Wang Xun-Heng, Li Lihua, Xu Tao, Ding Zhongxiang
College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China.
Department of Radiology, Zhejiang Provincial People's Hospital, Hangzhou,310014, China.
PLoS One. 2015 Oct 15;10(10):e0140300. doi: 10.1371/journal.pone.0140300. eCollection 2015.
The brain active patterns were organized differently under resting states of eyes open (EO) and eyes closed (EC). The altered voxel-wise and regional-wise resting state active patterns under EO/EC were found by static analysis. More importantly, dynamical spontaneous functional connectivity has been observed in the resting brain. To the best of our knowledge, the dynamical mechanisms of intrinsic connectivity networks (ICNs) under EO/EC remain largely unexplored. The goals of this paper were twofold: 1) investigating the dynamical intra-ICN and inter-ICN temporal patterns during resting state; 2) analyzing the altered dynamical temporal patterns of ICNs under EO/EC. To this end, a cohort of healthy subjects with scan conditions of EO/EC were recruited from 1000 Functional Connectomes Project. Through Hilbert transform, time-varying phase synchronization (PS) was applied to evaluate the inter-ICN synchrony. Meanwhile, time-varying amplitude was analyzed as dynamical intra-ICN temporal patterns. The results found six micro-states of inter-ICN synchrony. The medial visual network (MVN) showed decreased intra-ICN amplitude during EC relative to EO. The sensory-motor network (SMN) and auditory network (AN) exhibited enhanced intra-ICN amplitude during EC relative to EO. Altered inter-ICN PS was found between certain ICNs. Particularly, the SMN and AN exhibited enhanced PS to other ICNs during EC relative to EO. In addition, the intra-ICN amplitude might influence the inter-ICN synchrony. Moreover, default mode network (DMN) might play an important role in information processing during EO/EC. Together, the dynamical temporal patterns within and between ICNs were altered during different scan conditions of EO/EC. Overall, the dynamical intra-ICN and inter-ICN temporal patterns could benefit resting state fMRI-related research, and could be potential biomarkers for human functional connectome.
在睁眼（EO）和闭眼（EC）的静息状态下，大脑的活动模式组织方式不同。通过静态分析发现了在EO/EC状态下基于体素和区域的静息状态活动模式的改变。更重要的是，在静息大脑中观察到了动态自发功能连接。据我们所知，EO/EC状态下内在连接网络（ICN）的动态机制在很大程度上仍未被探索。本文的目标有两个：1）研究静息状态下ICN内部和ICN之间的动态时间模式；2）分析EO/EC状态下ICN动态时间模式的改变。为此，从1000个功能连接组项目中招募了一组具有EO/EC扫描条件的健康受试者。通过希尔伯特变换，应用时变相位同步（PS）来评估ICN之间的同步性。同时，将时变幅度作为ICN内部的动态时间模式进行分析。结果发现了ICN之间同步的六种微状态。内侧视觉网络（MVN）在EC期间相对于EO表现出ICN内部幅度降低。感觉运动网络（SMN）和听觉网络（AN）在EC期间相对于EO表现出ICN内部幅度增强。在某些ICN之间发现了ICN之间PS的改变。特别是，SMN和AN在EC期间相对于EO表现出与其他ICN的PS增强。此外，ICN内部幅度可能会影响ICN之间的同步性。而且，默认模式网络（DMN）可能在EO/EC期间的信息处理中起重要作用。总之，在EO/EC的不同扫描条件下，ICN内部和ICN之间的动态时间模式发生了改变。总体而言，ICN内部和ICN之间的动态时间模式可能有益于静息态功能磁共振成像相关研究，并且可能成为人类功能连接组的潜在生物标志物。
