Institute of Brain Science and Department of Psychology, Jing Hengyi School of Education, Hangzhou 311121, China; Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China.
Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China; School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China.
Neuroimage. 2024 Sep;298:120807. doi: 10.1016/j.neuroimage.2024.120807. Epub 2024 Aug 22.
Mental rotation has emerged as an important predictor for success in science, technology, engineering, and math fields. Previous studies have shown that males and females perform mental rotation tasks differently. However, how the brain functions to support this difference remains poorly understood. Recent advancements in neuroimaging techniques have enabled the identification of sex differences in large-scale brain network connectivity. Using a classic mental rotation task with functional magnetic resonance imaging, the present study investigated whether there are any sex differences in large-scale brain network connectivity for mental rotation performance. Our results revealed that, relative to females, males exhibited less cross-network interaction (i.e. lower inter-network connectivity and participation coefficient) of the visual network but more intra-network integration (i.e. higher intra-network connectivity and local efficiency) and cross-network interaction (i.e. higher inter-network connectivity and participation coefficient) of the salience network. Across all participants, mental rotation performance was negatively correlated with cross-network interaction (i.e. participation coefficient) of the visual network, was positively correlated with cross-network interaction (i.e. inter-network connectivity) of the salience network, and was positively correlated with intra-network integration (i.e. local efficiency) of the somato-motor network. Interestingly, the cross-network integration indexes of both the visual and salience networks significantly mediated sex difference in mental rotation performance. The present findings suggest that large-scale brain network connectivity may constitute an essential neural basis for sex difference in mental rotation, and highlight the importance of considering sex as a research variable in investigating the complex network underpinnings of spatial cognition.
心理旋转已成为科学、技术、工程和数学领域成功的重要预测指标。先前的研究表明,男性和女性在进行心理旋转任务时表现不同。然而,大脑如何发挥作用以支持这种差异仍知之甚少。神经影像学技术的最新进展使得能够识别大规模脑网络连接中的性别差异。本研究使用经典的心理旋转任务和功能磁共振成像,研究了心理旋转表现的大规模脑网络连接中是否存在性别差异。我们的结果表明,与女性相比,男性表现出较少的视觉网络跨网络相互作用(即较低的网络间连接和参与系数),但更多的突显网络内网络整合(即较高的网络内连接和局部效率)和跨网络相互作用(即较高的网络间连接和参与系数)。在所有参与者中,心理旋转表现与视觉网络的跨网络相互作用(即参与系数)呈负相关,与突显网络的跨网络相互作用(即网络间连接)呈正相关,与躯体运动网络的内网络整合(即局部效率)呈正相关。有趣的是,视觉和突显网络的跨网络整合指标均显著介导了心理旋转表现的性别差异。本研究结果表明,大规模脑网络连接可能构成心理旋转性别差异的重要神经基础,并强调在研究空间认知的复杂网络基础时,将性别视为研究变量的重要性。