Automated analysis of lexical features in Frontotemporal Degeneration

We implemented an automated analysis of lexical aspects of semi-structured speech produced by healthy elderly controls (n=37) and three patient groups with frontotemporal degeneration (FTD): behavioral variant FTD (n=74), semantic variant primary progressive aphasia (svPPA, n=42), and nonfluent/agra...

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Detalles Bibliográficos
Autores principales: Cho, Sunghye, Nevler, Naomi, Ash, Sharon, Shellikeri, Sanjana, Irwin, David J., Massimo, Lauren, Rascovsky, Katya, Olm, Christopher, Grossman, Murray, Liberman, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654918/
https://www.ncbi.nlm.nih.gov/pubmed/33173922
http://dx.doi.org/10.1101/2020.09.10.20192054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654918/
https://www.ncbi.nlm.nih.gov/pubmed/33173922
http://dx.doi.org/10.1101/2020.09.10.20192054

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