Network of ictal head version in mesial temporal lobe epilepsy

Wang, Yao; Wang, Xiu; Lin, Shanshan; Zhang, Chao; Zhao, Baotian; Mo, Jiajie; Hu, Wenhan; Shao, Xiaoqiu; Wang, Feng; Lin, Aiming; Zhang, Jianguo; Zhang, Kai

doi:10.1002/brb3.1820

Cited by 1 publication

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“…In the statistical analysis were used only these voxels with > 30% of the maximum value (mask with a threshold of 0.3) reduce the background activity. The SPM maps threshold was corrected using P < 0.05 for multiple comparisons with the false discovery rate (FDR) method, whereas was applied a cluster threshold of 100 voxels [ 27 , 28 ]. Metabolic synchronization calculations were retrieved by the normalization of the average FDG uptake values across the voxels.…”

Section: Methodsmentioning

confidence: 99%

Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy

Wang

Zhang

et al. 2022

EJNMMI Res

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Purpose Hand automatisms (HA) are common clinical manifestations in mesial temporal lobe epilepsy. However, the location of the symptomatogenic zone (EZ) in HA as well as the networks involved, are still unclear. To have a better understanding of HA underlying mechanisms, we analyzed images from interictal [18F] fluorodeoxyglucose-positron emission tomography (FDG-PET) in patients with mesial temporal lobe epilepsy (mTLE). Methods We retrospectively recruited 79 mTLE patients and 18 healthy people that substituted the control group for the analysis. All patients underwent anterior temporal lobectomy and were seizure-free. Based on the semiology of the HA occurrence, the patients were divided into three subgroups: patients with unilateral HA (Uni-HA), with bilateral HA (Bil-HA) and without HA (None-HA). We performed the intergroup comparison analysis of the interictal FDG-PET images and compared the functional connectivity within metabolic communities. Results Our analysis showed that the metabolic patterns varied among the different groups. The Uni-HA subgroup had significant differences in the extratemporal lobe brain areas, mostly in the ipsilateral supplementary motor area (SMA) and middle cingulate cortex (MCC) when compared to the healthy control group. The Bil-HA subgroup demonstrated that the bilateral SMA and MCC areas were differentially affected, whereas in the None-HA subgroup the differences were evident in limited brain areas. The metabolic network involving HA showed a constrained network embedding the SMA and MCC brain regions. Furthermore, the increased metabolic synchronization between SMA and MCC was significantly correlated with HA. Conclusion The metabolic pattern of HA was most conspicuous in SMA and MCC brain regions. Increased metabolic synchronization within SMA and MCC was considered as the major EZ of HA.

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Section: Methodsmentioning

confidence: 99%