2.1. Overview

Figure 1 summarizes the entire algorithm of this study. First, MEG data were measured from 17 healthy participants while they viewed three categories of pictures: pleasant, unpleasant, and neutral. Second, MEG data were preprocessed separately for each participant. Third, a bootstrap approach was performed to randomly resample the data from each participant separately by calculating the difference in brain response to high-arousing emotional versus neutral stimuli. Finally, those sensors that showed the maximum differences in most replications of bootstrapping were selected as the best sensors.

Workflow of the proposed algorithm to find the MEG sensors showing greater differences in human brain response to high-arousing emotional stimuli compared to neutral stimuli.