Ansari Nasab Sheida, Panahi Shirin, Ghassemi Farnaz, Jafari Sajad, Rajagopal Karthikeyan, Ghosh Dibakar, Perc Matjaž
Department of Biomedical Engineering, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran, 159163-4311 Iran.
Health Technology Research Institute, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, Tehran, 159163-4311 Iran.
Cogn Neurodyn. 2022 Feb;16(1):91-100. doi: 10.1007/s11571-021-09699-6. Epub 2021 Jul 19.
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder that, in addition to inattention, excessive activity, or impulsivity, makes it difficult for children to process facial emotions and thus to interact with their peers. Here we analyze neuronal networks of children with this disorder by means of the phase-locking value (PLV) method. In particular, we determine the level of phase synchronization between 62 EEG channels of 22 healthy boys and 22 boys with ADHD, recorder whilst observing facial emotions of anger, happiness, neutrality, and sadness. We construct neuronal networks based on the gamma sub-band, which according to previous studies, shows the highest response to emotional stimuli. We find that the functional connectivity of the frontal and occipital lobes in the ADHD group is significantly (-value < 0.01) higher than in the healthy group. More functional connectivity in these lobes shows more phase synchronization between the neurons of these brain regions, representing some problems in the brain emotional processing center in the ADHD group. The shortest path lengths in these lobes are also significantly (-value < 0.01) higher in the ADHD group than in the healthy group. This result indicates less efficiency of information transmission and segregation in occipital and frontal lobes of ADHD neuronal networks, responsible for visual and emotional processing in the brain, respectively. We hope that our approach will help obtain further insights into ADHD with methods of network science.
注意缺陷多动障碍(ADHD)是一种常见的神经发育障碍,除注意力不集中、活动过度或冲动外,还会使儿童难以处理面部情绪,进而难以与同龄人互动。在此,我们通过锁相值(PLV)方法分析患有这种障碍的儿童的神经元网络。具体而言,我们确定了22名健康男孩和22名患有ADHD的男孩在观察愤怒、快乐、中性和悲伤面部情绪时记录的62个脑电图通道之间的相位同步水平。我们基于伽马子带构建神经元网络,根据先前的研究,该子带对情绪刺激的反应最为强烈。我们发现,ADHD组中额叶和枕叶的功能连接性显著(p值<0.01)高于健康组。这些脑叶中更多的功能连接性表明这些脑区的神经元之间有更多的相位同步,这代表了ADHD组大脑情绪处理中心存在一些问题。ADHD组中这些脑叶的最短路径长度也显著(p值<0.01)高于健康组。这一结果表明,ADHD神经元网络的枕叶和额叶在信息传递和分离方面效率较低,它们分别负责大脑中的视觉和情绪处理。我们希望我们的方法将有助于通过网络科学方法进一步深入了解ADHD。