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A Brain-Machine Interface Instructed by Direct Intracortical Microstimulation

Overview of attention for article published in Frontiers in Integrative Neuroscience, September 2009
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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 (93rd percentile)

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279 Mendeley
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Title
A Brain-Machine Interface Instructed by Direct Intracortical Microstimulation
Published in
Frontiers in Integrative Neuroscience, September 2009
DOI 10.3389/neuro.07.020.2009
Pubmed ID
Authors

Joseph E. O'Doherty, Mikhail A. Lebedev, Timothy L. Hanson, Nathan A. Fitzsimmons, Miguel A. L. Nicolelis

Abstract

Brain-machine interfaces (BMIs) establish direct communication between the brain and artificial actuators. As such, they hold considerable promise for restoring mobility and communication in patients suffering from severe body paralysis. To achieve this end, future BMIs must also provide a means for delivering sensory signals from the actuators back to the brain. Prosthetic sensation is needed so that neuroprostheses can be better perceived and controlled. Here we show that a direct intracortical input can be added to a BMI to instruct rhesus monkeys in choosing the direction of reaching movements generated by the BMI. Somatosensory instructions were provided to two monkeys operating the BMI using either: (a) vibrotactile stimulation of the monkey's hands or (b) multi-channel intracortical microstimulation (ICMS) delivered to the primary somatosensory cortex (S1) in one monkey and posterior parietal cortex (PP) in the other. Stimulus delivery was contingent on the position of the computer cursor: the monkey placed it in the center of the screen to receive machine-brain recursive input. After 2 weeks of training, the same level of proficiency in utilizing somatosensory information was achieved with ICMS of S1 as with the stimulus delivered to the hand skin. ICMS of PP was not effective. These results indicate that direct, bi-directional communication between the brain and neuroprosthetic devices can be achieved through the combination of chronic multi-electrode recording and microstimulation of S1. We propose that in the future, bidirectional BMIs incorporating ICMS may become an effective paradigm for sensorizing neuroprosthetic devices.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 18 6%
Germany 4 1%
Spain 2 <1%
Sweden 2 <1%
Chile 1 <1%
Brazil 1 <1%
Israel 1 <1%
Portugal 1 <1%
China 1 <1%
Other 3 1%
Unknown 245 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 27%
Researcher 54 19%
Student > Bachelor 29 10%
Student > Master 26 9%
Professor 19 7%
Other 54 19%
Unknown 21 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 28%
Engineering 70 25%
Neuroscience 40 14%
Medicine and Dentistry 17 6%
Psychology 15 5%
Other 30 11%
Unknown 28 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 13 October 2018.
All research outputs
#2,062,456
of 25,371,288 outputs
Outputs from Frontiers in Integrative Neuroscience
#110
of 913 outputs
Outputs of similar age
#6,363
of 102,316 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#4
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 913 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 87% 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 102,316 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 93% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.