BCI Driving FES and Hand Orthosis for Upper Limb Rehabilitation in Chronic Stroke
NCT ID: NCT06179745
Last Updated: 2023-12-22
Study Results
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Basic Information
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RECRUITING
NA
32 participants
INTERVENTIONAL
2022-03-14
2025-03-31
Brief Summary
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Detailed Description
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The BCI detects sensorimotor rhythms (SMRs) associated with the motor intent of the corresponding attempted movements.
In the study group, only when BCI detects sensorimotor rhythms (SMRs) associated with motor intent, the assistive devices are triggered.
In the control group the assistive devices are triggered randomly (decoupled from the entrained cortical activity).
Similarly to previous BCI-based interventions, the main rationale of the study is that the BCI may transform the FES and orthosis-based therapies and augment their efficacy by restoring the intention-action-perception loop and the contingency between efferent motor commands and afferent sensory feedback. In order to specifically study the contribution of the BCI isolated from the main confounds, a sham control which preserves FES and orthotic support and only removes (blind to both the participants and the therapists) the timely coupling of stimulation to suitable SMR EEG activity is preferred over other control candidates (conventional therapies, no therapy, other placebo approaches).
Unlike most previous BCI-based interventions, a more complex functional movement of the upper limb is selected which further involves object manipulation, targeting larger clinical effect and higher impact in terms of Activities of Daily Living (ADL). Further probing on the hypothesis that richer feedback may account for larger benefits, the FES is complemented with a concurrently triggered active orthosis meant to smooth the grasping movement pattern and deliver more accurate proprioceptive feedback.
Next to the main hypothesis of verifying the added value of the BCI component in terms of functional recovery but, very importantly, pre-, post-intervention and follow-up assessments with several Transcranial Magnetic Stimulation (TMS)-based protocols and high-density EEG will serve so that this study takes a closer look on the intracortical and corticospinal tract plasticity mechanisms accompanying the therapy.
The choice of studying a chronic stroke population is motivated by the ensemble of results acquired in previous BCI-based trials which suggest larger efficacy in this group.
Objective The main objective of this study is to show that a combined FES and orthotic-assistance intervention leads to significantly better (in the statistical sense) functional improvement of the upper limb indexed with the Fugl-Meyer Assessment (FMA) scale for the upper limb (FMA-UE) when driven by an SMR-based BCI compared to a sham controller, and that recovery can be lasting and clinically relevant.
The hypothesized outcome upon study completion is a significant interaction between the within-subject factor "time" (pre- and post-intervention) and the between-subject factor "Group" (BCI vs Sham) when performing a mixed-design ANOVA on the study's primary outcome. Additionally, the BCI group is expected to yield significantly higher primary outcome values post-intervention (compared to baseline) with suitable post-hoc testing. This difference should also exceed what is considered the clinically relevant threshold for chronic stroke samples. The BCI group should ideally also be significantly higher in terms of primary outcome compared to the Sham group at the post-intervention and follow-up time points, but not at baseline (pre-intervention assessment). It is a necessary prerequisite for confirming our hypothesis that at least the difference with respect to the primary outcome between post- and pre-intervention sessions is significantly larger in the BCI arm. Deriving similar effects with respect to the defined secondary clinical outcomes, especially those related to ADL, is desirable.
The secondary (but of critical importance to the scientific question posed) objective of this study is to demonstrate that greater functional recovery in the BCI group is associated with activity-dependent neural plasticity phenomena taking place (or, being profound) only within this group. The effects of the proposed therapy on motor cortex plasticity and Cortico-Spinal Tract (CST) excitability will be evaluated pre- and post-intervention, as well as at follow-up. The excitability of the primary motor cortex and of the corticospinal projections will be indexed with Motor Evoked Potential (MEP) amplitude and latency, resting and active motor threshold (RMT, AMT) after single-pulse TMS, and with the intracortical inhibition and facilitation paradigm to paired-pulse TMS, studied in the first dorsal interosseus (FDI) muscle or in more proximal muscles in case of lack of FDI-MEPs (e.g. extensor carpi radialis, ECR, or flexor digitorum superficialis, FDS).
The synaptic plasticity of the motor cortex will be assessed through the modulation of MEP amplitude after the rapid paired associative stimulation (rPAS) protocol. Changes in motor cortex plasticity and excitability are expected to follow the same trend as outlined above for the primary clinical outcome and, additionally, post-pre differences are anticipated to significantly correlate with the corresponding primary outcome differences (for each individual participant), both within each group and, especially, when pulling all subjects together. It is also assumed that the same effects will be observed for EEG correlates (e.g., functional connectivity within or across motor, premotor and sensory areas of the two hemispheres, event-related synchronization/desynchronization ERD/ERS, etc.) of motor attempt using pre- and post-intervention screening sessions, as well as analyzing the EEG data of the therapeutic sessions.
The possibility of Diffusion Tensor Imaging (where patients perform similar reach-and-grasp movements inside the scanner) to more profoundly study structural plasticity pre- and post-intervention will be pursued for eligible patients that agree to undergo this procedure.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
TRIPLE
Study Groups
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Brain-computer interface (BCI)
In the BCI arm, FES stimulation and orthosis triggering are only initiated when the BCI infers "on line" (in real time) the presence of adequate SMRs or ERD/ERS within the epoch. That is, there is precise contingency between the efferent motor command and the afferent feedback induced by BCI-driven actuators (the patient feels he/she can move his upper limb when he wants to do it).
EEG-based brain-computer interface
EEG-based brain-computer interface detecting the patient's EEG sensorimotor rhythms associated to attempted reach-gasp-release upper limb movements by the patient.
Functional Electrical Stimulation
Neuromuscular stimulation of several upper limb muscles (elbow extensors, hand extensors/flexors) to effectuate reach, grasp and release movements of the affected upper limb.
Active hand orthosis
Active hand orthosis effectuating reach, grasp and release movements of the affected uppe r limb.
Sham-Brain-computer interface (Sham-BCI)
In the Sham-BCI group, any EEG signals encoding motor intention of the patient are ignored. FES/orthosis triggering is decided at random, by "playing back" the data of a randomly selected run of a previously recruited participant. Hence, in the Sham-BCI arm, there is no guaranteed contingency between the efferent motor command and the afferent feedback induced by the FES and the orthosis, although it can still happen by coincidence.
Sham EEG-based brain-computer interface
Fake (Sham) EEG-based brain-computer interface which outputs a decision at random about whether EEG sensorimotor rhythms associated to attempted reach-gasp-release upper limb movements by the patient are currently detected.
Functional Electrical Stimulation
Neuromuscular stimulation of several upper limb muscles (elbow extensors, hand extensors/flexors) to effectuate reach, grasp and release movements of the affected upper limb.
Active hand orthosis
Active hand orthosis effectuating reach, grasp and release movements of the affected uppe r limb.
Interventions
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EEG-based brain-computer interface
EEG-based brain-computer interface detecting the patient's EEG sensorimotor rhythms associated to attempted reach-gasp-release upper limb movements by the patient.
Sham EEG-based brain-computer interface
Fake (Sham) EEG-based brain-computer interface which outputs a decision at random about whether EEG sensorimotor rhythms associated to attempted reach-gasp-release upper limb movements by the patient are currently detected.
Functional Electrical Stimulation
Neuromuscular stimulation of several upper limb muscles (elbow extensors, hand extensors/flexors) to effectuate reach, grasp and release movements of the affected upper limb.
Active hand orthosis
Active hand orthosis effectuating reach, grasp and release movements of the affected uppe r limb.
Eligibility Criteria
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Inclusion Criteria
* Victim of ischemic or haemorrhagic cerebrovascular accident (CVA)
* At least 6 months since occurrence of CVA. No upper limit on time since stroke is imposed
* First CVA
Exclusion Criteria
* Adequate or corrected vision
* Any reason obstructing EEG acquisition (scalp infections or wounds, dermatitis, etc)
* Severe concomitant diseases (fever, infections, cardiac conditions, etc)
* Heavy medication affecting the central nervous system (CNS, especially vigilance)
* CVA with multiple infarcts
* Second or later CVA
* Severe unilateral hemispatial neglect as assessed by the behavioural part of the Behavioural Inattention Test (BIT) and the Fluff Test for body neglect
* Severe cognitive disability affecting speech production, communication (e.g. aphasia), the ability to understand and give clear and free informed consent and to fully understand and comply with protocol instructions. A score of above 22/30 of the Montreal Cognitive Assessment (MoCA) scale is advised Inability to concentrate for 2 consecutive hours
* Concomitant neurological conditions (e.g. Parkinson's disease) Severe spasticity. The Modified Ashworth Scale (MAS) score at the elbow, wrist and fingers should be below or equal to 2.
* Severe dystonia, dyskinesia or pain
* Cardiac pacemaker, active implants and other contraindications for FES
* Metallic implants affecting EEG acquisition
Patients for whom it is not possible to evoke a MEP greater than or equal to 0.2 mV amplitude at rest from the FDI and more proximal muscles (like ECR, FDS, etc) of the affected limb, or with contraindications for the TMS or Diffusion Tensor Imaging (DTI) protocols, will not undergo the respective procedures but will not be excluded from the trial.
18 Years
ALL
No
Sponsors
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Azienda Sanitaria dell'Alto Adige
OTHER
Landeskrankenhaus Hochzirl
UNKNOWN
University of Essex
OTHER
Responsible Party
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Locations
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Ospedale di Vipiteno | Azienda Sanitaria dell'Alto Adige
Sterzing, Trentino-Alto Adige, Italy
Countries
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Central Contacts
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Facility Contacts
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Viviana Versace, PhD MD
Role: primary
References
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Cervera MA, Soekadar SR, Ushiba J, Millan JDR, Liu M, Birbaumer N, Garipelli G. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis. Ann Clin Transl Neurol. 2018 Mar 25;5(5):651-663. doi: 10.1002/acn3.544. eCollection 2018 May.
Biasiucci A, Leeb R, Iturrate I, Perdikis S, Al-Khodairy A, Corbet T, Schnider A, Schmidlin T, Zhang H, Bassolino M, Viceic D, Vuadens P, Guggisberg AG, Millan JDR. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke. Nat Commun. 2018 Jun 20;9(1):2421. doi: 10.1038/s41467-018-04673-z.
Other Identifiers
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BCIFESOrthosis
Identifier Type: -
Identifier Source: org_study_id