Zhang Shujun, Li Meiqin, Chen Anqiang, Jiang Liping, Yu Hao, Chen Yueqin
Department of Radiology, Affiliated Hospital of Jining Medical University, No. 89 Guhuai Road, Jining, Shandong Province, 272000, China.
Jining Key Laboratory of Cardio-Cerebrovascular Imaging, Jining, Shandong Province, 272000, China.
BMC Med Imaging. 2025 Jul 6;25(1):271. doi: 10.1186/s12880-025-01811-0.
BACKGROUND: Previous studies have identified sex differences in brain structure, function, and connectivity. However, the sex differences and age-related changes at the large-scale brain network level remain unclear. METHODS: Resting-state functional MRI data from 436 healthy adults were analyzed using independent component analysis to extract large-scale brain networks. Multivariate analysis of covariance was applied to investigate sex differences in inter-network connectivity between these networks, and further performed voxel-level analysis to examine intra-network connectivity differences. Additionally, Pearson correlation analysis was used to explore the relationship between inter-network and intra-network functional connectivity (FC) and age. RESULTS: Males exhibited stronger inter-network FC across multiple networks compared to females. In contrast, females demonstrated stronger intra-network FC in several networks, including the sensorimotor, salience, auditory, and executive control networks. Males showed stronger intra-network FC only in specific regions of the posterior default mode and left frontoparietal networks. Additionally, inter-network FC in females appeared more susceptible to age-related changes, whereas males demonstrated relatively stable inter-network connectivity across the lifespan. Intra-network FC generally decreases with age in both males and females, with the exception of the ventral attention network in females and the dorsal sensorimotor network in males. CONCLUSION: Males typically have stronger inter-network connectivity, while females show enhanced intra-network connectivity in key networks. Age-related inter-network connectivity declines are more pronounced in females, both sexes experience a reduction in most intra-network connectivity with age. The study offers valuable insights into how age and sex shape the large-scale brain networks.
背景:以往研究已确定大脑结构、功能和连通性存在性别差异。然而,在大规模脑网络层面,性别差异及与年龄相关的变化仍不明确。 方法:使用独立成分分析对436名健康成年人的静息态功能磁共振成像数据进行分析,以提取大规模脑网络。应用多变量协方差分析来研究这些网络之间网络间连通性的性别差异,并进一步进行体素水平分析以检查网络内连通性差异。此外,使用Pearson相关分析来探索网络间和网络内功能连通性(FC)与年龄之间的关系。 结果:与女性相比,男性在多个网络中表现出更强的网络间FC。相比之下,女性在包括感觉运动、突显、听觉和执行控制网络在内的几个网络中表现出更强的网络内FC。男性仅在默认模式后部和左侧额顶叶网络的特定区域表现出更强的网络内FC。此外,女性的网络间FC似乎更容易受到与年龄相关的变化的影响,而男性在整个生命周期中表现出相对稳定的网络间连通性。男性和女性的网络内FC通常都随年龄增长而降低,但女性的腹侧注意网络和男性的背侧感觉运动网络除外。 结论:男性通常具有更强的网络间连通性,而女性在关键网络中表现出增强的网络内连通性。与年龄相关的网络间连通性下降在女性中更为明显,两性的大多数网络内连通性都会随着年龄增长而降低。该研究为年龄和性别如何塑造大规模脑网络提供了有价值的见解。
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