Yan Jing, Guo Xiaoli, Sun Junfeng, Tong Shanbao
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1415-8. doi: 10.1109/IEMBS.2011.6090333.
Partial directed coherence (PDC) as a frequency-domain representation of Granger casuality (GC) could detect both strength and direction of cortical interactions by multivariate autoregressive (MVAR) model of electroencephalography (EEG). In the present study, we investigate the underlying neural networks mechanisms of "rotational uncertainty effect" during mental rotation (MR) task by PDC analysis of multichannel EEG signals before and after the visual stimuli presented, we found that (i) temporally the "rotational uncertainty effect" involved an activated network before the visual stimuli presented, which could also affect the cognitive process of MR later; (ii) the causality functional connectivity network indicated that the bi-directional frontal [symbol see text] parietal networks played critical roles in maintaining the readiness during the MR task. These findings suggest that functional networks of un-cued preparation before visual stimuli presented are worth to be paid more attention. And these networks provide crucial casuality information to understand the neural mechanism for "rotational uncertainty effect" in MR task.
部分定向相干性(PDC)作为格兰杰因果关系(GC)的频域表示,可以通过脑电图(EEG)的多元自回归(MVAR)模型检测皮质相互作用的强度和方向。在本研究中,我们通过对视觉刺激呈现前后的多通道EEG信号进行PDC分析,研究心理旋转(MR)任务期间“旋转不确定性效应”的潜在神经网络机制,我们发现:(i)在时间上,“旋转不确定性效应”在视觉刺激呈现之前涉及一个激活的网络,这也可能影响随后MR的认知过程;(ii)因果功能连接网络表明,双向额叶[符号见原文]顶叶网络在MR任务期间维持准备状态中起关键作用。这些发现表明,视觉刺激呈现之前的无提示准备功能网络值得更多关注。并且这些网络提供了关键的因果信息,以理解MR任务中“旋转不确定性效应”的神经机制。