Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30095
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dc.contributor.authorQin, Yunen_UK
dc.contributor.authorJiang, Sisien_UK
dc.contributor.authorZhang, Qiqien_UK
dc.contributor.authorDong, Lien_UK
dc.contributor.authorJia, Xiaoyanen_UK
dc.contributor.authorHe, Huien_UK
dc.contributor.authorYao, Yutongen_UK
dc.contributor.authorYang, Huanghaoen_UK
dc.contributor.authorZhang, Taoen_UK
dc.contributor.authorLuo, Chengen_UK
dc.contributor.authorYao, Dezhongen_UK
dc.date.accessioned2019-09-13T12:02:00Z-
dc.date.available2019-09-13T12:02:00Z-
dc.date.issued2019en_UK
dc.identifier.other101759en_UK
dc.identifier.urihttp://hdl.handle.net/1893/30095-
dc.description.abstractEpilepsy is marked by hypersynchronous bursts of neuronal activity, and seizures can propagate variably to any and all areas, leading to brain network dynamic organization. However, the relationship between the network characteristics of scalp EEG and blood oxygenation level-dependent (BOLD) responses in epilepsy patients is still not well known. In this study, simultaneous EEG and fMRI data were acquired in 18 juvenile myoclonic epilepsy (JME) patients. Then, the adapted directed transfer function (ADTF) values between EEG electrodes were calculated to define the time-varying network. The variation of network information flow within sliding windows was used as a temporal regressor in fMRI analysis to predict the BOLD response. To investigate the EEG-dependent functional coupling among the responding regions, modulatory interactions were analyzed for network variation of scalp EEG and BOLD time courses. The results showed that BOLD activations associated with high network variation were mainly located in the thalamus, cerebellum, precuneus, inferior temporal lobe and sensorimotor-related areas, including the middle cingulate cortex (MCC), supplemental motor area (SMA), and paracentral lobule. BOLD deactivations associated with medium network variation were found in the frontal, parietal, and occipital areas. In addition, modulatory interaction analysis demonstrated predominantly directional negative modulation effects among the thalamus, cerebellum, frontal and sensorimotor-related areas. This study described a novel method to link BOLD response with simultaneous functional network organization of scalp EEG. These findings suggested the validity of predicting epileptic activity using functional connectivity variation between electrodes. The functional coupling among the thalamus, frontal regions, cerebellum and sensorimotor-related regions may be characteristically involved in epilepsy generation and propagation, which provides new insight into the pathophysiological mechanisms and intervene targets for JME.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationQin Y, Jiang S, Zhang Q, Dong L, Jia X, He H, Yao Y, Yang H, Zhang T, Luo C & Yao D (2019) BOLD-fMRI activity informed by network variation of scalp EEG in juvenile myoclonic epilepsy. NeuroImage: Clinical, 22, Art. No.: 101759. https://doi.org/10.1016/j.nicl.2019.101759en_UK
dc.rightsCopyright 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectJuvenile myoclonic epilepsyen_UK
dc.subjectSimultaneous EEG and fMRIen_UK
dc.subjectNetwork variationen_UK
dc.subjectFunctional couplingen_UK
dc.subjectModulatory interactionen_UK
dc.titleBOLD-fMRI activity informed by network variation of scalp EEG in juvenile myoclonic epilepsyen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.nicl.2019.101759en_UK
dc.identifier.pmid30897433en_UK
dc.citation.jtitleNeuroImage: Clinicalen_UK
dc.citation.issn2213-1582en_UK
dc.citation.volume22en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderChinese Fundamental Research Funding for Central Universities in UESTCen_UK
dc.contributor.funderChinese Fundamental Research Funding for Central Universities in UESTCen_UK
dc.contributor.funderThe Project of Science and Technology Department of Sichuan Provinceen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderThe Project of Science and Technology Department of Sichuan Provinceen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.citation.date12/03/2019en_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.contributor.affiliationUniversity of Electronic Science and Technology of Chinaen_UK
dc.identifier.isiWOS:000470123000077en_UK
dc.identifier.scopusid2-s2.0-85062982000en_UK
dc.identifier.wtid1444030en_UK
dc.date.accepted2019-03-10en_UK
dcterms.dateAccepted2019-03-10en_UK
dc.date.filedepositdate2019-09-12en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorQin, Yun|en_UK
local.rioxx.authorJiang, Sisi|en_UK
local.rioxx.authorZhang, Qiqi|en_UK
local.rioxx.authorDong, Li|en_UK
local.rioxx.authorJia, Xiaoyan|en_UK
local.rioxx.authorHe, Hui|en_UK
local.rioxx.authorYao, Yutong|en_UK
local.rioxx.authorYang, Huanghao|en_UK
local.rioxx.authorZhang, Tao|en_UK
local.rioxx.authorLuo, Cheng|en_UK
local.rioxx.authorYao, Dezhong|en_UK
local.rioxx.projectZYGX2017KYQD166|Chinese Fundamental Research Funding for Central Universities in UESTC|en_UK
local.rioxx.projectZYGX2016J121|Chinese Fundamental Research Funding for Central Universities in UESTC|en_UK
local.rioxx.project2016HH0005|The Project of Science and Technology Department of Sichuan Province|en_UK
local.rioxx.project81701778|National Natural Science Foundation of China|en_UK
local.rioxx.project31771149|National Natural Science Foundation of China|en_UK
local.rioxx.project2018HH0003|The Project of Science and Technology Department of Sichuan Province|en_UK
local.rioxx.project81861128001|National Natural Science Foundation of China|en_UK
local.rioxx.project81771822|National Natural Science Foundation of China|en_UK
local.rioxx.freetoreaddate2019-09-12en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2019-09-12|en_UK
local.rioxx.filename1-s2.0-S2213158219301093-main.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2213-1582en_UK
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