Improving the spatial resolution of magnetoencephalography images
Alfonso de Hoyos, Javier Portillo, Pilar Marín, Miguel Á. García, Fernando Maestú, Javier Lafuente, Alberto Ferrus, A. Hernando · Neurology and Neurosurgery · 2018
Magnetoencephalography (MEG) is a modern physical technique for the study of the brain function that provides the required temporal resolution.On the contrary, its spatial resolution is limited, and a proper analysis of the experimental data is required to obtain a reliable 3D image of brain activity with good resolution.Recently, a modification of the commonly used Linearly Constrained Minimum Variance (LCMV) source location method to improve its spatial resolution was proposed.The improvement consisted in using pre-stimulus signals to estimate the noise, and average location estimators instead of covariance matrix or data at sensors level.Here we check the validity of the method by comparing its results with those obtained by functional magnetic resonance imaging.The results confirm that the improvement of the MEG spatial resolution provides reliable images allowing identifying neural activity.