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BioMed Research International
Volume 2015 (2015), Article ID 824710, 8 pages
Research Article

Exploring Dynamic Brain Functional Networks Using Continuous “State-Related” Functional MRI

Xun Li,1,2 Yu-Feng Zang,1,2 and Han Zhang1,2

1Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou 311121, China
2Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China

Received 21 August 2014; Revised 17 January 2015; Accepted 25 February 2015

Academic Editor: Zhengchao Dong

Copyright © 2015 Xun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We applied a “temporal decomposition” method, which decomposed a single brain functional network into several “modes”; each of them dominated a short temporal period, on a continuous, “state-” related, “finger-force feedback” functional magnetic resonance imaging experiment. With the hypothesis that attention and internal/external information processing interaction could be manipulated by different (real and sham) feedback conditions, we investigated functional network dynamics of the “default mode,” “executive control,” and sensorimotor networks. They were decomposed into several modes. During real feedback, the occurrence of “default mode-executive control competition-related” mode was higher than that during sham feedback (); the “default mode-visual facilitation-related” mode more frequently appeared during sham than real feedback (). However, the dynamics of the sensorimotor network did not change significantly between two conditions (). Our results indicated that the visual-guided motor feedback involves higher cognitive functional networks rather than primary motor network. The dynamics monitoring of inner and outside environment and multisensory integration could be the mechanisms. This study is an extension of our previous region-specific and static-styled study of our brain functional architecture.