PhD Scientific Days 2023

Neurosciences II.

Developing a Universal Computer-Brain Interface Using Spinal Cord Stimulation

Előadó neve

Dr. Miklós, Gabriella

Neptun code

RQESWO

Előadó munkahelye

National Institute of Mental Health, Neurology and Neurosurgery

Előadó telefonszáma

+36702192576

Előadó e-mail címe

miklos.gabriella@stud.semmelweis.hu

Az előadás címe

Developing a Universal Computer-Brain Interface Using Spinal Cord Stimulation

Szerző(k) neve és munkahelye

Gabriella Miklós1,2,3, Bálint Várkuti3, László Halász4, Saman Hagh Gooie3, Ricardo Smits Serena3,5, Gijs van Elswijk3, Cameron C. McIntyre6, Scott F. Lempka7, Andres M. Lozano8, and Loránd Erőss1
1National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
2János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
3CereGate GmbH, Munich, Germany
4Albert-Szentgyörgyi Medical School, Doctoral School of Clinical Medicine, Clinical and Experimental Research for Reconstructive and Organ-Sparing Surgery, Universitiy of Szeged, Hungary
5Department of Orthopaedics and Sports Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Germany
6Department of Biomedical Engineering and Department of Neurosurgery, Duke University, Durham NC, USA
7Department of Biomedical Engineering, Department of Anesthesiology and the Biointerfaces Institute, University of Michigan, Ann Arbor MI, USA
8Division of Neurosurgery, Department of Surgery, University of Toronto, Ontario, Canada

Bemutatás módja

Szóbeli

Szekció

Neurosciences II.

Language of the presentation

English

Preferred session

Clinical Medicine

Összefoglaló szövege

Computer-brain interfaces (CBIs) transmit external signals into the nervous system. They can be used to restore sensory impairments or augment normal function. While most CBI applications focus on within-modality sensory prosthetics, there is no technological solution for a general-purpose interface. Furthermore, the development of high-performance CBIs has been limited by the need for complex brain surgery with associated risk factors. In contrast, commercial medical neurostimulators have already been widely adopted and typically have electrodes near afferent neural pathways, thus having the potential to serve as a gateway for interfacing with the brain.
Our research aimed to explore the use of medical implants for spinal cord stimulation as a tool for computer-to-brain communication and clinical rehabilitation (e.g. re-establishing balance).
We calibrated personalized stimulation settings to yield distinctive and reproducible sensations in 20 patients who had recently undergone spinal cord stimulator (SCS) implantation. These sensations were then used as inputs in various tasks, including rhythm discrimination: to distinguish slow from fast repeating CBI inputs, morse-decoding: to distinguish short-duration from long-duration inputs, and balance: to tilt the head/hand-held board into one out of seven possible tilt positions, solely using CBI feedback.
We managed to establish computer-to-brain communication in 18 out of 20 patients. Participants required minimal training to execute these tasks. Binomial statistical tests showed that each task was performed above chance level, with overall average performance levels exceeding 80% correct responses.
Our findings constitute the first proof-of-concept for a general purpose CBI that could be deployed on present-day medical neurostimulation platforms.
Funding:
CereGate GmbH
SE250+ Fellowship

University and Doctoral School

Semmelweis University, János Szentágothai Doctoral School of Neurosciences

Supervisor

Med. Habil. Dr. Loránd Erőss PhD.

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

7506

Start

16:00

End

16:15

Authors (legacy)

Gabriella Miklós1,2,3, Bálint Várkuti3, László Halász4, Saman Hagh Gooie3, Ricardo Smits Serena3,5, Gijs van Elswijk3, Cameron C. McIntyre6, Scott F. Lempka7, Andres M. Lozano8, and Loránd Erőss1
1National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
2János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Budapest, Hungary
3CereGate GmbH, Munich, Germany
4Albert-Szentgyörgyi Medical School, Doctoral School of Clinical Medicine, Clinical and Experimental Research for Reconstructive and Organ-Sparing Surgery, Universitiy of Szeged, Hungary
5Department of Orthopaedics and Sports Orthopaedics, Klinikum Rechts der Isar, Technical University of Munich, Germany
6Department of Biomedical Engineering and Department of Neurosurgery, Duke University, Durham NC, USA
7Department of Biomedical Engineering, Department of Anesthesiology and the Biointerfaces Institute, University of Michigan, Ann Arbor MI, USA
8Division of Neurosurgery, Department of Surgery, University of Toronto, Ontario, Canada