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Interaction of multiple networks modulated by the working memory training based on real-time fMRI

机译:基于实时FMRI的工作存储器训练调制的多个网络的交互

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Neuroimaging studies of working memory training have identified the alteration of brain activity as well as the regional interactions within the functional networks such as central executive network (CEN) and default mode network (DMN). However, how the interaction within and between these multiple networks is modulated by the training remains unclear, In this paper, we examined the interaction of three training-induced brain networks during working memory training based on real-time functional magnetic resonance imaging (rtfMRI). Thirty subjects assigned to the experimental and control group respectively participated in two times training separated by seven days. Three networks including silence network (SN), CEN and DMN were identified by the training data with the calculated function connections within each network. Structural equation modeling (SEM) approach was used to construct the directional connectivity patterns. The results showed that the causal influences from the percent signal changes of target ROI to the SN were positively changed in both two groups, as well as the causal influence from the SN to CEN was positively changed in experimental group but negatively changed in control group from the SN to DMN. Further correlation analysis of the changes in each network with the behavioral improvements showed that the changes in SN were stronger positively correlated with the behavioral improvement of letter memory task. These findings indicated that the SN was not only a switch between the target ROI and the other networks in the feedback training but also an essential factor to the behavioral improvement.
机译:工作记忆训练的神经影像学研究已经确定了脑活动的改变以及中央执行网络(CEN)和默认模式网络(DMN)等功能网络内的区域交互。然而,在训练中,这些多个网络之间的交互和之间的交互如何尚不清楚,在本文中,我们在基于实时功能磁共振成像(RTFMRI)的工作记忆训练期间检查了三次训练诱导的脑网络的相互作用。分配给实验和对照组的30个科目分别参加了七天分隔的两次训练。通过每个网络内的计算出的函数连接,通过训练数据识别包括静音网络(SN),CEN和DMN的三个网络。结构方程建模(SEM)方法用于构建方向连接模式。结果表明,两组靶投资回报率的信号变化百分比对Sn的因果影响呈正变化,并且在实验组中对Sn至CEN的因果影响呈正变化,但对照组中的对照组负面变化sn到dmn。对具有行为改进的每个网络变化的进一步相关分析表明,与字母记忆任务的行为改进,SN的变化呈正相关。这些发现表明,SN不仅是目标ROI与反馈培训中的其他网络之间的开关,而且对行为改善的必要因素。

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