首页> 外文期刊>Translational psychiatry. >Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder
【24h】

Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder

机译:基于脑计算机接口的干预使患有注意力缺陷/多动障碍的儿童的脑功能网络拓扑结构正常化

获取原文
           

摘要

A brain-computer-interface (BCI)-based attention training game system has shown promise for treating attention deficit/hyperactivity disorder (ADHD) children with inattentive symptoms. However, little is known about brain network organizational changes underlying behavior improvement following BCI-based training. To cover this gap, we aimed to examine the topological alterations of large-scale brain functional networks induced by the 8-week BCI-based attention intervention in ADHD boys using resting-state functional magnetic resonance imaging method. Compared to the non-intervention (ADHD-NI) group, the intervention group (ADHD-I) showed greater reduction of inattention symptoms accompanied with differential brain network reorganizations after training. Specifically, the ADHD-NI group had increased functional connectivity (FC) within the salience/ventral attention network (SVN) and increased FC between task-positive networks (including the SVN, dorsal attention (DAN), somatomotor, and executive control network) and subcortical regions; in contrast ADHD-I group did not have this pattern. In parallel, ADHD-I group had reduced degree centrality and clustering coefficient as well as increased closeness in task-positive and the default mode networks (prefrontal regions) after the training. More importantly, these reduced local functional processing mainly in the SVN were associated with less inattentive/internalizing problems after 8-week BCI-based intervention across ADHD patients. Our findings suggest that the BCI-based attention training facilitates behavioral improvement in ADHD children by reorganizing brain functional network from more regular to more random configurations, particularly renormalizing salience network processing. Future long-term longitudinal neuroimaging studies are needed to develop the BCI-based intervention approach to promote brain maturation in ADHD.
机译:基于脑计算机接口(BCI)的注意力训练游戏系统已显示出有望治疗患有注意力不集中症状的注意力不足/多动症(ADHD)儿童的希望。然而,关于基于BCI的训练后行为改善的大脑网络组织变化知之甚少。为了弥补这一空白,我们旨在研究静止状态功能磁共振成像方法对ADHD男孩进行基于BCI的8周注意力干预所引起的大规模脑功能网络的拓扑变化。与非干预组(ADHD-NI)相比,干预组(ADHD-1)在训练后表现出更大的缓解注意力不集中症状并伴有不同的脑网络重组的情况。具体来说,ADHD-NI组在显着性/腹侧注意网络(SVN)内增加了功能连接(FC),并在任务阳性网络(包括SVN,背侧注意(DAN),躯体运动和执行控制网络)之间增加了FC。和皮层下区域;相比之下,ADHD-1组没有这种模式。同时,ADHD-I训练后降低了中心度和聚类系数,并增强了任务阳性和默认模式网络(前额叶区域)的亲密性。更重要的是,这些减少的局部功能处理主要是在SVN中,在对ADHD患者进行了基于BCI的8周干预后,注意力/内在化问题较少。我们的研究结果表明,基于BCI的注意力训练可通过将大脑功能网络从更规则的配置重组为更随机的配置,尤其是使显着网络处理正常化,来促进ADHD儿童的行为改善。需要未来的长期纵向神经影像学研究来开发基于BCI的干预方法,以促进ADHD的大脑成熟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号