Brain Topography

, Volume 32, Issue 1, pp 87–96 | Cite as

Extraversion and Neuroticism Related to Topological Efficiency in White Matter Network: An Exploratory Study Using Diffusion Tensor Imaging Tractography

  • Yajing Pang
  • Heng Chen
  • Yuyan Chen
  • Qian CuiEmail author
  • Yifeng Wang
  • Zhiqiang Zhang
  • Guangming Lu
  • Huafu ChenEmail author
Original Paper


White matter (WM) fibers underpin individual differences in extraversion and neuroticism. These personality traits are associated with integration of emotion, cognition, and behavior, which rely on a large-scale brain network. Thus, research at network level is needed to characterize neural underpinnings of extraversion and neuroticism. We performed diffusion tensor imaging on 68 healthy individuals and combined a WM network with graph theory analysis to investigate the connectivity of the whole-brain network and individual regions associated with extraversion and neuroticism. Extraversion was negatively associated with local efficiency in the medial prefrontal cortex (MPFC), and neuroticism was positively associated with local and global efficiencies mainly in the hippocampus and MPFC regions, respectively. These identified regions demonstrated connectivity with other cortical and subcortical regions. No reliable associations were found between the network local and global efficiencies and extraversion, as well as neuroticism. These findings indicated the association between specific personality dimensions and information transfer in the prefrontal–limbic regions, which provided further insight into the neural mechanism to characterize extraversion and neuroticism.


Extraversion Neuroticism White matter network Graph theory analysis 



This work was supported by the Natural Science Foundation of China (61533006, 81771919, and 31600930), the Science Foundation of Ministry of Education of China (14XJC190003), and the Fundamental Research Funds for the Central Universities (ZYGX2013Z004, ZYGX2014J104, and ZYGX2016KYQD120).

Author Contributions

YP and HC conceived and designed the experiments. ZZ and GL prepared the samples. YP, HC, and YC analyzed the data. YP, QC, and YW participated in the interpretation of data. YP wrote the paper.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflicts of interest.

Supplementary material

10548_2018_665_MOESM1_ESM.docx (2.1 mb)
Supplementary material 1 (DOCX 2101 KB)


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.School of Life Science and Technology, Center for Information in MedicineUniversity of Electronic Science and Technology of ChinaChengduChina
  3. 3.School of Public AdministrationUniversity of Electronic Science and Technology of ChinaChengduChina
  4. 4.Department of Medical Imaging, Jinling HospitalNanjing University School of MedicineNanjingChina

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