Data Analysis

Several software packages are utilized for analyzing MEG data after it has been collected. The MEG Laboratory software MEG160 (Yokogawa Electric Corp., Eagle Technology Corp., Kanazawa Institute of Technology) is used for noise reduction and epoching. Minimum norm estimates are then computed using either BESA 5.1 (MEGIS Software GmbH, Gräfelfing, Germany) or MNE software developed at the Martinos Center for Biomedical Imaging; lab members use the official distribution of MNE as well as a Python distribution. FreeSurfer software, also developed at the Martinos Center, is used to create cortical reconstructions of subjects’ structural MRI data, which is sometimes obtained from collaborating labs. These cortical surface reconstructions are used to constrain the minimum-norm estimates computed by MNE and BESA. Further statistical analysis on the minimum-norm solutions is conducted using R software (R Project for Statistical Computing).