Cargando…
Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study
OBJECTIVE: Pilot testing of real time functional magnetic resonance imaging (rt-fMRI) and real time functional near infrared spectroscopy (rt-fNIRS) as brain computer interface (BCI) neural feedback systems combined with motor learning for motor recovery in chronic severely impaired stroke survivors...
Autores principales: | Matarasso, Avi K., Rieke, Jake D., White, Keith, Yusufali, M. Minhal, Daly, Janis J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101762/ https://www.ncbi.nlm.nih.gov/pubmed/33956845 http://dx.doi.org/10.1371/journal.pone.0250431 |
Ejemplares similares
-
Four methods of brain pattern analyses of fMRI signals associated with wrist extension versus wrist flexion studied for potential use in future motor learning BCI
por: Ravindran, Aniruddh, et al.
Publicado: (2021) -
Real-Time State Estimation in a Flight Simulator Using fNIRS
por: Gateau, Thibault, et al.
Publicado: (2015) -
LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
por: Gulraiz, Asma, et al.
Publicado: (2022) -
System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
Publicado: (2023) -
Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study
por: Zimmermann, Raphael, et al.
Publicado: (2013)