A working hypothesis visualization method for fNIRS measurements using Monte Carlo simulation.

ABSTRACT: In neuroscience, clarifying the functional localization of the cerebrum using functional near-infrared spectroscopy (fNIRS) is one of the important works. To better understand and trust fNIRS data, neuroscientists formulate hypothesis about the underlying neural processes. However, visualizing and validating these hypotheses is not easy due to the complex nature of brain activity and the limitations of fNIRS measurements. In this paper, we suggest the novel Monte Carlo tool designed to assist fNIRS study for neuroscientists and to deal with these problems. The tool provides a user-friendly interface for generating realistic virtual brain activity patterns based on a specified hypothesis. By setting up a region of interest in the standard brain based on the hypothesis, the simulation models

SUBMITTER: Kikuchi Y 

PROVIDER: S-EPMC10506050 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature