Ictal EEG desynchronization during low-voltage fast activity for prediction of surgical outcomes in focal epilepsy

Author:

Hu Lingli1,Xiong Kai2,Ye Lingqi1,Yang Yuyu1,Chen Cong1,Wang Shan1,Ding Yao1,Wang Zhongjin1,Ming Wenjie1,Zheng Zhe1,Jiang Hongjie1,Li Hong3,Zhu Junming1,Xu Cenglin4,Wang Yi4,Ding Meiping1,Chen Zhong4,Wu Yingcai2,Wang Shuang1

Affiliation:

1. Department of Neurology, Epilepsy Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou;

2. School of Computer Science and Technology, Zhejiang University, Hangzhou;

3. Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou; and

4. Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China

Abstract

OBJECTIVE The authors investigated alterations in functional connectivity (FC) and EEG power during ictal onset patterns of low-voltage fast activity (LVFA) in drug-resistant focal epilepsy. They hypothesized that such changes would be useful to classify epilepsy surgical outcomes. METHODS In a cohort of 79 patients with drug-resistant focal epilepsy who underwent stereoelectroencephalography (SEEG) evaluation as well as resective surgery, FC changes during the peri-LVFA period were measured using nonlinear regression (h2) and power spectral properties within/between three regions: the seizure onset zone (SOZ), early propagation zone (PZ), and noninvolved zone (NIZ). Desynchronization and power desynchronization h2 indices were calculated to assess the degree of EEG desynchronization during LVFA. Multivariate logistic regression was employed to control for confounding factors. Finally, receiver operating characteristic curves were generated to evaluate the performance of desynchronization indices in predicting surgical outcome. RESULTS Fifty-three patients showed ictal LVFA and distinct zones of the SOZ, PZ, and NIZ. Among them, 39 patients (73.6%) achieved seizure freedom by the final follow-up. EEG desynchronization, measured by h2 analysis, was found in the seizure-free group during LVFA: FC decreased within the SOZ and between regions compared with the pre-LVFA and post-LVFA periods. In contrast, the non–seizure-free group showed no prominent EEG desynchronization. The h2 desynchronization index, but not the power desynchronization index, enabled classification of seizure-free versus non–seizure-free patients after resective surgery. CONCLUSIONS EEG desynchronization during the peri-LVFA period, measured by within-zone and between-zone h2 analysis, may be helpful for identifying patients with favorable postsurgical outcomes and also may potentially improve epileptogenic zone identification in the future.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

Genetics,Animal Science and Zoology

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