The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study

Over the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in the AD community, as it seems to play an important role in cognitive functioning and in beta...

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Autores: Garcés López, Maria Pilar, Pineda Pardo, José Ángel, Canuet, Leónides, Aurtenetxe, Sara, López, María Eugenia, Marcos, Alberto, Yus, Miguel, Llanero Luque, Marcos, Pozo, Francisco del, Sancho Ruíz, Miguel, Maestú Unturbe, Fernando
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/34005
Acceso en línea:https://hdl.handle.net/20.500.14352/34005
Access Level:acceso abierto
Palabra clave:537
Resting-state networks
Independent component analysis
Alzheimers-disease
White-matter
Amyloid-beta
Alpha oscillations
Connectivity
Brain
Eeg
Magnetoencephalography.
Electricidad
Electrónica (Física)
2202.03 Electricidad
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oai_identifier_str oai:docta.ucm.es:20.500.14352/34005
network_acronym_str ES
network_name_str España
repository_id_str
spelling The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI studyGarcés López, Maria PilarPineda Pardo, José ÁngelCanuet, LeónidesAurtenetxe, SaraLópez, María EugeniaMarcos, AlbertoYus, MiguelLlanero Luque, MarcosPozo, Francisco delSancho Ruíz, MiguelMaestú Unturbe, Fernando537Resting-state networksIndependent component analysisAlzheimers-diseaseWhite-matterAmyloid-betaAlpha oscillationsConnectivityBrainEegMagnetoencephalography.ElectricidadElectrónica (Física)2202.03 ElectricidadOver the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in the AD community, as it seems to play an important role in cognitive functioning and in beta amyloid deposition. Attention has been particularly drawn to how different DMN regions are connected using functional or structural connectivity. To this end, most studies have used functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET) or Diffusion Tensor Imaging (DTI). In this study we evaluated (1) functional connectivity from resting state magnetoencephalography (MEG) and (2) structural connectivity from DTI in 26 MCI patients and 31 age-matched controls. Compared to controls, the DMN in the MCI group was functionally disrupted in the alpha band, while no differences were found for delta, theta, beta and gamma frequency bands. In addition, structural disconnection could be assessed through a decreased fractional anisotropy along tracts connecting different DMN regions. This suggests that the DMN functional and anatomical disconnection could represent a core feature of MCI. (C) 2014 The Authors. Published by Elsevier Inc.Elsevier Science LtdUniversidad Complutense de Madrid20142014-06-0120142014-06-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/34005reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttps://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/340052026-06-02T12:44:21Z
dc.title.none.fl_str_mv The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
title The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
spellingShingle The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
Garcés López, Maria Pilar
537
Resting-state networks
Independent component analysis
Alzheimers-disease
White-matter
Amyloid-beta
Alpha oscillations
Connectivity
Brain
Eeg
Magnetoencephalography.
Electricidad
Electrónica (Física)
2202.03 Electricidad
title_short The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
title_full The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
title_fullStr The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
title_full_unstemmed The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
title_sort The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - A bimodal MEG-DTI study
dc.creator.none.fl_str_mv Garcés López, Maria Pilar
Pineda Pardo, José Ángel
Canuet, Leónides
Aurtenetxe, Sara
López, María Eugenia
Marcos, Alberto
Yus, Miguel
Llanero Luque, Marcos
Pozo, Francisco del
Sancho Ruíz, Miguel
Maestú Unturbe, Fernando
author Garcés López, Maria Pilar
author_facet Garcés López, Maria Pilar
Pineda Pardo, José Ángel
Canuet, Leónides
Aurtenetxe, Sara
López, María Eugenia
Marcos, Alberto
Yus, Miguel
Llanero Luque, Marcos
Pozo, Francisco del
Sancho Ruíz, Miguel
Maestú Unturbe, Fernando
author_role author
author2 Pineda Pardo, José Ángel
Canuet, Leónides
Aurtenetxe, Sara
López, María Eugenia
Marcos, Alberto
Yus, Miguel
Llanero Luque, Marcos
Pozo, Francisco del
Sancho Ruíz, Miguel
Maestú Unturbe, Fernando
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 537
Resting-state networks
Independent component analysis
Alzheimers-disease
White-matter
Amyloid-beta
Alpha oscillations
Connectivity
Brain
Eeg
Magnetoencephalography.
Electricidad
Electrónica (Física)
2202.03 Electricidad
topic 537
Resting-state networks
Independent component analysis
Alzheimers-disease
White-matter
Amyloid-beta
Alpha oscillations
Connectivity
Brain
Eeg
Magnetoencephalography.
Electricidad
Electrónica (Física)
2202.03 Electricidad
description Over the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in the AD community, as it seems to play an important role in cognitive functioning and in beta amyloid deposition. Attention has been particularly drawn to how different DMN regions are connected using functional or structural connectivity. To this end, most studies have used functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET) or Diffusion Tensor Imaging (DTI). In this study we evaluated (1) functional connectivity from resting state magnetoencephalography (MEG) and (2) structural connectivity from DTI in 26 MCI patients and 31 age-matched controls. Compared to controls, the DMN in the MCI group was functionally disrupted in the alpha band, while no differences were found for delta, theta, beta and gamma frequency bands. In addition, structural disconnection could be assessed through a decreased fractional anisotropy along tracts connecting different DMN regions. This suggests that the DMN functional and anatomical disconnection could represent a core feature of MCI. (C) 2014 The Authors. Published by Elsevier Inc.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-06-01
2014
2014-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/34005
url https://hdl.handle.net/20.500.14352/34005
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 3.0 España
https://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Ltd
publisher.none.fl_str_mv Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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