DiSCIoser: Improving Arm Sensorimotor Functions After Spinal Cord Injury Via Brain-Computer Interface Training

NCT ID: NCT05637775

Last Updated: 2025-09-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-11-15

Study Completion Date

2025-06-30

Brief Summary

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The goal of this clinical trial is to validate the efficacy of a Brain-Computer Interface (BCI)-based intervention for hand motor recovery in subacute cervical spinal cord injured (SCI) patients during rehabilitation. The study will provide evidence for the clinical/neurophysiological efficacy of the BCI intervention as a means to promote cortical sensorimotor plasticity (remote plasticity) and thus maximize recovery of arm functions in subacute cervical SCI. Participants will undergo an extensive clinical, neurophysiological, neuropsychological and neuroimaging assessment before and after a BCI training based on motor Imagery (MI) of hands. The intervention will be delivered with a system that was originally validated for stroke patients and adapted to the aims of this study. Researchers will compare the BCI intervention with an active MI training without BCI support (active comparator).

Detailed Description

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Despite its relatively low incidence SCI represents a devastating chronic condition for which there is still no cure or consistent approach for intervention. Cervical SCI tremendously affects the quality of life since the use of the upper extremities is critical for completing basic activities of daily living. Extensive research conducted on SCI animal models and humans has revealed that cortical and subcortical reorganization (ie., remote plasticity) takes place after SCI and it is associated with recovery of sensorimotor function (in humans the relevance of these aspect has been mainly emphasised in incomplete SCI). Current rehabilitation after traumatic SCI mainly consists of intensive training of lost/impaired function that is assumed to augment activity-dependent plasticity of spared circuits and thus, leading to functional improvements. Recently, neuromodulatory interventions targeting the sensorimotor systems at various levels has been applied in humans with SCI in combination with training to enhance functional recovery. Neurological rehabilitation of SCI can also benefit of cognitive training based on MI, that enables active stimulation of brain motor areas promoting brain plasticity associated with positive effects on motor performance. In the effort of encouraging the top-down contribution of supraspinal sensorimotor signaling in SCI rehabilitation, the BCI technology may provide for fundamental tools not only for restoring but even recovering sensorimotor function. The long history of BCI research in SCIs has been substantially devoted to develop systems to control external devices to restore function. However, recent findings indicate that non invasive BCI training in combination with intensive rehabilitation can be beneficial to chronic SCI patients for gait, as well as arm function recovery. The current study relies on the hypothesis that monitoring and modulating brain plasticity occurring as a consequence of a SCI is a key factor in shaping clinically valuable top-down rehabilitation strategies that target the recovery of sensorimotor function in patients with SCI. To ground such vision, the researchers will use a goal-oriented action imagery training which is controlled and objectified by a BCI as a means to engage sensorimotor system and thus to facilitate neuroplasticity and optimize functional recovery in SCI during the subacute phase in which brain and spinal plasticity is at its climax.

In this study researchers will test the superiority of a BCI-assisted MI training (up to 12 weeks duration) with respect to MI practiced without BCI feedback (similar training setting and duration) to promote recovery of sensorimotor functions in traumatic cervical SCI subjects. The main hypothesis is that establishing a real-time contingency between the content of MI and an ecological feedback specifically designed to train MI in SCI patients will boost the effect of MI training in engaging the sensorimotor system. Primary and secondary outcome measures (reported in the dedicated section) include the most commonly used clinical and functional scales to assess SCI patients recovery. Neurophysiological and Neuroimaging outcomes are reported as other outcome measures in the dedicated session. Neuropsychological evaluation will include Test of Attentional Performance (TAP), Stroop Test, Trail Making Test (TMT), assessment of depression and anxiety; body ownership and representation. Furthermore, motivation, satisfaction, workload and usability will be evaluated along training.

Conditions

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Spinal Cord Injuries Motor Disorders

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Eligible subacute cervical SCI patients admitted to Fondazione Santa Lucia Hospital for standard rehabilitation care will be randomized in equal proportions (1:1 ratio) between BCI-assisted MI training- EXP) and Control (MI without BCI - CTRL).
Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Outcome Assessors
Outcome assessors performing clinical evaluation and data analysts will be blinded to patient allocation.

Study Groups

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EXP - BCI

(EEG-)BCI- assisted MI training delivered as add-on regimen (Standard physiotherapy-3 h/day, 5 day/week).

Group Type EXPERIMENTAL

EEG-based BCI system for (hands) Motor Imagery training

Intervention Type OTHER

For the purposes of this study we adapted an available BCI-supported motor imagery (MI) training station, equipped with a computer, a commercial wireless Electroencephalography (EEG)/ Electromyography (EMG) system, a screen for therapist feedback and a screen for the real-time ecological feedback to patient - a custom software program that provides a for (personalized) visual representation of the patient's own hands. This software allows the therapists to create an artificial reproduction of patient's hands/forearms by adjusting a digitally created image in shape, size, skin colour and orientation to match as much as possible the real patient hands/forearms. Training consists of the MI tasks of both hands, grasping or finger extension in separate runs. The trial length will include a constant baseline period of 4 sec and a task period of maximally 10 sec for BCI intervention group. Each training session will consist of 4 runs (20 trials each).

CTRL - MI

MI training delivered as add-on regimen (Standard physiotherapy-3 h/day, 5 day/week).

Group Type ACTIVE_COMPARATOR

Control - MI intervention

Intervention Type OTHER

Training consists of MI tasks of both hands, grasping or finger extension in separate runs. MI training will be delivered with a dose/setting regimen equivalent to EXP intervention. The trial length will include a constant baseline period of 4 sec and a task period of maximally 4 sec. Each training session will consist of 4 runs (20 trials each).

Interventions

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EEG-based BCI system for (hands) Motor Imagery training

For the purposes of this study we adapted an available BCI-supported motor imagery (MI) training station, equipped with a computer, a commercial wireless Electroencephalography (EEG)/ Electromyography (EMG) system, a screen for therapist feedback and a screen for the real-time ecological feedback to patient - a custom software program that provides a for (personalized) visual representation of the patient's own hands. This software allows the therapists to create an artificial reproduction of patient's hands/forearms by adjusting a digitally created image in shape, size, skin colour and orientation to match as much as possible the real patient hands/forearms. Training consists of the MI tasks of both hands, grasping or finger extension in separate runs. The trial length will include a constant baseline period of 4 sec and a task period of maximally 10 sec for BCI intervention group. Each training session will consist of 4 runs (20 trials each).

Intervention Type OTHER

Control - MI intervention

Training consists of MI tasks of both hands, grasping or finger extension in separate runs. MI training will be delivered with a dose/setting regimen equivalent to EXP intervention. The trial length will include a constant baseline period of 4 sec and a task period of maximally 4 sec. Each training session will consist of 4 runs (20 trials each).

Intervention Type OTHER

Other Intervention Names

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BCI - EXP MI - CTRL

Eligibility Criteria

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Inclusion Criteria

* subacute cervical SCI (30-90 days from event)
* classification according to ISNCSCI AIS A-D, lesion level C1-T1
* Upper Extremity Motor Score (UEMS) \< 40

Exclusion Criteria

* other conditions (present or previous) potentially affecting sensorimotor upper limb function
* inability to give informed consent and understand the requirements for the training
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Roma La Sapienza

OTHER

Sponsor Role collaborator

I.R.C.C.S. Fondazione Santa Lucia

OTHER

Sponsor Role lead

Responsible Party

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Donatella Mattia

Professor, Laboratory Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Donatella Mattia, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Fondazione Santa Lucia, IRCCS

Giorgio Scivoletto, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Fondazione Santa Lucia, IRCCS

Febo Cincotti, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Roma La Sapienza

Locations

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Neurorehabilitation Units- Fondazione Santa Lucia, IRCCS

Rome, Italy, Italy

Site Status

Countries

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Italy

References

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Pichiorri F, Morone G, Petti M, Toppi J, Pisotta I, Molinari M, Paolucci S, Inghilleri M, Astolfi L, Cincotti F, Mattia D. Brain-computer interface boosts motor imagery practice during stroke recovery. Ann Neurol. 2015 May;77(5):851-65. doi: 10.1002/ana.24390. Epub 2015 Mar 27.

Reference Type BACKGROUND
PMID: 25712802 (View on PubMed)

Donati AR, Shokur S, Morya E, Campos DS, Moioli RC, Gitti CM, Augusto PB, Tripodi S, Pires CG, Pereira GA, Brasil FL, Gallo S, Lin AA, Takigami AK, Aratanha MA, Joshi S, Bleuler H, Cheng G, Rudolph A, Nicolelis MA. Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients. Sci Rep. 2016 Aug 11;6:30383. doi: 10.1038/srep30383.

Reference Type BACKGROUND
PMID: 27513629 (View on PubMed)

Brown AR, Martinez M. From cortex to cord: motor circuit plasticity after spinal cord injury. Neural Regen Res. 2019 Dec;14(12):2054-2062. doi: 10.4103/1673-5374.262572.

Reference Type BACKGROUND
PMID: 31397332 (View on PubMed)

Mattia D, Pichiorri F, Colamarino E, Masciullo M, Morone G, Toppi J, Pisotta I, Tamburella F, Lorusso M, Paolucci S, Puopolo M, Cincotti F, Molinari M. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial to test early and long-term efficacy and to identify determinants of response. BMC Neurol. 2020 Jun 27;20(1):254. doi: 10.1186/s12883-020-01826-w.

Reference Type BACKGROUND
PMID: 32593293 (View on PubMed)

Colamarino E, Lorusso M, Pichiorri F, Toppi J, Tamburella F, Serratore G, Riccio A, Tomaiuolo F, Bigioni A, Giove F, Scivoletto G, Cincotti F, Mattia D. 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. BMC Neurol. 2023 Nov 21;23(1):414. doi: 10.1186/s12883-023-03442-w.

Reference Type DERIVED
PMID: 37990160 (View on PubMed)

Other Identifiers

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RF-2019-12369396

Identifier Type: -

Identifier Source: org_study_id

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