Similarity of functional connectivity of human brain in simultaneous measurements of fMRI and fNIRS

Abstract

To investigate the ability of fNIRS to measure the functional connectivity and resting state network of human brain, we performed a simultaneous measurement of human brain using fMRI and fNIRS during finger tapping. By using independent component analysis (ICA) of fMRI data and calculating correlations of its resulting time course of network components and fNIRS data, we showed that fNIRS can measure the functional connectivity networks of human brain which has been measured by fMRI. The results also suggest the possibility of indirect fNIRS measurement and estimation of activity of deep area of human brain which is too distant from head surface to measure by fNIRS directly.