Sign up to save your podcasts
Or
Share #17 How can AI decode the brain’s messages to move? Brain-to-brain with Mo Nipshagen.
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#17 How can AI decode the brain’s messages to move? Brain-to-brain with Mo Nipshagen.
Did you know that your brain keeps sending signals to move your limbs even when your paralyzed?
Mo Nipshagen is a PhD candidate at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen. Together with their colleagues, they develop Brain-Computer-Interfaces to enable locked-in and paralyzed patients to interact with the world around them.
Listen to this episode if you want to learn more about the future of paralysis treatment and how computers can interact with the human brain.
Resources:
Berezutskaya, J., Saive, AL., Jerbi, K., Gerven, M.v. (2023). How Does Artificial Intelligence Contribute to iEEG Research?. In: Axmacher, N. (eds) Intracranial EEG. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-20910-9_47
Vansteensel, M.J., Pels, E.G., Bleichner, M.G., Branco, M.P., Denison, T.J., Freudenburg, Z.V., Gosselaar, P., Leinders, S., Ottens, T.H., van den Boom, M.A., van Rijen, P.C., Aarnoutse, E.J., & Ramsey, N.F. (2016). Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. The New England journal of medicine, 375 21, 2060-2066. https://doi.org/10.1056/NEJMoa1608085
Anumanchipalli, G.K., Chartier, J., & Chang, E.F. (2019). Speech synthesis from neural decoding of spoken sentences. Nature, 568, 493 – 498. https://doi.org/10.1038/s41586-019-1119-1
Ottenhoff, M. C., Verwoert, M., Goulis, S., Colon, A. J., Wagner, L., Tousseyn, S., van Dijk, J. P., Kubben, P. L., & Herff, C. (2023). Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder. In Frontiers in Neuroscience (Vol. 17). Frontiers Media SA. https://doi.org/10.3389/fnins.2023.1283491
https://www.intenseproject.eu
Credits:
Produced by: Sophie Kühne and Alina Ohnesorge
Logo by: Annika Richter
Music by: Jan-Luca Schröder
View all episodes
By Sophie Kühne, Sönke Lülf, Elisa PalmeDid you know that your brain keeps sending signals to move your limbs even when your paralyzed?
Mo Nipshagen is a PhD candidate at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen. Together with their colleagues, they develop Brain-Computer-Interfaces to enable locked-in and paralyzed patients to interact with the world around them.
Listen to this episode if you want to learn more about the future of paralysis treatment and how computers can interact with the human brain.
Resources:
Berezutskaya, J., Saive, AL., Jerbi, K., Gerven, M.v. (2023). How Does Artificial Intelligence Contribute to iEEG Research?. In: Axmacher, N. (eds) Intracranial EEG. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-20910-9_47
Vansteensel, M.J., Pels, E.G., Bleichner, M.G., Branco, M.P., Denison, T.J., Freudenburg, Z.V., Gosselaar, P., Leinders, S., Ottens, T.H., van den Boom, M.A., van Rijen, P.C., Aarnoutse, E.J., & Ramsey, N.F. (2016). Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. The New England journal of medicine, 375 21, 2060-2066. https://doi.org/10.1056/NEJMoa1608085
Anumanchipalli, G.K., Chartier, J., & Chang, E.F. (2019). Speech synthesis from neural decoding of spoken sentences. Nature, 568, 493 – 498. https://doi.org/10.1038/s41586-019-1119-1
Ottenhoff, M. C., Verwoert, M., Goulis, S., Colon, A. J., Wagner, L., Tousseyn, S., van Dijk, J. P., Kubben, P. L., & Herff, C. (2023). Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder. In Frontiers in Neuroscience (Vol. 17). Frontiers Media SA. https://doi.org/10.3389/fnins.2023.1283491
https://www.intenseproject.eu
Credits:
Produced by: Sophie Kühne and Alina Ohnesorge
Logo by: Annika Richter
Music by: Jan-Luca Schröder