Nadine Spychala

Nadine Spychala

Doctoral researcher at Sussex University. Working on formal measures of complexity and emergence. Information Theory | Machine Learning | Research Software | Open, Reproducible & Ethical Science. She/her.

Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation

Published in Frontiers in Human Neuroscience, 2020

Recommended citation: Spychala, N., Debener, S., Bongartz, E., Müller, H. H., Thorne, J. D., Philipsen, A., & Braun, N. (2020). Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation. Frontiers in Human Neuroscience, 13, 461. https://www.frontiersin.org/articles/10.3389/fnhum.2019.00461/full

Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation | Nadine Spychala

In this study, we developed a self-paced neurofeedback motor-imagery training (NF-MIT) paradigm with an embodiable feedback signal (in our case, an anthropomorphic robotic hand), and tested its feasibility with both stroke patients and healthy controls. Results show that it can well complement classical approaches of NF-MIT and thus be beneficial in post-stroke motor rehabilitation. All code used for analysis is available in this github repository.