自闭症非癫痫儿童的脑电图表现

Arwa K. Ibrahem, Hula Shareef, Kanar Shaker, Dhay Mohammed, Farqad Bader Hamdan
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摘要

尽管自闭症谱系障碍(ASDs)和癫痫之间的联系得到了广泛的认可,但在没有临床发作的癫痫儿童中,脑电图(EEG)变化的患病率和意义仍不清楚。的目标。本研究的主要目的是报告非癫痫或癫痫前自闭症儿童脑电图异常的患病率,调查其与一系列预先确定的危险因素的关系,推测其重要性,并指导未来的研究工作。方法。对诊断为自闭症的儿童进行了个案抽样。仅包括无癫痫史和年龄在15岁以下的患者。所有患者均接受脑电图检查。使用一组预先确定的因素,将脑电图异常的儿童(病例组)与脑电图正常的年龄匹配的对照组进行比较。结果。我们的研究共纳入38例患者,其中31.6% (n=12)的脑电图读数异常。其中,有两名患者出现了以下EEG异常:额叶锐波、额叶慢波、颞叶慢波、双颞叶慢波、额叶锐波、广泛性锐波、额叶间歇节律性三角洲活动(FIRDA)。脑电图异常的患者更有可能有癫痫和/或自闭症家族史,相应的奇比分别为28.05和12.62。结论。在非癫痫性ASD患者中观察到异常的大脑连接模式,我们的研究结果支持这些发现。此外,我们认为性别、母亲的年龄、分娩方式和语言异常都可能对脑电图结果产生影响。然而,需要更多的研究来扩展这些发现。
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Electroencephalographic findings in autistic non-epileptic children
Despite the well-acknowledged link between autism spectrum disorders (ASDs) and epilepsy, the prevalence and significance of electroencephalogram (EEG) changes in epileptic children in the absence of clinical seizures remains underdetermined. Aim. The primary goal of this study is to report the prevalence of EEG abnormalities in non-epileptic or pre-epileptic autistic children, investigate their association with a set of pre-determined risk factors, speculate on their significance, and direct future research efforts. Methods. A case-based sampling for children diagnosed with autism was done. Only patients without a history of epilepsy and those under the age of 15 were included. All patients underwent an EEG study. Children with abnormal EEG findings (case group) were compared to age-matched controls with normal EEG findings using a set of pre-determined factors. Results. A total of 38 patients were enrolled in our study, of whom 31.6% (n=12) had abnormal EEG readings. Of those, the presence of the following EEG abnormalities were noted – each being present in two patients: frontal sharp waves, frontal slowing, temporal slowing, bitemporal slowing, frontal sharp waves, and generalized sharp waves, Frontal intermittent rhythmic delta activity (FIRDA). Patients with abnormal EEG findings were more likely to have a positive family history of epilepsy and/or autism, with odd ratios of 28.05, and 12.62, accordingly. Conclusion. Aberrant brain connectivity patterns have been observed in non-epileptic ASD patients, and our findings support these findings. Furthermore, we believe that gender, mother's age, mode of delivery, and speech abnormalities could all have an impact on the EEG results. However, more research is needed to expand on these findings.
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