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dc.contributor.authorLiu, Wenya
dc.contributor.authorZhang, Chi
dc.contributor.authorWang, Xiaoyu
dc.contributor.authorXu, Jing
dc.contributor.authorChang, Yi
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorCong, Fengyu
dc.date.accessioned2020-08-24T09:17:39Z
dc.date.available2020-08-24T09:17:39Z
dc.date.issued2020
dc.identifier.citationLiu, W., Zhang, C., Wang, X., Xu, J., Chang, Y., Ristaniemi, T., & Cong, F. (2020). Functional connectivity of major depression disorder using ongoing EEG during music perception. <i>Clinical Neurophysiology</i>, <i>131</i>(10), 2413-2422. <a href="https://doi.org/10.1016/j.clinph.2020.06.031" target="_blank">https://doi.org/10.1016/j.clinph.2020.06.031</a>
dc.identifier.otherCONVID_41692444
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/71500
dc.description.abstractObjective The functional connectivity (FC) of major depression disorder (MDD) has not been well studied under naturalistic and continuous stimuli conditions. In this study, we investigated the frequency-specific FC of MDD patients exposed to conditions of music perception using ongoing electroencephalogram (EEG). Methods First, we applied phase lag index (PLI) method to calculate the connectivity matrices and graph theory-based methods to measure the topology of brain networks across different frequency bands. Then, classification methods were adopted to identify the most discriminate frequency band for the diagnosis of MDD. Results During music perception, MDD patients exhibited a decreased connectivity pattern in the delta band but an increased connectivity pattern in the beta band. Healthy people showed a left hemisphere-dominant phenomenon, but MDD patients did not show such a lateralized effect. Support vector machine (SVM) achieved the best classification performance in the beta frequency band with an accuracy of 89.7%, sensitivity of 89.4% and specificity of 89.9%. Conclusions MDD patients exhibited an altered FC in delta and beta bands, and the beta band showed a superiority in the diagnosis of MDD. Significance Our study provided a promising reference for the diagnosis of MDD, and revealed a new perspective for understanding the topology of MDD brain networks during music perception.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesClinical Neurophysiology
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherfunctional connectivity
dc.subject.otherongoing EEG
dc.subject.othermajor depression disorder
dc.subject.othermusic perception
dc.subject.othernaturalistic stimuli
dc.titleFunctional connectivity of major depression disorder using ongoing EEG during music perception
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202008245636
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2413-2422
dc.relation.issn1388-2457
dc.relation.numberinseries10
dc.relation.volume131
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 Elsevier
dc.rights.accesslevelopenAccessfi
dc.subject.ysoärsykkeet
dc.subject.ysomasennus
dc.subject.ysomusiikki
dc.subject.ysoEEG
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2943
jyx.subject.urihttp://www.yso.fi/onto/yso/p7995
jyx.subject.urihttp://www.yso.fi/onto/yso/p1808
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.clinph.2020.06.031
jyx.fundinginformationThis work was supported by National Natural Science Foundation of China (Grant No.91748105 & Grant No.81471742); the Fundamental Research Funds for the Central Universities [DUT2019] in Dalian University of Technology in China; and the scholarships from China scholarship Council (No. 201706060263).
dc.type.okmA1


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