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The Anatomo-Electrical Network Underlying Hypermotor Seizures
PURPOSE: Hypermotor seizures (HMS) can be triggered by different epileptogenic foci and thus common symptomatic networks generating HMS may exist among these patients. The goal of the present study was to investigate the specialized networks underlying HMS by analyzing interictal (18)FDG-PET imaging...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904199/ https://www.ncbi.nlm.nih.gov/pubmed/29695997 http://dx.doi.org/10.3389/fneur.2018.00243 |
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author | Wang, Xiu Hu, Wenhan Zhang, Kai Shao, Xiaoqiu Ma, Yanshan Sang, Lin Zheng, Zhong Zhang, Chao Li, Junjv Zhang, Jian-guo |
author_facet | Wang, Xiu Hu, Wenhan Zhang, Kai Shao, Xiaoqiu Ma, Yanshan Sang, Lin Zheng, Zhong Zhang, Chao Li, Junjv Zhang, Jian-guo |
author_sort | Wang, Xiu |
collection | PubMed |
description | PURPOSE: Hypermotor seizures (HMS) can be triggered by different epileptogenic foci and thus common symptomatic networks generating HMS may exist among these patients. The goal of the present study was to investigate the specialized networks underlying HMS by analyzing interictal (18)FDG-PET imaging and ictal stereo-electroencephalography (SEEG) recordings. METHODS: Fourteen patients with HMS were retrospectively analyzed. HMS were classified into HMS1 and HMS2 according to the speed and intensity of the motor seizure behavior. Then, the interictal PET data of patients was compared with those of 18 healthy controls using statistical parametric mapping to identify regions with significant hypometabolism. Ictal SEEG recordings were reviewed to identify the spreading areas at the beginning of HMS occurrence. RESULTS: Compared to controls, patients with HMS presented significant hypometabolism in the bilateral anterosuperior insular lobes, mesial premotor cortex (MPMC), middle cingulate cortex (MCC), as well as in the bilateral caudate nuclei. When comparing patients in the two HMS subgroups with controls, more extensive hypometabolic areas were seen in HMS1 patients than in HMS2 patients, including the orbitofrontal cortex (OFC), the temporal pole, and the anterior cingulate cortex (ACC). OFC and ventromedial prefrontal cortex was also found significantly hypometabolic in patients with HMS1 when compared with HMS2 directly. SEEG recordings further suggested that insula, MCC, and MPMC were commonly recruited at the beginning of HMS. CONCLUSION: We have identified a specialized interictal hypometabolic pattern in patients with HMS. A network involving the anterosuperior insula, mesiofrontal cortex (MCC-MPMC), and caudate nucleus may contribute to the generation of HMS. ACC, OFC, and temporal pole are possibly associated with the affective components of HMS. Our findings provide further insight into understanding the network basis of HMS semiology. |
format | Online Article Text |
id | pubmed-5904199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59041992018-04-25 The Anatomo-Electrical Network Underlying Hypermotor Seizures Wang, Xiu Hu, Wenhan Zhang, Kai Shao, Xiaoqiu Ma, Yanshan Sang, Lin Zheng, Zhong Zhang, Chao Li, Junjv Zhang, Jian-guo Front Neurol Neuroscience PURPOSE: Hypermotor seizures (HMS) can be triggered by different epileptogenic foci and thus common symptomatic networks generating HMS may exist among these patients. The goal of the present study was to investigate the specialized networks underlying HMS by analyzing interictal (18)FDG-PET imaging and ictal stereo-electroencephalography (SEEG) recordings. METHODS: Fourteen patients with HMS were retrospectively analyzed. HMS were classified into HMS1 and HMS2 according to the speed and intensity of the motor seizure behavior. Then, the interictal PET data of patients was compared with those of 18 healthy controls using statistical parametric mapping to identify regions with significant hypometabolism. Ictal SEEG recordings were reviewed to identify the spreading areas at the beginning of HMS occurrence. RESULTS: Compared to controls, patients with HMS presented significant hypometabolism in the bilateral anterosuperior insular lobes, mesial premotor cortex (MPMC), middle cingulate cortex (MCC), as well as in the bilateral caudate nuclei. When comparing patients in the two HMS subgroups with controls, more extensive hypometabolic areas were seen in HMS1 patients than in HMS2 patients, including the orbitofrontal cortex (OFC), the temporal pole, and the anterior cingulate cortex (ACC). OFC and ventromedial prefrontal cortex was also found significantly hypometabolic in patients with HMS1 when compared with HMS2 directly. SEEG recordings further suggested that insula, MCC, and MPMC were commonly recruited at the beginning of HMS. CONCLUSION: We have identified a specialized interictal hypometabolic pattern in patients with HMS. A network involving the anterosuperior insula, mesiofrontal cortex (MCC-MPMC), and caudate nucleus may contribute to the generation of HMS. ACC, OFC, and temporal pole are possibly associated with the affective components of HMS. Our findings provide further insight into understanding the network basis of HMS semiology. Frontiers Media S.A. 2018-04-11 /pmc/articles/PMC5904199/ /pubmed/29695997 http://dx.doi.org/10.3389/fneur.2018.00243 Text en Copyright © 2018 Wang, Hu, Zhang, Shao, Ma, Sang, Zheng, Zhang, Li and Zhang. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Xiu Hu, Wenhan Zhang, Kai Shao, Xiaoqiu Ma, Yanshan Sang, Lin Zheng, Zhong Zhang, Chao Li, Junjv Zhang, Jian-guo The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title | The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title_full | The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title_fullStr | The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title_full_unstemmed | The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title_short | The Anatomo-Electrical Network Underlying Hypermotor Seizures |
title_sort | anatomo-electrical network underlying hypermotor seizures |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904199/ https://www.ncbi.nlm.nih.gov/pubmed/29695997 http://dx.doi.org/10.3389/fneur.2018.00243 |
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