Our broad objective is to comprehend the mechanisms of large-scale brain rhythms (a.k.a. oscillatory neural dynamics): how they enable functions by shaping communication in brain networks, and how the earliest detection of their alterations in disease can contribute to improved healthcare prevention and interventions. To achieve this goal, our group has a strong backbone of expertise in imaging methods and experimental neuroscience, complemented with collaborations in computational and disease models, neuromodulation techniques, and translational arms to the clinic and industry.
Our rationale is that so far, the ubiquitous polyrhythmic activity of the brain has been approached empirically, with underlying mechanisms that remain not understood. This hinders our comprehension of how 1) perception and behaviour emerge from brain network activity, and 2) the pathophysiological developments of brain and mental-health disorders increasingly studied as network diseases, affect large-scale neural communication.
Our vision is that these difficult questions require a bottom-up approach: We need to understand how basic physiological factors of neural integrity and function shape the dynamical structure of oscillatory brain rhythms, such as their interdependence across multiple frequencies through cross-frequency coupling. These phenomena represent a deep source of uncharted markers of neural integrity, excitability, activity and connectivity.