移动点知觉决策过程中大脑默认模式、突显网络和中央执行网络之间的相互作用
Interactions Among the Brain Default-Mode, Salience, and Central-Executive Networks During Perceptual Decision-Making of Moving Dots.
作者信息
Chand Ganesh B, Dhamala Mukesh
机构信息
1 Department of Physics and Astronomy, Georgia State University , Atlanta, Georgia .
2 Neuroscience Institute, Georgia State University , Atlanta, Georgia .
出版信息
Brain Connect. 2016 Apr;6(3):249-54. doi: 10.1089/brain.2015.0379. Epub 2016 Jan 27.
Cognitively demanding goal-directed tasks in the human brain are thought to involve the dynamic interplay of several large-scale neural networks, including the default-mode network (DMN), salience network (SN), and central-executive network (CEN). Resting-state functional magnetic resonance imaging (rsfMRI) studies have consistently shown that the CEN and SN negatively regulate activity in the DMN, and this switching is argued to be controlled by the right anterior insula (rAI) of the SN. However, what remains to be investigated is the pattern of directed network interactions during difficult perceptual decision-making tasks. We recorded fMRI data while participants categorized the left-right motion of moving dots. We defined regions of interest, extracted fMRI time series, and performed directed connectivity analysis using Granger causality techniques. Our analyses demonstrated that the slow oscillation (0.07-0.19 Hz) mediated the interactions within and between the DMN, SN, and CEN nodes both for easier and harder decision-making tasks. We found that the rAI, a key node of the SN, played a causal control over the DMN and CEN for easier decision-making tasks. The combined effort of the rAI and dorsal anterior cingulate cortex of the SN had the causal control over the DMN and CEN for a harder task. These findings provide important insights into how a sensory signal organizes among the DMN, SN, and CEN during sensory information-guided, goal-directed tasks.
人类大脑中需要认知的目标导向任务被认为涉及多个大规模神经网络的动态相互作用,包括默认模式网络(DMN)、突显网络(SN)和中央执行网络(CEN)。静息态功能磁共振成像(rsfMRI)研究一致表明,CEN和SN对DMN的活动具有负向调节作用,并且这种切换被认为是由SN的右侧前脑岛(rAI)控制的。然而,在困难的感知决策任务中,定向网络相互作用的模式仍有待研究。我们在参与者对移动点的左右运动进行分类时记录了功能磁共振成像数据。我们定义了感兴趣区域,提取了功能磁共振成像时间序列,并使用格兰杰因果关系技术进行了定向连接性分析。我们的分析表明,无论是较简单还是较困难的决策任务,慢振荡(0.07 - 0.19赫兹)都介导了DMN、SN和CEN节点内部以及它们之间的相互作用。我们发现,对于较简单的决策任务,SN的关键节点rAI对DMN和CEN具有因果控制作用。对于较困难的任务,SN的rAI和背侧前扣带回皮质共同对DMN和CEN具有因果控制作用。这些发现为感觉信号在感觉信息引导的目标导向任务中如何在DMN、SN和CEN之间组织提供了重要见解。