Research on Functional Brain Networks Topological Properties by Real-time Fmri Emotion Self-regulation Training

Various neuroimaging studies had demonstrated that multiple brain regions would activate during execute cognitive task. Meanwhile, Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) can assist subject self-regulation brain activity. However, the neural mechanisms about rtfMRI-NF were unclear. To investigate this problem, we combined graph theory with resting state fMRI to explore the topological properties of functional brain networks. In our study, subjects were provided with ongoing functional connectivity information which was related to emotion regulation. Our results showed that rtfMRI-NF training could alter the small-world properties and nodal degree in the temporal lobe, frontal lobe, limbic system. Together, our results suggested that rtfMRI-NF training was associated with alters in the topological properties of functional brain networks.