Research

Sleep

My work is focused on the analysis and development of methodological techniques to manipulate the main electrophysiological rhythms prevailing in the sleeping brain. I am interested in understanding how these rhythms are related to different cognitive functions as memory and creativity.

I have developed real-time stimulation systems to modulate brain rhythms during sleep, studying the cognitive and physiological response of this stimulation.

Epilepsy

High Frequency Oscillations (HFOs) in the brain have been associated with different physiological and pathological processes. In epilepsy, HFOs might reflect a mechanism of epileptic phenomena, serving as a biomarker of epileptogenesis and epileptogenicity. Despite the valuable information provided by HFOs, their correct identification is a challenging task. My research in epilepsy has been focused in the detection and evaluation of these fast events using intracranial elctrodes.

I have developed software and algorithms for the detection and identification of different parameters in the characteristic EEG signals in this pathology.

Software

  • RIPPLELAB: RIPPLELAB is a multi-window GUI developed in MATLAB for the analysis of high frequency oscillations Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows.

  • psgScore: psgScore is an extensive, flexible and open source sleep diagnostic solution that simplifies the setup, review, analysis and reporting of experimental sleep studies Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.