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Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration.

Naomi NevlerSunghye ChoKatheryn Alexandra Quilico CousinsSharon AshChristopher A OlmSanjana ShellikeriGalit AgmonCarmen Gonzalez-RecoberEleni-Rosalina AndrinopoulouMegan S BarkerMasood ManoochehriCorey T McMillanDavid John IrwinLauren MassimoLaynie DratchGayathri CheranEdward D HueyStephanie A CosentinoVivanna M Van DeerlinMark Y LibermanMurray Grossman
Published in: Neurology (2023)
Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical outcome assessment tool in FTD, where objective and quantifiable measures for abnormal behavior and language are lacking.
Keyphrases
  • hearing loss
  • autism spectrum disorder
  • machine learning
  • deep learning
  • copy number
  • gene expression
  • risk assessment
  • genome wide