ISSN 1671-3710
CN 11-4766/R

心理科学进展 ›› 2018, Vol. 26 ›› Issue (9): 1567-1575.doi: 10.3724/SP.J.1042.2018.0567

• 研究简报 • 上一篇    下一篇


段凯凯1, 董昊铭2,3,4,5, 苗丽雯1, 苏学权6,7, 相洁1,**(), 左西年2,3,4,5,7,*()   

  1. 1太原理工大学, 计算机科学与技术学院, 太原 030024
    2中国科学院行为科学重点实验室, 北京 100101
    3中国科学院大学, 心理学系, 北京 100049
    4中国科学院心理研究所磁共振成像研究中心, 北京 100101
    5中国科学院心理研究所, 脑与心智毕生发展研究中心, 北京 100101
    6广西师范学院, 体育学院, 南宁 530000
    7广西师范学院, 脑与教育重点实验室, 南宁 530001
  • 收稿日期:2018-01-22 出版日期:2018-09-15 发布日期:2018-07-30
  • 通讯作者: 相洁,左西年;
  • 基金资助:

Sex differences in adaptive multi-scale functional connectivity of the human brain

DUAN Kaikai1, DONG HaoMing2,3,4,5, MIAO Liwen1, SU Xuequan6,7, XIANG Jie1,**(), ZUO XiNian2,3,4,5,7,*()   

  1. 1 College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China
    2 CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
    3 Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
    4 Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
    5 Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
    6 Institute of Physical Education, Guangxi Teachers Education University, Nanning 530000, China
    7 Key Laboratory of Brain and Education, Guangxi Teachers Education University, Nanning 530001, China
  • Received:2018-01-22 Online:2018-09-15 Published:2018-07-30
  • Contact: Jie XIANG,XiNian ZUO;


已有脑成像研究展示了男女脑功能差异, 但功能磁共振信号的频率划分通常基于主观经验, 使脑功能性别差异的生物学解释遭遇瓶颈。本文提出人脑自适应多尺度功能连接算法, 刻画功能连接的时空多尺度特性, 揭示出0.06~0.10 Hz的性别差异:男性较强的连接主要与边缘网络和腹侧注意网络有关, 女性较强的连接主要与腹侧注意网络、视觉网络和额顶网络有关。

关键词: 性别差异, 功能连接, 脑网络, 功能磁共振成像, 低频特性


Recent advances on functional magnetic resonance imaging (fMRI) demonstrated sex differences in the brain function. However, no standard on fMRI signal’s frequency division limited further biologically plausible explanation of these observations. In this work, we proposed a fast-multi-dimensional ensemble empirical mode decomposition to extract their multi-scale features of fMRI signal. We found that: this method can perform adaptive frequency allocation for the resting-state fMRI signal, whereby the built multi-scale function network in the frequency brain of 0.06 ~ 0.10 Hz showed significant sex differences regarding its connectivity; males had strong functional connectivity primarily within the limbic network and ventral attention network whereas females presented their strong functional connectivity mainly related to the visual network, ventral attention network and frontoparietal control network. These findings present a new method for the analysis of functional MRI images and provided brain imaging evidence on sex differences in functional connectomics.

Key words: sex differences, functional connectivity, brain network, functional magnetic resonance imaging, low frequency characteristics