Evidence map›Paper›PMID 37583648›Full record

ArticleFrontiers in neurorobotics2023

Re-learning mental representation of walking after a brain lesion. Effects of a cognitive-motor training with a robotic orthosis.

Maria-Chiara Villa, Giuliano C Geminiani, Marina Zettin, Alessandro Cicerale, Irene Ronga, Sergio Duca, Katiuscia Sacco

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Metaverse-Related and Immersive Digital Technologies in Neurorehabilitation: A Scoping Review.Archives of rehabilitation research and clinical translation · 2026
    Review
  3. 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

7 authors.

Maria-Chiara VillaBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
Giuliano C GeminianiBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
Marina ZettinBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
Alessandro CiceraleBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
Irene RongaBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
Sergio DucaDepartment of Environment, Land and Infrastructure Engineering (DIATI), Polytechnic of Turin, Turin, Italy.
Katiuscia SaccoBraIn Plasticity and Behavior Changes (BIP) at Department of Psychology and Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke-related deficits often include motor impairments and gait dysfunction, leading to a limitation of social activities and consequently affecting the quality of life of stroke survivors. Neurorehabilitation takes advantage of the contribution of different techniques in order to achieve more benefits for patients. Robotic devices help to improve the outcomes of physical rehabilitation. Moreover, motor imagery seems to play a role in neurological rehabilitation since it leads to the activation of the same brain areas as actual movements. This study investigates the use of a combined physical and cognitive protocol for gait rehabilitation in stroke patients. Methods: Specifically, we tested the efficacy of a 5-week training program using a robotic orthosis (P.I.G.R.O.) in conjunction with motor imagery training. Twelve chronic stroke patients participated in the study. We evaluated balance and gait performance before and after the training. Six of them underwent fMRI examination before and after the training to assess the effects of the protocol on brain plasticity mechanisms in motor and imagery tasks. Results: Our results show that the rehabilitation protocol can effectively improve gait performance and balance and reduce the risk of falls in stroke patients. Furthermore, the fMRI results suggest that rehabilitation is associated with cerebral plastic changes in motor networks. Discussion: The present findings, if confirmed by future research, have the potential to advance the development of new, more effective rehabilitation approaches for stroke patients, improving their quality of life and reducing the burden of stroke-related disability.

Indexed as

cognitive trainingfunctional magnetic resonance imaging (fMRI)rehabilitationrobotic orthosisstrokewalking

Identifiers

PMID37583648
PMCPMC10425221

What OpenQuestion holds

Textmetadata
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.