Evidence map›Paper›PMID 26158523›Full record

ArticleScientific reports2015

Computing Arm Movements with a Monkey Brainet.

Arjun Ramakrishnan, Peter J Ifft, Miguel Pais-Vieira, Yoon Woo Byun, Katie Z Zhuang, Mikhail A Lebedev, Miguel A L Nicolelis

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. When Two Become One: Singular Duos and the Neuroethical Frontiers of Brain-to-Brain Interfaces.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Human Brain/Cloud Interface.Frontiers in neuroscience · 2019
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Cortical neurons multiplex reward-related signals along with sensory and motor information.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Interfacing to the brain's motor decisions.Journal of neurophysiology · 2017
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Arjun RamakrishnanDepartment of Neurobiology, Duke University, Durham, NC, USA.
Peter J IfftDuke University Center for Neuroengineering, Duke University, Durham, NC, USA.
Miguel Pais-VieiraDepartment of Neurobiology, Duke University, Durham, NC, USA.
Yoon Woo ByunDuke University Center for Neuroengineering, Duke University, Durham, NC, USA.
Katie Z ZhuangDuke University Center for Neuroengineering, Duke University, Durham, NC, USA.
Mikhail A LebedevDepartment of Neurobiology, Duke University, Durham, NC, USA.
Miguel A L NicolelisDepartment of Neurobiology, Duke University, Durham, NC, USA.

Funding

A Virtual Reality Simulator to Study VLSBA and Test Brain-Actuating TechnologiesDP1MH099903 · NIMH · DUKE UNIVERSITY · PI NICOLELIS, MIGUEL A. L. · 2012 to 2014
$2.3M
NCCDPHP CDC HHS DP1MH099903NIMH NIH HHS DP1 MH099903
6 · The paper itself

Abstract

Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to control the movements of artificial devices. Here, we introduce a Brainet that utilizes very-large-scale brain activity (VLSBA) from two (B2) or three (B3) nonhuman primates to engage in a common motor behaviour. A B2 generated 2D movements of an avatar arm where each monkey contributed equally to X and Y coordinates; or one monkey fully controlled the X-coordinate and the other controlled the Y-coordinate. A B3 produced arm movements in 3D space, while each monkey generated movements in 2D subspaces (X-Y, Y-Z, or X-Z). With long-term training we observed increased coordination of behavior, increased correlations in neuronal activity between different brains, and modifications to neuronal representation of the motor plan. Overall, performance of the Brainet improved owing to collective monkey behaviour. These results suggest that primate brains can be integrated into a Brainet, which self-adapts to achieve a common motor goal.

Indexed as

AnimalsArmBehavior, AnimalBrainBrain-Computer InterfacesElectrodes, ImplantedHaplorhiniMovementNeurons

Identifiers

PMID26158523
PMCPMC4497496

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.