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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/220337
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:22:50Zoai: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:34982025-09-29 10:22:50.9CONICET 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 |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |