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

Détails

Ressource 1Télécharger: 37936236_BIB_36DDC45EF207.pdf (3550.92 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_36DDC45EF207
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
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
Périodique
Alzheimer Research and Therapy
Auteur⸱e⸱s
Diao Yujian, Lanz Bernard, Jelescu Ileana Ozana
ISSN
1758-9193
Statut éditorial
Publié
Date de publication
07/11/2023
Peer-reviewed
Oui
Langue
anglais
Mots-clé
Cognitive Neuroscience, Neurology (clinical), Neurology
Pubmed
Open Access
Oui
Financement(s)
Fonds national suisse / Carrières / PCEFP2_194260
Université de Lausanne
Création de la notice
26/10/2023 17:46
Dernière modification de la notice
25/01/2024 8:34
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