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dc.contributor.authorZhu, Yongjie
dc.contributor.authorLiu, Jia
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorCong, Fengyu
dc.date.accessioned2020-03-12T11:50:51Z
dc.date.available2020-03-12T11:50:51Z
dc.date.issued2020
dc.identifier.citationZhu, Y., Liu, J., Ristaniemi, T., & Cong, F. (2020). Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech. <i>International Journal of Neural Systems</i>, <i>30</i>(3), Article 2050007. <a href="https://doi.org/10.1142/S0129065720500070" target="_blank">https://doi.org/10.1142/S0129065720500070</a>
dc.identifier.otherCONVID_34941140
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68144
dc.description.abstractRecent continuous task studies, such as narrative speech comprehension, show that fluctuations in brain functional connectivity (FC) are altered and enhanced compared to the resting state. Here, we characterized the fluctuations in FC during comprehension of speech and time-reversed speech conditions. The correlations of Hilbert envelope of source-level EEG data were used to quantify FC between spatially separate brain regions. A symmetric multivariate leakage correction was applied to address the signal leakage issue before calculating FC. The dynamic FC was estimated based on a sliding time window. Then, principal component analysis (PCA) was performed on individually concatenated and temporally concatenated FC matrices to identify FC patterns. We observed that the mode of FC induced by speech comprehension can be characterized with a single principal component. The condition-specific FC demonstrated decreased correlations between frontal and parietal brain regions and increased correlations between frontal and temporal brain regions. The fluctuations of the condition-specific FC characterized by a shorter time demonstrated that dynamic FC also exhibited condition specificity over time. The FC is dynamically reorganized and FC dynamic pattern varies along a single mode of variation during speech comprehension. The proposed analysis framework seems valuable for studying the reorganization of brain networks during continuous task experiments.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherWorld Scientific
dc.relation.ispartofseriesInternational Journal of Neural Systems
dc.rightsIn Copyright
dc.subject.otherreorganization
dc.subject.otherfunctional connectivity
dc.subject.othernatural paradigms
dc.subject.othernaturalistic speech
dc.subject.otherspeech comprehension
dc.titleDistinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202003122392
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.relation.issn0129-0657
dc.relation.numberinseries3
dc.relation.volume30
dc.type.versionacceptedVersion
dc.rights.copyright© World Scientific Publishing Company 2020
dc.rights.accesslevelopenAccessfi
dc.subject.ysopuhe (puhuminen)
dc.subject.ysokuullun ymmärtäminen
dc.subject.ysoEEG
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2492
jyx.subject.urihttp://www.yso.fi/onto/yso/p13220
jyx.subject.urihttp://www.yso.fi/onto/yso/p3328
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1142/S0129065720500070
dc.type.okmA1


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