Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase Synchronization

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Auditory Cortex / physiology
  • Brain / physiology*
  • Cluster Analysis
  • Connectome / methods*
  • Female
  • Humans
  • Male
  • Ocular Physiological Phenomena
  • Sensorimotor Cortex / physiology
  • Visual Perception / physiology*
  • Young Adult

Grants and funding

XHW is supported by 973 Program (2013CB329502). LL is supported by the grants from 973 Program (2013CB329502), National Natural Science Foundation of China (61271063), National Distinguished Young Research Scientist Award (60788101), Zhejiang Provincial Natural Science Foundation of China (LZ15F010001). TX is supported by National Natural Science Foundation of China (61402142). ZD is supported by The Science Foundation from Health Commission of Zhejiang Province (2013RCA001). Financial support for the data used in this project was provided by a grant from the National Natural Science Foundation of China: 30770594 and a grant from the National High Technology Program of China (863): 2008AA02Z405.