Literature DB >> 26496204

Different interaction modes for the default mode network revealed by resting state functional magnetic resonance imaging.

Nianming Zuo1,2, Ming Song1,2, Lingzhong Fan1,2, Simon B Eickhoff3,4, Tianzi Jiang1,2,5,6.   

Abstract

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.
© 2015 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  default mode network; functional magnetic resonance imaging; human; linear; nonlinear

Mesh:

Year:  2015        PMID: 26496204     DOI: 10.1111/ejn.13112

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  7 in total

1.  Activation-based association profiles differentiate network roles across cognitive loads.

Authors:  Nianming Zuo; Alireza Salami; Yihong Yang; Zhengyi Yang; Jing Sui; Tianzi Jiang
Journal:  Hum Brain Mapp       Date:  2019-03-10       Impact factor: 5.038

2.  Core networks and their reconfiguration patterns across cognitive loads.

Authors:  Nianming Zuo; Zhengyi Yang; Yong Liu; Jin Li; Tianzi Jiang
Journal:  Hum Brain Mapp       Date:  2018-04-20       Impact factor: 5.038

Review 3.  Employing pain and mindfulness to understand consciousness: a symbiotic relationship.

Authors:  Joshua A Grant; Fadel Zeidan
Journal:  Curr Opin Psychol       Date:  2019-01-09

4.  Both activated and less-activated regions identified by functional MRI reconfigure to support task executions.

Authors:  Nianming Zuo; Zhengyi Yang; Yong Liu; Jin Li; Tianzi Jiang
Journal:  Brain Behav       Date:  2017-12-20       Impact factor: 2.708

5.  Enhanced Network Efficiency of Functional Brain Networks in Primary Insomnia Patients.

Authors:  Xiaofen Ma; Guihua Jiang; Shishun Fu; Jin Fang; Yunfan Wu; Mengchen Liu; Guang Xu; Tianyue Wang
Journal:  Front Psychiatry       Date:  2018-02-21       Impact factor: 4.157

6.  Abnormal Topology of the Structural Connectome in the Limbic Cortico-Basal-Ganglia Circuit and Default-Mode Network Among Primary Insomnia Patients.

Authors:  Yunfan Wu; Mengchen Liu; Shaoqing Zeng; Xiaofen Ma; Jianhao Yan; Chulan Lin; Guang Xu; Guomin Li; Yi Yin; Shishun Fu; Kelei Hua; Chao Li; Tianyue Wang; Cheng Li; Guihua Jiang
Journal:  Front Neurosci       Date:  2018-11-23       Impact factor: 4.677

7.  Altered dynamic effective connectivity of the default mode network in newly diagnosed drug-naïve juvenile myoclonic epilepsy.

Authors:  Zhe Zhang; Guangyao Liu; Weihao Zheng; Jie Shi; Hong Liu; Yu Sun
Journal:  Neuroimage Clin       Date:  2020-09-11       Impact factor: 4.881

  7 in total

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