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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

Mendeley readers

The data shown below were compiled from readership statistics for 138 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 135 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 18%
Student > Doctoral Student 17 12%
Student > Master 16 12%
Student > Bachelor 16 12%
Researcher 11 8%
Other 28 20%
Unknown 25 18%
Readers by discipline Count As %
Medicine and Dentistry 26 19%
Engineering 15 11%
Neuroscience 13 9%
Sports and Recreations 11 8%
Nursing and Health Professions 10 7%
Other 29 21%
Unknown 34 25%
Attention Score in Context

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
#20,228,193
of 22,753,345 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,137
of 1,278 outputs
Outputs of similar age
#194,900
of 228,038 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#26
of 27 outputs
Altmetric has tracked 22,753,345 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 1,278 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 228,038 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 27 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.