Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization

Autores
Prado, Pavel; Mejía, Jhony A.; Sainz Ballesteros, Agustín; Birba, Agustina; Moguilner, Sebastian; Herzog, Rubén; Otero, Mónica; Cuadros, Jhosmary; Z-Rivera, Lucía; O'Byrne, Daniel Franco; Parra, Mario; Ibáñez, Agustín
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
Fil: Prado, Pavel. Universidad Adolfo Ibañez; Chile. Universidad San Sebastián; Chile
Fil: Mejía, Jhony A.. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de los Andes; Colombia
Fil: Sainz Ballesteros, Agustín. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile
Fil: Birba, Agustina. Universidad de San Andrés; Argentina. Universidad de La Laguna; España. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moguilner, Sebastian. Massachusetts General Hospital; Estados Unidos. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina
Fil: Herzog, Rubén. Fundación Para El Estudio de la Conciencia Humana; Chile. Universidad Adolfo Ibañez; Chile
Fil: Otero, Mónica. Universidad San Sebastián; Chile
Fil: Cuadros, Jhosmary. Universidad Técnica Federico Santa María; Chile
Fil: Z-Rivera, Lucía. Universidad Técnica Federico Santa María; Chile
Fil: O'Byrne, Daniel Franco. Universidad Adolfo Ibañez; Chile
Fil: Parra, Mario. University of Strathclyde; Reino Unido
Fil: Ibáñez, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chile
Materia
AD
AUTOMATIC HARMONIZATION
BVFTD
DEMENTIA CLASSIFICATION
EEG
INVERSE SOLUTION METHODS
MULTI-CENTRIC STUDIES
WHOLE-BRAIN FUNCTIONAL CONNECTIVITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/220337
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/220337
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterizationPrado, PavelMejía, Jhony A.Sainz Ballesteros, AgustínBirba, AgustinaMoguilner, SebastianHerzog, RubénOtero, MónicaCuadros, JhosmaryZ-Rivera, LucíaO'Byrne, Daniel FrancoParra, MarioIbáñez, AgustínADAUTOMATIC HARMONIZATIONBVFTDDEMENTIA CLASSIFICATIONEEGINVERSE SOLUTION METHODSMULTI-CENTRIC STUDIESWHOLE-BRAIN FUNCTIONAL CONNECTIVITYhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.Fil: Prado, Pavel. Universidad Adolfo Ibañez; Chile. Universidad San Sebastián; ChileFil: Mejía, Jhony A.. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de los Andes; ColombiaFil: Sainz Ballesteros, Agustín. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; ChileFil: Birba, Agustina. Universidad de San Andrés; Argentina. Universidad de La Laguna; España. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Moguilner, Sebastian. Massachusetts General Hospital; Estados Unidos. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; ArgentinaFil: Herzog, Rubén. Fundación Para El Estudio de la Conciencia Humana; Chile. Universidad Adolfo Ibañez; ChileFil: Otero, Mónica. Universidad San Sebastián; ChileFil: Cuadros, Jhosmary. Universidad Técnica Federico Santa María; ChileFil: Z-Rivera, Lucía. Universidad Técnica Federico Santa María; ChileFil: O'Byrne, Daniel Franco. Universidad Adolfo Ibañez; ChileFil: Parra, Mario. University of Strathclyde; Reino UnidoFil: Ibáñez, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; ChileJohn Wiley & Sons Ltd2023-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/220337Prado, Pavel; Mejía, Jhony A.; Sainz Ballesteros, Agustín; Birba, Agustina; Moguilner, Sebastian; et al.; Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization; John Wiley & Sons Ltd; Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring; 15; 3; 7-2023; 1-122352-8729CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/dad2.12455info:eu-repo/semantics/altIdentifier/url/https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.12455info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:55:35Zoai:ri.conicet.gov.ar:11336/220337instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:55:35.619CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
title Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
spellingShingle Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
Prado, Pavel
AD
AUTOMATIC HARMONIZATION
BVFTD
DEMENTIA CLASSIFICATION
EEG
INVERSE SOLUTION METHODS
MULTI-CENTRIC STUDIES
WHOLE-BRAIN FUNCTIONAL CONNECTIVITY
title_short Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
title_full Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
title_fullStr Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
title_full_unstemmed Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
title_sort Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization
dc.creator.none.fl_str_mv Prado, Pavel
Mejía, Jhony A.
Sainz Ballesteros, Agustín
Birba, Agustina
Moguilner, Sebastian
Herzog, Rubén
Otero, Mónica
Cuadros, Jhosmary
Z-Rivera, Lucía
O'Byrne, Daniel Franco
Parra, Mario
Ibáñez, Agustín
author Prado, Pavel
author_facet Prado, Pavel
Mejía, Jhony A.
Sainz Ballesteros, Agustín
Birba, Agustina
Moguilner, Sebastian
Herzog, Rubén
Otero, Mónica
Cuadros, Jhosmary
Z-Rivera, Lucía
O'Byrne, Daniel Franco
Parra, Mario
Ibáñez, Agustín
author_role author
author2 Mejía, Jhony A.
Sainz Ballesteros, Agustín
Birba, Agustina
Moguilner, Sebastian
Herzog, Rubén
Otero, Mónica
Cuadros, Jhosmary
Z-Rivera, Lucía
O'Byrne, Daniel Franco
Parra, Mario
Ibáñez, Agustín
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AD
AUTOMATIC HARMONIZATION
BVFTD
DEMENTIA CLASSIFICATION
EEG
INVERSE SOLUTION METHODS
MULTI-CENTRIC STUDIES
WHOLE-BRAIN FUNCTIONAL CONNECTIVITY
topic AD
AUTOMATIC HARMONIZATION
BVFTD
DEMENTIA CLASSIFICATION
EEG
INVERSE SOLUTION METHODS
MULTI-CENTRIC STUDIES
WHOLE-BRAIN FUNCTIONAL CONNECTIVITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
Fil: Prado, Pavel. Universidad Adolfo Ibañez; Chile. Universidad San Sebastián; Chile
Fil: Mejía, Jhony A.. Universidad Adolfo Ibañez; Chile. University of California; Estados Unidos. Universidad de los Andes; Colombia
Fil: Sainz Ballesteros, Agustín. Universidad de San Andrés; Argentina. Universidad Adolfo Ibañez; Chile
Fil: Birba, Agustina. Universidad de San Andrés; Argentina. Universidad de La Laguna; España. Universidad Adolfo Ibañez; Chile. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Moguilner, Sebastian. Massachusetts General Hospital; Estados Unidos. Universidad Adolfo Ibañez; Chile. Universidad de San Andrés; Argentina
Fil: Herzog, Rubén. Fundación Para El Estudio de la Conciencia Humana; Chile. Universidad Adolfo Ibañez; Chile
Fil: Otero, Mónica. Universidad San Sebastián; Chile
Fil: Cuadros, Jhosmary. Universidad Técnica Federico Santa María; Chile
Fil: Z-Rivera, Lucía. Universidad Técnica Federico Santa María; Chile
Fil: O'Byrne, Daniel Franco. Universidad Adolfo Ibañez; Chile
Fil: Parra, Mario. University of Strathclyde; Reino Unido
Fil: Ibáñez, Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina. University of California; Estados Unidos. Universidad Adolfo Ibañez; Chile
description Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient–control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
publishDate 2023
dc.date.none.fl_str_mv 2023-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/220337
Prado, Pavel; Mejía, Jhony A.; Sainz Ballesteros, Agustín; Birba, Agustina; Moguilner, Sebastian; et al.; Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization; John Wiley & Sons Ltd; Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring; 15; 3; 7-2023; 1-12
2352-8729
CONICET Digital
CONICET
url http://hdl.handle.net/11336/220337
identifier_str_mv Prado, Pavel; Mejía, Jhony A.; Sainz Ballesteros, Agustín; Birba, Agustina; Moguilner, Sebastian; et al.; Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization; John Wiley & Sons Ltd; Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring; 15; 3; 7-2023; 1-12
2352-8729
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/dad2.12455
info:eu-repo/semantics/altIdentifier/url/https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/dad2.12455
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846782259489669120
score 12.982451

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