Matilde Dirodi

ETH Zurich | ETH Zürich

Introduction:Brain-computer interfaces have become an important tool in human computer interactions. The area of applications ranges from simple research to profound stroke therapy. In this paper, a novel approach to motor imagery is proposed. We analyzed left and right hand grasping using electroencephalography (EEG) and functional near-infrared s...

Objective: To assess the ability of high-density Electroencephalography (HD-EEG) and magnetoencephalography (MEG) to localize interictal ripples, distinguish between ripples co-occurring with spikes (ripples-on-spike) and independent from spikes (ripples-alone), and evaluate their localizing value as biomarkers of epileptogenicity in children with...

Rationale High frequency oscillations (HFOs) are emerging biomarkers of epileptogenicity that are typically investigated with intracranial EEG (iEEG). A major limitation of iEEG, linked to its invasiveness, is that it can only sample a portion of the entire cerebral cortex. Full-head non-invasive tests are often necessary to optimize iEEG placement...

Introduction: Patients with medically refractory epilepsy (MRE) need surgical resection of the epileptogenic zone (EZ) to gain seizure-freedom. High-frequency oscillations (HFOs, > 80 Hz) are promising biomarkers of the EZ that are typically localized using intracranial electroencephalography (icEEG). The goal of this study was to localize the cor...

Rationale For patients with medically refractory epilepsy (MRE), the success of epilepsy surgery depends on the availability of a precise biomarker of epileptogenicity. High-frequency oscillations (HFOs) have emerged as reliable epilepsy biomarkers. Ripple HFOs (>80 Hz) can be seen using magnetoencephalography (MEG) or scalp electroencephalography...