EEG Findings in a Patient with Holmes Tremor after AVM Surgery: A Case Report and Literature Review.

Yang Wang, Bingjie Jiang
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Abstract

Background: Holmes tremor (HT) is a rare motor disorder characterized by high-amplitude and low-frequency resting, intentional, and postural tremors. HT typically arises from disruptions in neural pathways, including the dopaminergic system. Its causes include cerebrovascular incidents, neoplasms, demyelination, and infections. Diagnosis involves thorough clinical, neurophysiological, and neuroimaging assessments. Our report details the clinical profile, neuroimaging and EEG results and levodopa treatment response of an HT patient after cerebral arteriovenous malformation (AVM) surgery. Case Report: A female patient who underwent AVM surgery developed head tremor and dystonia. Neuroimaging revealed left thalamus involvement. Video electroencephalography (EEG) revealed high-amplitude, low-frequency tremors. The patient responded well to levodopa treatment. Conclusions: Involuntary rhythmic or non-rhythmic movements are a primary clinical feature of HT. A differential diagnosis of epilepsy and HT can be achieved through neurophysiological monitoring, avoiding the overuse of antiepileptic drugs. Symptoms can be alleviated with levodopa intervention.

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一名动静脉畸形手术后霍姆斯震颤患者的脑电图检查结果:病例报告与文献综述
背景:霍尔姆斯震颤(HT)是一种罕见的运动障碍,其特征是高幅低频的静止性、有意性和姿势性震颤。霍尔姆震颤通常是由于神经通路(包括多巴胺能系统)的紊乱引起的。其病因包括脑血管意外、肿瘤、脱髓鞘和感染。诊断涉及全面的临床、神经生理学和神经影像学评估。我们的报告详细介绍了一名脑动静脉畸形(AVM)术后 HT 患者的临床概况、神经影像学和脑电图结果以及左旋多巴治疗反应。病例报告:一名女性患者在接受动静脉畸形手术后出现头部震颤和肌张力障碍。神经影像学检查发现左侧丘脑受累。视频脑电图(EEG)显示患者出现高幅低频震颤。患者对左旋多巴治疗反应良好。结论不自主的节律性或非节律性运动是 HT 的主要临床特征。通过神经电生理监测可以鉴别诊断癫痫和 HT,避免过度使用抗癫痫药物。左旋多巴干预可减轻症状。
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The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children. EEG Findings in a Patient with Holmes Tremor after AVM Surgery: A Case Report and Literature Review. Home-based, Remotely Supervised, 6-Week tDCS in Patients With Both MCI and Depression: A Randomized Double-Blind Placebo-Controlled Trial. Hyperventilation Induced Seizures in Focal Epilepsy: Two Cases and a Review of Literature. Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data.
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