The project has so far successfully developed and validated high-density, multiplexed graphene neural probes enabling DC-coupled, large-scale electrophysiological recordings across cortical and hippocampal networks. These tools allowed the characterization of infra-slow local field potential (isLFP) dynamics across brain regions and layers, providing new insights into the origin of infra-slow potentials and their relation to neuronal synchronization, sleep substates, and memory consolidation.
Using these recording capabilities, the project established a physiological framework linking infra-slow extracellular potential patterns to sustained neuronal synchrony that may generate stationary dipoles through extracellular potassium gradients. These isLFP dynamics are correlated with neuromodulatory signals, and modulate sleep spindles, an oscillatory pattern related to memory consolidation during sleep.
Building on these scientific results, the project advanced toward translationally relevant system concepts by conceiving and validating a modular, distributed neural interface architecture based on miniaturized nodes capable of differential recording and stimulation across the skull. Key technical achievements include experimental validation of signal preservation across the dura, demonstration of the advantages of differential referencing for spatial precision, and the definition of a wireless, battery-free system architecture suitable for closed-loop neuromodulation. These outcomes collectively mark a transition from laboratory proof-of-concept to robust methodologies for future clinical translation
