Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer.

ABSTRACT:

Objective

Adaptive beamformer methods that have been extensively used for functional brain imaging using EEG/MEG (magnetoencephalography) signals are sensitive to model mismatches. We propose a robust minimum variance beamformer (RMVB) technique, which explicitly incorporates the uncertainty of the lead field matrix into the estimation of spatial-filter weights that are subsequently used to perform the imaging.

Methods

The uncertainty of the lead field is modeled by ellipsoids in the RMVB method; these hyperellipsoids (ellipsoids in higher dimensions) define regions of uncertainty for a given nominal lead field vector. These ellipsoids are estimated empirically by sampling lead field vectors surrounding each point of the source space, or more generally by building several fo

SUBMITTER: Hossein Hosseini SA 

PROVIDER: S-EPMC7934089 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature