發(fā)布時(shí)間：2018-07-05 15:11

  本文選題：癲癇病灶 + IEEG��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：難治性癲癇患者通常要進(jìn)行手術(shù)干預(yù),在術(shù)前,患者需要接受侵入式視頻腦電監(jiān)測(cè)(IVEM)來(lái)確定癲癇發(fā)作部位和范圍。在先前的研究中,將計(jì)算得到的病灶區(qū)域與手術(shù)切除區(qū)域或者醫(yī)生用肉眼定位的區(qū)域做比較,發(fā)現(xiàn)對(duì)顱內(nèi)腦電進(jìn)行因果連接分析有助于癲癇病灶區(qū)域的定位,但是手術(shù)切除區(qū)域和醫(yī)生肉眼識(shí)別的區(qū)域都不能準(zhǔn)確定義病灶的范圍。本研究將顱內(nèi)腦電的因果連接分析應(yīng)用于已通過(guò)磁共振成像(MRI)探測(cè)出新皮質(zhì)損傷的癲癇患者,以便驗(yàn)證腦電的因果連接方法定位癲癇病灶的準(zhǔn)確性。本文研究了三個(gè)有新皮質(zhì)損傷的難治性癲癇病患者,使用自適應(yīng)有向傳遞函數(shù)(adaptive directed transfer function,ADTF)的時(shí)變的因果連接方法分析各個(gè)頻段的腦電數(shù)據(jù),得到三個(gè)患者的癲癇發(fā)作期間的皮層癲癇網(wǎng)絡(luò)。之后結(jié)合圖論的方法,分別使用兩個(gè)圖論指標(biāo),出度(out-degree)和中間中心性(betweenness-centrality)來(lái)找出癲癇網(wǎng)絡(luò)中的關(guān)鍵節(jié)點(diǎn)。在三個(gè)病人中,計(jì)算得出的最大出度和中間中心性的電極與其他電極相比,離病灶部分更近,而中間中心性的結(jié)果比出度更接近病灶。另外,我們發(fā)現(xiàn)出度和中間中心性兩種網(wǎng)絡(luò)指標(biāo)得到的結(jié)果都是跟頻率相關(guān)的,頻率更高的Gamma段(30—80Hz)跟病灶相關(guān)性更大,先前的研究也有類似發(fā)現(xiàn)。這項(xiàng)研究表明,對(duì)IEEG信號(hào)分析所得到的因果連接活動(dòng)模式,有助于加深我們對(duì)于癲癇腦電傳播機(jī)制的認(rèn)識(shí),同時(shí)有助于提高對(duì)難治性癲癇患者的病灶術(shù)前評(píng)估的準(zhǔn)確性。這項(xiàng)研究同時(shí)表明,在癲癇病灶定位方面,相比于出度,中間中心性可能是一種更好的網(wǎng)絡(luò)指標(biāo)。
[Abstract]:Patients with refractory epilepsy usually undergo surgical intervention. Before operation, patients need to undergo invasive video EEG monitoring (IVEM) to determine the location and extent of epileptic seizures. In previous studies, the calculated focus areas were compared with those that were surgically removed or where doctors located them with the naked eye, and it was found that the causal connection analysis of intracranial EEG could help locate the epileptic foci. However, the surgical resection area and the region recognized by the doctor do not accurately define the extent of the lesion. In this study, the causal connection analysis of intracranial EEG was applied to the epileptic patients with new cortical injury detected by magnetic resonance imaging (MRI), in order to verify the accuracy of the cause-and-effect connection method of EEG in locating epileptic foci. In this paper, three patients with intractable epilepsy with new cortical damage were studied. The time-varying causal connection method of adaptive directed transfer function (adaptive directed transfer) was used to analyze EEG data in different frequency bands. The cortical epileptic network of three patients was obtained during epileptic seizures. Then, two graph theory indexes, out-degree and betweenness-centrality, are used to find the key nodes in the epileptic network. In the three patients, the calculated maximum outliers and mesocentric electrodes were closer to the lesion than the other electrodes, while the mesocentric results were closer to the focus than the other electrodes. In addition, we found that both the outlier and the mesocentric network results are frequency dependent, and the higher-frequency Gamma segment (30-80Hz) is more correlated with the lesion. Similar findings have been made in previous studies. This study shows that the causal link activity pattern obtained by IEEG signal analysis is helpful to deepen our understanding of the transmission mechanism of epileptic EEG and to improve the accuracy of preoperative evaluation of the lesions in patients with intractable epilepsy. The study also suggests that mesocentricity may be a better network indicator of epileptic foci than its outlier.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：R742.1
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本文編號(hào)：2100649