MEG

My research concentrates on neurophysiological biomarkers of epilepsy and early brain injury. I apply novel analysis strategies to clinical neurophysiological data, including electroencephalography (EEG), magnetoencephalography (MEG) and intracranial EEG (mostly stereo-EEG), in an attempt to find new markers that could improve diagnostics and inform treatment decision in patients with perinatal brain injury or epilepsy.

We aim to understand how the human brain works by following electrophysiological and hemodynamic changes by means of noninvasive imaging: magnetoencephalography (MEG) to track brain dynamics at millisecond scale and functional magnetic resonance imaging (fMRI) to spot the active brain areas with millimeter precision. This systems-neuroscience approach suits well for merging information from many fields of science interested in human behavior: neuroscience, psychology, social psychology, neurology, and psychiatry. We translate basic-research results to clinics via CliniMEG.

The group's research interests are in multi-sensor data processing systems with applications in location sensing, health and medical technology, machine learning, inverse problems, and brain imaging.