Evidence map›Paper›PMID 29375337›Full record

ArticleFrontiers in human neuroscience2017

Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms.

Mads Jochumsen, Cecilie Rovsing, Helene Rovsing, Sylvain Cremoux, Nada Signal, Kathryn Allen, Denise Taylor, Imran K Niazi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

8 authors at 4 institutions in 3 countries.

Mads JochumsenSMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Cecilie RovsingSMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Helene RovsingSMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Sylvain CremouxLAMIH, UMR Centre National de la Recherche Scientifique 8201, Université de Valenciennes et du Hainaut-Cambrésis, Valenciennes, France.
Nada SignalHealth and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand.
Kathryn AllenCenter for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand.
Denise TaylorHealth and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand.
Imran K NiaziSMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Aalborg University · DKAuckland University of Technology · NZLaboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines · FRNew Zealand College of Chiropractic · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to learn motor tasks is important in both healthy and pathological conditions. Measurement tools commonly used to quantify the neurophysiological changes associated with motor training such as transcranial magnetic stimulation and functional magnetic resonance imaging pose some challenges, including safety concerns, utility, and cost. EEG offers an attractive alternative as a quantification tool. Different EEG phenomena, movement-related cortical potentials (MRCPs) and sensorimotor rhythms (event-related desynchronization-ERD, and event-related synchronization-ERS), have been shown to change with motor training, but conflicting results have been reported. The aim of this study was to investigate how the EEG correlates (MRCP and ERD/ERS) from the motor cortex are modulated by short (single session in 14 subjects) and long (six sessions in 18 subjects) motor training. Ninety palmar grasps were performed before and after 1 × 45 (or 6 × 45) min of motor training with the non-dominant hand (laparoscopic surgery simulation). Four channels of EEG were recorded continuously during the experiments. The MRCP and ERD/ERS from the alpha/mu and beta bands were calculated and compared before and after the training. An increase in the MRCP amplitude was observed after a single session of training, and a decrease was observed after six sessions. For the ERD/ERS analysis, a significant change was observed only after the single training session in the beta ERD. In conclusion, the MRCP and ERD change as a result of motor training, but they are subject to a marked intra- and inter-subject variability.

Indexed as

EEGERD/ERSgraspmotor trainingmovement-related cortical potentials

Identifiers

PMID29375337
PMCPMC5770657
OpenAlexW2774635161

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.