Center for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
NYU Child Study Center, NYU Langone Medical Center, New York City, NY, USA.
Transl Psychiatry. 2018 Aug 10;8(1):149. doi: 10.1038/s41398-018-0213-8.
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.
基于脑-机接口(BCI)的注意力训练游戏系统已显示出治疗注意力缺陷/多动障碍(ADHD)儿童注意力不集中症状的潜力。然而,对于 BCI 训练后行为改善所涉及的大脑网络组织变化知之甚少。为了填补这一空白,我们旨在使用静息态功能磁共振成像方法,研究基于 BCI 的注意力干预 8 周后 ADHD 男孩大脑功能网络的拓扑变化。与非干预组(ADHD-NI)相比,干预组(ADHD-I)在训练后表现出注意力不集中症状的显著改善,且大脑网络出现了不同的重组。具体而言,ADHD-NI 组的前注意/腹侧注意网络(SVN)内的功能连接(FC)增加,且 SVN 与任务正激活网络(包括 SVN、背侧注意(DAN)、躯体运动和执行控制网络)和皮质下区域之间的 FC 增加;而 ADHD-I 组没有这种模式。同时,ADHD-I 组在训练后任务正激活和默认模式网络(前额叶区域)的度中心性、聚类系数降低,且紧密度增加。更重要的是,这些 SVN 中局部功能处理的减少与 ADHD 患者 8 周 BCI 干预后的注意力不集中/内化问题减少有关。我们的研究结果表明,基于 BCI 的注意力训练通过将大脑功能网络从更规则的模式重新组织为更随机的模式,促进 ADHD 儿童的行为改善,特别是重新规范了前注意网络的处理。需要进行未来的长期纵向神经影像学研究,以开发基于 BCI 的干预方法,促进 ADHD 患者大脑成熟。