Hemispheric asymmetry of the functional brain connectome

Wei Shang, Ting Li, Jie Xiang, Rui Cao, Bin Wang, Jinglong Wu, Hui Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Researches of neuroimaging have revealed that there are many differences between left hemisphere and right hemisphere both in anatomical structure and in cognitive function. However, little is known about the topological organization of the functional networks of the two hemispheres. In the present study, we used functional magnetic resonance imaging to examine the topological organization and hemispheric differences in the functional networks in the two hemispheres. Analysis of asymmetry on functional networks was performed on a group of 192 healthy right-handed Chinese subjects. It revealed that both left and right hemisphere showed small-worldness features. We also found a significant rightward asymmetry on clustering coefficients and characteristic path length, a significant leftward asymmetry on global efficiency. In addition, the right hemisphere shows a stronger tendency of organizational modularity. These results may explain some differences in behaviors and cognition.

Original languageEnglish
Title of host publicationCognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers
PublisherSpringer Verlag
Pages541-547
Number of pages7
Volume710
ISBN (Print)9789811052293
DOIs
Publication statusPublished - 2017
Event3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016 - Beijing, China
Duration: Nov 19 2016Nov 23 2016

Publication series

NameCommunications in Computer and Information Science
Volume710
ISSN (Print)1865-0929

Other

Other3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016
CountryChina
CityBeijing
Period11/19/1611/23/16

Fingerprint

Brain
Neuroimaging
Magnetic Resonance Imaging

Keywords

  • Functional brain connectome
  • Hemispheric asymmetry
  • Resting-state fMRI

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Shang, W., Li, T., Xiang, J., Cao, R., Wang, B., Wu, J., & Zhang, H. (2017). Hemispheric asymmetry of the functional brain connectome. In Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers (Vol. 710, pp. 541-547). (Communications in Computer and Information Science; Vol. 710). Springer Verlag. https://doi.org/10.1007/978-981-10-5230-9_52

Hemispheric asymmetry of the functional brain connectome. / Shang, Wei; Li, Ting; Xiang, Jie; Cao, Rui; Wang, Bin; Wu, Jinglong; Zhang, Hui.

Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers. Vol. 710 Springer Verlag, 2017. p. 541-547 (Communications in Computer and Information Science; Vol. 710).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shang, W, Li, T, Xiang, J, Cao, R, Wang, B, Wu, J & Zhang, H 2017, Hemispheric asymmetry of the functional brain connectome. in Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers. vol. 710, Communications in Computer and Information Science, vol. 710, Springer Verlag, pp. 541-547, 3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016, Beijing, China, 11/19/16. https://doi.org/10.1007/978-981-10-5230-9_52
Shang W, Li T, Xiang J, Cao R, Wang B, Wu J et al. Hemispheric asymmetry of the functional brain connectome. In Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers. Vol. 710. Springer Verlag. 2017. p. 541-547. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-10-5230-9_52
Shang, Wei ; Li, Ting ; Xiang, Jie ; Cao, Rui ; Wang, Bin ; Wu, Jinglong ; Zhang, Hui. / Hemispheric asymmetry of the functional brain connectome. Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers. Vol. 710 Springer Verlag, 2017. pp. 541-547 (Communications in Computer and Information Science).
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