Improving Localization Accuracy of Neural Sources by Pre-processing: Demonstration With Infant MEG Data.

ABSTRACT: We discuss specific challenges and solutions in infant MEG, which is one of the most technically challenging areas of MEG studies. Our results can be generalized to a variety of challenging scenarios for MEG data acquisition, including clinical settings. We cover a wide range of steps in pre-processing, including movement compensation, suppression of magnetic interference from sources inside and outside the magnetically shielded room, suppression of specific physiological artifact components such as cardiac artifacts. In the assessment of the outcome of the pre-processing algorithms, we focus on comparing signal representation before and after pre-processing and discuss the importance of the different components of the main processing steps. We discuss the importance of taking the noise co

SUBMITTER: Clarke MD 

PROVIDER: S-EPMC8983818 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature