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dc.contributor.author
Sanz, Camila
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Carrillo, Facundo
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Slachevsky, Andrea
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Forno, Gonzalo
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Gorno Tempini, María L.
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Villagra, Roque
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Ibañez, Agustin Mariano
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Tagliazucchi, Enzo Rodolfo
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García, Adolfo Martín
dc.date.available
2022-07-04T12:45:20Z
dc.date.issued
2022-01
dc.identifier.citation
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
dc.identifier.issn
2352-8729
dc.identifier.uri
http://hdl.handle.net/11336/161127
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
ALZHEIMER'S DISEASE DEMENTIA
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AUTOMATED SPEECH ANALYSIS
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SEMANTIC GRANULARITY
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SEMANTIC VARIABILITY
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PARKINSON'S DISEASE
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Lingüística
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Lengua y Literatura
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HUMANIDADES
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Psicología
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Psicología
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CIENCIAS SOCIALES
dc.title
Automated text-level semantic markers of Alzheimer's disease
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-06-30T19:03:36Z
dc.journal.volume
14
dc.journal.number
1
dc.journal.pagination
1-10
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Amsterdam
dc.description.fil
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
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Fil: Carrillo, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Slachevsky, Andrea. Universidad de Chile; Chile
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Fil: Forno, Gonzalo. Universidad de Chile; Chile. Universidad de Barcelona; España
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Fil: Gorno Tempini, María L.. University of California; Estados Unidos
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Fil: Villagra, Roque. Universidad de Chile; Chile
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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
dc.description.fil
Fil: Tagliazucchi, Enzo Rodolfo. 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
dc.description.fil
Fil: García, Adolfo Martín. Universidad de San Andrés; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.12276
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/dad2.12276
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