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Distinct gray matter and metabolic characteristics in hypothalamic hamartoma network with different semiology

癫痫 梨状皮质 符号学 下丘脑错构瘤 扁桃形结构 磁共振成像 基于体素的形态计量学 医学 颞叶 病理 神经影像学 心理学 神经科学 内科学 白质 放射科 激素 性早熟
作者
Y.-Z. Wang,Tao Feng,Fenglai Xiao,Yanfeng Yang,Marine Fleury,Lawrence P. Binding,Davide Giampiccolo,Peter N. Taylor,Matthias J. Koepp,John S. Duncan,Penghu Wei,Yongzhi Shan,Guoguang Zhao
出处
期刊:Epilepsia [Wiley]
标识
DOI:10.1111/epi.18438
摘要

Abstract Objective Hypothalamic hamartomas (HHs) are developmental malformations associated with focal epilepsy. We investigated the patterns of gray matter morphology and cerebral metabolism in individuals with HHs, with and without focal to bilateral tonic–clonic seizures (FBTCSs), aiming to clarify the accompanying network abnormalities. Methods We analyzed magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (PET) data from 59 patients with HHs (28 with FBTCSs, 31 without), as well as MRI data from 30 healthy controls (HCs) and PET data from 45 HCs. We assessed gray matter voxel‐based morphometry and quantitative analysis of cerebral glucose uptake in HH patients and controls, with age, sex, and total intracranial volume as covariates, and drew correlations with duration of epilepsy and seizure semiology and frequency. Results Compared to HCs, HH patients had significantly increased gray matter volume (GMV) in the ipsilateral amygdala, piriform cortex, hypothalamus, and bilateral temporal cortices; patients with FBTCSs primarily showed increased GMV in the HH stalk, whereas those without FBTCSs showed increased GMV prominently in the amygdala. GMVs of amygdala and piriform cortex were greater and the ipsilateral midtemporal cortex was more hypometabolic the longer the duration of epilepsy and the greater the seizure frequency. No significant GMV or cerebral glucose uptake differences were found between HH patients with and without FBTCSs. Significance HH‐related epilepsy is a network disorder characterized by widespread abnormalities beyond the lesion. This highlights the importance of considering the whole network when formulating diagnosis and treatment plans.

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