Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering

BACKGROUND AND OBJECTIVES: Recent studies fueled doubts as to whether all currently defined central disorders of hypersomnolence are stable entities, especially narcolepsy type 2 and idiopathic hypersomnia. New reliable biomarkers are needed, and the question arises of whether current diagnostic cri...

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Detalles Bibliográficos
Autores principales: Gool, Jari K., Zhang, Zhongxing, Oei, Martijn S.S.L., Mathias, Stephanie, Dauvilliers, Yves, Mayer, Geert, Plazzi, Giuseppe, del Rio-Villegas, Rafael, Cano, Joan Santamaria, Šonka, Karel, Partinen, Markku, Overeem, Sebastiaan, Peraita-Adrados, Rosa, Heinzer, Raphael, Martins da Silva, Antonio, Högl, Birgit, Wierzbicka, Aleksandra, Heidbreder, Anna, Feketeova, Eva, Manconi, Mauro, Bušková, Jitka, Canellas, Francesca, Bassetti, Claudio L., Barateau, Lucie, Pizza, Fabio, Schmidt, Markus H., Fronczek, Rolf, Khatami, Ramin, Lammers, Gert Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202524/
https://www.ncbi.nlm.nih.gov/pubmed/35437263
http://dx.doi.org/10.1212/WNL.0000000000200519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202524/
https://www.ncbi.nlm.nih.gov/pubmed/35437263
http://dx.doi.org/10.1212/WNL.0000000000200519

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