Premium
Different interaction modes for the default mode network revealed by resting state functional magnetic resonance imaging
Author(s) -
Zuo Nianming,
Song Ming,
Fan Lingzhong,
Eickhoff Simon B.,
Jiang Tianzi
Publication year - 2016
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.13112
Subject(s) - default mode network , neuroscience , functional magnetic resonance imaging , resting state fmri , nonlinear system , task positive network , human connectome project , psychology , task (project management) , computer science , sensory system , pattern recognition (psychology) , functional connectivity , cognitive psychology , physics , engineering , systems engineering , quantum mechanics
The default mode network ( DMN ), which, in the resting state, is in charge of both the brain's intrinsic mentation and its reflexive responses to external stimuli, is recognized as an essential network in the human brain. These two roles of mentation and reflexive response recruit the DMN nodes and other task networks differently. Existing research has revealed that the interactions inside the DMN (between nodes within the DMN ) and outside the DMN (between nodes in the DMN and nodes in task networks) have different modes, in terms of both strength and timing. These findings raise interesting questions. For example, are the internal and external interactions of the DMN equally linear or nonlinear? This study examined these interaction patterns using datasets from the Human Connectome Project. A maximal information‐based nonparametric exploration statistics strategy was utilized to characterize the full correlations, and the Pearson correlation was used to capture the linear component of the full correlations. We then contrasted the level of linearity/nonlinearity with respect to the internal and external interactions of the DMN . After a brain‐wide exploration, we found that the interactions between the DMN and the sensorimotor‐related networks (including the sensorimotor, sensory association, and integration areas) showed more nonlinearity, whereas those between the intra‐ DMN nodes were similarly less nonlinear. These findings may provide a clue for understanding the underlying neuronal principles of the internal and external roles of the DMN .