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Gender Effect on Functional Networks in Resting Brain

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Medical Imaging and Informatics (MIMI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4987))

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Abstract

Previous studies have witnessed that complex brain networks have the properties of high global and local efficiency. In this study, we investigated the gender effect on brain functional networks measured using functional magnetic resonance imaging (fMRI). Our experimental results showed that there were no significant difference in global and local efficiency between male and female. However, the gender-related effects on nodal efficiency were found at several brain regions, including the left middle frontal gyrus, right superior temporal gyrus, left middle cingulum gyrus, left hippocampus, right hippocampus, right parahippocampal and left amygdala. These results were compatible with previous findings. To our knowledge, this study provided the first evidence of gender effect on the efficiency of brain functional networks using resting-state fMRI.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Beijing Institute of Technology, P.R. China

    Liang Wang & Qiuhai Zhong

  2. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, P.R. China

    Liang Wang, Chaozhe Zhu & Yufeng Zang

  3. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada, H3A 2B4

    Yong He

Authors
  1. Liang Wang
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  2. Chaozhe Zhu
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  3. Yong He
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  4. Qiuhai Zhong
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  5. Yufeng Zang
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Editor information

Xiaohong Gao Henning Müller Martin J. Loomes Richard Comley Shuqian Luo

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© 2008 Springer-Verlag Berlin Heidelberg

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Wang, L., Zhu, C., He, Y., Zhong, Q., Zang, Y. (2008). Gender Effect on Functional Networks in Resting Brain. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-79490-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79489-9

  • Online ISBN: 978-3-540-79490-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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