Structural connectivity centrality changes mark the path toward Alzheimer's disease.

Peraza, Luis R; Díaz-Parra, Antonio; Kennion, Oliver; Moratal, David; Taylor, John-Paul; Kaiser, Marcus; Bauer, Roman

Peraza, Luis R; Díaz-Parra, Antonio; Kennion, Oliver; Moratal, David; Taylor, John-Paul; Kaiser, Marcus; Bauer, Roman.

Afiliação

Peraza LR; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
Díaz-Parra A; Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain.
Kennion O; Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Moratal D; Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain.
Taylor JP; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
Kaiser M; Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.
Bauer R; Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.

Alzheimers Dement (Amst) ; 11: 98-107, 2019 Dec.

Article em En | MEDLINE | ID: mdl-30723773

Palavras-chave

Alzheimer's disease; Computational modeling; Diffusion MRI; Machine learning; Network centrality; Structural brain connectivity

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Alzheimers Dement (Amst) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

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