Structural parameters are superior to eigenvector centrality in detecting progressive supranuclear palsy with machine learning & multimodal MRI-Reference-Cited by-同舟云学术

Structural parameters are superior to eigenvector centrality in detecting progressive supranuclear palsy with machine learning & multimodal MRI

Published:2024-08 Issue:15 Volume:10 Page:e34910
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Albrecht Franziska^ORCID,Mueller Karsten^ORCID,Ballarini Tommaso^ORCID,Fassbender Klaus,Wiltfang Jens,Danek Adrian,Diehl-Schmid Janine,Jahn Holger,Kassubek Jan,Kornhuber Johannes,Landwehrmeyer Bernhard,Lauer Martin,Prudlo Johannes,Schneider Anja,Ludolph Albert C.,Fliesbach Klaus,Anderl-Straub Sarah,Brüggen Katharina,Fischer Marie,Förstl Hans,Hammer Anke,Homola György,Just Walter,Levin Johannes,Marroquin Nicolai,Marschhauser Anke,Pino Danielé,Nagl Magdalena,Oberstein Timo,Hüper Lea,Polyakova Maryna,Pellkofer Hannah,Richter-Schmidinger Tanja,Rossmeier Carola,Kulko Marianna,Semler Elisa,Spottke Annika,Steinacker Petra,Thöne-Otto Angelika,Uttner Ingo,Zech Heike,Otto Markus,Jech Robert,Schroeter Mattias L.

Funder

Czech Science Foundation

Michael J Fox Foundation for Parkinson's Research

German Federal Ministry of Health

German Research Foundation

Parkinson's Disease Foundation Inc

Czech Republic Ministry of Health

Publisher

Elsevier BV

Reference22 articles.

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5. Abnormal resting-state functional connectivity in progressive supranuclear palsy and corticobasal syndrome;Bharti;Front. Neurol.,2017