Analysis of resting-state network of the mouse neocortex by using optical intrinsic signal imaging

Abstract

Recent studies suggest that the resting-state network (RSN) of human brain has close relationship with neurological and psychiatric diseases. So far, mouse has been used to study the mechanism and treatment of these diseases because of applicability of various experimental methods including genetic engineering. Since the fMRI, which has been mainly used to estimate the human RSN, is not suitable for mouse due to insufficient spatial resolution, optical intrinsic signal imaging (OISI) method is being tested on behalf of fMRI. However, it remains many problems including the cost and complexity of experimental system and analytical methods. To solve the problems, we developed a method to analyze RSN of the mouse neocortex by using single-wavelength transcranial OISI method. By using the method, we found that the structure of RSN of mice during REM sleep is significantly different from that during quiescent awake and non-REM sleep.