Evidence map›Paper›PMID 25221505›Full record

ArticleFrontiers in neuroengineering2014

Movement-related cortical potentials in paraplegic patients: abnormal patterns and considerations for BCI-rehabilitation.

Ren Xu, Ning Jiang, Aleksandra Vuckovic, Muhammad Hasan, Natalie Mrachacz-Kersting, David Allan, Matthew Fraser, Bahman Nasseroleslami, Bernie Conway, Kim Dremstrup and 1 more

Abstract read
In one paragraph

Article in Frontiers in neuroengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  5. Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025
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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.

Ren XuDepartment of Neurorehabilitation Engineering, University Medical Center Goettingen Goettingen, Germany ; Institute of Computer Science, Georg-August University Goettingen, Germany.
Ning JiangDepartment of Neurorehabilitation Engineering, University Medical Center Goettingen Goettingen, Germany.
Aleksandra VuckovicSchool of Engineering, University of Glasgow Glasgow, UK.
Muhammad HasanSchool of Engineering, University of Glasgow Glasgow, UK ; Department of Biomedical Engineering, NED University of Engineering and Technology Karachi, Pakistan.
Natalie Mrachacz-KerstingCenter for Sensory-Motor Interaction, Aalborg University Aalborg, Denmark.
David AllanQueen Elizabeth National Spinal Injury Unit, Southern General Hospital Glasgow, UK.
Matthew FraserQueen Elizabeth National Spinal Injury Unit, Southern General Hospital Glasgow, UK.
Bahman NasseroleslamiDepartment of Biomedical Engineering, University of Strathclyde Glasgow, UK ; Academic Unit of Neurology, Trinity College Dublin Dublin, Ireland.
Bernie ConwayDepartment of Biomedical Engineering, University of Strathclyde Glasgow, UK.
Kim DremstrupCenter for Sensory-Motor Interaction, Aalborg University Aalborg, Denmark.
Dario FarinaDepartment of Neurorehabilitation Engineering, University Medical Center Goettingen Goettingen, Germany.

Funding

Medical Research Council G0902257
6 · The paper itself

Abstract

Non-invasive EEG-based Brain-Computer Interfaces (BCI) can be promising for the motor neuro-rehabilitation of paraplegic patients. However, this shall require detailed knowledge of the abnormalities in the EEG signatures of paraplegic patients. The association of abnormalities in different subgroups of patients and their relation to the sensorimotor integration are relevant for the design, implementation and use of BCI systems in patient populations. This study explores the patterns of abnormalities of movement related cortical potentials (MRCP) during motor imagery tasks of feet and right hand in patients with paraplegia (including the subgroups with/without central neuropathic pain (CNP) and complete/incomplete injury patients) and the level of distinctiveness of abnormalities in these groups using pattern classification. The most notable observed abnormalities were the amplified execution negativity and its slower rebound in the patient group. The potential underlying mechanisms behind these changes and other minor dissimilarities in patients' subgroups, as well as the relevance to BCI applications, are discussed. The findings are of interest from a neurological perspective as well as for BCI-assisted neuro-rehabilitation and therapy.

Indexed as

BCIcentral neuropathic painEEGmovement related cortical potentialsspinal cord injury

Identifiers

PMID25221505
PMCPMC4145578

What OpenQuestion holds

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Registered trials

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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.