Funded projects

Distributed and federated cross-modality actuation through advanced nanomaterials and neuromorphic learning

Coordinator and Principal Investigator

An EIC Pathfinder project developing wireless implantable microdevices that sense neural activity and deliver adaptive stimulation. Advanced nanomaterials, miniaturised electronics and neuromorphic learning support coordinated modulation of brain circuits, with experimental applications in Parkinson’s disease and epilepsy.

Project abstract

A vast number of pathological brain conditions directly involve aberrant electrical activity of the brain. CROSSBRAIN centres its technological revolution on the convergence of novel nanoactuation modalities, bleeding-edge nano-electronics, and miniaturized wireless energy harvesting and communication. Combining extreme edge computing with advanced nanomater…Read the full abstractCollapse abstract
A vast number of pathological brain conditions directly involve aberrant electrical activity of the brain. CROSSBRAIN centres its technological revolution on the convergence of novel nanoactuation modalities, bleeding-edge nano-electronics, and miniaturized wireless energy harvesting and communication. Combining extreme edge computing with advanced nanomaterials featuring tailored physical properties, biocompatible coatings, and material modifications to prevent glial scarring, CROSSBRAIN will enable individualized, adaptive and highly spatiotemporally localized actuation of brain tissue. It will leverage sensing electric local field potentials, multiunit neuronal activity, and cross-modal nanomaterial-based modulation (electrical, mechanical, thermal, ionic concentration, optogenetics) of neuronal excitability with on-board intelligence. The CROSSBRAIN platform comprises a swarm of wireless, implantable, MRI-compatible microbots for in vivo electrophysiology and cross-modal neuromodulation at the cell- and microcircuit levels, in freely moving rodents. CROSSBRAIN delivers a multiplicity of stimulation modalities, involving electro-mechano-magneto-thermo-optical principles for modulation of nerve cell excitability. The microbots will feature both sensing and actuation electrodes, engineered with nanomaterials and viral vectors coatings. They will be implanted endovascularly, deliver genetic material upon command, and operate in federation under the networked control and wireless power supply by a tiny central unit, which can be worn like an internet of things device. CROSSBRAIN will deliver autonomous or manual, closed-loop sensing, prediction, and actuation through combining multiple neuromodulation mechanisms, which will act in a synergistic and dynamic manner to optimally shape stimulation according to individual neuronal firing patterns or clinician’s needs. As case studies, we will explore CROSSBRAIN action in animal models of Parkinson’s Disease and Epilepsy.

Research connections

Laboratories

Research projects

Publications

  • 2026

    <em>Ex vivo</em> localization of wireless implantable microdevice using high-resolution 3D imaging techniques

    Frontiers in bioengineering and biotechnology

    The CROSSBRAIN EU project aims to address the heterogeneous nature of brain pathologies by developing wireless implantable microbots (µBots, planned dimensions 100 × 100 × 100 μm3) for highly localized neuromodulation. These devices are designed to precisely modulate brain activity with minimal invasiveness, enabling targeted resolution of specific spatiotem…Read the full abstractCollapse abstract
    The CROSSBRAIN EU project aims to address the heterogeneous nature of brain pathologies by developing wireless implantable microbots (µBots, planned dimensions 100 × 100 × 100 μm3) for highly localized neuromodulation. These devices are designed to precisely modulate brain activity with minimal invasiveness, enabling targeted resolution of specific spatiotemporal events, capabilities not currently achieved by existing neuromodulation technologies. A crucial step involves visualizing and ensuring the optimal placement of the µBots in the brain tissue, to study their functionality after implantation. In this preliminary ex vivo study, we used non-functional µBot silicon (Si) dummies matching the lateral dimensions of the intended µBots, with reduced thickness (100 × 100 × 50 μm3) to simplify fabrication and handling. Due to the intrinsic MRI incompatibility of the µBot platform, encompassing both the dummies used in this study and the future functional devices under development, and the limitations of standard histological approaches in reliably identifying and preserving the implant site during processing, we developed an integrated imaging workflow combining 2D and 3D techniques. While standard histological methods and tissue clearing presented substantial limitations in preserving the position of the dummies within the brain tissue, combining histological techniques with 3D X-ray tomography provided a robust strategy. In particular, synchrotron radiation-based X-ray Phase Contrast Tomography (XPCT), with its intrinsic high contrast and resolution, enabled detailed visualization of dummies within the surrounding vascular and cellular architecture. In contrast, conventional micro-Computed Tomography (micro-CT), although more widely accessible, enabled non-destructive guidance for targeted sectioning. Importantly, and in line with the scope of a Brief Research Report, this study presents a preliminary but technically robust investigation conducted within the CROSSBRAIN project, aimed at identifying and establishing an optimized imaging strategy for the visualization of implanted µBots in brain tissue. This methodological framework is intended as an initial step toward future in vivo studies, in which the validated imaging pipeline will be applied to track both dummy and functional devices and to enable subsequent evaluation of foreign body response under physiologically relevant conditions. This ex vivo workflow therefore provides the essential technical foundation for such future investigations and supports the clear positioning of this work as a feasibility and optimization study. This approach could be particularly valuable for new generations of implantable technologies incompatible with MRI and could support future development of personalized neuromodulation therapies by enabling precise device localization and structural tissue assessment.