dc.contributor.author | Liu, Jia | |
dc.contributor.author | Zhu, Yongjie | |
dc.contributor.author | Sun, Hongjin | |
dc.contributor.author | Ristaniemi, Tapani | |
dc.contributor.author | Cong, Fengyu | |
dc.date.accessioned | 2020-09-15T10:56:51Z | |
dc.date.available | 2020-09-15T10:56:51Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Liu, J., Zhu, Y., Sun, H., Ristaniemi, T., & Cong, F. (2020). Sustaining Attention for a Prolonged Duration Affects Dynamic Organizations of Frequency-Specific Functional Connectivity. <i>Brain Topography</i>, <i>33</i>(6), 677-692. <a href="https://doi.org/10.1007/s10548-020-00795-0" target="_blank">https://doi.org/10.1007/s10548-020-00795-0</a> | |
dc.identifier.other | CONVID_42035061 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/71770 | |
dc.description.abstract | Sustained attention encompasses a cascade of fundamental functions. The human ability to implement a sustained attention task is supported by brain networks that dynamically formed and dissolved through oscillatory synchronization. The decrement of vigilance induced by prolonged task engagement affects sustained attention. However, little is known about which stage or combinations are affected by vigilance decrement. Here, we applied an analysis framework composed of weighted phase lag index (wPLI) and tensor component analysis (TCA) to an EEG dataset collected during 80 min sustained attention task to examine the electrophysiological basis of such effect. We aimed to characterize the phase-coupling networks to untangle different phases involved in sustained attention and study how they are modulated by vigilance decrement. We computed the time–frequency domain wPLI from each block and subject and constructed a fourth-order tensor, containing the time, frequency, functional connectivity (FC), and blocks × subjects. This tensor was subjected to the TCA to identify the interacted and low-dimensional components representing the frequency-specific dynamic FC (fdFC). We extracted four types of neuromakers during a sustained attention task, namely the pre-stimulus alpha right-lateralized parieto-occipital FC, the post-stimulus theta fronto-parieto-occipital FC, delta fronto-parieto-occipital FC, and beta right/left sensorimotor FCs. All these fdFCs were impaired by vigilance decrement. These fdFCs, except for the beta left sensorimotor network, were restored by rewards, although the restoration by reward in the beta right sensorimotor network was transient. These findings provide implications for dissociable effects of vigilance decrement on sustained attention by utilizing the tensor-based framework. | en |
dc.format.mimetype | application/pdf | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartofseries | Brain Topography | |
dc.rights | CC BY 4.0 | |
dc.subject.other | sustained attention | |
dc.subject.other | vigilance decrement | |
dc.subject.other | motivation | |
dc.subject.other | frequency-specific dynamic functional connectivity | |
dc.subject.other | weighted phase lag index | |
dc.subject.other | tensor component analysis | |
dc.title | Sustaining Attention for a Prolonged Duration Affects Dynamic Organizations of Frequency-Specific Functional Connectivity | |
dc.type | article | |
dc.identifier.urn | URN:NBN:fi:jyu-202009155865 | |
dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
dc.contributor.laitos | Faculty of Information Technology | en |
dc.contributor.oppiaine | Tietotekniikka | fi |
dc.contributor.oppiaine | Mathematical Information Technology | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 677-692 | |
dc.relation.issn | 0896-0267 | |
dc.relation.numberinseries | 6 | |
dc.relation.volume | 33 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2020 the Authors | |
dc.rights.accesslevel | openAccess | fi |
dc.subject.yso | motivaatio | |
dc.subject.yso | tarkkaavaisuus | |
dc.subject.yso | kognitiivinen neurotiede | |
dc.subject.yso | signaalinkäsittely | |
dc.subject.yso | signaalianalyysi | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p4734 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p9105 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23133 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p12266 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p26805 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1007/s10548-020-00795-0 | |
jyx.fundinginformation | Open access funding provided by University of Jyväskylä. This work is supported by the National Natural Science Foundation of China (No. 91748105 & 81471742), the Fundamental Research Funds for the Central Universities in Dalian University of Technology in China [DUT2019], the scholarships from China Scholarship Council [Nos. 201600090044; 201600090042], and the mobility grant to visit Macmaster University. | |
dc.type.okm | A1 | |