Electroencephalographic aspects and phenotypic characteristics in children with autism.

Q3 Medicine
Alexandru Capisizu, Leon Zăgrean, Adriana Sorina Capisizu
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引用次数: 0

Abstract

Autism is a severe neurodevelopmental disorder that affects many individuals around the world, with a constantly increasing prevalence. The association between autism and electroencephalographic (EEG) abnormalities in children suggests a worse evolution of clinical features. A retrospective study was conducted, including 101 children with autism who underwent clinical and neurological examination and wake electroencephalography. This study aimed to examine EEG abnormalities in children with autism, identify phenotypic characteristics associated with these abnormalities, asses their clinical relevance, and determine potential phenotypic correlations. The results showed that 10.89% of the patients in the study presented EEG abnormalities, similar to those of other studies that used wake EEG. Of these patients, 18.18% presented epileptic-type discharges, such as spike and wave complexes, and 81.81% presented non-epileptic-type abnormalities, such as bursts of slow waves, generalized or focal. Regarding the phenotypic profile of the patients with EEG abnormalities, 45.45% had a positive family history, 63.63% presented with dysmorphic features and 27.27% presented with gait disturbance. This study shows that some children with autism present multiple EEG abnormalities and diverse phenotypic traits in terms of personal and family history, dysmorphic features, and neurological examination. Identifying EEG abnormalities can improve clinical decisions with complex treatment and monitoring of co-occurring conditions like epilepsy. The use of accessible, effective, and noninvasive assessment tools, such as EEG recordings and neurological examinations in children with autism, can provide valuable support for improved case management.

自闭症儿童的脑电图特征和表型特征。
自闭症是一种严重的神经发育障碍,影响着世界各地的许多人,患病率不断上升。自闭症与儿童脑电图(EEG)异常之间的联系表明临床特征的恶化演变。我们对101名自闭症儿童进行了回顾性研究,并对他们进行了临床和神经学检查以及清醒脑电图检查。本研究旨在检查自闭症儿童的脑电图异常,确定与这些异常相关的表型特征,评估其临床相关性,并确定潜在的表型相关性。结果显示,10.89%的患者出现脑电图异常,与其他使用醒脑电图的研究结果相似。在这些患者中,18.18%表现为癫痫型放电,如峰状和波状复合体,81.81%表现为非癫痫型异常,如慢波爆发,全面性或局灶性。在脑电图异常患者的表型谱中,有家族史的占45.45%,有畸形特征的占63.63%,有步态障碍的占27.27%。本研究表明,一些自闭症儿童在个人和家族史、畸形特征和神经学检查方面存在多重脑电图异常和多种表型特征。识别脑电图异常可以通过复杂的治疗和监测癫痫等并发疾病来改善临床决策。使用可获得的、有效的、无创的评估工具,如自闭症儿童的脑电图记录和神经学检查,可以为改进病例管理提供宝贵的支持。
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来源期刊
Journal of Medicine and Life
Journal of Medicine and Life Medicine-Medicine (all)
CiteScore
1.90
自引率
0.00%
发文量
202
期刊介绍: The Journal of Medicine and Life publishes peer-reviewed articles from various fields of medicine and life sciences, including original research, systematic reviews, special reports, case presentations, major medical breakthroughs and letters to the editor. The Journal focuses on current matters that lie at the intersection of biomedical science and clinical practice and strives to present this information to inform health care delivery and improve patient outcomes. Papers addressing topics such as neuroprotection, neurorehabilitation, neuroplasticity, and neuroregeneration are particularly encouraged, as part of the Journal''s continuous interest in neuroscience research. The Editorial Board of the Journal of Medicine and Life is open to consider manuscripts from all levels of research and areas of biological sciences, including fundamental, experimental or clinical research and matters of public health. As part of our pledge to promote an educational and community-building environment, our issues feature sections designated to informing our readers regarding exciting international congresses, teaching courses and relevant institutional-level events.
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