Neuromagnetic coherence of epileptic activity: An MEG study

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• 作者：Ting Wu^a ; ^c ; ¹ ; ^{lvwu123@163.com" class="auth_mail} ; Sheng Ge^b ; ¹ ; Rui Zhang^c ; Hongyi Liu^c ; Qiqi Chen^c ; Ruirui Zhao^a ; Yan Yin^a ; Xiuxiu Lv^a ; Tianzi Jiang^a
• 关键词：Coherence ; Functional connectivity ; Resting state ; Epilepsy ; Magnetoencephalography
• 刊名：Seizure
• 出版年：June 2014
• 年：2014
• 卷：23
• 期：6
• 页码：417-423
• 全文大小：5261 K

文摘

This study was undertaken to test the hypothesis that patients with epilepsy have abnormal imaginary coherence compared with control subjects.

Methods

Thirty patients with seizures underwent magnetoencephalography (MEG) recording using a whole cortex MEG system. Conventional equivalent current dipoles (ECDs) and synthetic aperture magnetometry (SAM) were used to analyze MEG data. Neural synchronization was studied using imaginary coherence to analyze resting-state MEG data. The ECDs, SAM, and MEG results were then compared with intra/extra-operative EEG.

Results

Abnormal imaginary coherence was identified in all patients (30/30, 100%). The locations of abnormal imaginary coherence were in agreement with the ECDs locations of spikes in 23 patients (23/30, 76.7%). The ECD locations in 5 patients were scattered or located bilaterally. The locations of abnormal imaginary coherence were in agreement with SAM locations in 26 patients (26/30, 86.7%). One case of imaginary coherence was located in two lobes. The ECDs fit locations were in agreement with SAM locations in 21 patients (21/30, 70.0%). The locations of abnormal imaginary coherence, ECDs, and SAM were in agreement with intra/extra-operative EEG in 23 patients (23/30, 76.7%), 17 patients (17/30, 56.7%), and 20 patients (20/30, 66.7%), respectively. The results of ECDs location, SAM location, imaginary coherence, and intracranial EEG (iEEG) were consistent in 15 patients (15/30, 50%).

Conclusions

The results show that patients with epilepsy have abnormal imaginary coherence, and suggest that the location and coherence of epileptic activity could be quantitatively identified and analyzed using neuromagnetic signals.