Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model.

Ficiarà, Eleonora; Crespi, Valentino; Gadewar, Shruti Prashant; Thomopoulos, Sophia I; Boyd, Joshua; Thompson, Paul M; Jahanshad, Neda; Pizzagalli, Fabrizio

Ficiarà, Eleonora; Crespi, Valentino; Gadewar, Shruti Prashant; Thomopoulos, Sophia I; Boyd, Joshua; Thompson, Paul M; Jahanshad, Neda; Pizzagalli, Fabrizio.

Afiliação

Ficiarà E; Department of Neurosciences, University of Turin, Italy.
Crespi V; Information Sciences Institute (ISI), AI Division, University of Southern California, USA.
Gadewar SP; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Thomopoulos SI; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Boyd J; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Thompson PM; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Jahanshad N; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.
Pizzagalli F; Department of Neurosciences, University of Turin, Italy.

Proc IEEE Int Symp Biomed Imaging ; 2021: 1145-1149, 2021 Apr.

Article em En | MEDLINE | ID: mdl-35321154

Palavras-chave

Alzheimer's disease; MRI; Markov model; sulcal morphometry

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Proc IEEE Int Symp Biomed Imaging Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália País de publicação: Estados Unidos

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