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World Journal of Pediatrics

Open Access 08-11-2023 | Hamartoma | Original Article

Neural network mapping of gelastic behavior in children with hypothalamus hamartoma

Authors: Zhi-Hao Guo, Jian-Guo Zhang, Xiao-Qiu Shao, Wen-Han Hu, Lin Sang, Zhong Zheng, Chao Zhang, Xiu Wang, Chun-De Li, Jia-Jie Mo, Kai Zhang

Published in: World Journal of Pediatrics

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Abstract

Background

Hypothalamus hamartomas (HHs) are rare, congenital, tumor-like, and nonprogressive malformations resulting in drug-resistant epilepsy, mainly affecting children. Gelastic seizures (GS) are an early hallmark of epilepsy with HH. The aim of this study was to explore the disease progression and the underlying physiopathological mechanisms of pathological laughter in HH.

Methods

We obtained clinical information and metabolic images of 56 HH patients and utilized ictal semiology evaluation to stratify the specimens into GS-only, GS-plus, and no-GS subgroups and then applied contrasted trajectories inference (cTI) to calculate the pseudotime value and evaluate GS progression. Ordinal logistic regression was performed to identify neuroimaging-clinical predictors of GS, and then voxelwise lesion network-symptom mapping (LNSM) was applied to explore GS-associated brain regions.

Results

cTI inferred the specific metabolism trajectories of GS progression and revealed increased complexity from GS to other seizure types. This was further validated via actual disease duration (Pearson R = 0.532, P = 0.028). Male sex [odds ratio (OR) = 2.611, P = 0.013], low age at seizure onset (OR = 0.361, P = 0.005), high normalized HH metabolism (OR =  − 1.971, P = 0.037) and severe seizure burden (OR =  − 0.006, P = 0.032) were significant neuroimaging clinical predictors. LNSM revealed that the dysfunctional cortico-subcortico-cerebellar network of GS and the somatosensory cortex (S1) represented a negative correlation.

Conclusions

This study sheds light on the clinical characteristics and progression of GS in children with HH. We identified distinct subtypes of GS and demonstrated the involvement of specific brain regions at the cortical–subcortical–cerebellar level. These valuable results contribute to our understanding of the neural correlates of GS.
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Metadata
Title
Neural network mapping of gelastic behavior in children with hypothalamus hamartoma
Authors
Zhi-Hao Guo
Jian-Guo Zhang
Xiao-Qiu Shao
Wen-Han Hu
Lin Sang
Zhong Zheng
Chao Zhang
Xiu Wang
Chun-De Li
Jia-Jie Mo
Kai Zhang
Publication date
08-11-2023
Publisher
Springer Nature Singapore
Keyword
Hamartoma
Published in
World Journal of Pediatrics
Print ISSN: 1708-8569
Electronic ISSN: 1867-0687
DOI
https://doi.org/10.1007/s12519-023-00763-1