Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy

Autores
Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; Ibáñez Barassi, Agustín Mariano; Parra, Mario A.; Escudero, Javier; Vandergheynst, Pierre
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Visual short-term memory binding tasks are a promising early marker for Alzheimer´s disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task´s transient physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in the occipital module between 100-140 ms, coinciding with the P100 visually evoked potential, followed by a driving effect in the frontal module between 140-180 ms, suggesting that the differences found constitute an information processing difference between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for the detection of AD.
Fil: Smith, Keith. University of Edinburgh; Reino Unido
Fil: Ricaud, Benjamin. École Polytechnique Fédérale de Lausanne; Suiza
Fil: Shahid, Nauman. École Polytechnique Fédérale de Lausanne; Suiza
Fil: Rhodes, Stephen. University of Edinburgh; Reino Unido
Fil: Starr, John M.. University of Edinburgh; Reino Unido
Fil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro; Argentina. Universidad Autόnoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile. ARC Centre of Excellence in Cognition and its Disorder; Australia
Fil: Parra, Mario A.. University of Edinburgh; Reino Unido. Universidad Autόnoma del Caribe; Colombia. Heriot-Watt University; Reino Unido
Fil: Escudero, Javier. University of Edinburgh; Reino Unido
Fil: Vandergheynst, Pierre. École Polytechnique Fédérale de Lausanne; Suiza
Materia
BINDING
DEMENTIA
DIAGNOSTIC MARKERS
WORKING MEMORY
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:11336/47883
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/47883
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet EnergySmith, KeithRicaud, BenjaminShahid, NaumanRhodes, StephenStarr, John M.Ibáñez Barassi, Agustín MarianoParra, Mario A.Escudero, JavierVandergheynst, PierreBINDINGDEMENTIADIAGNOSTIC MARKERSWORKING MEMORYhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Visual short-term memory binding tasks are a promising early marker for Alzheimer´s disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task´s transient physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in the occipital module between 100-140 ms, coinciding with the P100 visually evoked potential, followed by a driving effect in the frontal module between 140-180 ms, suggesting that the differences found constitute an information processing difference between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for the detection of AD.Fil: Smith, Keith. University of Edinburgh; Reino UnidoFil: Ricaud, Benjamin. École Polytechnique Fédérale de Lausanne; SuizaFil: Shahid, Nauman. École Polytechnique Fédérale de Lausanne; SuizaFil: Rhodes, Stephen. University of Edinburgh; Reino UnidoFil: Starr, John M.. University of Edinburgh; Reino UnidoFil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro; Argentina. Universidad Autόnoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile. ARC Centre of Excellence in Cognition and its Disorder; AustraliaFil: Parra, Mario A.. University of Edinburgh; Reino Unido. Universidad Autόnoma del Caribe; Colombia. Heriot-Watt University; Reino UnidoFil: Escudero, Javier. University of Edinburgh; Reino UnidoFil: Vandergheynst, Pierre. École Polytechnique Fédérale de Lausanne; SuizaNature Publishing Group2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/47883Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; et al.; Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy; Nature Publishing Group; Scientific Reports; 7; 2-2017; 1-122045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/srep42013info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/srep42013info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:19:51Zoai:ri.conicet.gov.ar:11336/47883instacron: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 10:19:51.564CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
title Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
spellingShingle Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
Smith, Keith
BINDING
DEMENTIA
DIAGNOSTIC MARKERS
WORKING MEMORY
title_short Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
title_full Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
title_fullStr Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
title_full_unstemmed Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
title_sort Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
dc.creator.none.fl_str_mv Smith, Keith
Ricaud, Benjamin
Shahid, Nauman
Rhodes, Stephen
Starr, John M.
Ibáñez Barassi, Agustín Mariano
Parra, Mario A.
Escudero, Javier
Vandergheynst, Pierre
author Smith, Keith
author_facet Smith, Keith
Ricaud, Benjamin
Shahid, Nauman
Rhodes, Stephen
Starr, John M.
Ibáñez Barassi, Agustín Mariano
Parra, Mario A.
Escudero, Javier
Vandergheynst, Pierre
author_role author
author2 Ricaud, Benjamin
Shahid, Nauman
Rhodes, Stephen
Starr, John M.
Ibáñez Barassi, Agustín Mariano
Parra, Mario A.
Escudero, Javier
Vandergheynst, Pierre
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv BINDING
DEMENTIA
DIAGNOSTIC MARKERS
WORKING MEMORY
topic BINDING
DEMENTIA
DIAGNOSTIC MARKERS
WORKING MEMORY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Visual short-term memory binding tasks are a promising early marker for Alzheimer´s disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task´s transient physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in the occipital module between 100-140 ms, coinciding with the P100 visually evoked potential, followed by a driving effect in the frontal module between 140-180 ms, suggesting that the differences found constitute an information processing difference between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for the detection of AD.
Fil: Smith, Keith. University of Edinburgh; Reino Unido
Fil: Ricaud, Benjamin. École Polytechnique Fédérale de Lausanne; Suiza
Fil: Shahid, Nauman. École Polytechnique Fédérale de Lausanne; Suiza
Fil: Rhodes, Stephen. University of Edinburgh; Reino Unido
Fil: Starr, John M.. University of Edinburgh; Reino Unido
Fil: Ibáñez Barassi, Agustín Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro; Argentina. Universidad Autόnoma del Caribe; Colombia. Universidad Adolfo Ibañez; Chile. ARC Centre of Excellence in Cognition and its Disorder; Australia
Fil: Parra, Mario A.. University of Edinburgh; Reino Unido. Universidad Autόnoma del Caribe; Colombia. Heriot-Watt University; Reino Unido
Fil: Escudero, Javier. University of Edinburgh; Reino Unido
Fil: Vandergheynst, Pierre. École Polytechnique Fédérale de Lausanne; Suiza
description Visual short-term memory binding tasks are a promising early marker for Alzheimer´s disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first study unimpaired brain function. Electroencephalogram recordings were obtained from encoding and maintenance periods of tasks performed by healthy young volunteers. We probe the task´s transient physiological underpinnings by contrasting shape only (Shape) and shape-colour binding (Bind) conditions, displayed in the left and right sides of the screen, separately. Particularly, we introduce and implement a novel technique named Modular Dirichlet Energy (MDE) which allows robust and flexible analysis of the functional network with unprecedented temporal precision. We find that connectivity in the Bind condition is less integrated with the global network than in the Shape condition in occipital and frontal modules during the encoding period of the right screen condition. Using MDE we are able to discern driving effects in the occipital module between 100-140 ms, coinciding with the P100 visually evoked potential, followed by a driving effect in the frontal module between 140-180 ms, suggesting that the differences found constitute an information processing difference between these modules. This provides temporally precise information over a heterogeneous population in promising tasks for the detection of AD.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
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/11336/47883
Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; et al.; Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy; Nature Publishing Group; Scientific Reports; 7; 2-2017; 1-12
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/47883
identifier_str_mv Smith, Keith; Ricaud, Benjamin; Shahid, Nauman; Rhodes, Stephen; Starr, John M.; et al.; Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy; Nature Publishing Group; Scientific Reports; 7; 2-2017; 1-12
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/srep42013
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/srep42013
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 Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
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
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score 13.070432

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