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Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation

Overview of attention for article published in Frontiers in Human Neuroscience, March 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

news
1 news outlet

Citations

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108 Dimensions

Readers on

mendeley
267 Mendeley
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1 CiteULike
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Title
Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation
Published in
Frontiers in Human Neuroscience, March 2014
DOI 10.3389/fnhum.2014.00122
Pubmed ID
Authors

Alireza Gharabaghi, Dominic Kraus, Maria T. Leão, Martin Spüler, Armin Walter, Martin Bogdan, Wolfgang Rosenstiel, Georgios Naros, Ulf Ziemann

Abstract

Motor recovery after stroke is an unsolved challenge despite intensive rehabilitation training programs. Brain stimulation techniques have been explored in addition to traditional rehabilitation training to increase the excitability of the stimulated motor cortex. This modulation of cortical excitability augments the response to afferent input during motor exercises, thereby enhancing skilled motor learning by long-term potentiation-like plasticity. Recent approaches examined brain stimulation applied concurrently with voluntary movements to induce more specific use-dependent neural plasticity during motor training for neurorehabilitation. Unfortunately, such approaches are not applicable for the many severely affected stroke patients lacking residual hand function. These patients require novel activity-dependent stimulation paradigms based on intrinsic brain activity. Here, we report on such brain state-dependent stimulation (BSDS) combined with haptic feedback provided by a robotic hand orthosis. Transcranial magnetic stimulation (TMS) of the motor cortex and haptic feedback to the hand were controlled by sensorimotor desynchronization during motor-imagery and applied within a brain-machine interface (BMI) environment in one healthy subject and one patient with severe hand paresis in the chronic phase after stroke. BSDS significantly increased the excitability of the stimulated motor cortex in both healthy and post-stroke conditions, an effect not observed in non-BSDS protocols. This feasibility study suggests that closing the loop between intrinsic brain state, cortical stimulation and haptic feedback provides a novel neurorehabilitation strategy for stroke patients lacking residual hand function, a proposal that warrants further investigation in a larger cohort of stroke patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
Hungary 1 <1%
Hong Kong 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 259 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 20%
Researcher 45 17%
Student > Master 44 16%
Student > Bachelor 24 9%
Student > Postgraduate 11 4%
Other 35 13%
Unknown 54 20%
Readers by discipline Count As %
Engineering 44 16%
Neuroscience 44 16%
Medicine and Dentistry 29 11%
Psychology 19 7%
Agricultural and Biological Sciences 17 6%
Other 42 16%
Unknown 72 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 May 2014.
All research outputs
#4,164,909
of 22,755,127 outputs
Outputs from Frontiers in Human Neuroscience
#1,964
of 7,138 outputs
Outputs of similar age
#41,724
of 221,304 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#45
of 93 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 221,304 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.