Title |
Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study
|
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Published in |
Journal of NeuroEngineering and Rehabilitation, April 2014
|
DOI | 10.1186/1743-0003-11-53 |
Pubmed ID | |
Authors |
Silvia Del Din, Alessandra Bertoldo, Zimi Sawacha, Johanna Jonsdottir, Marco Rabuffetti, Claudio Cobelli, Maurizio Ferrarin |
Abstract |
The ability to walk independently is a primary goal for rehabilitation after stroke. Gait analysis provides a great amount of valuable information, while functional magnetic resonance imaging (fMRI) offers a powerful approach to define networks involved in motor control. The present study reports a new methodology based on both fMRI and gait analysis outcomes in order to investigate the ability of fMRI to reflect the phases of motor learning before/after electromyographic biofeedback treatment: the preliminary fMRI results of a post stroke subject's brain activation, during passive and active ankle dorsal/plantarflexion, before and after biofeedback (BFB) rehabilitation are reported and their correlation with gait analysis data investigated. |
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Demographic breakdown
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Student > Master | 16 | 13% |
Student > Doctoral Student | 16 | 13% |
Student > Bachelor | 15 | 12% |
Researcher | 10 | 8% |
Other | 27 | 22% |
Unknown | 16 | 13% |
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Psychology | 10 | 8% |
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Other | 30 | 24% |
Unknown | 25 | 20% |