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Non-invasive Neural Intervention for Sensorimotor Recovery
Scientifica – Zürcher Wissenschaftstage
Berichte zu den RELab Demos:
ETH Summer School on Soft Robotics
Thank you very much for joining SSSR 2012 in Zurich! Recap
1st Swiss rtfMRI Neurofeedback Conference
A big thank you to all the speakers and over 150 participants! Recap
News
November 2012
Kaspar Leuenberger presents his PhD project at the ETH Tag.
April 2012
We welcome Frieder Wittman who joins us from the Technical University Munich.
March 2012
Mike Rinderknecht receives the 1st prize in the IEEE Region 8 Student Paper Contest
2012 Swiss Brain League research prize awarded to Silvio Ionta and Lukas Heydrich for work in collaboration with RELab.
RELab present at the BrainFair Zurich 2012.
February 2012
RELab hosts the 1st Swiss rtfMRI Neurofeedback Conference with over 150 participants.
September 2011
We welcome Auralius Manurung, who joins us from the Gyeongsang National University, South Korea.
July 2011
Marie-Christine Fluet receives the Best Poster Award at the 2011 International Conference on Rehabilitation Robotics (ICORR 2011)
June 2011
RELab featured on ETH Life
More news...
Recent advances in functional magnetic resonance imaging (fMRI) have let to online, whole brain measurement of brain activity, known as real-time fMRI. This procedure has been successfully implemented as biofeedback for self-regulation of neural activity in specified brain regions, occasionally with positive behavioral consequences. As such, real-time fMRI neurofeedback has shown its potential as a neurally-guided treatment for those with mental or neurological disorders. Our research explores the possible benefits of rtfMRI neurofeedback towards improving sensorimotor learning and control, particularly in those with neurological impairment such as stroke. We are currently examining whether control over dopaminergic regions of the brain corresponds to improved motor learning in both healthy participants and Parkinson's patients.
Schematic of rtfMRI neurofeedback. (right) fMRI scan of brain sends a single brain volume every sample period (top) to a server, where third party software examines the change in activity within a specified brain region and converts it into a value (left). The value is then translated into simple visual feedback (middle) so the participant can learn to self-regulate the activity in the desired brain region.
Contacts
Dr. James Sulzer
ETH Zurich
Rehabilitation Engineering Lab
LEO B9.2
8092 Zurich
jasulzer@ethz.ch
Collaborators
Prof. Dr. phil. Niels Birbaumer (University of Tuebingen)
Prof. Dr. med. Spyros Kollias (University Hospital Zurich)
Prof. Dr. med. Andreas Luft (University Hospital Zurich)
Prof. Dr. Ranganatha Sitaram (University of Florida and University of Tuebingen)
Financial Support
This project is funded by the Swiss National Science Foundation.
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