Stroke Sequelae Clinical Trial
— RECOMMENCEROfficial title:
RECOMmENceR: RE-establishing COrtico Muscular COMunication to ENhance Recovery. Clinical Validation of BCI-controlled Functional Electrical Stimulation for Upper Limb Rehabilitation After Stroke
The RECOMMENCER project aims at developing and testing a novel hybrid Brain Computer Interface device based on cortico-muscular connectivity, that will be employed to activate Functional Electrical Stimulation (FES) of upper limb muscles. After the technical implementation of the device and its preliminary testing on healthy subject, the investigators will evaluate the effects of a 1 month training with the device (RECOM) on post-stroke patients undergoing standard rehabilitation (add-on). The proposed intervention will be compared with an active physiotherapy training including FES (CTRL) which will be focused on upper limb with similar intensity as the target intervention (also delivered in add-on).
Status | Recruiting |
Enrollment | 36 |
Est. completion date | December 31, 2024 |
Est. primary completion date | March 1, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - unilateral stroke event at least 3 months before recruitment - reduced strength in the upper limb Exclusion Criteria: - concomitant diseases affecting upper limb function - spasticity in the upper limb (4-5 of MAS) - severe neuropsychological deficit preventing active participation to the study - contraindication to FES or EEG/EMG recording |
Country | Name | City | State |
---|---|---|---|
Italy | Neurorehabilitation Units- Fondazione Santa Lucia, IRCCS | Rome |
Lead Sponsor | Collaborator |
---|---|
Donatella Mattia | University of Roma La Sapienza |
Italy,
Chen YT, Li S, Magat E, Zhou P, Li S. Motor Overflow and Spasticity in Chronic Stroke Share a Common Pathophysiological Process: Analysis of Within-Limb and Between-Limb EMG-EMG Coherence. Front Neurol. 2018 Oct 9;9:795. doi: 10.3389/fneur.2018.00795. eCollection 2018. — View Citation
Colamarino E, de Seta V, Masciullo M, Cincotti F, Mattia D, Pichiorri F, Toppi J. Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface. Int J Neural Syst. 2021 Nov;31(11):2150052. doi: 10.1142/S01 — View Citation
Peng Y, Wang J, Liu Z, Zhong L, Wen X, Wang P, Gong X, Liu H. The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Front Hum Neurosci. 2022 Mar 29;16:798883. doi: 10.3389/fnhum.2022.798883. eCollection 2022. — View Citation
Pichiorri F, Mattia D. Brain-computer interfaces in neurologic rehabilitation practice. Handb Clin Neurol. 2020;168:101-116. doi: 10.1016/B978-0-444-63934-9.00009-3. — View Citation
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. — View Citation
Silva CC, Silva A, Sousa A, Pinheiro AR, Bourlinova C, Silva A, Salazar A, Borges C, Crasto C, Correia MV, Vilas-Boas JP, Santos R. Co-activation of upper limb muscles during reaching in post-stroke subjects: an analysis of the contralesional and ipsilesional limbs. J Electromyogr Kinesiol. 2014 Oct;24(5):731-8. doi: 10.1016/j.jelekin.2014.04.011. Epub 2014 May 9. — View Citation
von Carlowitz-Ghori K, Bayraktaroglu Z, Hohlefeld FU, Losch F, Curio G, Nikulin VV. Corticomuscular coherence in acute and chronic stroke. Clin Neurophysiol. 2014 Jun;125(6):1182-91. doi: 10.1016/j.clinph.2013.11.006. Epub 2013 Nov 16. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Changes in EEG activity and connectivity | Changes on high density Electroencephalography (hdEEG) patterns of cortical oscillatory activity and connectivity, as assessed during neurophysiological assessment before and after the intervention. The analysis will focus on activity and connectivity within motor related frequency band. | Pre-Randomization, Post Training (within 48 hours) | |
Other | Changes in EMG activation of target vs non target muscles. | Changes in EMG parameters assessed during neurophysiological assessment before and after the intervention. The analysis will be focused on activation of the target muscle for each given task (example: extensor digitorum communis during finger extension) and the relative co-activation of non target muscles ipsilateral to the task or contralateral (mirror movements). | Pre-Randomization, Post Training (within 48 hours) | |
Other | Changes in CMC | Changes in CMC parameters as assessed during neurophysiological assessment before and after the intervention. The analysis will focus on CMC couples (EEG electrode + EMG) relative to the affected hemisphere (in sensorimotor regions) and the target muscles. The investigators expect a reinforcement of CMC in those couples and a reduction of CMC in other couples. | Pre-Randomization, Post Training (within 48 hours) | |
Other | Changes Cinematic parameters | Changes in cinematic parameters as assessed during neurophysiological assessment. Cinematic parameters will be recorded both during the execution of simple tasks (hand opening, closing) and a more complex one (a task adapted from the box and block test - see above). In simple tasks, the investigator hypothesize that with clinical/functional improvement there will be a reduction of compensatory movement of proximal segments and trunk. In the complex task, the investigators expect both the latter and an improvement in smoothness. | Pre-Randomization, Post Training (within 48 hours) | |
Primary | Changes in Fugl-Meyer Assessment (FMA) - upper limb section | Commonly employed functional scale for post-stroke motor function. The scale ranges from 0 (maximum possible impairment) to 66 (no impairment). | Pre-Randomization, Post Training (within 48 hours) | |
Primary | Changes in Action Research Arm Test (ARAT) | Commonly employed functional scale for post-stroke upper limb function. Consists of 19 items with a four scale point. Total scores on the ARAT may range from 0-57 points, with a maximum score of 57 points indicating better performance. | Pre-Randomization, Post Training (within 48 hours) | |
Secondary | Changes in Modified Ashworth Scale for Spasticity (MAS) | Measure of arm spasticity (at shoulder + elbow + hand) as measured by means of MAS (score from 0 to 5 points, where 0 is equal to absence of spasticity, 5 is equal to high degree of spasticity) | Pre-Randomization, Post Training (within 48 hours) | |
Secondary | Changes Box and Block Test (BBT) | The BBT is composed of a wooden box divided in two compartments by a partition and 150 blocks. The BBT administration consists of asking the client to move, one by one, the maximum number of blocks from one compartment of a box to another of equal size, within 60 seconds. | Pre-Randomization, Post Training (within 48 hours) | |
Secondary | Changes Numeric Rating Scale for pain in the upper limb (NRS) | Measure of arm perceived pain by means of Numeric Rating Scale (score from 0 to 10 points where 0 is equal to NO PAIN and 10 is equal to UNSPEAKABLE PAIN) | Pre-Randomization, Post Training (within 48 hours) | |
Secondary | Changes in Manual Muscle Test (MMT) strength in upper limb segments | Evaluation of residual strength in upper limb muscles - shoulder abduction, elbow flexion and extension, wrist flexion and extension (each segment ranging from 0 - no muscular activation to 5 - full movement against resistance). | Pre-Randomization, Post Training (within 48 hours) | |
Secondary | Changes in NIH Stroke Scale | Measure of severity of stroke symptoms as for the National Institute of Health Stroke Scale-NIHSS (composed by 11 items with a total score ranging from 0 to a maximum depending on each item, where 0 is normal and maximum is pathological response) | Pre-Randomization, Post Training (within 48 hours) |
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