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Restoring cortical control of functional movement in a human with quadriplegia

Overview of attention for article published in Nature, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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190 Dimensions

Readers on

mendeley
686 Mendeley
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2 CiteULike
Title
Restoring cortical control of functional movement in a human with quadriplegia
Published in
Nature, April 2016
DOI 10.1038/nature17435
Pubmed ID
Authors

Chad E. Bouton, Ammar Shaikhouni, Nicholas V. Annetta, Marcia A. Bockbrader, David A. Friedenberg, Dylan M. Nielson, Gaurav Sharma, Per B. Sederberg, Bradley C. Glenn, W. Jerry Mysiw, Austin G. Morgan, Milind Deogaonkar, Ali R. Rezai

Abstract

Millions of people worldwide suffer from diseases that lead to paralysis through disruption of signal pathways between the brain and the muscles. Neuroprosthetic devices are designed to restore lost function and could be used to form an electronic 'neural bypass' to circumvent disconnected pathways in the nervous system. It has previously been shown that intracortically recorded signals can be decoded to extract information related to motion, allowing non-human primates and paralysed humans to control computers and robotic arms through imagined movements. In non-human primates, these types of signal have also been used to drive activation of chemically paralysed arm muscles. Here we show that intracortically recorded signals can be linked in real-time to muscle activation to restore movement in a paralysed human. We used a chronically implanted intracortical microelectrode array to record multiunit activity from the motor cortex in a study participant with quadriplegia from cervical spinal cord injury. We applied machine-learning algorithms to decode the neuronal activity and control activation of the participant's forearm muscles through a custom-built high-resolution neuromuscular electrical stimulation system. The system provided isolated finger movements and the participant achieved continuous cortical control of six different wrist and hand motions. Furthermore, he was able to use the system to complete functional tasks relevant to daily living. Clinical assessment showed that, when using the system, his motor impairment improved from the fifth to the sixth cervical (C5-C6) to the seventh cervical to first thoracic (C7-T1) level unilaterally, conferring on him the critical abilities to grasp, manipulate, and release objects. This is the first demonstration to our knowledge of successful control of muscle activation using intracortically recorded signals in a paralysed human. These results have significant implications in advancing neuroprosthetic technology for people worldwide living with the effects of paralysis.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 686 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 3%
United Kingdom 7 1%
Spain 3 <1%
Switzerland 2 <1%
Germany 2 <1%
Singapore 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
Ireland 1 <1%
Other 8 1%
Unknown 638 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 194 28%
Researcher 140 20%
Student > Master 74 11%
Student > Bachelor 69 10%
Unspecified 42 6%
Other 167 24%
Readers by discipline Count As %
Engineering 177 26%
Neuroscience 128 19%
Agricultural and Biological Sciences 86 13%
Medicine and Dentistry 81 12%
Unspecified 71 10%
Other 143 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2428. 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 01 October 2018.
All research outputs
#389
of 12,528,744 outputs
Outputs from Nature
#70
of 65,149 outputs
Outputs of similar age
#16
of 264,866 outputs
Outputs of similar age from Nature
#4
of 1,006 outputs
Altmetric has tracked 12,528,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 65,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 73.2. This one has done particularly well, scoring higher than 99% 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 264,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,006 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.