Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer’s using machine learning

BACKGROUND: The pathological process of Alzheimer’s disease (AD) typically takes decades from onset to clinical symptoms. Early brain changes in AD include MRI-measurable features such as altered functional connectivity (FC) and white matter degeneration. The ability of these features to discriminat...

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Detalles Bibliográficos
Autores principales: Diao, Yujian, Lanz, Bernard, Jelescu, Ileana Ozana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629161/
https://www.ncbi.nlm.nih.gov/pubmed/37936236
http://dx.doi.org/10.1186/s13195-023-01328-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629161/
https://www.ncbi.nlm.nih.gov/pubmed/37936236
http://dx.doi.org/10.1186/s13195-023-01328-0

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