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Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy
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 in...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166918/ https://www.ncbi.nlm.nih.gov/pubmed/35657491 http://dx.doi.org/10.1186/s13550-022-00902-1 |
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author | Mo, Jiajie Wang, Yao Zhang, Jianguo Cai, Lixin Liu, Qingzhu Hu, Wenhan Sang, Lin Zhang, Chao Wang, Xiu Shao, Xiaoqiu Zhang, Kai |
author_facet | Mo, Jiajie Wang, Yao Zhang, Jianguo Cai, Lixin Liu, Qingzhu Hu, Wenhan Sang, Lin Zhang, Chao Wang, Xiu Shao, Xiaoqiu Zhang, Kai |
author_sort | Mo, Jiajie |
collection | PubMed |
description | 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 [(18)F] 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. |
format | Online Article Text |
id | pubmed-9166918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91669182022-06-05 Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy Mo, Jiajie Wang, Yao Zhang, Jianguo Cai, Lixin Liu, Qingzhu Hu, Wenhan Sang, Lin Zhang, Chao Wang, Xiu Shao, Xiaoqiu Zhang, Kai EJNMMI Res Original Research 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 [(18)F] 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. Springer Berlin Heidelberg 2022-06-03 /pmc/articles/PMC9166918/ /pubmed/35657491 http://dx.doi.org/10.1186/s13550-022-00902-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Mo, Jiajie Wang, Yao Zhang, Jianguo Cai, Lixin Liu, Qingzhu Hu, Wenhan Sang, Lin Zhang, Chao Wang, Xiu Shao, Xiaoqiu Zhang, Kai Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title | Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title_full | Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title_fullStr | Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title_full_unstemmed | Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title_short | Metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
title_sort | metabolic phenotyping of hand automatisms in mesial temporal lobe epilepsy |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166918/ https://www.ncbi.nlm.nih.gov/pubmed/35657491 http://dx.doi.org/10.1186/s13550-022-00902-1 |
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