Evidence map›Paper›PMID 38433230›Full record

ArticleScientific reports2024

Motor imagery ability scores are related to cortical activation during gait imagery.

Martina Putzolu, Jessica Samogin, Gaia Bonassi, Carola Cosentino, Susanna Mezzarobba, Alessandro Botta, Laura Avanzino, Dante Mantini, Alessandro Vato, Elisa Pelosin

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Martina PutzoluDepartment of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, Genoa, Italy.
Jessica SamoginMovement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium.
Gaia BonassiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy.
Carola CosentinoDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy.
Susanna MezzarobbaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy.
Alessandro BottaIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Laura AvanzinoDepartment of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, Genoa, Italy.
Dante MantiniMovement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium.
Alessandro VatoDepartment of Biomedical Engineering, The Catholic University of America, Washington, DC, USA. vato@cua.edu.
Elisa PelosinDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy.

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Theresa M. Vaughan · 2014 to 2026
$15.4M
NIBIB NIH HHS P41 EB018783
6 · The paper itself

Abstract

Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. To this goal, brain activity was recorded using high-density electroencephalography in nineteen healthy adults while visually imagining walking on a straight path. We extracted Event-Related Desynchronizations (ERDs) in the θ, α, and β band, and we measured MI ability via (i) the Kinesthetic and Visual Imagery Questionnaire (KVIQ), (ii) the Vividness of Movement Imagery Questionnaire-2 (VMIQ), and (iii) the Imagery Ability (IA) score. We then used Pearson's and Spearman's coefficients to correlate MI ability scores and average ERD power (avgERD). Positive correlations were identified between VMIQ and avgERD of the middle cingulum in the β band and with avgERD of the left insula, right precentral area, and right middle occipital region in the θ band. Stronger activation of the MI network was related to better scores of MI ability evaluations, supporting the importance of testing MI ability during MI protocols. This result will help to understand MI mechanisms and develop personalized MI treatments for patients with neurological dysfunctions.

Indexed as

GaitGastropodaAdultAnimalsBrainCell MembraneElectroencephalographyHumansWalkingElectroencephalography (EEG)Event-related desynchronization (ERD)GaitMotor imageryMotor imagery ability

Identifiers

PMID38433230
PMCPMC10909887

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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.