Chu Yen-Ju, Chang Chi-Feng, Shieh Jiann-Shing, Lee Wang-Tso
Department of Pediatric Neurology, National Taiwan University Children's Hospital, Taipei 100, Taiwan.
Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan.
Entropy (Basel). 2017 Aug 21;19(8):428. doi: 10.3390/e19080428.
Electroencephalography (EEG) is frequently used in functional neurological assessment of children with neurological and neuropsychiatric disorders. Multiscale entropy (MSE) can reveal complexity in both short and long time scales and is more feasible in the analysis of EEG. Entropy-based estimation of EEG complexity is a powerful tool in investigating the underlying disturbances of neural networks of the brain. Most neurological and neuropsychiatric disorders in childhood affect the early stage of brain development. The analysis of EEG complexity may show the influences of different neurological and neuropsychiatric disorders on different regions of the brain during development. This article aims to give a brief summary of current concepts of MSE analysis in pediatric neurological and neuropsychiatric disorders. Studies utilizing MSE or its modifications for investigating neurological and neuropsychiatric disorders in children were reviewed. Abnormal EEG complexity was shown in a variety of childhood neurological and neuropsychiatric diseases, including autism, attention deficit/hyperactivity disorder, Tourette syndrome, and epilepsy in infancy and childhood. MSE has been shown to be a powerful method for analyzing the non-linear anomaly of EEG in childhood neurological diseases. Further studies are needed to show its clinical implications on diagnosis, treatment, and outcome prediction.
脑电图（EEG）常用于对患有神经和神经精神疾病的儿童进行功能神经学评估。多尺度熵（MSE）能够揭示短期和长期时间尺度上的复杂性，在脑电图分析中更具可行性。基于熵的脑电图复杂性估计是研究大脑神经网络潜在紊乱的有力工具。儿童期的大多数神经和神经精神疾病会影响大脑发育的早期阶段。脑电图复杂性分析可能会显示不同神经和神经精神疾病在发育过程中对大脑不同区域的影响。本文旨在简要总结当前小儿神经和神经精神疾病中MSE分析的概念。回顾了利用MSE或其改进方法研究儿童神经和神经精神疾病的研究。在多种儿童神经和神经精神疾病中均显示出脑电图复杂性异常，包括自闭症、注意力缺陷多动障碍、抽动秽语综合征以及婴幼儿和儿童期癫痫。MSE已被证明是分析儿童神经疾病中脑电图非线性异常的有力方法。还需要进一步研究以表明其在诊断、治疗和预后预测方面的临床意义。
