An F-ratio-based method for estimating the number of active sources in MEG.

ABSTRACT:

Introduction

Magnetoencephalography (MEG) is a powerful technique for studying the human brain function. However, accurately estimating the number of sources that contribute to the MEG recordings remains a challenging problem due to the low signal-to-noise ratio (SNR), the presence of correlated sources, inaccuracies in head modeling, and variations in individual anatomy.

Methods

To address these issues, our study introduces a robust method for accurately estimating the number of active sources in the brain based on the F-ratio statistical approach, which allows for a comparison between a full model with a higher number of sources and a reduced model with fewer sources. Using this approach, we developed a formal statistical procedure that sequentially increases the number of

SUBMITTER: Giri A 

PROVIDER: S-EPMC10537939 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature