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dc.contributor.author
Josefsson, Alexandra
dc.contributor.author
Ibañez, Agustin Mariano
dc.contributor.author
Parra, Mario
dc.contributor.author
Escudero, Javier
dc.date.available
2021-07-14T12:43:51Z
dc.date.issued
2019-04
dc.identifier.citation
Josefsson, Alexandra; Ibañez, Agustin Mariano; Parra, Mario; Escudero, Javier; Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task; Institution of Engineering and Technology; Healthcare Technology Letters; 6; 2; 4-2019; 27-31
dc.identifier.issn
2053-3713
dc.identifier.uri
http://hdl.handle.net/11336/136070
dc.description.abstract
The early diagnosis of Alzheimer’s disease (AD) is particularly challenging. Mild cognitive impairment (MCI) has been linked to AD and electroencephalogram (EEG) recordings are able to measure brain activity directly with high temporal resolution. In this context, with appropriate processing, the EEG recordings can be used to construct a graph representative of brain functional connectivity. This work studies a functional network created from a non-linear measure of coupling of beta-filtered EEG recordings during a short-term memory binding task. It shows that the values of the small-world characteristic and eccentricity are, respectively, lower and higher in MCI patients than in controls. The results show how MCI leads to EEG functional connectivity changes. They expect that the network differences between MCIs and control subjects could be used to gain insight into the early stages of AD.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institution of Engineering and Technology
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
BRAIN
dc.subject
NEUROPHYSIOLOGY
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DISEASES
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COGNITION
dc.subject.classification
Neurociencias
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Medicina Básica
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Network analysis through the use of joint-distribution entropy on EEG recordings of MCI patients during a visual short-term memory binding task
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-20T17:43:14Z
dc.identifier.eissn
2053-3713
dc.journal.volume
6
dc.journal.number
2
dc.journal.pagination
27-31
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Josefsson, Alexandra. University of Edinburgh; Reino Unido
dc.description.fil
Fil: Ibañez, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva. Fundación Favaloro. Instituto de Neurociencia Cognitiva; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencias Cognitivas y Traslacional; Argentina. Universidad Adolfo Ibañez; Chile. Universidad Autónoma del Caribe; Colombia
dc.description.fil
Fil: Parra, Mario. University of Strathclyde; Reino Unido. Universidad Autónoma del Caribe; Colombia
dc.description.fil
Fil: Escudero, Javier. University of Edinburgh; Reino Unido
dc.journal.title
Healthcare Technology Letters
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1049/htl.2018.5060
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/htl.2018.5060
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