Application of Depth Selectivity Filter to Brain Function Measurement by fNIRS.

In brain function measurement by fNIRS, reducing the effect of the hemodynamic change on the signal is important. In this study, a depth-selective filter, which is one of the reduction methods, was applied to the brain function measurement and its reduction effect was verified. A Stroop GO/NO-GO task, which is expected to produce a response in the frontal region was used. The experiments showed the effectiveness of reducing the hemodynamic changes with the depth-selective filter. It can be used as a preprocessing tool for estimating the activated region.