dc.contributor.author | Ren, Ye | |
dc.date.accessioned | 2019-11-22T09:50:25Z | |
dc.date.available | 2019-11-22T09:50:25Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-951-39-7954-6 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/66485 | |
dc.description.abstract | Abnormal brain neural activities lead to abnormality and complexity of brain
network connectivity in patients with epilepsy. The purpose of this research is to
investigate the characteristics of brain connectivity and to explore more accurate
localization methods of the epileptogenic foci in drug-resistant epilepsy.
Brain connectivity measures based on synchronization were first evaluated
on electroencephalogram data in healthy subjects to find different performance
in detecting the synchronization dynamics in the brain network. Spatial and
temporal phase-amplitude coupling characteristics between low and high
frequency electrocorticogram data were then estimated in patients with temporal
lobe epilepsy. The ‘fall-max’ phase-amplitude coupling pattern appeared in the
middle period of seizure was suggested as a reliable biomarker of epileptogenic
zone, which provides insight into the underlying neural dynamic between low
and high frequency neural activities in the epileptic brain network. Effective
connectivity and topology characteristics of the brain network were investigated
as well in patients with temporal lobe epilepsy by adopting high temporal
resolution effective connectivity measure combined with graph metrics on
electrocorticogram data, which describes in detail the strength and direction of
information transmission. The transient seizure onset effective connectivity
network provides more accurate localization of seizure onset zone and
epileptogenic zone. In addition, functional connectivity and source localization
were studied on electroencephalogram data of a patients with reflex seizure,
which provides insights on generation and propagation of epileptic activities, as
well as the local and global topology characteristics on cortical level network.
Overall, this research examined the performance of various brain
connectivity measures by analyzing the functional connectivity and effective
connectivity in healthy people and epilepsy patients, and explored more accurate
methods for localization of epileptogenic foci. It provides insights into the
underlying mechanism of epileptic brain network connectivity and an important
reference for the preoperative evaluation of clinical epilepsy surgery, which can
improve the localization accuracy of epileptogenic foci and reduce the
probability of epileptic seizures.
Keywords: brain connectivity, synchronization, epilepsy, epileptogenic focus,
localization | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Jyväskylän yliopisto | |
dc.relation.ispartofseries | JYU Dissertations | |
dc.relation.haspart | <b>Artikkeli I:</b> Liang, Z., Ren, Y., Yan, J., Li, D., Voss, L. J., Sleigh, J. W., & Li, X. (2016). A comparison of different synchronization measures in electroencephalogram during propofol anesthesia. <i>Journal of Clinical Monitoring and Computing, 30 (4), 451-466.</i> <a href="https://doi.org/10.1007/s10877-015-9738-z"target="_blank"> DOI: 10.1007/s10877-015-9738-z</a> | |
dc.relation.haspart | <b>Artikkeli II:</b> Liang, Z., Bai, Y., Ren, Y., Li, X. (2016). Synchronization Measures in EEG signals, In <i>Signal Processing in Neuroscience, Springer. p. 167-202.</i> <a href="https://doi.org/10.1007/978-981-10-1822-0_9 "target="_blank"> DOI: 10.1007/978-981-10-1822-0_9 </a> | |
dc.relation.haspart | <b>Artikkeli III:</b> Zhang, R., Ren, Y., Liu, C., Xu, N., Li, X., Cong, F., . . . , & Wang, Y. (2017). Temporal-spatial characteristics of phase-amplitude coupling in electrocorticogram for human temporal lobe epilepsy. <i>Clinical Neurophysiology, 128 (9), 1707-1718.</i> <a href="https://doi.org/10.1016/j.clinph.2017.05.020"target="_blank"> DOI: 10.1016/j.clinph.2017.05.020</a> | |
dc.relation.haspart | <b>Artikkeli IV:</b> Ren, Y., Cong, F., Ristaniemi, T., Wang, Y., Li, X., & Zhang, R. (2019). Transient seizure onset network for localization of epileptogenic zone : effective connectivity and graph theory-based analyses of ECoG data in temporal lobe epilepsy. <i>Journal of Neurology, 266 (4), 844-859.</i> <a href="https://doi.org/10.1007/s00415-019-09204-4"target="_blank"> DOI: 10.1007/s00415-019-09204-4</a> | |
dc.relation.haspart | <b>Artikkeli V:</b> Ren, Y., Li, X., Cong, F., Xiao, s., Zhang, Q., Ao, T., Zhang, J., Wang, Y., Ristaniemi, T., Zhang. R. (2019). EEG source localization and functional connectivity in a rare patient with cold-induced reflex epilepsy. <i>Epileptic Disorders, ED-2019-08-0138, Under Review.</i> | |
dc.rights | In Copyright | |
dc.subject | aivotutkimus | |
dc.subject | EEG | |
dc.subject | epilepsia | |
dc.subject | leikkaushoito | |
dc.subject | markkerit | |
dc.subject | epileptogeeninen fokus | |
dc.subject | aivojen konnektiviteetti | |
dc.subject | brain connectivity | |
dc.subject | synchronization | |
dc.subject | epilepsy | |
dc.subject | epileptogenic focus | |
dc.subject | localization | |
dc.title | Brain connectivity analysis in epilepsy for epileptogenic focus localization | |
dc.type | Diss. | |
dc.identifier.urn | URN:ISBN:978-951-39-7954-6 | |
dc.contributor.tiedekunta | Faculty of Information Technology | en |
dc.contributor.tiedekunta | Informaatioteknologian tiedekunta | fi |
dc.contributor.yliopisto | University of Jyväskylä | en |
dc.contributor.yliopisto | Jyväskylän yliopisto | fi |
dc.relation.issn | 2489-9003 | |
dc.rights.copyright | © The Author & University of Jyväskylä | |
dc.rights.accesslevel | openAccess | |
dc.type.publication | doctoralThesis | |
dc.format.content | fulltext | |
dc.rights.url | https://rightsstatements.org/page/InC/1.0/ | |