The GphT-BCI: Graphene Transistors for High-Density Brain-Computer Interfaces

The GphT-BCI project paves the way for the clinical translation of graphene transistors for brain-computer interfaces.

MArket

Brain computer interfaces are stepping out from research labs into the commercial setting. 

€5.25B

market size by 2030 estimated by Bloomberg

Technology of the year 2023

by Nature Electronics [1]

Technology

We use graphene to build high-resolution brain interfaces

We have developed a novel type of graphene-based transistors combining all the features required to build high-resolution brain-computer interfaces with multiplexing capabilities and sensitivity across a wide range of frequencies.
We circumvented the bottlenecks faced by other approaches thanks to the unique properties of graphene.

Project

We’re joining forces to meet this challenge

GphT-BCI project paves the way for the clinical translation of graphene transistors for brain-computer interfaces. To achieve our ambitious objectives, we have put together an interdisciplinary consortium formed by a high-renowned research center and a high-promising SME, with all the expertise and resources needed to complete the project within time and budget.

Roadmap

We are preparing to bring neural interfaces into the clinic.

This project will pave the way for the clinical translation of brain mapping neural interfaces based on graphene-based transistor arrays for brain-computer interfaces.

1

Creating pre-surgical and intraoperative neuronal mapping of the brain.

The first application of our ground-breaking technology will be neural presurgical and intraoperative acute brain mapping. Our graphene-based transistor leads can be used to monitor tissue functionality and guide neurosurgeons during localization and resective interventions.

2

Building high-resolution brain interfaces

Then, we will advance towards brain-computer interfaces with chronic ultra-high-resolution decoding capabilities, with applications in Parkinson, Epilepsy and Stroke (Aphasia, speech synthesis).

3

Integrating elements into a standalone patient platform

These will come with an implantable interface and communication system and a patient closed-loop communication app. 

Objectives

WP-01

Upscaling of graphene active sensor thin-film technology

  • Pre-industrialisation of thin-film technology
  • Manufacturing active sensing leads

WP-02

Read-out electronics for active transistor arrays

  • Definition of read-out electronics requirements
  • ASIC design for frequency domain multiplexing
  • Design and validation of the readout electronics system

WP-03

System integration

  • Definition of system requirements 
  • Cortical prototype integration 
  • Software platform and interface kit

WP-04

Quality and regulatory programme

  • Risk assessment
  • Evaluation of biological and sterilisation safety
  • Electrical safety and EMI assessment of clinical prototype

WP-05

Preclinical assessment and clinical preparation

  • Clinical and preclinical requirements
  • Acute and chronic preclinical validation
  • Draft of clinical investigation plan for FIH

WP-06

Exploitation and dissemination

  • Update tech-to-market business plan 
  • Communication and dissemination activities 
  • IP transfer and management

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