中国科学院行为科学重点实验室知识库

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。

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.