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dc.contributor.authorMigliorelli Falcone, Carolina Mercedes
dc.contributor.authorBachiller Matarranz, Alejandro
dc.contributor.authorAndrade, Andreia G.
dc.contributor.authorAlonso López, Joan Francesc
dc.contributor.authorMañanas Villanueva, Miguel Ángel
dc.contributor.authorBorja Mallach, Cristina
dc.contributor.authorRomero Lafuente, Sergio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-10-30T09:27:56Z
dc.date.available2020-06-06T00:26:30Z
dc.date.issued2019-06-11
dc.identifier.citationMigliorelli, C. [et al.]. Alterations in EEG connectivity in healthy young adults provide an indicator of sleep depth. "Sleep", 11 Juny 2019, vol. 42, núm. 6, p. zsz081.
dc.identifier.issn0161-8105
dc.identifier.urihttp://hdl.handle.net/2117/171151
dc.description.abstractCurrent sleep analyses have used electroencephalography (EEG) to establish sleep intensity through linear and nonlinear measures. Slow wave activity (SWA) and entropy are the most commonly used markers of sleep depth. The purpose of this study is to evaluate changes in brain EEG connectivity during sleep in healthy subjects and compare them with SWA and entropy. Four different connectivity metrics: coherence (MSC), synchronization likelihood (SL), cross mutual information function (CMIF), and phase locking value (PLV), were computed focusing on their correlation with sleep depth. These measures provide different information and perspectives about functional connectivity. All connectivity measures revealed to have functional changes between the different sleep stages. The averaged CMIF seemed to be a more robust connectivity metric to measure sleep depth (correlations of 0.78 and 0.84 with SWA and entropy, respectively), translating greater linear and nonlinear interdependences between brain regions especially during slow wave sleep. Potential changes of brain connectivity were also assessed throughout the night. Connectivity measures indicated a reduction of functional connectivity in N2 as sleep progresses. The validation of connectivity indexes is necessary because they can reveal the interaction between different brain regions in physiological and pathological conditions and help understand the different functions of deep sleep in humans.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut
dc.subject.lcshElectroencephalography
dc.subject.lcshSleep--Physiological aspects
dc.subject.otherElectroencephalography
dc.subject.otherSlow wave activity
dc.subject.otherEntropy
dc.subject.otherFunctional connectivity
dc.titleAlterations in EEG connectivity in healthy young adults provide an indicator of sleep depth
dc.typeArticle
dc.subject.lemacElectroencefalografia
dc.subject.lemacSon -- Aspectes fisiològics
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
dc.identifier.doi10.1093/sleep/zsz081
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://academic.oup.com/sleep/article-abstract/42/6/zsz081/5427094
dc.rights.accessOpen Access
local.identifier.drac25803373
dc.description.versionPostprint (author's final draft)
local.citation.authorMigliorelli, C.; Bachiller, A.; Andrade, A.; Alonso, J.F.; Mañanas, M.A.; Borja, C.; Romero, S.
local.citation.publicationNameSleep
local.citation.volume42
local.citation.number6
local.citation.startingPagezsz081
local.citation.endingPagezsz081


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain