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dc.contributor.authorFerrante, Franco J.
dc.contributor.authorMigeot, Joaquín
dc.contributor.authorBirba, Agustina
dc.contributor.authorAmoruso, Lucía
dc.contributor.authorPérez, Gonzalo
dc.contributor.authorHesse, Eugenia
dc.contributor.authorTagliazucchi, Enzo
dc.contributor.authorEstienne, Claudio
dc.contributor.authorSerrano, Cecilia
dc.contributor.authorSlachevsky, Andrea
dc.contributor.authorMatallana, Diana
dc.contributor.authorReyes, Pablo
dc.contributor.authorIbáñez, Agustín
dc.contributor.authorFittipaldi, Sol
dc.contributor.authorGonzalez Campo, Cecilia
dc.contributor.authorGarcía, Adolfo M.
dc.date.accessioned2023-11-28T10:09:44Z
dc.date.available2023-11-28T10:09:44Z
dc.date.issued2024
dc.identifier.citationFerrante FJ, Migeot J, Birba A, et al. Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia. Alzheimer's Dement. 2024; 20: 925–940. https://doi.org/10.1002/alz.13472es_ES
dc.identifier.citationAlzheimer’s & Dementia
dc.identifier.issn1552-5260
dc.identifier.urihttp://hdl.handle.net/10810/63175
dc.descriptionVersion of Record online: 12 October 2023es_ES
dc.description.abstractINTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property analysis to capture neurocognitive markers of AD vis-à-vis behavioral variant frontotemporal dementia (bvFTD). METHODS Patients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group-level discrimination, patient-level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns. RESULTS Valid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group- and subject-level discrimination only in AD, also predicting executive outcomes. Disease-specific cortical thickness patterns were predicted by frequency in both disorders. Default-mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD. DISCUSSION Word-property analysis of fluency can boost AD characterization and diagnosis. Highlights We report novel word-property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word-property analysis of fluency can boost AD characterization and diagnosis.es_ES
dc.description.sponsorshipNational Institutes of Health, National Institutes of Aging, Grant/Award Numbers: R01AG057234, R01AG075775; ANID: FONDECYT Regular, Grant/Award Numbers: 1210176, 1210195, 1220995; FONDAP, Grant/Award Number: 15150012; PIA/ANILLOS, Grant/Award Number: ACT210096; FONDEF, Grant/Award Number: ID20I10152; GBHI, Alzheimer’s Association, and Alzheimer’s Society: Alzheimer’s Association GBHI, Grant/Award Number: ALZ UK-22-865742; Alzheimer’s Association, Grant/Award Number: SG-20-725707; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile, Grant/Award Number: #BL-SRGP2021-01; Programa Interdisciplinario de Investigación Experimental en Comunicación y Cognición (PIIECC), Facultad de Humanidades, USACH; Takeda, Grant/Award Number: CW2680521; Rainwater Charitable Foundation; Tau Consortium; European Commission: H2020-MSCA-IF-GFMULTI-LAND, Grant/Award Number: 101025814es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020-MSCA-IF-GFMULTI-LAND/101025814es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectelectroencephalographyes_ES
dc.subjectmachine learninges_ES
dc.subjectneurodegenerationes_ES
dc.subjectneuroimaginges_ES
dc.subjectsemantic memoryes_ES
dc.subjectword propertieses_ES
dc.titleMultivariate word properties in fluency tasks reveal markers of Alzheimer’s dementiaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.es_ES
dc.relation.publisherversionwileyonlinelibrary.com/journal/alzes_ES
dc.identifier.doi10.1002/alz.13472


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