Report for: Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study

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Title	Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study
Published in	Journal of NeuroEngineering and Rehabilitation, April 2014
DOI	10.1186/1743-0003-11-53
Pubmed ID	24716475
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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Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
United Kingdom	1	<1%
United States	1	<1%
Belgium	1	<1%
Unknown	122	98%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	25	20%
Student > Master	16	13%
Student > Doctoral Student	16	13%
Student > Bachelor	15	12%
Researcher	10	8%
Other	27	22%
Unknown	16	13%

Readers by discipline	Count	As %
Medicine and Dentistry	23	18%
Engineering	15	12%
Neuroscience	12	10%
Psychology	10	8%
Nursing and Health Professions	10	8%
Other	30	24%
Unknown	25	20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 December 2014.

All research outputs

#14,296,075

of 16,208,238 outputs

Outputs from Journal of NeuroEngineering and Rehabilitation

#836

of 989 outputs

Outputs of similar age

#161,696

of 193,803 outputs

Outputs of similar age from Journal of NeuroEngineering and Rehabilitation

#25

of 25 outputs

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So far Altmetric has tracked 989 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.

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Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study

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Geographical breakdown

Demographic breakdown

Attention Score in Context