The Anatomo-Electrical Network Underlying Hypermotor Seizures

PurposeHypermotor 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 18FDG-PET imaging and...

Full description

Bibliographic Details
Main Authors: Xiu Wang, Wenhan Hu, Kai Zhang, Xiaoqiu Shao, Yanshan Ma, Lin Sang, Zhong Zheng, Chao Zhang, Junjv Li, Jian-guo Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Neurology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fneur.2018.00243/full
_version_ 1818338883550576640
author Xiu Wang
Wenhan Hu
Wenhan Hu
Kai Zhang
Kai Zhang
Xiaoqiu Shao
Yanshan Ma
Lin Sang
Zhong Zheng
Chao Zhang
Chao Zhang
Junjv Li
Jian-guo Zhang
Jian-guo Zhang
Jian-guo Zhang
author_facet Xiu Wang
Wenhan Hu
Wenhan Hu
Kai Zhang
Kai Zhang
Xiaoqiu Shao
Yanshan Ma
Lin Sang
Zhong Zheng
Chao Zhang
Chao Zhang
Junjv Li
Jian-guo Zhang
Jian-guo Zhang
Jian-guo Zhang
author_sort Xiu Wang
collection DOAJ
description PurposeHypermotor 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 18FDG-PET imaging and ictal stereo-electroencephalography (SEEG) recordings.MethodsFourteen 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.ResultsCompared 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.ConclusionWe 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.
first_indexed 2024-12-13T15:18:11Z
format Article
id doaj.art-33f7421f977644ab9f22cea2d87cafe5
institution Directory Open Access Journal
issn 1664-2295
language English
last_indexed 2024-12-13T15:18:11Z
publishDate 2018-04-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neurology
spelling doaj.art-33f7421f977644ab9f22cea2d87cafe52022-12-21T23:40:39ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-04-01910.3389/fneur.2018.00243336285The Anatomo-Electrical Network Underlying Hypermotor SeizuresXiu Wang0Wenhan Hu1Wenhan Hu2Kai Zhang3Kai Zhang4Xiaoqiu Shao5Yanshan Ma6Lin Sang7Zhong Zheng8Chao Zhang9Chao Zhang10Junjv Li11Jian-guo Zhang12Jian-guo Zhang13Jian-guo Zhang14Department of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, ChinaStereotactic and Functional Neurosurgery Laboratory, Beijing Neurosurgical Institute, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Neurostimulation, Beijing, ChinaDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Neurostimulation, Beijing, ChinaDepartment of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, ChinaEpilepsy Center, Medical Alliance of Beijing Tian Tan Hospital, Peking University First Hospital Fengtai Hospital, Beijing, ChinaEpilepsy Center, Medical Alliance of Beijing Tian Tan Hospital, Peking University First Hospital Fengtai Hospital, Beijing, ChinaEpilepsy Center, Medical Alliance of Beijing Tian Tan Hospital, Peking University First Hospital Fengtai Hospital, Beijing, ChinaDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Neurostimulation, Beijing, ChinaDepartment of Neurosurgery, Hainan General Hospital, Haikou, ChinaDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, Beijing, ChinaStereotactic and Functional Neurosurgery Laboratory, Beijing Neurosurgical Institute, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Neurostimulation, Beijing, ChinaPurposeHypermotor 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 18FDG-PET imaging and ictal stereo-electroencephalography (SEEG) recordings.MethodsFourteen 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.ResultsCompared 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.ConclusionWe 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.http://journal.frontiersin.org/article/10.3389/fneur.2018.00243/fullsemiologyhypermotorinterictal 18FDG-PETstereo-electroencephalographynetworkcingulate cortex
spellingShingle Xiu Wang
Wenhan Hu
Wenhan Hu
Kai Zhang
Kai Zhang
Xiaoqiu Shao
Yanshan Ma
Lin Sang
Zhong Zheng
Chao Zhang
Chao Zhang
Junjv Li
Jian-guo Zhang
Jian-guo Zhang
Jian-guo Zhang
The Anatomo-Electrical Network Underlying Hypermotor Seizures
Frontiers in Neurology
semiology
hypermotor
interictal 18FDG-PET
stereo-electroencephalography
network
cingulate cortex
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 semiology
hypermotor
interictal 18FDG-PET
stereo-electroencephalography
network
cingulate cortex
url http://journal.frontiersin.org/article/10.3389/fneur.2018.00243/full
work_keys_str_mv AT xiuwang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT wenhanhu theanatomoelectricalnetworkunderlyinghypermotorseizures
AT wenhanhu theanatomoelectricalnetworkunderlyinghypermotorseizures
AT kaizhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT kaizhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT xiaoqiushao theanatomoelectricalnetworkunderlyinghypermotorseizures
AT yanshanma theanatomoelectricalnetworkunderlyinghypermotorseizures
AT linsang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT zhongzheng theanatomoelectricalnetworkunderlyinghypermotorseizures
AT chaozhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT chaozhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT junjvli theanatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang theanatomoelectricalnetworkunderlyinghypermotorseizures
AT xiuwang anatomoelectricalnetworkunderlyinghypermotorseizures
AT wenhanhu anatomoelectricalnetworkunderlyinghypermotorseizures
AT wenhanhu anatomoelectricalnetworkunderlyinghypermotorseizures
AT kaizhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT kaizhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT xiaoqiushao anatomoelectricalnetworkunderlyinghypermotorseizures
AT yanshanma anatomoelectricalnetworkunderlyinghypermotorseizures
AT linsang anatomoelectricalnetworkunderlyinghypermotorseizures
AT zhongzheng anatomoelectricalnetworkunderlyinghypermotorseizures
AT chaozhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT chaozhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT junjvli anatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang anatomoelectricalnetworkunderlyinghypermotorseizures
AT jianguozhang anatomoelectricalnetworkunderlyinghypermotorseizures