دورية أكاديمية
Automated text-level semantic markers of Alzheimer's disease
| العنوان: | Automated text-level semantic markers of Alzheimer's disease |
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| المؤلفون: | Sanz, Camila, Carrillo, Facundo, Slachevsky, Andrea, Forno, Gonzalo, Gorno Tempini, María L., Villagra, Roque, Ibañez, Agustin Mariano, Tagliazucchi, Enzo Rodolfo, García, Adolfo Martín |
| بيانات النشر: | Wiley |
| المجموعة: | CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) |
| مصطلحات موضوعية: | ALZHEIMER'S DISEASE DEMENTIA, AUTOMATED SPEECH ANALYSIS, SEMANTIC GRANULARITY, SEMANTIC VARIABILITY, PARKINSON'S DISEASE, https://purl.org/becyt/ford/6.2Test, https://purl.org/becyt/ford/6Test, https://purl.org/becyt/ford/5.1Test, https://purl.org/becyt/ford/5Test |
| الوصف: | INTRODUCTION: Automated speech analysis has emerged as a scalable, cost-effective tool to identify persons with Alzheimer?s disease (AD). Yet, most research is undermined by low interpretability and specificity. METHODS: Combining statistical and machine learning analyses of natural speech data, we aimed to discriminate AD dementia (ADD) patients from healthy controls (HCs) based on automated measures of domains typically affected in AD: semantic granularity (coarseness of concepts) and ongoing semantic variability (conceptual closeness of successive words). To test for specificity, we replicated the analyses on Parkinson?s disease (PD) patients. RESULTS: Relative to controls, ADD (but not PD) patients exhibited significant differences in both measures. Also, these features robustly classified between ADD patients and HCs (AUC = 0.8), yielding near-chance classification between PD patients and HCs (AUC = 0.65). DISCUSSION: Automated discourse-level semantic analyses can reveal objective, interpretable, and specific markers of ADD, bridging well-established neuropsychological targets with digital assessment tools. ; Fil: Sanz, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina ; Fil: Carrillo, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina ; Fil: Slachevsky, Andrea. Universidad de Chile; Chile ; Fil: Forno, Gonzalo. Universidad de Chile; Chile. Universidad de Barcelona; España ; Fil: Gorno Tempini, María L. University of California; Estados Unidos ; Fil: Villagra, Roque. Universidad de Chile; Chile ; Fil: Ibañez, Agustin Mariano. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina ; Fil: Tagliazucchi, Enzo Rodolfo. Consejo ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2352-8729 |
| العلاقة: | http://hdl.handle.net/11336/161127Test; Sanz, Camila; Carrillo, Facundo; Slachevsky, Andrea; Forno, Gonzalo; Gorno Tempini, María L.; et al.; Automated text-level semantic markers of Alzheimer's disease; Wiley; Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring; 14; 1; 1-2022; 1-10; CONICET Digital; CONICET |
| الإتاحة: | https://doi.org/10.1002/dad2.12276Test http://hdl.handle.net/11336/161127Test |
| حقوق: | info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by-nc-nd/2.5/arTest/ |
| رقم الانضمام: | edsbas.97F88346 |
| قاعدة البيانات: | BASE |
| تدمد: | 23528729 |
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