Evidence map›Paper›PMID 27999362›Full record

ArticleBrain sciences2016

Body-Machine Interfaces after Spinal Cord Injury: Rehabilitation and Brain Plasticity.

Ismael Seáñez-González, Camilla Pierella, Ali Farshchiansadegh, Elias B Thorp, Xue Wang, Todd Parrish, Ferdinando A Mussa-Ivaldi

Abstract read
In one paragraph

Article in Brain sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Brain Plasticity in Patients with Spinal Cord Injuries: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Autoencoder-based myoelectric controller for prosthetic hands.Frontiers in bioengineering and biotechnology · 2023
    Article
  10. Learning to operate a high-dimensional hand via a low-dimensional controller.Frontiers in bioengineering and biotechnology · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Autonomy in Rehabilitation Robotics: An Intersection.Annual review of control, robotics, and autonomous systems · 2018
    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.

Ismael Seáñez-GonzálezDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. i-seanez@u.northwestern.edu.
Camilla PierellaSensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA. camilla.pierella@northwestern.edu.
Ali FarshchiansadeghDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. a-farshchiansadegh@northwestern.edu.
Elias B ThorpDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. EliasThorp@u.northwestern.edu.
Xue WangDepartment of Radiology, Northwestern University, Evanston, IL 60208, USA. xue-wang@northwestern.edu.
Todd ParrishDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. toddp@northwestern.edu.
Ferdinando A Mussa-IvaldiDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. sandro@northwestern.edu.

Funding

Motor Learning in a Customized Body-Machine Interface for Persons with ParalysisR01HD072080 · NICHD · REHABILITATION INSTITUTE OF CHICAGO D/B/A SHIRLEY RYAN ABILITYLAB · PI MUSSA-IVALDI, FERDINANDO ALESSANDRO · 2012 to 2016
$1.4M
Body-machine interfaces after spinal injury: rehabilitation and brain plasticityF31NS090877 · NINDS · NORTHWESTERN UNIVERSITY · PI SEANEZ, ISMAEL · 2014 to 2016
$73k
NICHD NIH HHS R01 HD072080NINDS NIH HHS F31 NS090877
6 · The paper itself

Abstract

The purpose of this study was to identify rehabilitative effects and changes in white matter microstructure in people with high-level spinal cord injury following bilateral upper-extremity motor skill training. Five subjects with high-level (C5-C6) spinal cord injury (SCI) performed five visuo-spatial motor training tasks over 12 sessions (2-3 sessions per week). Subjects controlled a two-dimensional cursor with bilateral simultaneous movements of the shoulders using a non-invasive inertial measurement unit-based body-machine interface. Subjects' upper-body ability was evaluated before the start, in the middle and a day after the completion of training. MR imaging data were acquired before the start and within two days of the completion of training. Subjects learned to use upper-body movements that survived the injury to control the body-machine interface and improved their performance with practice. Motor training increased Manual Muscle Test scores and the isometric force of subjects' shoulders and upper arms. Moreover, motor training increased fractional anisotropy (FA) values in the cingulum of the left hemisphere by 6.02% on average, indicating localized white matter microstructure changes induced by activity-dependent modulation of axon diameter, myelin thickness or axon number. This body-machine interface may serve as a platform to develop a new generation of assistive-rehabilitative devices that promote the use of, and that re-strengthen, the motor and sensory functions that survived the injury.

Indexed as

body-machine interfacediffusion tensor imagingmotor skill learningrehabilitationspinal cord injurywhite matter plasticity

Identifiers

PMID27999362
PMCPMC5187575

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.