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

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, April 2014
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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
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.

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
Altmetric has tracked 16,208,238 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 193,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.