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Machine learning in the clinical and language characterisation of primary progressive aphasia variants

Authors

"Jordi A.Matias-GuiuaJosefaDíaz-ÁlvarezbFernandoCuetoscdMaría NievesCabrera-MartíneIgnacioSegovia-RíosbVanesaPytelaTeresaMoreno-RamosaJosé L.CarreraseJorgeMatías-GuiuaJosé L.Ayalaf panelJordi A.Matias-Guiu, Josefa Díaz-Álvarez, Fernando Cuetos, María Nieves Cabrera-Martín, Ignacio Segovia-Ríos, Vanesa Pytel, Teresa Moreno-Ramos, José L. Carreras, Jorge Matías-Guiua, José L. Ayala"

Journal Paper

https://doi.org/10.1016/j.cortex.2019.05.007

Publisher URL

https://www.sciencedirect.com/

Publication date

October 2019

Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin with 3 main variants: non-fluent, semantic, and logopenic. However, there is some controversy about the existence of additional subtypes. Our aim was to study the language and cognitive features associated with a new proposed classification for PPA.