Complexity analysis of fNIRS signals in ADHD children during working memory task

Abstract Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children. Neuroimaging studies have revealed abnormalities of neural activities in some brain regions, including the frontal cortex, striatum, cerebellum, and occipital cortex. Recently, some inves...

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Autores principales:	Yue Gu, Shuo Miao, Junxia Han, Ke Zeng, Gaoxiang Ouyang, Jian Yang, Xiaoli Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/981058515deb4ee7a0929355c241e881
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spelling	oai:doaj.org-article:981058515deb4ee7a0929355c241e8812021-12-02T12:32:39ZComplexity analysis of fNIRS signals in ADHD children during working memory task10.1038/s41598-017-00965-42045-2322https://doaj.org/article/981058515deb4ee7a0929355c241e8812017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00965-4https://doaj.org/toc/2045-2322Abstract Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children. Neuroimaging studies have revealed abnormalities of neural activities in some brain regions, including the frontal cortex, striatum, cerebellum, and occipital cortex. Recently, some investigators have demonstrated that nonlinear complexity analysis of neural activity may provide a new index to indicate ADHD. In the present study, we used the permutation entropy (PE) to measure the complexity of functional near-infrared spectroscopy (fNIRS) signals in children with and without ADHD during a working memory task, it was aimed to investigate the relationship between the PE values and the cortical activations, and the different PE values between the children with and without ADHD. We found that PE values exhibited significantly negative correlation with the cortical activations (r = −0.515, p = 0.003), and the PE values of right dorsolateral prefrontal cortex in ADHD children were significantly larger than those in normal controls (p = 0.027). In addition, the PE values of right dorsolateral prefrontal cortex were positively correlated to the ADHD index (r = 0.448, p = 0.012). These results suggest that complexity analysis of fNIRS signals could be a promising tool in diagnosing children with ADHD.Yue GuShuo MiaoJunxia HanKe ZengGaoxiang OuyangJian YangXiaoli LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yue Gu Shuo Miao Junxia Han Ke Zeng Gaoxiang Ouyang Jian Yang Xiaoli Li Complexity analysis of fNIRS signals in ADHD children during working memory task
description	Abstract Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children. Neuroimaging studies have revealed abnormalities of neural activities in some brain regions, including the frontal cortex, striatum, cerebellum, and occipital cortex. Recently, some investigators have demonstrated that nonlinear complexity analysis of neural activity may provide a new index to indicate ADHD. In the present study, we used the permutation entropy (PE) to measure the complexity of functional near-infrared spectroscopy (fNIRS) signals in children with and without ADHD during a working memory task, it was aimed to investigate the relationship between the PE values and the cortical activations, and the different PE values between the children with and without ADHD. We found that PE values exhibited significantly negative correlation with the cortical activations (r = −0.515, p = 0.003), and the PE values of right dorsolateral prefrontal cortex in ADHD children were significantly larger than those in normal controls (p = 0.027). In addition, the PE values of right dorsolateral prefrontal cortex were positively correlated to the ADHD index (r = 0.448, p = 0.012). These results suggest that complexity analysis of fNIRS signals could be a promising tool in diagnosing children with ADHD.
format	article
author	Yue Gu Shuo Miao Junxia Han Ke Zeng Gaoxiang Ouyang Jian Yang Xiaoli Li
author_facet	Yue Gu Shuo Miao Junxia Han Ke Zeng Gaoxiang Ouyang Jian Yang Xiaoli Li
author_sort	Yue Gu
title	Complexity analysis of fNIRS signals in ADHD children during working memory task
title_short	Complexity analysis of fNIRS signals in ADHD children during working memory task
title_full	Complexity analysis of fNIRS signals in ADHD children during working memory task
title_fullStr	Complexity analysis of fNIRS signals in ADHD children during working memory task
title_full_unstemmed	Complexity analysis of fNIRS signals in ADHD children during working memory task
title_sort	complexity analysis of fnirs signals in adhd children during working memory task
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/981058515deb4ee7a0929355c241e881
work_keys_str_mv	AT yuegu complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT shuomiao complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT junxiahan complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT kezeng complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT gaoxiangouyang complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT jianyang complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask AT xiaolili complexityanalysisoffnirssignalsinadhdchildrenduringworkingmemorytask
_version_	1718393993719447552

Complexity analysis of fNIRS signals in ADHD children during working memory task

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