Connectome spectrum electromagnetic tomography: A method to reconstruct electrical brain source networks at high‐spatial resolution

Abstract

Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI‐derived structural connectivity data with well‐established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and two EEG datasets on visual‐evoked potentials, we provide evidence supporting that (i) CSET captures realistic neurophysiological patterns with better accuracy than state‐of‐the‐art methods, (ii) CSET can reconstruct brain responses more accurately and with more robustness to intrinsic noise in the EEG signal. These results demonstrate that CSET offers high spatio‐temporal accuracy, enabling neuroscientists to extend their research beyond the current limitations of low sampling frequency in functional MRI and the poor spatial resolution of M/EEG.