Evidence map›Paper›PMID 30050405›Full record

ArticleFrontiers in neuroscience2018

Training in Use of Brain-Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements.

Ryohei Fukuma, Takufumi Yanagisawa, Hiroshi Yokoi, Masayuki Hirata, Toshiki Yoshimine, Youichi Saitoh, Yukiyasu Kamitani, Haruhiko Kishima

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Evaluation of movement and brain activity.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Review
  7. Article
  8. Article
  9. 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

8 authors.

Ryohei FukumaDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.
Takufumi YanagisawaDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.
Hiroshi YokoiDepartment of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan.
Masayuki HirataDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.
Toshiki YoshimineDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.
Youichi SaitohDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.
Yukiyasu KamitaniDepartment of Neuroinformatics, ATR Computational Neuroscience Laboratories, Seika-cho, Japan.
Haruhiko KishimaDepartment of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain-machine interfaceclosed-loop trainingcortical plasticitymagnetoencephalographyneurofeedbackonline decodingrobotic hand

Identifiers

PMID30050405
PMCPMC6050372

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.