Disrupted signal variability of spontaneous neural activity in children with attention-deficit/hyperactivity disorder
Disrupted signal variability of spontaneous neural activity in children with attention-deficit/hyperactivity disorder
复制标题
注意力缺陷/多动症儿童自发神经活动的信号变异性被破坏
DOI：
10.1364/boe.418921
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发表时间：
2021-05-01
影响因子：
3.4
通讯作者：
Niu, HaiJing
中科院分区：
文献类型：
--
作者：
Hu, Zhenyan;Liu, Lu;Niu, HaiJing
脑信号变异性(BSV)被证明是表征人类大脑发育和神经精神障碍的有力指标。多尺度熵(MSE)是一种新的量化脑信号变异的方法，有助于阐明注意缺陷多动障碍(ADHD)儿童复杂的动态病理机制。本研究采集了42例ADHD儿童和41例健康对照的多道静息功能近红外光谱(FNIRS)成像数据，然后根据MSE分析计算每个参与者的BSV。与HCS组相比，ADHD组在高阶和初级脑功能网络，如默认模式、额顶叶、注意和视觉网络的BSV均降低。有趣的是，BSV像差与额顶网络中的ADHD症状呈负相关，与额顶网络、默认模式、躯体运动和注意网络中的反应时变异性呈负相关。这项研究证明了ADHD儿童自发大脑信号的时刻到时刻的变异性，并强调了将MSE度量作为疾病生物标志物的潜力。(C)2021年美国光学学会根据OSA开放获取出版协议的条款
Brain signal variability (BSV) has shown to be powerful in characterizing human brain development and neuropsychiatric disorders. Multiscale entropy (MSE) is a novel method for quantifying the variability of brain signal, and helps elucidate complex dynamic pathological mechanisms in children with attention-deficit/hyperactivity disorder (ADHD). Here, multiple -channel resting-state functional near-infrared spectroscopy (fNIRS) imaging data were acquired from 42 children with ADHD and 41 healthy controls (HCs) and then BSV was calculated for each participant based on the MSE analysis. Compared with HCs, ADHD group exhibited reduced BSV in both high-order and primary brain functional networks, e.g., the default mode, frontoparietal, attention and visual networks. Intriguingly, the BSV aberrations negatively correlated with ADHD symptoms in the frontoparietal network and negatively correlated with reaction time variability in the frontoparietal, default mode, somatomotor and attention networks. This study demonstrates a wide alternation in the moment-to-moment variability of spontaneous brain signal in children with ADHD, and highlights the potential for using MSE metric as a disease biomarker.(c) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement