Department of Psychology, National Cheng Kung University, Tainan, Taiwan.
Department of Psychology, Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands.
PLoS One. 2020 Dec 3;15(12):e0242985. doi: 10.1371/journal.pone.0242985. eCollection 2020.
The ability to inhibit motor response is crucial for daily activities. However, whether brain networks connecting spatially distinct brain regions can explain individual differences in motor inhibition is not known. Therefore, we took a graph-theoretic perspective to examine the relationship between the properties of topological organization in functional brain networks and motor inhibition. We analyzed data from 141 healthy adults aged 20 to 78, who underwent resting-state functional magnetic resonance imaging and performed a stop-signal task along with neuropsychological assessments outside the scanner. The graph-theoretic properties of 17 functional brain networks were estimated, including within-network connectivity and between-network connectivity. We employed multiple linear regression to examine how these graph-theoretical properties were associated with motor inhibition. The results showed that between-network connectivity of the salient ventral attention network and dorsal attention network explained the highest and second highest variance of individual differences in motor inhibition. In addition, we also found those two networks span over brain regions in the frontal-cingulate-parietal network, suggesting that these network interactions are also important to motor inhibition.
抑制运动反应的能力对于日常活动至关重要。然而,连接空间上不同脑区的脑网络是否能够解释运动抑制的个体差异尚不清楚。因此,我们从图论的角度研究了功能脑网络拓扑组织的性质与运动抑制之间的关系。我们分析了 141 名年龄在 20 岁至 78 岁之间的健康成年人的数据,这些人在进行静息态功能磁共振成像的同时,还在扫描仪外完成了停止信号任务和神经心理学评估。我们估计了 17 个功能脑网络的图论性质,包括网络内连接和网络间连接。我们采用多元线性回归来检验这些图论性质与运动抑制之间的关联。结果表明,显著的腹侧注意网络和背侧注意网络之间的网络间连接解释了运动抑制个体差异的最高和第二高的方差。此外,我们还发现这两个网络跨越了额顶网络中的脑区,这表明这些网络相互作用对于运动抑制也很重要。