Evidence map›Paper›PMID 37830690›Full record

ReviewHealthcare (Basel, Switzerland)2023

Leveraging Motor Imagery Rehabilitation for Individuals with Disabilities: A Review.

Maram Fahaad Almufareh, Sumaira Kausar, Mamoona Humayun, Samabia Tehsin

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

4 authors at 2 institutions in 2 countries.

Maram Fahaad AlmufarehDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 72388, Saudi Arabia.ORCID 0000-0002-6613-0831
Sumaira KausarCenter of Excellence in Artificial Intelligence COE-AI, Department of CS, Bahria University, Islamabad 44000, Pakistan.
Mamoona HumayunDepartment of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 72388, Saudi Arabia.ORCID 0000-0001-6339-2257
Samabia TehsinCenter of Excellence in Artificial Intelligence COE-AI, Department of CS, Bahria University, Islamabad 44000, Pakistan.
Bahria University · PKJouf University · SA

Funding

King Salman center For Disability Research KSRG-2023-XXX
6 · The paper itself

Abstract

Motor imagery, an intricate cognitive procedure encompassing the mental simulation of motor actions, has surfaced as a potent strategy within the neuro-rehabilitation domain. It presents a non-invasive, economically viable method for facilitating individuals with disabilities in enhancing their motor functionality and regaining self-sufficiency. This manuscript delivers an exhaustive analysis of the significance of motor imagery in augmenting functional rehabilitation for individuals afflicted with physical impairments. It investigates the fundamental mechanisms governing motor imagery, its applications across diverse disability conditions, and the prospective advantages it renders. Moreover, this document addresses the prevailing obstacles and prospective trajectories in this sector, accentuating the necessity for continued investigation and the invention of cutting-edge technologies that optimize the potentiality of motor imagery in aiding disabled persons.

Indexed as

disabilitymotor imagerymotor skillsrehabilitation

Identifiers

PMID37830690
PMCPMC10572951
OpenAlexW4387187039

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.