Validation of the Remote Automated ki:e Speech Biomarker for Cognition in Mild Cognitive Impairment
| العنوان: | Validation of the Remote Automated ki:e Speech Biomarker for Cognition in Mild Cognitive Impairment |
|---|---|
| المؤلفون: | Johannes Tröger, Ebru Baykara, Jian Zhao, Daphne ter Huurne, Nina Possemis, Elisa Mallick, Simona Schäfer, Louisa Schwed, Mario Mina, Nicklas Linz, Inez Ramakers, Craig Ritchie |
| المساهمون: | Psychology 1, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychiatrie & Neuropsychologie, Basic Neuroscience 2, RS: MHeNs - R3 - Neuroscience, Psychology 2 |
| المصدر: | Tröger, J, Baykara, E, Zhao, J, Ter Huurne, D, Possemis, N, Mallick, E, Schäfer, S, Schwed, L, Mina, M, Linz, N, Ramakers, I & Ritchie, C 2022, ' Validation of the Remote Automated ki:e Speech Biomarker for Cognition in Mild Cognitive Impairment : Verification and Validation following DiME V3 Framework ', Digital biomarkers, vol. 6, no. 3, pp. 107-116 . https://doi.org/10.1159/000526471Test Digital biomarkers, 6(3), 107-116. S. Karger AG Digital biomarkers, 6(3):107-116 |
| بيانات النشر: | S. Karger AG, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Medicine (miscellaneous), Health Informatics, Dementia, Clinical trials, Speech biomarker, Speech analysis, Digital biomarker, Mild cognitive impairment, Computer Science Applications |
| الوصف: | Introduction: Progressive cognitive decline is the cardinal behavioral symptom in most dementia-causing diseases such as Alzheimer’s disease. While most well-established measures for cognition might not fit tomorrow’s decentralized remote clinical trials, digital cognitive assessments will gain importance. We present the evaluation of a novel digital speech biomarker for cognition (SB-C) following the Digital Medicine Society’s V3 framework: verification, analytical validation, and clinical validation. Methods: Evaluation was done in two independent clinical samples: the Dutch DeepSpA (N = 69 subjective cognitive impairment [SCI], N = 52 mild cognitive impairment [MCI], and N = 13 dementia) and the Scottish SPeAk datasets (N = 25, healthy controls). For validation, two anchor scores were used: the Mini-Mental State Examination (MMSE) and the Clinical Dementia Rating (CDR) scale. Results: Verification: The SB-C could be reliably extracted for both languages using an automatic speech processing pipeline. Analytical Validation: In both languages, the SB-C was strongly correlated with MMSE scores. Clinical Validation: The SB-C significantly differed between clinical groups (including MCI and dementia), was strongly correlated with the CDR, and could track the clinically meaningful decline. Conclusion: Our results suggest that the ki:e SB-C is an objective, scalable, and reliable indicator of cognitive decline, fit for purpose as a remote assessment in clinical early dementia trials. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2504-110X |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a3fce3daab72e840b680fc62fb4455Test https://cris.maastrichtuniversity.nl/en/publications/e6cc16c2-6c3a-4551-95c5-a4c600868b9aTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....a9a3fce3daab72e840b680fc62fb4455 |
| قاعدة البيانات: | OpenAIRE |
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