Carmen Vidaurre

This paper introduces a canonical correlation approach for multi-channel cardiac artefact removal in EEG data and shows it outperforms traditional methods in reducing artefacts while preserving neural signals.

The paper demonstrates specific thalamic nucleus activation during language processing tasks using fMRI in human participants.

This study shows that motor imagery performance is influenced by cardiac cycle phases, with greater alpha and beta suppression during diastole.

This study investigates BCI performance using longitudinal data and finds that signal-to-noise ratio, not mu rhythm connectivity, predicts performance across multiple analysis pipelines.

This study identifies sensorimotor functional connectivity as a neurophysiological factor correlated with BCI performance, showing its significance beyond oscillation amplitude.