Evidence map›Paper›PMID 37990160›Full record

Trial reportBMC neurology2023

DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy.

Emma Colamarino, Matteo Lorusso, Floriana Pichiorri, Jlenia Toppi, Federica Tamburella, Giada Serratore, Angela Riccio, Francesco Tomaiuolo, Alessandra Bigioni, Federico Giove and 3 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05637775 (DiSCIoser), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 5% 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.

NCT05637775 nacompletednot on this map

DiSCIoser: Unlocking Recovery Potential of Arm Sensorimotor Functions After Spinal Cord Injury by Promoting Activity-dependent Brain Plasticity and Modeling the Causal Relationship Between Brain Plasticity and Recovery of Function

TypeinterventionalSponsorI.R.C.C.S. Fondazione Santa LuciaRan2022 to 2025Enrolled30ConditionsSpinal Cord Injuries, Motor DisordersArmsEEG-based BCI system for (hands) Motor Imagery training, Control - MI intervention
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    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

13 authors at 3 institutions in 1 country.

Emma ColamarinoDepartment of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy. emma.colamarino@uniroma1.it.
Matteo LorussoIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Floriana PichiorriIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Jlenia ToppiDepartment of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy.
Federica TamburellaIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Giada SerratoreIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Angela RiccioIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Francesco TomaiuoloDepartment of Clinical and Experimental Medicine, University of Messina, Piazza Pugliatti, 1, 98122, Messina, Italy.
Alessandra BigioniIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Federico GioveIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Giorgio ScivolettoIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Febo CincottiDepartment of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Via Ariosto, 25, 00185, Rome, Italy.
Donatella MattiaIRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy.
Fondazione Santa Lucia · ITSapienza University of Rome · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic cervical spinal cord injury (SCI) results in reduced sensorimotor abilities that strongly impact on the achievement of daily living activities involving hand/arm function. Among several technology-based rehabilitative approaches, Brain-Computer Interfaces (BCIs) which enable the modulation of electroencephalographic sensorimotor rhythms, are promising tools to promote the recovery of hand function after SCI. The "DiSCIoser" study proposes a BCI-supported motor imagery (MI) training to engage the sensorimotor system and thus facilitate the neuroplasticity to eventually optimize upper limb sensorimotor functional recovery in patients with SCI during the subacute phase, at the peak of brain and spinal plasticity. To this purpose, we have designed a BCI system fully compatible with a clinical setting whose efficacy in improving hand sensorimotor function outcomes in patients with traumatic cervical SCI will be assessed and compared to the hand MI training not supported by BCI.

methodsThis randomized controlled trial will include 30 participants with traumatic cervical SCI in the subacute phase randomly assigned to 2 intervention groups: the BCI-assisted hand MI training and the hand MI training not supported by BCI. Both interventions are delivered (3 weekly sessions; 12 weeks) as add-on to standard rehabilitation care. A multidimensional assessment will be performed at: randomization/pre-intervention and post-intervention. Primary outcome measure is the Graded Redefined Assessment of Strength, Sensibility and Prehension (GRASSP) somatosensory sub-score. Secondary outcome measures include the motor and functional scores of the GRASSP and other clinical, neuropsychological, neurophysiological and neuroimaging measures. DISCUSSION: We expect the BCI-based intervention to promote meaningful cortical sensorimotor plasticity and eventually maximize recovery of arm functions in traumatic cervical subacute SCI. This study will generate a body of knowledge that is fundamental to drive optimization of BCI application in SCI as a top-down therapeutic intervention, thus beyond the canonical use of BCI as assistive tool.

trial registrationName of registry: DiSCIoser: improving arm sensorimotor functions after spinal cord injury via brain-computer interface training (DiSCIoser). TRIAL REGISTRATION NUMBER: NCT05637775; registration date on the ClinicalTrial.gov platform: 05-12-2022.

Indexed as

Brain-Computer InterfacesSpinal Cord InjuriesArmHumansNeuronal PlasticityRecovery of FunctionUpper ExtremityBrain plasticityEEG-based Brain-Computer InterfaceHand functional sensorimotor recoveryMotor imageryNeurorehabilitationSpinal cord injury

Identifiers

PMID37990160
PMCPMC10662594
OpenAlexW4388864046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.