三级保健中心自闭症谱系障碍儿童的脑电图特征谱

A. Kondekar, Sharandeep Kaur G. Siddhu, Neeta A. Naik
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引用次数: 0

摘要

在没有癫痫发作或癫痫史的ASD儿童中,癫痫样脑电图的发生率很高。自闭症谱系障碍与较高的癫痫风险相关,患病率在5%-46%之间。本研究旨在检测ASD患者脑电图异常的发生率,并评价癫痫和非癫痫患者脑电图变化谱与ASD临床特征及严重程度的关系。这项研究是在三级保健中心进行的。共研究了140例符合DSM V标准的ASD患者。所有病例均接受病史、生理、神经和神经精神评估。这些孩子接受了ISAA评分系统的心理测试。所有研究病例均进行脑电图测试。在我们的研究中,脑电图改变(癫痫性和非癫痫性放电)的发生率为45%,在没有癫痫发作的ASD病例中,脑电图改变的发生率为28.44%。在癫痫发作的ASD病例中,最常见的癫痫发作类型是全身性强直-阵挛性惊厥(GTCS),相反,最常见的脑电图变化是局灶性癫痫样活动。除少数脑电信号因年龄变化缓慢外,大部分脑电信号显示出结构良好的背景。在癫痫患儿中最主要的背景节奏是θ和δ混合,其次是θ和δ和α混合。然而,在没有癫痫史的儿童中,主要的节律是δ和δ。这可能是由于大量的脑电图记录是睡眠脑电图。我们将假设主要的脑电图变化在额叶可能与ASD行为模式的发病机制有一定的神经元联系。我们也建议在未来进行更详细的研究,使用不同类型的脑电图和更大的样本量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The spectrum of electroencephalographic characteristics in children with autistic spectrum disorder at a tertiary care centre
There are high rates of epileptiform EEGs in children with ASD without a history of seizures or epilepsy. ASD is associated with a higher risk of epilepsy with prevalence ranging from 5%-46%. The study was conducted to detect the prevalence of EEG abnormalities in ASD patients and to evaluate the spectrum of EEG changes in epileptic and nonepileptic patients with their clinical features and severity of ASD. The study was conducted at the tertiary care centre. A total of 140 cases with ASD, who met DSM V criteria for autism were studied. All the cases were screened with history taking, physical, neurological, and neuropsychiatric evaluation. These children were subjected to psychological testing using the ISAA scoring system. All the studied cases were also subjected to EEG testing. The prevalence of EEG changes (epileptic and non-epileptic discharges) in our study was 45%, with EEG changes seen in 28.44% of cases of ASD without seizure. In ASD cases with seizure, the most common seizure type was generalized tonic-clonic convulsion (GTCS), on the contrary, most common EEG changes were focal epileptiform activity. Most of EEG had shown well-formed background, except for few which were slow for age. The most dominant background rhythm was theta intermixed with delta followed by theta and delta intermixed with alpha in those children with seizures. Whereas, in children without a history of seizure, the dominant rhythm was delta theta alpha and theta delta. This may be due the o large number of EEG recordings being sleep EEG. We will like to hypothesize that the predominant EEG changes in the frontal lobe may have some neuronal link in the pathogenesis of behavior pattern in ASD. We also propose that more detailed study with different types of EEG and with a larger sample size should be done in the future.
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