Application of electroencephalogram spectrum analysis in early diagnosis and rehabilitation intervention evaluation of children with autism spectrum disorder

doi:10.11852/zgetbjzz2022-0504

Abstract

Abstract: Objective To analyze the application value of electroencephalogram (EEG) characteristics in different frequency bands in early diagnosis and rehabilitation intervention evaluation of children with autism spectrum disorder (ASD) by using EEG spectrum analysis technology. Method From January to December 2021, 35 ASD children aged 2 to 4 years who met the inclusion criteria were recruited into the ASD group, and received comprehensive rehabilitation intervention for 3 months.The resting state EEG signals of ASD children were collected before and after treatment, and the symptom of ASD children were evaluated by Chinese version of Autism Treatment Evaluation Checklist (ATEC).Meanwhile, 30 normal children with similar age (normal children group) were selected to collect resting state EEG signals.The relative power changes of four frequency bands[delta (δ,1 - 4Hz), theta (θ,4 - 8Hz), alpha (α,8 - 13Hz) and beta (β,13 - 35Hz)]in each brain region were analyzed by EEG power spectrum analysis. Results ASD children had greater relative power in all five brain regions in the δ band than normal children before treatment (t=3.909, 2.941, 0.098, 0.097, 0.108), while the α band was significantly smaller than normal children (t=-3.919,-4.076,-4.924,-4.351,-4.453), and the differences were significant (P<0.05).For ASD children, the differences in both δ and α bands were statistically significant before and after intervention (P<0.05).For the θ and β bands, there was no statistically significant difference in the relative power in the five brain regions between ASD children before and after treatment compared to the normal group (P>0.05).The differences in the subscale scores and total scores on the ATEC scale for ASD children before and after treatment were statistically different (P<0.05). Conclusion The relative power changes of δ and α bands in five brain regions of ASD children are specific, which can provide a certain reference for the early diagnosis of ASD, and can be used as an objective evaluation indicator for the efficacy evaluation of rehabilitation intervention.

Key words: autism spectrum disorder, electroencephalogram spectrum, relative power

摘要： 目的利用脑电频谱分析技术分析不同频段脑电信号特征在孤独症谱系障碍(ASD)儿童早期诊断及康复干预评价中的应用价值。方法选取2021年1-12月在佛山复星禅城医院儿童康复科新诊的2～4岁符合纳入诊断标准的ASD儿童35例(ASD组),采用综合康复的方式进行干预治疗3个月,治疗前、后采集ASD儿童静息态脑电信号,并采用中文版孤独症治疗评定量表(ATEC)进行评定,同时选取年龄相仿的正常儿童30例(正常儿童组)采集静息态脑电信号。将所有脑电信号采用功率谱分析的方法分析4种频段[delta(δ,1~4Hz)、theta(θ,4~8Hz)、alpha(α,8~13Hz)、beta(β,13~35Hz)]在各脑区相对功率的变化情况。结果 ASD儿童在治疗前,δ频段在5个脑区的相对功率均大于正常儿童(t=3.909、2.941、0.098、0.097、 0.108),而α频段则小于正常儿童(t=-3.919、-4.076、-4.924、-4.351、-4.453),差异有统计学意义(P<0.05)。ASD组δ及α频段治疗前后差异均有统计学意义(P<0.05)。对于θ及β频段,ASD儿童治疗前后5个脑区的相对功率与正常儿童组差异均无统计学意义(P > 0.05)。ASD儿童治疗前后ATEC量表各子项评分及总分治疗前后差异均有统计学意义(P<0.05)。结论 ASD儿童在各脑区的δ及α频段相对功率值具有特异性,可为ASD儿童的早期诊断提供一定的参考依据,并可作为康复干预疗效评估的一个客观评价指标。

关键词: 孤独症谱系障碍, 脑电频谱, 相对功率

CLC Number:

R749.94

YI Aiwen, XIN Jing, BAI Yan, XU Jiaxin, LIANG Fujian, FENG Xiaojian. Application of electroencephalogram spectrum analysis in early diagnosis and rehabilitation intervention evaluation of children with autism spectrum disorder[J]. Chinese Journal of Child Health Care, 2023, 31(3): 311-315.

易爱文, 辛晶, 白艳, 许嘉欣, 梁福鑑, 冯小键. 脑电频谱特征分析在孤独症谱系障碍儿童早期诊断及康复干预评价中的应用[J]. 中国儿童保健杂志, 2023, 31(3): 311-315.

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