The resting-state functional connectivity (RSFC)of spontaneoushemodynamic fluctuationsis widely used to investigate large-scale functional brain networks based on neurovascular mechanisms. However,high-resolution RSFC networks based on neural activity have not been disclosed to explore the neural basis of these spontaneous hemodynamic signals.Moreover, it’s not very clear whether the consciousness of the brain could affect the RSFC.
Prof. Pengcheng Li and Dr. Bing Li et al. from Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronicsexamines the neural RSFC networks in mice at high spatial resolution using optical imaging with voltage-sensitive dyes (VSD). Results show that neural RSFC networks for the slow cortical potentials (0.1-4 Hz) showed similar correlation patterns to the RSFC networks for the spontaneous hemodynamic signals, indicating a tight coupling between the slow cortical potential and the spontaneous hemodynamic signals during rest. By increasinganaestheticlevels to induce the reduction of consciousness, the RSFC networks for the slow cortical potentials persisted, but those for the spontaneous hemodynamic signals became discrete. These results suggest that the coherent slow cortical potentials underlie the spontaneous hemodynamic fluctuations and reveal a superior localization of RSFC networks.
This study is published in NeuroImage (vol. 91, Issue 1, pp. 162-168, 2014). This work was supported by the National High Technology Research and Development Program of China (grant 2012AA011602), the Science Fund for Creative Research Group of China (Grant No. 61121004), and the National Natural Science Foundation of China (Grant Nos. 30970964, 30800339).