NEURAL DYNAMICS UNDERLYING VARYING ATTENTIONAL CONTROL FACING INVARIANT COGNITIVE TASK UPON INVARIANT STIMULI
NEURAL DYNAMICS UNDERLYING VARYING ATTENTIONAL CONTROL FACING INVARIANT COGNITIVE TASK UPON INVARIANT STIMULI
复制标题
面对不变刺激下的不变认知任务的不同注意控制的神经动力学
DOI：
10.1016/j.neuroscience.2017.04.023
复制
发表时间：
2017-06-14
期刊：
影响因子：
3.3
通讯作者：
Chen, Qi
中科院分区：
文献类型：
--
作者：
Jiang, Yizhou;Xia, Jing;Chen, Qi
即使在不变的物理刺激上重复执行不变的行为任务时，我们的行为表现也总是变化的，表现在不同的反应时间（RTs）上，这与注意控制的波动有关，从而与人类大脑的潜在自组织状态有关。在本fMRI研究的视觉空间任务中，物理刺激在六个水平的空间范围内不同，但在每个水平内保持不变。空间面积较大的反应时间越慢，对视觉空间注意的要求越高。然而，每个水平内的较慢的RT暗示更差的注意控制，因为任务和物理刺激在每个水平内保持不变。成像结果显示，在六个级别中的每一个级别中，较慢的RT与额顶网络中较高但较晚的激活以及默认模式网络（DMN）中较高但较晚的失活相关。因此，这些研究结果首次表明，水平内方差的注意控制对应于动态变化的额顶网络和DMN，不仅在高度，但也潜伏期的神经活动。此外，尽管这两个网络在神经活动的高度方面是反相关的，但它们在时间动态方面是紧密耦合的。根据目前的结果，我们对人脑额顶叶注意力控制系统的最佳工作模式提出了一个初步假设：只要相对较早地开始，即使额顶叶网络中较低的神经活动高度也可以显着改善行为表现。(C)2017年IBRO。由爱思唯尔有限公司发布。保留所有权利。
Even when performing invariant behavioral task repeatedly on invariant physical stimuli, our behavioral performance always changes as manifested in varying response times (RTs), which is associated with fluctuations in attentional control and thus the underlying self organization states of the human brain. In a visuospatial task of the present fMRI study, physical stimuli differed across six levels of spatial scope, but were kept invariant within each level. The slower RTs with larger spatial area attended suggested higher demands on visuospatial attention. The slower RTs within each level, however, implicated worse attentional control since both the task and the physical stimuli were kept invariant within each level. The imaging results showed that slower RTs within each of the six levels were associated with higher but later activations in the frontoparietal network, and higher but later deactivations in the default-mode network (DMN). These findings thus for the first time suggested that the within-level variance of attentional control corresponded to dynamic changes in the frontoparietal network and the DMN, in terms of not only the height but also the latency of neural activity. Moreover, although the two networks are anti-correlated in terms of the height of neural activity, they are tightly coupled in terms of the temporal dynamics. Based on the current results, we proposed a tentative hypothesis on the optimal working mode of the frontoparietal attentional control system in the human brain: even a lower height of neural activity in frontoparietal network can significantly improve behavioral performance as long as it starts relatively early. (C) 2017 IBRO. Published by Elsevier Ltd. All rights reserved.