Journal article
Analytical validation of digital measure of intelligibility in progressive supranuclear palsy
Frontiers in neuroscience, Vol.20, 1961535
09/28/2026
DOI: 10.3389/fnins.2026.1961535
PMCID: PMC13655066
PMID: 42865502
Abstract
Introduction:
Progressive supranuclear palsy (PSP) causes progressive speech impairment. Digital speech analysis can objectively and remotely quantify measures like intelligibility, typically judged subjectively by experts during clinical visits. The objective of this study is to validate digital intelligibility measurement in PSP via BioDigit Speech (BioSensics LLC, United States).
Methods:
Forty-nine PSP patients performed standardized passage-reading scored by BioDigit Speech and three experts (18 + years of experience); expert mean score (EMS) served as the reference standard.
Results:
Digital intelligibility showed high correlation and agreement with EMS (r = 0.90, ICC = 0.84 in native speakers), while systematically scoring below EMS. Moreover, the digital measure discriminated PSP clinical severity as well as or better than EMS, particularly for PSP-QoL-11 with a steeper standardized response. Correlations of digital measure with the clinical scales were moderate (up to −0.51), significant (p-values <0.02) and consistently higher than the ones of EMS. Raters appeared to use top-down information to recover underlying messages, resulting in saturated scores near 1.0 and low-to-moderate inter-rater agreement.
Conclusion:
Collected remotely with minimal burden, digital speech measures like intelligibility may serve as objective, sensitive outcomes for communication-focused interventions and PSP trials.
Details
- Title: Subtitle
- Analytical validation of digital measure of intelligibility in progressive supranuclear palsy
- Creators
- İlkay Yıldız PotterRam Kinker Mishra - BioSensics (United States)Tejas Pawar - BioSensics (United States)Jesse Wang - Harvard UniversityAntje S. Mefferd - Vanderbilt University Medical CenterMichael de Riesthal - Vanderbilt University Medical CenterMili Kuruvilla-Dugdale - University of IowaAnne-Marie Wills - Harvard UniversityAlexander Pantelyat - Johns Hopkins UniversityAshkan Vaziri - BioSensics (United States)
- Resource Type
- Journal article
- Publication Details
- Frontiers in neuroscience, Vol.20, 1961535
- DOI
- 10.3389/fnins.2026.1961535
- PMID
- 42865502
- PMCID
- PMC13655066
- ISSN
- 1662-453X
- eISSN
- 1662-453X
- Publisher
- Frontiers Media SA
- Grant note
- National Institute on Aging of the National Institutes of Health: R44AG080861, UF1AG094587
The author(s) declared that financial support was received for this work and/or its publication. Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Numbers R44AG080861 and UF1AG094587. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
- Language
- English
- Date published
- 09/28/2026
- Academic Unit
- Neurology; Communication Sciences and Disorders
- Record Identifier
- 9985240904402771
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