine‐learning–based classification of dementia

Brain simulation augments machine‐learning–based classification of dementia

ABSTRACT Introduction Computational brain network modeling using The Virtual Brain (TVB) simulation platform acts synergistically with machine learning (ML) and multi‐modal neuroimaging to reveal mechanisms and improve diagnostics in Alzheimer's disease (AD). Methods We enhance large‐scale whol...

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Bibliografiska uppgifter
Huvudupphovsmän: Paul Triebkorn, Leon Stefanovski, Kiret Dhindsa, Margarita‐Arimatea Diaz‐Cortes, Patrik Bey, Konstantin Bülau, Roopa Pai, Andreas Spiegler, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter, for the Alzheimer's Disease Neuroimaging Initiative
Materialtyp: Artikel
Språk:English
Publicerad: Wiley 2022-01-01
Serie:Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Ämnen:
Alzheimer's disease
machine learning
multi‐scale brain simulation
positron emission tomography
The Virtual Brain
Länkar:https://doi.org/10.1002/trc2.12303

Internet

https://doi.org/10.1002/trc2.12303

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