Quantitative EEG analysis in children with tic disorders

doi:10.3969/j.issn.1672-6731.2020.11.009

Abstract

Abstract:

Objective The current study aimed to clarify quantitative electroencephalography (EEG) characteristics of children with tic disorders (TD), discuss possible mechanisms of tic disorders, and explore the application value of quantitative EEG for the diagnosis and treatment of tic disorders. Methods EEG data of 104 children with tic disorders (TD group) treated at the Departemnt of Pediatric in Beijing Tiantan Hospital, Capital Medical University between January 2019 and December 2019 were retrospectively analyzed. EEG data were screened for specific time periods without obvious artifacts. The relative α, β, θ and δ bands energy, θ/β ratio, and spectral boundary of Fp1, Fp2, F3 and F4 were extracted. Forty-nine children matched by sex and age were randomly selected as the control group for statistical analysis. Results In comparison with the control group, children with tic disorders, Fp1, Fp2 showed higher relative θ band energy (Z=2.354, P=0.019; t=-2.351, P=0.020) and higher θ/β ratio (Z=1.990, P=0.047; Z=2.206, P=0.027), F3 showed higher relative δ band energy (t=-2.107, P=0.037), F4 showed higher relative θ band energy (Z=2.342, P=0.019), higher relative δ band energy (Z=2.510, P=0.012) and higher θ/β ratio (Z=2.266, P=0.023); Fp1, Fp2, F3 and F4 showed lower relative α band energy (Z=-3.005, P=0.003; Z=-2.829, P=0.005; Z=-2.905, P=0.004; Z=-2.849, P=0.004); F4 showed lower relative β band energy (Z=-2.022, P=0.043). No significant difference was identified in spectral boundary (P>0.05, for all). Conclusions The results suggested that the primary lesion of tic disorders mainly involved the frontal cortex, and lead to brain excitation-inhibition imbalance. Quantitative EEG can provide objective evidences for the diagnosis and treatment response assessment of patients with tic disorders.

Key words: Tourette syndrome, Electroencephalography, Child

摘要：

目的分析抽动障碍患儿定量脑电图特征，探讨定量脑电图在抽动障碍诊治中的应用价值以及抽动障碍的发病机制。方法回顾分析2019年1-12月共104例抽动障碍患儿和49例性别、年龄相匹配的正常对照者脑电图资料，比较额叶Fp1、Fp2、F3和F4共4组导联的α、β、θ、δ频段相对能量、θ/β功率比和光谱边界等量化指标。结果抽动障碍组患儿额叶Fp1和Fp2导联中θ频段相对能量（Z=2.354，P=0.019；t=-2.351，P=0.020）和θ/β功率比（Z=1.990，P=0.047；Z=2.206，P=0.027），F3导联中δ频段相对能量（t=-2.107，P=0.037），F4导联中θ频段相对能量（Z=2.342，P=0.019）、δ频段相对能量（Z=2.510，P=0.012）和θ/β功率比（Z=2.266，P=0.023）均高于对照组；4组导联中α频段相对能量均低于对照组（Z=-3.005，P=0.003；Z=-2.829，P=0.005；Z=-2.905，P=0.004；Z=-2.849，P=0.004），F4导联中β频段相对能量亦低于对照组（Z=-2.022，P=0.043）；而光谱边界组间差异无统计学意义（均P>0.05）。结论抽动障碍的病变累及额叶皮质并造成脑激活-抑制功能失调。定量脑电图可以为抽动障碍的诊断和疗效评估提供客观依据。

关键词: 多动秽语综合征, 脑电描记术, 儿童

MA Si-yuan, FAN Xing, QIAO Hui. Quantitative EEG analysis in children with tic disorders[J]. Chinese Journal of Contemporary Neurology and Neurosurgery, 2020, 20(11): 982-986.

马思远, 樊星, 乔慧. 抽动障碍定量脑电图分析[J]. 中国现代神经疾病杂志, 2020, 20(11): 982-986.

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