The structural connectivity pattern of the default mode network and its association with memory and anxiety

Tao, Yan, Liu, Bing, Zhang, Xiaolong, Li, Jin, Qin, Wen, Yu, Chunshui and Jiang, Tianzi (2015) The structural connectivity pattern of the default mode network and its association with memory and anxiety. Frontiers in Neuroanatomy, 9 November: 1-10. doi:10.3389/fnana.2015.00152

Author Tao, Yan
Liu, Bing
Zhang, Xiaolong
Li, Jin
Qin, Wen
Yu, Chunshui
Jiang, Tianzi
Title The structural connectivity pattern of the default mode network and its association with memory and anxiety
Journal name Frontiers in Neuroanatomy   Check publisher's open access policy
ISSN 1662-5129
Publication date 2015-11-26
Year available 2015
Sub-type Article (original research)
DOI 10.3389/fnana.2015.00152
Open Access Status DOI
Volume 9
Issue November
Start page 1
End page 10
Total pages 10
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Language eng
Subject 2702 Anatomy
2801 Neuroscience (miscellaneous)
2804 Cellular and Molecular Neuroscience
Abstract The default mode network (DMN) is one of the most widely studied resting state functional networks. The structural basis for the DMN is of particular interest and has been studied by several researchers using diffusion tensor imaging (DTI). Most of these previous studies focused on a few regions or white matter tracts of the DMN so that the global structural connectivity pattern and network properties of the DMN remain unclear. Moreover, evidences indicate that the DMN is involved in both memory and emotion, but how the DMN regulates memory and anxiety from the perspective of the whole DMN structural network remains unknown. We used multimodal neuroimaging methods to investigate the structural connectivity pattern of the DMN and the association of its network properties with memory and anxiety in 205 young healthy subjects with age ranging from 18 to 29 years old. The Group ICA method was used to extract the DMN component from functional magnetic resonance imaging (fMRI) data and a probabilistic fiber tractography technique based on DTI data was applied to construct the global structural connectivity pattern of the DMN. Then we used the graph theory method to analyze the DMN structural network and found that memory quotient (MQ) score was significantly positively correlated with the global and local efficiency of the DMN whereas anxiety was found to be negatively correlated with the efficiency. The strong structural connectivity between multiple brain regions within DMN may reflect that the DMN has certain structural basis. Meanwhile, the results we found that the network efficiency of the DMN were related to memory and anxiety measures, indicated that the DMN may play a role in the memory and anxiety.
Keyword DTI
Default mode network
Structural network
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article number 152

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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