Quantitative EEG analysis in children with tic disorders

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 EE...

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Main Authors: Si⁃yuan MA, Xing FAN, Hui QIAO
Format: Article
Language:English
Published: Tianjin Huanhu Hospital 2020-11-01
Series:Chinese Journal of Contemporary Neurology and Neurosurgery
Subjects:
Online Access:http://www.cjcnn.org/index.php/cjcnn/article/view/2238
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author Si⁃yuan MA
Xing FAN
Hui QIAO
author_facet Si⁃yuan MA
Xing FAN
Hui QIAO
author_sort Si⁃yuan MA
collection DOAJ
description 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. DOI:10.3969/j.issn.1672⁃6731.2020.11.009
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spelling doaj.art-442ee72aa95b4d409ad458a23f006e342022-12-21T23:06:23ZengTianjin Huanhu HospitalChinese Journal of Contemporary Neurology and Neurosurgery1672-67312020-11-0120119829862193Quantitative EEG analysis in children with tic disordersSi⁃yuan MAXing FANHui QIAOObjective 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. DOI:10.3969/j.issn.1672⁃6731.2020.11.009http://www.cjcnn.org/index.php/cjcnn/article/view/2238tourette syndromeelectroencephalographychild
spellingShingle Si⁃yuan MA
Xing FAN
Hui QIAO
Quantitative EEG analysis in children with tic disorders
Chinese Journal of Contemporary Neurology and Neurosurgery
tourette syndrome
electroencephalography
child
title Quantitative EEG analysis in children with tic disorders
title_full Quantitative EEG analysis in children with tic disorders
title_fullStr Quantitative EEG analysis in children with tic disorders
title_full_unstemmed Quantitative EEG analysis in children with tic disorders
title_short Quantitative EEG analysis in children with tic disorders
title_sort quantitative eeg analysis in children with tic disorders
topic tourette syndrome
electroencephalography
child
url http://www.cjcnn.org/index.php/cjcnn/article/view/2238
work_keys_str_mv AT siyuanma quantitativeeeganalysisinchildrenwithticdisorders
AT xingfan quantitativeeeganalysisinchildrenwithticdisorders
AT huiqiao quantitativeeeganalysisinchildrenwithticdisorders