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dc.contributor.author
Moguilner, Sebastián
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Birba, Agustina
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Fittipaldi, Sol
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Gonzalez Campo, Cecilia
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Tagliazucchi, Enzo
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Reyes, Pablo
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Matallana, Diana
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Parra, Mario A.
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Slachevsky, Andrea
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Farías, Gonzalo
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Cruzat, Josefina
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García, Adolfo Martín
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Eyre, Harris A.
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Joie, Renaud La
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Rabinovici, Gil
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Whelan, Robert
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Ibañez, Agustin Mariano
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dc.date.available
2023-08-03T12:06:35Z
dc.date.issued
2022-09
dc.identifier.citation
Moguilner, Sebastián; Birba, Agustina; Fittipaldi, Sol; Gonzalez Campo, Cecilia; Tagliazucchi, Enzo; et al.; Multi-feature computational framework for combined signatures of dementia in underrepresented settings; IOP Publishing; Journal of Neural Engineering; 19; 4; 9-2022; 1-18
dc.identifier.issn
1741-2560
dc.identifier.uri
http://hdl.handle.net/11336/206695
dc.description.abstract
Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed groups, including Latinos, as advanced biomarkers are rarely available. Recent guidelines for the study of dementia highlight the critical role of biomarkers. Thus, novel cost-effective complementary approaches are required in clinical settings. Approach. We developed a novel framework based on a gradient boosting machine learning classifier, tuned by Bayesian optimization, on a multi-feature multimodal approach (combining demographic, neuropsychological, magnetic resonance imaging (MRI), and electroencephalography/functional MRI connectivity data) to characterize neurodegeneration using site harmonization and sequential feature selection. We assessed 54 bvFTD and 76 AD patients and 152 healthy controls (HCs) from a Latin American consortium (ReDLat). Main results. The multimodal model yielded high area under the curve classification values (bvFTD patients vs HCs: 0.93 (±0.01); AD patients vs HCs: 0.95 (±0.01); bvFTD vs AD patients: 0.92 (±0.01)). The feature selection approach successfully filtered non-informative multimodal markers (from thousands to dozens). Results. Proved robust against multimodal heterogeneity, sociodemographic variability, and missing data. Significance. The model accurately identified dementia subtypes using measures readily available in underrepresented settings, with a similar performance than advanced biomarkers. This approach, if confirmed and replicated, may potentially complement clinical assessments in developing countries.
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application/pdf
dc.language.iso
eng
dc.publisher
IOP Publishing
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FEATURE SELECTION
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HARMONIZATION
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MACHINE LEARNING
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MULTIMODAL NEUROIMAGING
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NEURODEGENERATION
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Psicología
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Psicología
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CIENCIAS SOCIALES
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dc.title
Multi-feature computational framework for combined signatures of dementia in underrepresented settings
dc.type
info:eu-repo/semantics/article
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info:ar-repo/semantics/artículo
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info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-02T17:56:57Z
dc.journal.volume
19
dc.journal.number
4
dc.journal.pagination
1-18
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Londres
dc.description.fil
Fil: Moguilner, Sebastián. Global Brain Health Institute; Estados Unidos
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Fil: Birba, Agustina. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Fittipaldi, Sol. Universidad de San Andrés; Argentina
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Fil: Gonzalez Campo, Cecilia. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Tagliazucchi, Enzo. Universidad Adolfo Ibañez; Chile
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Fil: Reyes, Pablo. Pontificia Universidad Javeriana; Colombia
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Fil: Matallana, Diana. Pontificia Universidad Javeriana; Colombia
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Fil: Parra, Mario A.. University of Strathclyde; Reino Unido
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Fil: Slachevsky, Andrea. Gerosciences Center For Brain Health And Metabolism; Chile
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Fil: Farías, Gonzalo. Universidad de Chile. Facultad de Medicina.; Chile
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Fil: Cruzat, Josefina. Universidad Adolfo Ibañez; Chile
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Fil: García, Adolfo Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cuyo. Facultad de Educación Elemental y Especial; Argentina. Universidad de San Andrés; Argentina
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Fil: Eyre, Harris A.. Global Brain Health Institute; Estados Unidos
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Fil: Joie, Renaud La. University of California; Estados Unidos
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Fil: Rabinovici, Gil. Global Brain Health Institute; Estados Unidos
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Fil: Whelan, Robert. Global Brain Health Institute; Estados Unidos
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Fil: Ibañez, Agustin Mariano. Global Brain Health Institute; Estados Unidos. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Journal of Neural Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/1741-2552/ac87d0
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1088/1741-2552/ac87d0
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