Evidence map›Paper›PMID 29998936›Full record

Trial reportNeurologia medico-chirurgica2018

MEG-BMI to Control Phantom Limb Pain.

Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Takeshi Shimizu, Hiroshi Yokoi, Masayuki Hirata, Toshiki Yoshimine, Yukiyasu Kamitani and 1 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Neurologia medico-chirurgica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  6. Review
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

11 authors at 4 institutions in 2 countries.

Takufumi YanagisawaDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Ryohei FukumaDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Ben SeymourComputational and Biological Learning Laboratory, Department of Engineering, University of Cambridge.
Koichi HosomiDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Haruhiko KishimaDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Takeshi ShimizuDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Hiroshi YokoiDepartment of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications.
Masayuki HirataDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Toshiki YoshimineDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Yukiyasu KamitaniDepartment of Neuroinformatics, ATR Computational Neuroscience Laboratories.
Youichi SaitohDepartment of Neurosurgery, Osaka University Graduate School of Medicine.
Osaka University · JPKyoto University · JPUniversity of Cambridge · GBUniversity of Electro-Communications · JP

Funding

Versus Arthritis 21537Wellcome Trust
6 · The paper itself

Abstract

A brachial plexus root avulsion (BPRA) causes intractable pain in the insensible affected hands. Such pain is partly due to phantom limb pain, which is neuropathic pain occurring after the amputation of a limb and partial or complete deafferentation. Previous studies suggested that the pain was attributable to maladaptive plasticity of the sensorimotor cortex. However, there is little evidence to demonstrate the causal links between the pain and the cortical representation, and how much cortical factors affect the pain. Here, we applied lesioning of the dorsal root entry zone (DREZotomy) and training with a brain-machine interface (BMI) based on real-time magnetoencephalography signals to reconstruct affected hand movements with a robotic hand. The DREZotomy successfully reduced the shooting pain after BPRA, but a part of the pain remained. The BMI training successfully induced some plastic changes in the sensorimotor representation of the phantom hand movements and helped control the remaining pain. When the patient tried to control the robotic hand by moving their phantom hand through association with the representation of the intact hand, this especially decreased the pain while decreasing the classification accuracy of the phantom hand movements. These results strongly suggested that pain after the BPRA was partly attributable to cortical representation of phantom hand movements and that the BMI training controlled the pain by inducing appropriate cortical reorganization. For the treatment of chronic pain, we need to know how to modulate the cortical representation by novel methods.

Indexed as

Brain-Computer InterfacesHandRhizotomyRoboticsAdultCross-Over StudiesFemaleHumansMagnetoencephalographyMaleMiddle AgedPhantom LimbSpinal Nerve Rootscortical plasticitymagnetoencephalographyneurofeedbackphantom limb painrobotic hand

Identifiers

PMID29998936
PMCPMC6092605
OpenAlexW2845652812

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.