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

doi:10.3724/SP.J.1042.2018.0567

Abstract

Abstract:

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

CLC Number:

B845

Kaikai DUAN, HaoMing DONG, Liwen MIAO, Xuequan SU, Jie XIANG, XiNian ZUO. Sex differences in adaptive multi-scale functional connectivity of the human brain[J]. Advances in Psychological Science, 2018, 26(9): 1567-1575.

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