Sébastien Tourbier

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

This paper introduces CSET, a method that reconstructs electrical brain source-networks with high spatial resolution using diffusion MRI and EEG data.

Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

The paper introduces a multimodal neuroimaging dataset containing EEG, MRI, and behavioral data for studying visual evoked potentials and brain connectivity.

Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

The paper introduces a linear adaptive filter that uses structural connectivity priors to improve dynamic and directed functional connectivity estimation in electrophysiological data.

The connectome spectrum as a canonical basis for a sparse representation of fast brain activity

This paper introduces the connectome spectrum as a method to represent brain activity using structural connectivity, showing it provides a more compact and informative representation of fast brain dynamics.

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

This paper introduces a method using network harmonics to track fast EEG dynamics during a face detection task with subsecond resolution.

Using structural connectivity to augment community structure in EEG functional connectivity

The paper uses white matter structural connectivity to improve EEG functional connectivity by smoothing signals in a graph space derived from structural data, increasing resemblance to fMRI connectivity.