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Cashaback JGA, Allen JL, Chou AHY, Lin DJ, Price MA, Secerovic NK, Song S, Zhang H, Miller HL. NSF DARE-transforming modeling in neurorehabilitation: a patient-in-the-loop framework. J Neuroeng Rehabil 2024; 21:23. [PMID: 38347597 PMCID: PMC10863253 DOI: 10.1186/s12984-024-01318-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 01/25/2024] [Indexed: 02/15/2024] Open
Abstract
In 2023, the National Science Foundation (NSF) and the National Institute of Health (NIH) brought together engineers, scientists, and clinicians by sponsoring a conference on computational modelling in neurorehabiilitation. To facilitate multidisciplinary collaborations and improve patient care, in this perspective piece we identify where and how computational modelling can support neurorehabilitation. To address the where, we developed a patient-in-the-loop framework that uses multiple and/or continual measurements to update diagnostic and treatment model parameters, treatment type, and treatment prescription, with the goal of maximizing clinically-relevant functional outcomes. This patient-in-the-loop framework has several key features: (i) it includes diagnostic and treatment models, (ii) it is clinically-grounded with the International Classification of Functioning, Disability and Health (ICF) and patient involvement, (iii) it uses multiple or continual data measurements over time, and (iv) it is applicable to a range of neurological and neurodevelopmental conditions. To address the how, we identify state-of-the-art and highlight promising avenues of future research across the realms of sensorimotor adaptation, neuroplasticity, musculoskeletal, and sensory & pain computational modelling. We also discuss both the importance of and how to perform model validation, as well as challenges to overcome when implementing computational models within a clinical setting. The patient-in-the-loop approach offers a unifying framework to guide multidisciplinary collaboration between computational and clinical stakeholders in the field of neurorehabilitation.
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Affiliation(s)
- Joshua G A Cashaback
- Biomedical Engineering, Mechanical Engineering, Kinesiology and Applied Physiology, Biome chanics and Movement Science Program, Interdisciplinary Neuroscience Graduate Program, University of Delaware, 540 S College Ave, Newark, DE, 19711, USA.
| | - Jessica L Allen
- Department of Mechanical Engineering, University of Florida, Gainesville, USA
| | | | - David J Lin
- Division of Neurocritical Care and Stroke Service, Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Department of Veterans Affairs, Center for Neurorestoration and Neurotechnology, Rehabilitation Research and Development Service, Providence, USA
| | - Mark A Price
- Department of Mechanical and Industrial Engineering, Department of Kinesiology, University of Massachusetts Amherst, Amherst, USA
| | - Natalija K Secerovic
- School of Electrical Engineering, The Mihajlo Pupin Institute, University of Belgrade, Belgrade, Serbia
- Laboratory for Neuroengineering, Institute for Robotics and Intelligent Systems ETH Zürich, Zurich, Switzerland
| | - Seungmoon Song
- Mechanical and Industrial Engineering, Northeastern University, Boston, USA
| | - Haohan Zhang
- Department of Mechanical Engineering, University of Utah, Salt Lake City, USA
| | - Haylie L Miller
- School of Kinesiology, University of Michigan, 830 N University Ave, Ann Arbor, MI, 48109, USA.
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Kiper P, Guzik A, Petrarca M, Oliva-Pascual-Vaca A, Luque-Moreno C. Editorial: New approaches for central nervous system rehabilitation. Front Neurol 2024; 15:1367519. [PMID: 38356885 PMCID: PMC10864656 DOI: 10.3389/fneur.2024.1367519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 01/22/2024] [Indexed: 02/16/2024] Open
Affiliation(s)
- Pawel Kiper
- Healthcare Innovation Technology Lab, IRCCS San Camillo Hospital, Venice, Italy
| | - Agnieszka Guzik
- Department of Physiotherapy, College of Medical Sciences, Institute of Health Sciences, University of Rzeszów, Rzeszów, Poland
| | - Maurizio Petrarca
- Movement Analysis and Robotics Laboratory (MARlab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Angel Oliva-Pascual-Vaca
- Department of Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, University of Sevilla, Sevilla, Spain
| | - Carlos Luque-Moreno
- Department of Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, University of Sevilla, Sevilla, Spain
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Corominas-Teruel X, Bracco M, Fibla M, Segundo RMS, Villalobos-Llaó M, Gallea C, Beranger B, Toba M, Valero-Cabré A, Colomina MT. High-density transcranial direct current stimulation to improve upper limb motor function following stroke: study protocol for a double-blind randomized clinical trial targeting prefrontal and/or cerebellar cognitive contributions to voluntary motion. Trials 2023; 24:783. [PMID: 38049806 PMCID: PMC10694989 DOI: 10.1186/s13063-023-07680-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 09/27/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Focal brain lesions following a stroke of the middle cerebral artery induce large-scale network disarray with a potential to impact multiple cognitive and behavioral domains. Over the last 20 years, non-invasive brain neuromodulation via electrical (tCS) stimulation has shown promise to modulate motor deficits and contribute to recovery. However, weak, inconsistent, or at times heterogeneous outcomes using these techniques have also highlighted the need for novel strategies and the assessment of their efficacy in ad hoc controlled clinical trials. METHODS We here present a double-blind, sham-controlled, single-center, randomized pilot clinical trial involving participants having suffered a unilateral middle cerebral artery (MCA) stroke resulting in motor paralysis of the contralateral upper limb. Patients will undergo a 10-day regime (5 days a week for 2 consecutive weeks) of a newly designed high-definition transcranial direct current stimulation (HD-tDCS) protocol. Clinical evaluations (e.g., Fugl Meyer, NIHSS), computer-based cognitive assessments (visuo-motor adaptation and AX-CPT attention tasks), and electroencephalography (resting-state and task-evoked EEG) will be carried out at 3 time points: (I) Baseline, (II) Post-tDCS, and (III) Follow-up. The study consists of a four-arm trial comparing the impact on motor recovery of three active anodal tDCS conditions: ipsilesional DLPFC tDCS, contralesional cerebellar tDCS or combined DLPFC + contralesional cerebellar tDCS, and a sham tDCS intervention. The Fugl-Meyer Assessment for the upper extremity (FMA-UE) is selected as the primary outcome measure to quantify motor recovery. In every stimulation session, participants will receive 20 min of high-density tDCS stimulation (HD-tDCS) (up to 0.63 mA/[Formula: see text]) with [Formula: see text] electrodes. Electrode scalp positioning relative to the cortical surface (anodes and cathodes) and intensities are based on a biophysical optimization model of current distribution ensuring a 0.25 V/m impact at each of the chosen targets. DISCUSSION Our trial will gauge the therapeutic potential of accumulative sessions of HD-tDCS to improve upper limb motor and cognitive dysfunctions presented by middle cerebral artery stroke patients. In parallel, we aim at characterizing changes in electroencephalographic (EEG) activity as biomarkers of clinical effects and at identifying potential interactions between tDCS impact and motor performance outcomes. Our work will enrich our mechanistic understanding on prefrontal and cerebellar contributions to motor function and its rehabilitation following brain damage. TRIAL REGISTRATION ClinicalTrials.gov NCT05329818. April 15, 2022.
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Affiliation(s)
- Xavier Corominas-Teruel
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Groupe de Dynamiques Cérébrales, Plasticité Et Rééducation, FRONTLAB Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
- Department of Psychology and Research Center for Behaviour Assessment (CRAMC), Universitat Rovira I Virgili, Neurobehaviour and Health Research Group, NEUROLAB, Tarragona, Spain
| | - Martina Bracco
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Groupe de Dynamiques Cérébrales, Plasticité Et Rééducation, FRONTLAB Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Movement Investigation and Therapeutics Team, MOVIT Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Montserrat Fibla
- Rehabilitation and Physical Medicine Department, Hospital Universitari Joan XXIII, Tarragona, Spain
| | - Rosa Maria San Segundo
- Rehabilitation and Physical Medicine Department, Hospital Universitari Joan XXIII, Tarragona, Spain
| | - Marc Villalobos-Llaó
- Department of Psychology and Research Center for Behaviour Assessment (CRAMC), Universitat Rovira I Virgili, Neurobehaviour and Health Research Group, NEUROLAB, Tarragona, Spain
| | - Cecile Gallea
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Movement Investigation and Therapeutics Team, MOVIT Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Benoit Beranger
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Centre de Neuro-Imagerie de Recherche, CENIR, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Monica Toba
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Groupe de Dynamiques Cérébrales, Plasticité Et Rééducation, FRONTLAB Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France
| | - Antoni Valero-Cabré
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Groupe de Dynamiques Cérébrales, Plasticité Et Rééducation, FRONTLAB Team, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France.
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Centre de Neuro-Imagerie de Recherche, CENIR, Inserm, CNRS, APHP, Hôpital de La Pitié Salpêtrière, Paris, France.
- Dept. Anatomy and Neurobiology, Lab of Cerebral Dynamics, Boston University School of Medicine, Boston, USA.
- Cognitive Neuroscience and Information Tech. Research Program, Open University of Catalonia (UOC), Barcelona, Spain.
| | - Maria Teresa Colomina
- Department of Psychology and Research Center for Behaviour Assessment (CRAMC), Universitat Rovira I Virgili, Neurobehaviour and Health Research Group, NEUROLAB, Tarragona, Spain.
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Cipriani M, Pichiorri F, Colamarino E, Toppi J, Tamburella F, Lorusso M, Bigioni A, Morone G, Tomaiuolo F, Santoro F, Cordella D, Molinari M, Cincotti F, Mattia D, Puopolo M. The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial. Trials 2023; 24:736. [PMID: 37974284 PMCID: PMC10655338 DOI: 10.1186/s13063-023-07773-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Electroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. The Promotoer study aims to assess the short and long-term efficacy of the Promotoer system, an EEG-based BCI assisting motor imagery (MI) practice, in enhancing post-stroke functional hand motor recovery. This paper details the statistical analysis plan of the Promotoer study. METHODS The Promotoer study is a randomized, controlled, assessor-blinded, single-centre, superiority trial, with two parallel groups and a 1:1 allocation ratio. Subacute stroke patients are randomized to EEG-based BCI-assisted MI training or to MI training alone (i.e. no BCI). An internal pilot study for sample size re-assessment is planned. The primary outcome is the effectiveness of the Upper Extremity Fugl-Meyer Assessment (UE-FMA) score. Secondary outcomes include clinical, functional, and user experience scores assessed at the end of intervention and at follow-up. Neurophysiological assessments are also planned. Effectiveness formulas have been specified, and intention-to-treat and per-protocol populations have been defined. Statistical methods for comparisons of groups and for development of a predictive score of significant improvement are described. Explorative subgroup analyses and methodology to handle missing data are considered. DISCUSSION The Promotoer study will provide robust evidence for the short/long-term efficacy of the Promotoer system in subacute stroke patients undergoing a rehabilitation program. Moreover, the development of a predictive score of response will allow transferring of the Promotoer system to optimal clinical practice. By carefully describing the statistical principles and procedures, the statistical analysis plan provides transparency in the analysis of data. TRIAL REGISTRATION ClinicalTrials.gov NCT04353297 . Registered on April 15, 2020.
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Affiliation(s)
- Marta Cipriani
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
- Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy
| | | | - Emma Colamarino
- Fondazione Santa Lucia, IRCCS, Rome, Italy
- Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Rome, Italy
| | - Jlenia Toppi
- Fondazione Santa Lucia, IRCCS, Rome, Italy
- Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Rome, Italy
| | | | | | | | | | - Francesco Tomaiuolo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Filippo Santoro
- Research Coordination and Support Service, Istituto Superiore di Sanità, Rome, Italy
| | | | | | - Febo Cincotti
- Fondazione Santa Lucia, IRCCS, Rome, Italy
- Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Rome, Italy
| | | | - Maria Puopolo
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy.
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Talaty M, Esquenazi A. Feasibility and outcomes of supplemental gait training by robotic and conventional means in acute stroke rehabilitation. J Neuroeng Rehabil 2023; 20:134. [PMID: 37794474 PMCID: PMC10552424 DOI: 10.1186/s12984-023-01243-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 09/07/2023] [Indexed: 10/06/2023] Open
Abstract
INTRODUCTION Practicality of implementation and dosing of supplemental gait training in an acute stroke inpatient rehabilitation setting are not well studied but can have positive impact on outcomes. OBJECTIVES To determine the feasibility of early, intense supplemental gait training in inpatient stroke rehabilitation, compare functional outcomes and the specific mode of delivery. DESIGN AND SETTING Assessor blinded, randomized controlled trial in a tertiary Inpatient Rehabilitation Facility. PARTICIPANTS Thirty acute post-stroke patients with unilateral hemiparesis (≥ 18 years of age with a lower limb MAS ≤ 3). INTERVENTION Lokomat® or conventional gait training (CGT) in addition to standard mandated therapy time. MAIN OUTCOME MEASURES Number of therapy sessions; adverse events; functional independence measure (FIM motor); functional ambulation category (FAC); passive range of motion (PROM); modified Ashworth scale (MAS); 5 times sit-to-stand (5x-STS); 10-m walk test (10MWT); 2-min walk test (2MWT) were assessed before (pre) and after training (post). RESULTS The desired supplemental therapy was implemented during normal care delivery hours and the patients generally tolerated the sessions well. Both groups improved markedly on several measures; the CGT group obtained nearly 45% more supplemental sessions (12.8) than the Lokomat® group (8.9). Both groups showed greater FIM improvement scores (discharge - admission) than those from a reference group receiving no supplemental therapy. An overarching statistical comparison between methods was skewed towards a differential benefit (but not significant) in the Lokomat® group with medium effect sizes. By observation, the robotic group completed a greater number of steps, on average. These results provide some evidence for Lokomat® being a more efficient tool for gait retraining by providing a more optimal therapy "dose". CONCLUSIONS With careful planning, supplemental therapy was possible with minimal intrusion to schedules and was well tolerated. Participants showed meaningful functional improvement with relatively little supplemental therapy over a relatively short time in study.
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Affiliation(s)
- Mukul Talaty
- Gait and Motion Analysis Laboratory, MossRehab, Elkins Park, PA, 19027, USA.
- Penn State University, 1600 Woodland Road, Abington, PA, 19001, USA.
| | - Alberto Esquenazi
- Gait and Motion Analysis Laboratory, MossRehab, Elkins Park, PA, 19027, USA
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de Seta V, Toppi J, Colamarino E, Molle R, Castellani F, Cincotti F, Mattia D, Pichiorri F. Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients. Front Hum Neurosci 2022; 16:1016862. [PMID: 36483633 PMCID: PMC9722732 DOI: 10.3389/fnhum.2022.1016862] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/26/2022] [Indexed: 10/05/2023] Open
Abstract
Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity. Hybrid BCIs (h-BCIs) exploit both central and peripheral activation and are frequently used in assistive BCIs to improve classification performances. However, in a rehabilitative context, brain and muscular features should be extracted to promote a favorable motor outcome, reinforcing not only the volitional control in the central motor system, but also the effective projection of motor commands to target muscles, i.e., central-to-peripheral communication. For this reason, we considered cortico-muscular coupling (CMC) as a feature for a h-BCI devoted to post-stroke upper limb motor rehabilitation. In this study, we performed a pseudo-online analysis on 13 healthy participants (CTRL) and 12 stroke patients (EXP) during executed (CTRL, EXP unaffected arm) and attempted (EXP affected arm) hand grasping and extension to optimize the translation of CMC computation and CMC-based movement detection from offline to online. Results showed that updating the CMC computation every 125 ms (shift of the sliding window) and accumulating two predictions before a final classification decision were the best trade-off between accuracy and speed in movement classification, independently from the movement type. The pseudo-online analysis on stroke participants revealed that both attempted and executed grasping/extension can be classified through a CMC-based movement detection with high performances in terms of classification speed (mean delay between movement detection and EMG onset around 580 ms) and accuracy (hit rate around 85%). The results obtained by means of this analysis will ground the design of a novel non-invasive h-BCI in which the control feature is derived from a combined EEG and EMG connectivity pattern estimated during upper limb movement attempts.
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Affiliation(s)
- Valeria de Seta
- Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Jlenia Toppi
- Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Emma Colamarino
- Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Rita Molle
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Filippo Castellani
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Febo Cincotti
- Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Donatella Mattia
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Floriana Pichiorri
- Neuroelectric Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy
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Fleury L, Koch PJ, Wessel MJ, Bonvin C, San Millan D, Constantin C, Vuadens P, Adolphsen J, Cadic Melchior A, Brügger J, Beanato E, Ceroni M, Menoud P, De Leon Rodriguez D, Zufferey V, Meyer NH, Egger P, Harquel S, Popa T, Raffin E, Girard G, Thiran JP, Vaney C, Alvarez V, Turlan JL, Mühl A, Léger B, Morishita T, Micera S, Blanke O, Van De Ville D, Hummel FC. Toward individualized medicine in stroke—The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke. Front Neurol 2022; 13:939640. [PMID: 36226086 PMCID: PMC9549862 DOI: 10.3389/fneur.2022.939640] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Despite recent improvements, complete motor recovery occurs in <15% of stroke patients. To improve the therapeutic outcomes, there is a strong need to tailor treatments to each individual patient. However, there is a lack of knowledge concerning the precise neuronal mechanisms underlying the degree and course of motor recovery and its individual differences, especially in the view of brain network properties despite the fact that it became more and more clear that stroke is a network disorder. The TiMeS project is a longitudinal exploratory study aiming at characterizing stroke phenotypes of a large, representative stroke cohort through an extensive, multi-modal and multi-domain evaluation. The ultimate goal of the study is to identify prognostic biomarkers allowing to predict the individual degree and course of motor recovery and its underlying neuronal mechanisms paving the way for novel interventions and treatment stratification for the individual patients. A total of up to 100 patients will be assessed at 4 timepoints over the first year after the stroke: during the first (T1) and third (T2) week, then three (T3) and twelve (T4) months after stroke onset. To assess underlying mechanisms of recovery with a focus on network analyses and brain connectivity, we will apply synergistic state-of-the-art systems neuroscience methods including functional, diffusion, and structural magnetic resonance imaging (MRI), and electrophysiological evaluation based on transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) and electromyography (EMG). In addition, an extensive, multi-domain neuropsychological evaluation will be performed at each timepoint, covering all sensorimotor and cognitive domains. This project will significantly add to the understanding of underlying mechanisms of motor recovery with a strong focus on the interactions between the motor and other cognitive domains and multimodal network analyses. The population-based, multi-dimensional dataset will serve as a basis to develop biomarkers to predict outcome and promote personalized stratification toward individually tailored treatment concepts using neuro-technologies, thus paving the way toward personalized precision medicine approaches in stroke rehabilitation.
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Affiliation(s)
- Lisa Fleury
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Philipp J. Koch
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Maximilian J. Wessel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University Hospital and Julius-Maximilians-University, Wuerzburg, Germany
| | | | | | | | | | | | - Andéol Cadic Melchior
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Julia Brügger
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Martino Ceroni
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Pauline Menoud
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Diego De Leon Rodriguez
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Valérie Zufferey
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Nathalie H. Meyer
- Laboratory of Cognitive Neuroscience, INX and BMI, EPFL, Campus Biotech, Geneva, Switzerland
| | - Philip Egger
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Sylvain Harquel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Traian Popa
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Estelle Raffin
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Gabriel Girard
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland
| | - Jean-Philippe Thiran
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland
- Signal Processing Laboratory (LTS5), EPFL, Lausanne, Switzerland
| | | | | | | | - Andreas Mühl
- Clinique Romande de Réadaptation, Sion, Switzerland
| | | | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Silvestro Micera
- The Biorobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
- Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, EPFL, Lausanne, Switzerland
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, INX and BMI, EPFL, Campus Biotech, Geneva, Switzerland
- Department of Clinical Neurosciences, University of Geneva (UNIGE), Geneva, Switzerland
| | - Dimitri Van De Ville
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Medical Image Processing Lab, Center for Neuroprosthetics, Institute of Bioengineering, EPFL, Lausanne, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
| | - Friedhelm C. Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute (INX) and Brain Mind Institute (BMI), EPFL, Campus Biotech, Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, INX and BMI, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Clinical Neuroscience, Geneva University Hospital, Geneva, Switzerland
- *Correspondence: Friedhelm C. Hummel
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8
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Patsaki I, Dimitriadi N, Despoti A, Tzoumi D, Leventakis N, Roussou G, Papathanasiou A, Nanas S, Karatzanos E. The effectiveness of immersive virtual reality in physical recovery of stroke patients: A systematic review. Front Syst Neurosci 2022; 16:880447. [PMID: 36211591 PMCID: PMC9535681 DOI: 10.3389/fnsys.2022.880447] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 09/01/2022] [Indexed: 11/28/2022] Open
Abstract
Background Over the past few years, technological innovations have been increasingly employed to augment the rehabilitation of stroke patients. Virtual reality (VR) has gained attention through its ability to deliver a customized training session and to increase patients' engagement. Virtual reality rehabilitation programs allow the patient to perform a therapeutic program tailored to his/her needs while interacting with a computer-simulated environment. Purpose This study aims to investigate the effectiveness of a fully immersive rehabilitation program using a commercially available head-mounted display in stroke patients. Methods A systematic search was conducted in three databases, namely, PubMed, Google Scholar, and PEDro. Four hundred thirty-two references were identified. The keywords used for the literature search were in English, which are given as follows: immersive, virtual reality, neurorehabilitation, stroke, and head-mounted display. Additionally, applicable articles were identified through screening reference lists of relevant articles. Results Only 12 studies used head-mounted display for immersing the patient into the virtual world. Apart from the feasibility of this new technology, a range of benefits were identified, especially in terms of functional ability as measured by FIM or Barthel, the Action Research arm Test, Box and Block Test, Fugl-Meyer assessment of physical performance, strength, and balance outcomes. Conclusion The results from this review support the potential beneficial effect of fully immersive virtual reality in the rehabilitation of stroke patients, maximizing recovery through increased motivation and adherence.
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Affiliation(s)
- Irini Patsaki
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nefeli Dimitriadi
- Department of Film Studies, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Akylina Despoti
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitra Tzoumi
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Leventakis
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgia Roussou
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Serafeim Nanas
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleftherios Karatzanos
- Clinical Ergospirometry, Exercise and Rehabilitation Laboratory, 1st Critical Care Department, Evangelismos Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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9
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Corominas-Teruel X, Mozo RMSS, Simó MF, Colomina Fosch MT, Valero-Cabré A. Transcranial direct current stimulation for gait recovery following stroke: A systematic review of current literature and beyond. Front Neurol 2022; 13:953939. [PMID: 36158971 PMCID: PMC9490093 DOI: 10.3389/fneur.2022.953939] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/02/2022] [Indexed: 11/21/2022] Open
Abstract
Background Over the last decade, transcranial direct current stimulation (tDCS) has set promise contributing to post-stroke gait rehabilitation. Even so, results are still inconsistent due to low sample size, heterogeneity of samples, and tDCS design differences preventing comparability. Nonetheless, updated knowledge in post-stroke neurophysiology and stimulation technologies opens up opportunities to massively improve treatments. Objective The current systematic review aims to summarize the current state-of-the-art on the effects of tDCS applied to stroke subjects for gait rehabilitation, discuss tDCS strategies factoring individual subject profiles, and highlight new promising strategies. Methods MEDLINE, SCOPUS, CENTRAL, and CINAHL were searched for stroke randomized clinical trials using tDCS for the recovery of gait before 7 February 2022. In order to provide statistical support to the current review, we analyzed the achieved effect sizes and performed statistical comparisons. Results A total of 24 records were finally included in our review, totaling n = 651 subjects. Detailed analyses revealed n = 4 (17%) studies with large effect sizes (≥0.8), n = 6 (25%) studies with medium ones (≥0.5), and n = 6 (25%) studies yielding low effects sizes (≤ 0.2). Statistically significant negative correlations (rho = −0.65, p = 0.04) and differences (p = 0.03) argued in favor of tDCS interventions in the sub-acute phase. Finally, significant differences (p = 0.03) were argued in favor of a bifocal stimulation montage (anodal M1 ipsilesional and cathodal M1 contralesional) with respect to anodal ipsilesional M1. Conclusion Our systematic review highlights the potential of tDCS to contribute to gait recovery following stroke, although also the urgent need to improve current stimulation strategies and subject-customized interventions considering stroke severity, type or time-course, and the use of network-based multifocal stimulation approaches guided by computational biophysical modeling. Systematic review registration PROSPERO: CRD42021256347.
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Affiliation(s)
- Xavier Corominas-Teruel
- Department of Psychology, Neurobehavior and Health Research Group (NEUROLAB), Universitat Rovira i Virgili, Tarragona, Spain
- Cerebral Dynamics, Plasticity and Rehabilitation Group, Institut du Cerveau et de la Moelle Epinière, CNRS UMR 7225, Paris, France
| | | | - Montserrat Fibla Simó
- Rehabilitation and Physical Medicine Department, Hospital Universitari Joan XXIII, Tarragona, Spain
| | - Maria Teresa Colomina Fosch
- Department of Psychology, Neurobehavior and Health Research Group (NEUROLAB), Universitat Rovira i Virgili, Tarragona, Spain
- *Correspondence: Antoni Valero-Cabré
| | - Antoni Valero-Cabré
- Cerebral Dynamics, Plasticity and Rehabilitation Group, Institut du Cerveau et de la Moelle Epinière, CNRS UMR 7225, Paris, France
- Cognitive Neuroscience and Information Tech. Research Program, Open University of Catalonia (UOC), Barcelona, Spain
- Department of Anatomy and Neurobiology, Laboratory of Cerebral Dynamics, Boston University School of Medicine, Boston, MA, United States
- Maria Teresa Colomina Fosch
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10
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Is virtual reality training superior to conventional treatment in improving lower extremity motor function in chronic hemiplegic patients? Turk J Phys Med Rehabil 2022; 68:391-398. [DOI: 10.5606/tftrd.2022.9081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 11/29/2021] [Indexed: 11/27/2022] Open
Abstract
Objectives: This study aims to examine the effect of virtual reality (VR) training, frequently included in rehabilitation programs, on lower extremity functional status, mobility, balance, and walking speed in chronic stroke patients.
Patients and methods: This randomized, controlled study was conducted with 60 chronic stroke patients (26 males, 34 females; mean age: 64.0 years; range, 33 to 80 years) who presented to the physical therapy and rehabilitation outpatient clinic of the Kütahya Health Sciences University Evliya Çelebi Training and Research Hospital between February 2019 and February 2020. The participants were randomized to the VR group and the control group by simple randomization with 1:1 allocation. The VR group received 30 min of VR training and 30 min of conventional physiotherapy, while the control group received 60 min of conventional physiotherapy. The patients were evaluated before and after treatment using the Fugl-Meyer Assessment-Lower Extremity (FMA-LE), Rivermead Mobility Index (RMI), 10-m walk test (10MWT), and Berg Balance Scale (BBS).
Results: The FMA-LE, RMI, 10MWT, and BBS scores significantly improved in both groups after treatment (p<0.001). The post-treatment change in the FMA-LE score was significantly higher in the VR group than in the control group (Z=-3.560, p<0.001). Similarly, the change in the BBS score was significantly higher in the VR group (Z=-3.769, p<0.001). Post-treatment changes in the RMI and 10MWT were not significant (p>0.05).
Conclusion: Virtual reality training combined with conventional physiotherapy was found to be superior to conventional physiotherapy alone in improving lower extremity functional status in chronic stroke patients; therefore, adding a VR component to rehabilitation programs will have a favorable impact on treatment outcomes.
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11
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Agami S, Riemer R, Berman S. Enhancing motion tracking accuracy of a low-cost 3D video sensor using a biomechanical model, sensor fusion, and deep learning. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:956381. [PMID: 36188943 PMCID: PMC9397931 DOI: 10.3389/fresc.2022.956381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/27/2022] [Indexed: 11/13/2022]
Abstract
Low-cost 3D video sensors equipped with routines for extracting skeleton data facilitate the widespread use of virtual reality (VR) for rehabilitation. However, the accuracy of the extracted skeleton data is often limited. Accuracy can be improved using a motion tracker, e.g., using a recurrent neural network (RNN). Yet, training an RNN requires a considerable amount of relevant and accurate training data. Training databases can be obtained using gold-standard motion tracking sensors. This limits the use of the RNN trackers in environments and tasks that lack accessibility to gold-standard sensors. Digital goniometers are typically cheaper, more portable, and simpler to use than gold-standard motion tracking sensors. The current work suggests a method for generating accurate skeleton data suitable for training an RNN motion tracker based on the offline fusion of a Kinect 3D video sensor and an electronic goniometer. The fusion applies nonlinear constraint optimization, where the constraints are based on an advanced shoulder-centered kinematic model of the arm. The model builds on the representation of the arm as a triangle (the arm triangle). The shoulder-centered representation of the arm triangle motion simplifies constraint representation and consequently the optimization problem. To test the performance of the offline fusion and the RNN trained using the optimized data, arm motion of eight participants was recorded using a Kinect sensor, an electronic goniometer, and, for comparison, a passive-marker-based motion tracker. The data generated by fusing the Kinect and goniometer recordings were used for training two long short-term memory (LSTM) RNNs. The input to one RNN included both the Kinect and the goniometer data, and the input to the second RNN included only Kinect data. The performance of the networks was compared to the performance of a tracker based on a Kalman filter and to the raw Kinect measurements. The accuracy of the fused data was high, and it considerably improved data accuracy. The accuracy for both trackers was high, and both were more accurate than the Kalman filter tracker and the raw Kinect measurements. The developed methods are suitable for integration with immersive VR rehabilitation systems in the clinic and the home environments.
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Affiliation(s)
| | | | - Sigal Berman
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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12
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Le Franc S, Herrera Altamira G, Guillen M, Butet S, Fleck S, Lécuyer A, Bougrain L, Bonan I. Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives. Front Hum Neurosci 2022; 16:917909. [PMID: 35911589 PMCID: PMC9332194 DOI: 10.3389/fnhum.2022.917909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/20/2022] [Indexed: 11/28/2022] Open
Abstract
Stroke is a severe health issue, and motor recovery after stroke remains an important challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer interface, is a technique for modulating brain activity using on-line feedback that has proved to be useful in motor rehabilitation for the chronic stroke population in addition to traditional therapies. Nevertheless, its use and applications in the field still leave unresolved questions. The brain pathophysiological mechanisms after stroke remain partly unknown, and the possibilities for intervention on these mechanisms to promote cerebral plasticity are limited in clinical practice. In NFB motor rehabilitation, the aim is to adapt the therapy to the patient’s clinical context using brain imaging, considering the time after stroke, the localization of brain lesions, and their clinical impact, while taking into account currently used biomarkers and technical limitations. These modern techniques also allow a better understanding of the physiopathology and neuroplasticity of the brain after stroke. We conducted a narrative literature review of studies using NFB for post-stroke motor rehabilitation. The main goal was to decompose all the elements that can be modified in NFB therapies, which can lead to their adaptation according to the patient’s context and according to the current technological limits. Adaptation and individualization of care could derive from this analysis to better meet the patients’ needs. We focused on and highlighted the various clinical and technological components considering the most recent experiments. The second goal was to propose general recommendations and enhance the limits and perspectives to improve our general knowledge in the field and allow clinical applications. We highlighted the multidisciplinary approach of this work by combining engineering abilities and medical experience. Engineering development is essential for the available technological tools and aims to increase neuroscience knowledge in the NFB topic. This technological development was born out of the real clinical need to provide complementary therapeutic solutions to a public health problem, considering the actual clinical context of the post-stroke patient and the practical limits resulting from it.
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Affiliation(s)
- Salomé Le Franc
- Rehabilitation Medicine Unit, University Hospital of Rennes, Rennes, France
- Hybrid Team, Inria, University of Rennes, Irisa, UMR CNRS 6074, Rennes, France
- *Correspondence: Salomé Le Franc,
| | | | - Maud Guillen
- Hybrid Team, Inria, University of Rennes, Irisa, UMR CNRS 6074, Rennes, France
- Neurology Unit, University Hospital of Rennes, Rennes, France
| | - Simon Butet
- Rehabilitation Medicine Unit, University Hospital of Rennes, Rennes, France
- Empenn Unit U1228, Inserm, Inria, University of Rennes, Irisa, UMR CNRS 6074, Rennes, France
| | - Stéphanie Fleck
- Université de Lorraine, CNRS, LORIA, Nancy, France
- EA7312 Laboratoire de Psychologie Ergonomique et Sociale pour l’Expérience Utilisateurs (PERSEUS), Metz, France
| | - Anatole Lécuyer
- Hybrid Team, Inria, University of Rennes, Irisa, UMR CNRS 6074, Rennes, France
| | | | - Isabelle Bonan
- Rehabilitation Medicine Unit, University Hospital of Rennes, Rennes, France
- Empenn Unit U1228, Inserm, Inria, University of Rennes, Irisa, UMR CNRS 6074, Rennes, France
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13
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Bigoni C, Zandvliet SB, Beanato E, Crema A, Coscia M, Espinosa A, Henneken T, Hervé J, Oflar M, Evangelista GG, Morishita T, Wessel MJ, Bonvin C, Turlan JL, Birbaumer N, Hummel FC. A Novel Patient-Tailored, Cumulative Neurotechnology-Based Therapy for Upper-Limb Rehabilitation in Severely Impaired Chronic Stroke Patients: The AVANCER Study Protocol. Front Neurol 2022; 13:919511. [PMID: 35873764 PMCID: PMC9301337 DOI: 10.3389/fneur.2022.919511] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022] Open
Abstract
Effective, patient-tailored rehabilitation to restore upper-limb motor function in severely impaired stroke patients is still missing. If suitably combined and administered in a personalized fashion, neurotechnologies offer a large potential to assist rehabilitative therapies to enhance individual treatment effects. AVANCER (clinicaltrials.gov NCT04448483) is a two-center proof-of-concept trial with an individual based cumulative longitudinal intervention design aiming at reducing upper-limb motor impairment in severely affected stroke patients with the help of multiple neurotechnologies. AVANCER will determine feasibility, safety, and effectivity of this innovative intervention. Thirty chronic stroke patients with a Fugl-Meyer assessment of the upper limb (FM-UE) <20 will be recruited at two centers. All patients will undergo the cumulative personalized intervention within two phases: the first uses an EEG-based brain-computer interface to trigger a variety of patient-tailored movements supported by multi-channel functional electrical stimulation in combination with a hand exoskeleton. This phase will be continued until patients do not improve anymore according to a quantitative threshold based on the FM-UE. The second interventional phase will add non-invasive brain stimulation by means of anodal transcranial direct current stimulation to the motor cortex to the initial approach. Each phase will last for a minimum of 11 sessions. Clinical and multimodal assessments are longitudinally acquired, before the first interventional phase, at the switch to the second interventional phase and at the end of the second interventional phase. The primary outcome measure is the 66-point FM-UE, a significant improvement of at least four points is hypothesized and considered clinically relevant. Several clinical and system neuroscience secondary outcome measures are additionally evaluated. AVANCER aims to provide evidence for a safe, effective, personalized, adjuvant treatment for patients with severe upper-extremity impairment for whom to date there is no efficient treatment available.
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Affiliation(s)
- Claudia Bigoni
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Sarah B. Zandvliet
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Andrea Crema
- Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland
- Bertarelli Foundation Chair in Translational Neuroengineering, Centre for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Martina Coscia
- Wyss Center for Bio and Neuroengineering, Geneva, Switzerland
- confinis AG, Sursee, Switzerland
| | - Arnau Espinosa
- Wyss Center for Bio and Neuroengineering, Geneva, Switzerland
| | - Tina Henneken
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Julie Hervé
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Meltem Oflar
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Giorgia G. Evangelista
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | - Maximilian J. Wessel
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
| | | | - Jean-Luc Turlan
- Department of Neurological Rehabilitation, Clinique Romande de Réadaptation Suva, Sion, Switzerland
| | - Niels Birbaumer
- Department of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Friedhelm C. Hummel
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Clinique Romande de Réadaptation, Sion, Switzerland
- Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland
- *Correspondence: Friedhelm C. Hummel
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Mongiardini E, Colamarino E, Toppi J, de Seta V, Pichiorri F, Mattia D, Cincotti F. Low Frequency Brain Oscillations during the execution and imagination of simple hand movements for Brain-Computer Interface applications. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022; 2022:226-229. [PMID: 36086248 DOI: 10.1109/embc48229.2022.9871772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Low Frequency Brain Oscillations (LFOs) are brief periods of oscillatory activity in delta and lower theta band that appear at motor cortical areas before and around movement onset. It has been shown that LFO power decreases in post-stroke patients and re-emerges with motor functional recovery. To date, LFOs have not yet been explored during the motor execution (ME) and imagination (MI) of simple hand movements, often used in BCI-supported motor rehabilitation protocols post-stroke. This study aims at analyzing the LFOs during the ME and MI of the finger extension task in a sample of 10 healthy subjects and 2 stroke patients in subacute phase. The results showed that LFO power peaks occur in the preparatory phase of both ME and MI tasks on the sensorimotor channels in healthy subjects and their alterations in stroke patients. Clinical Relevance- Results suggest that LFOs could be explored as biomarker of the motor function recovery in rehabilitative protocols based on the movement imagination.
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15
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Humphries JB, Mattos DJS, Rutlin J, Daniel AGS, Rybczynski K, Notestine T, Shimony JS, Burton H, Carter A, Leuthardt EC. Motor Network Reorganization Induced in Chronic Stroke Patients with the Use of a Contralesionally-Controlled Brain Computer Interface. BRAIN-COMPUTER INTERFACES 2022. [DOI: 10.1080/2326263x.2022.2057757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Joseph B. Humphries
- Departments of Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Jerrel Rutlin
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Andy G. S. Daniel
- Departments of Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Theresa Notestine
- Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
| | - Joshua S. Shimony
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Harold Burton
- Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
| | - Alexandre Carter
- Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric C. Leuthardt
- Departments of Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
- Neurosurgery, Washington University in St. Louis, St. Louis, MO, USA
- Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, USA
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Qin Y, Li M, Li Y, Lu Y, Shi X, Cui G, Zhao H, Yang K. Brain-computer interface training for motor recovery after stroke. Hippokratia 2022. [DOI: 10.1002/14651858.cd015065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Yu Qin
- Evidence-Based Medicine Center, School of Basic Medical Sciences; Lanzhou University; Lanzhou China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province; Lanzhou University; Lanzhou China
| | - Meixuan Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences; Lanzhou University; Lanzhou China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province; Lanzhou University; Lanzhou China
| | - Yanfei Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences; Lanzhou University; Lanzhou China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province; Lanzhou University; Lanzhou China
| | - Yaqin Lu
- Department of Rehabilitation Medicine; Gansu Province Central Hospital; Lanzhou China
| | - Xiue Shi
- Shaanxi Kangfu Hospital; Xi'an China
| | - Gecheng Cui
- Evidence Based Social Science Research Center, School of Public Health; Lanzhou University; Lanzhou China
| | - Haitong Zhao
- Evidence Based Social Science Research Center, School of Public Health; Lanzhou University; Lanzhou China
| | - KeHu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences; Lanzhou University; Lanzhou China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province; Lanzhou University; Lanzhou China
- Evidence Based Social Science Research Center, School of Public Health; Lanzhou University; Lanzhou China
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17
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Munoz-Novoa M, Kristoffersen MB, Sunnerhagen KS, Naber A, Alt Murphy M, Ortiz-Catalan M. Upper Limb Stroke Rehabilitation Using Surface Electromyography: A Systematic Review and Meta-Analysis. Front Hum Neurosci 2022; 16:897870. [PMID: 35669202 PMCID: PMC9163806 DOI: 10.3389/fnhum.2022.897870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/25/2022] [Indexed: 11/17/2022] Open
Abstract
Background Upper limb impairment is common after stroke, and many will not regain full upper limb function. Different technologies based on surface electromyography (sEMG) have been used in stroke rehabilitation, but there is no collated evidence on the different sEMG-driven interventions and their effect on upper limb function in people with stroke. Aim Synthesize existing evidence and perform a meta-analysis on the effect of different types of sEMG-driven interventions on upper limb function in people with stroke. Methods PubMed, SCOPUS, and PEDro databases were systematically searched for eligible randomized clinical trials that utilize sEMG-driven interventions to improve upper limb function assessed by Fugl-Meyer Assessment (FMA-UE) in stroke. The PEDro scale was used to evaluate the methodological quality and the risk of bias of the included studies. In addition, a meta-analysis utilizing a random effect model was performed for studies comparing sEMG interventions to non-sEMG interventions and for studies comparing different sEMG interventions protocols. Results Twenty-four studies comprising 808 participants were included in this review. The methodological quality was good to fair. The meta-analysis showed no differences in the total effect, assessed by total FMA-UE score, comparing sEMG interventions to non-sEMG interventions (14 studies, 509 participants, SMD 0.14, P 0.37, 95% CI –0.18 to 0.46, I2 55%). Similarly, no difference in the overall effect was found for the meta-analysis comparing different types of sEMG interventions (7 studies, 213 participants, SMD 0.42, P 0.23, 95% CI –0.34 to 1.18, I2 73%). Twenty out of the twenty-four studies, including participants with varying impairment levels at all stages of stroke recovery, reported statistically significant improvements in upper limb function at post-sEMG intervention compared to baseline. Conclusion This review and meta-analysis could not discern the effect of sEMG in comparison to a non-sEMG intervention or the most effective type of sEMG intervention for improving upper limb function in stroke populations. Current evidence suggests that sEMG is a promising tool to further improve functional recovery, but randomized clinical trials with larger sample sizes are needed to verify whether the effect on upper extremity function of a specific sEMG intervention is superior compared to other non-sEMG or other type of sEMG interventions.
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Affiliation(s)
- Maria Munoz-Novoa
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Center for Bionics and Pain Research, Mölndal, Sweden
| | - Morten B Kristoffersen
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Katharina S Sunnerhagen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Section of Neurocare, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Autumn Naber
- Center for Bionics and Pain Research, Mölndal, Sweden
| | - Margit Alt Murphy
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Max Ortiz-Catalan
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Operational Area 3, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
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18
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Sjattar EL, Megawati I, Irwan AM, Majid S. Development of Supportive-Educative Range of Motion Exercise for Post-stroke Patients: A Pilot Study. HOME HEALTH CARE MANAGEMENT AND PRACTICE 2022. [DOI: 10.1177/10848223211035713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The purpose of this pilot study was to assess of home care intervention on post-stroke related outcome of range of motion and muscle strength. Sample in 40 participants were divided into the intervention group and control group and included in this study according to the following criteria: post-stroke period of <12 months with hemiparesis, age of ≥18 years, and willingness to participate in the study. The intervention was carried out by nurses by providing education for 2 consecutive days and mentoring for 5 consecutive days, while the control group was given standard care and measured using a grip track, handheld dynamometer, and goniometer examination on June to September 2019. For the intervention group, paired t-test analysis confirmed a significant increase in the mean upper extremity muscle strength before (35.770 ± 46.063) and after (51.073 ± 50.866) the 7 day intervention ( p = .002), whereas the control group showed a value 36.570 ± 33.684 and then 31.400 ± 31.760 p = .256 and lower extremity strength before (3.627 ± 1.585) and after (4.365 ± 1.698) the 7-days intervention ( p = .000), whereas the control group showed a value 3.657 ± 1.671 and then 4.043 ± 1.849 p = .013. Almost all the items assessed from Range of Motion (ROM) in the upper and lower extremities showed a significant increase ( p < .05). Supportive-educative ROM exercise significantly contributed to an increase in the average muscle strength and ROM in post-stroke patients.
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Affiliation(s)
| | | | | | - Sintawati Majid
- Hasanuddin University, Makassar, Indonesia
- Nurse in Enterostomal Therapy Nurse (ETN) Centre Indonesia, Makassar, Indonesia
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19
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Zhang JJ, Bai Z, Fong KNK. Priming Intermittent Theta Burst Stimulation for Hemiparetic Upper Limb After Stroke: A Randomized Controlled Trial. Stroke 2022; 53:2171-2181. [PMID: 35317611 DOI: 10.1161/strokeaha.121.037870] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Intermittent theta burst stimulation (iTBS) creates a state with increased excitability that permits treatment modalities to induce neuroplasticity and motor learning. Continuous theta burst stimulation before iTBS may induce metaplasticity and boost the facilitatory effect of iTBS. This study investigated the effects of priming iTBS (ie, applying continuous theta burst stimulation before iTBS) on poststroke hemiparetic upper limb recovery. METHODS In this randomized controlled trial, 42 patients with chronic stroke were recruited and randomly allocated to 10 sessions of either priming iTBS, nonpriming iTBS, or sham stimulation to the ipsilesional motor cortex, immediately before robot-assisted training. Outcomes included Fugl-Meyer Assessment-Upper Extremity, Action Research Arm Test and mean movement velocity during each robot-assisted training session. Twenty-one patients were enrolled for measuring the sensorimotor beta event-related desynchronization induced by either mirror visual feedback or movement. RESULTS The Fugl-Meyer Assessment-Upper Extremity scores revealed a significant time-by-group interaction (P=0.011). Priming and nonpriming iTBS were both superior to sham stimulation in post hoc comparisons; however, the superiority was diminished at follow-up. Among patients with a higher functioning upper limb, priming iTBS yielded a significantly greater improvement in Fugl-Meyer Assessment-Upper Extremity scores than nonpriming iTBS (P=0.025) and sham stimulation (P=0.029) did. No significant interaction was found when analyzing the Action Research Arm Test and mean movement velocity. Priming iTBS enhanced the patients' mirror visual feedback-induced high beta sensorimotor event-related desynchronization over their ipsilesional hemisphere. CONCLUSIONS Priming and nonpriming iTBS are both superior to sham stimulation in enhancing treatment gains from robot-assisted training, and patients with a higher functioning upper limb may experience more benefits from priming iTBS. Priming iTBS may facilitate poststroke motor learning by enhancing the permissiveness of the ipsilesional sensorimotor area to therapeutic sensory modalities, such as the mirror visual feedback. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT04034069.
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Affiliation(s)
- Jack Jiaqi Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR (J.J.Z., Z.B., K.N.K.F.)
| | - Zhongfei Bai
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR (J.J.Z., Z.B., K.N.K.F.).,Department of Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, China (Z.B.)
| | - Kenneth N K Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR (J.J.Z., Z.B., K.N.K.F.)
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20
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Huggins JE, Krusienski D, Vansteensel MJ, Valeriani D, Thelen A, Stavisky S, Norton JJS, Nijholt A, Müller-Putz G, Kosmyna N, Korczowski L, Kapeller C, Herff C, Halder S, Guger C, Grosse-Wentrup M, Gaunt R, Dusang AN, Clisson P, Chavarriaga R, Anderson CW, Allison BZ, Aksenova T, Aarnoutse E. Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier. BRAIN-COMPUTER INTERFACES 2022; 9:69-101. [PMID: 36908334 PMCID: PMC9997957 DOI: 10.1080/2326263x.2021.2009654] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/15/2021] [Indexed: 12/11/2022]
Abstract
The Eighth International Brain-Computer Interface (BCI) Meeting was held June 7-9th, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive nature with 21 workshops covering topics in BCI (also called brain-machine interface) research. As in the past, workshops covered the breadth of topics in BCI. Some workshops provided detailed examinations of specific methods, hardware, or processes. Others focused on specific BCI applications or user groups. Several workshops continued consensus building efforts designed to create BCI standards and increase the ease of comparisons between studies and the potential for meta-analysis and large multi-site clinical trials. Ethical and translational considerations were both the primary topic for some workshops or an important secondary consideration for others. The range of BCI applications continues to expand, with more workshops focusing on approaches that can extend beyond the needs of those with physical impairments. This paper summarizes each workshop, provides background information and references for further study, presents an overview of the discussion topics, and describes the conclusion, challenges, or initiatives that resulted from the interactions and discussion at the workshop.
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Affiliation(s)
- Jane E Huggins
- Department of Physical Medicine and Rehabilitation, Department of Biomedical Engineering, Neuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan, United States 325 East Eisenhower, Room 3017; Ann Arbor, Michigan 48108-5744, 734-936-7177
| | - Dean Krusienski
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23219
| | - Mariska J Vansteensel
- UMC Utrecht Brain Center, Dept of Neurosurgery, University Medical Center Utrecht, The Netherlands
| | | | - Antonia Thelen
- eemagine Medical Imaging Solutions GmbH, Berlin, Germany
| | | | - James J S Norton
- National Center for Adaptive Neurotechnologies, US Department of Veterans Affairs, 113 Holland Ave, Albany, NY 12208
| | - Anton Nijholt
- Faculty EEMCS, University of Twente, Enschede, The Netherlands
| | - Gernot Müller-Putz
- Institute of Neural Engineering, GrazBCI Lab, Graz University of Technology, Stremayrgasse 16/4, 8010 Graz, Austria
| | - Nataliya Kosmyna
- Massachusetts Institute of Technology (MIT), Media Lab, E14-548, Cambridge, MA 02139, Unites States
| | | | | | - Christian Herff
- School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Christoph Guger
- g.tec medical engineering GmbH/Guger Technologies OG, Austria, Sierningstrasse 14, 4521 Schiedlberg, Austria, +43725122240-0
| | - Moritz Grosse-Wentrup
- Research Group Neuroinformatics, Faculty of Computer Science, Vienna Cognitive Science Hub, Data Science @ Uni Vienna University of Vienna
| | - Robert Gaunt
- Rehab Neural Engineering Labs, Department of Physical Medicine and Rehabilitation, Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA, 3520 5th Ave, Suite 300, Pittsburgh, PA 15213, 412-383-1426
| | - Aliceson Nicole Dusang
- Department of Electrical and Computer Engineering, School of Engineering, Brown University, Carney Institute for Brain Science, Brown University, Providence, RI
- Department of Veterans Affairs Medical Center, Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Providence, RI
- Center for Neurotechnology and Neurorecovery, Neurology, Massachusetts General Hospital, Boston, MA
| | | | - Ricardo Chavarriaga
- IEEE Standards Association Industry Connections group on neurotechnologies for brain-machine interface, Center for Artificial Intelligence, School of Engineering, ZHAW-Zurich University of Applied Sciences, Switzerland, Switzerland
| | - Charles W Anderson
- Department of Computer Science, Molecular, Cellular and Integrative Neurosience Program, Colorado State University, Fort Collins, CO 80523
| | - Brendan Z Allison
- Dept. of Cognitive Science, Mail Code 0515, University of California at San Diego, La Jolla, United States, 619-534-9754
| | - Tetiana Aksenova
- University Grenoble Alpes, CEA, LETI, Clinatec, Grenoble 38000, France
| | - Erik Aarnoutse
- UMC Utrecht Brain Center, Department of Neurology & Neurosurgery, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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21
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Papadopoulos S, Bonaiuto J, Mattout J. An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces. Front Neurosci 2022; 15:824759. [PMID: 35095410 PMCID: PMC8789741 DOI: 10.3389/fnins.2021.824759] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/21/2021] [Indexed: 01/11/2023] Open
Abstract
The development of reliable assistive devices for patients that suffer from motor impairments following central nervous system lesions remains a major challenge in the field of non-invasive Brain-Computer Interfaces (BCIs). These approaches are predominated by electroencephalography and rely on advanced signal processing and machine learning methods to extract neural correlates of motor activity. However, despite tremendous and still ongoing efforts, their value as effective clinical tools remains limited. We advocate that a rather overlooked research avenue lies in efforts to question neurophysiological markers traditionally targeted in non-invasive motor BCIs. We propose an alternative approach grounded by recent fundamental advances in non-invasive neurophysiology, specifically subject-specific feature extraction of sensorimotor bursts of activity recorded via (possibly magnetoencephalography-optimized) electroencephalography. This path holds promise in overcoming a significant proportion of existing limitations, and could foster the wider adoption of online BCIs in rehabilitation protocols.
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Affiliation(s)
- Sotirios Papadopoulos
- University Lyon 1, Lyon, France
- Lyon Neuroscience Research Center, CRNL, INSERM, U1028, CNRS, UMR 5292, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Bron, France
- *Correspondence: Sotirios Papadopoulos,
| | - James Bonaiuto
- University Lyon 1, Lyon, France
- Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, Bron, France
| | - Jérémie Mattout
- University Lyon 1, Lyon, France
- Lyon Neuroscience Research Center, CRNL, INSERM, U1028, CNRS, UMR 5292, Lyon, France
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22
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Neuromuscular electrical stimulation restores upper limb sensory-motor functions and body representations in chronic stroke survivors. MED 2022; 3:58-74.e10. [DOI: 10.1016/j.medj.2021.12.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/08/2021] [Accepted: 11/30/2021] [Indexed: 11/23/2022]
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23
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Tangmanee N, Muengtaweepongsa S, Limtrakarn W. Development of a DIY rehabilitation device for lower limb weakness in acute to subacute ischemic stroke. MethodsX 2021; 9:101582. [PMID: 34917489 PMCID: PMC8666558 DOI: 10.1016/j.mex.2021.101582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/13/2021] [Indexed: 10/25/2022] Open
Abstract
Many patients have significantly lower limb weakness after getting a stroke. Continuous regular physical therapy is essential to promote the improvement of the weakness and overall outcomes. Home rehabilitation provides motivation and enhances regular rehabilitation in stroke patients. The Do-It-Yourself (DIY) medical device is developed to fill the gap of unmet medical management needs and becomes increasingly applied in rehabilitation. The DIY device should support the concept of home rehabilitation in stroke patients. We designed and developed a low-cost, easy-to-use, DIY rehabilitation device to promote regular physical therapy in stroke patients with lower limb weakness. The methods and rationale of device development were described. The feasibility and safety of the device were also evaluated.•The DIY rehabilitation device for the lower limb is convenient and easy to assembly.•Regular home rehabilitation is enhanced with the DIY rehabilitation device.•The device is feasible and safe for physical therapy in stroke patients with lower limb weakness.
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Affiliation(s)
- Noppamad Tangmanee
- Medical Engineering Program, Faculty of Engineering, Thammasat University, Pathum Thani 12120, Thailand
| | - Sombat Muengtaweepongsa
- Excellence Center in Stroke, Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathum Thani 12120, Thailand
| | - Wiroj Limtrakarn
- Department of Mechanical Engineering, Faculty of Engineering, Thammasat University, Pathum Thani 12120, Thailand
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24
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Angerhöfer C, Colucci A, Vermehren M, Hömberg V, Soekadar SR. Post-stroke Rehabilitation of Severe Upper Limb Paresis in Germany - Toward Long-Term Treatment With Brain-Computer Interfaces. Front Neurol 2021; 12:772199. [PMID: 34867760 PMCID: PMC8637332 DOI: 10.3389/fneur.2021.772199] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/29/2021] [Indexed: 12/03/2022] Open
Abstract
Severe upper limb paresis can represent an immense burden for stroke survivors. Given the rising prevalence of stroke, restoration of severe upper limb motor impairment remains a major challenge for rehabilitation medicine because effective treatment strategies are lacking. Commonly applied interventions in Germany, such as mirror therapy and impairment-oriented training, are limited in efficacy, demanding for new strategies to be found. By translating brain signals into control commands of external devices, brain-computer interfaces (BCIs) and brain-machine interfaces (BMIs) represent promising, neurotechnology-based alternatives for stroke patients with highly restricted arm and hand function. In this mini-review, we outline perspectives on how BCI-based therapy can be integrated into the different stages of neurorehabilitation in Germany to meet a long-term treatment approach: We found that it is most appropriate to start therapy with BCI-based neurofeedback immediately after early rehabilitation. BCI-driven functional electrical stimulation (FES) and BMI robotic therapy are well suited for subsequent post hospital curative treatment in the subacute stage. BCI-based hand exoskeleton training can be continued within outpatient occupational therapy to further improve hand function and address motivational issues in chronic stroke patients. Once the rehabilitation potential is exhausted, BCI technology can be used to drive assistive devices to compensate for impaired function. However, there are several challenges yet to overcome before such long-term treatment strategies can be implemented within broad clinical application: 1. developing reliable BCI systems with better usability; 2. conducting more research to improve BCI training paradigms and 3. establishing reliable methods to identify suitable patients.
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Affiliation(s)
- Cornelius Angerhöfer
- Clinical Neurotechnology Lab, Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Annalisa Colucci
- Clinical Neurotechnology Lab, Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Mareike Vermehren
- Clinical Neurotechnology Lab, Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Volker Hömberg
- Department of Neurology, SRH Gesundheitszentrum Bad Wimpfen GmbH, Bad Wimpfen, Germany
| | - Surjo R Soekadar
- Clinical Neurotechnology Lab, Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Berlin, Germany
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25
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Andrabi M, Taub E, Mckay Bishop S, Morris D, Uswatte G. Acceptability of constraint induced movement therapy: influence of perceived difficulty and expected treatment outcome. Top Stroke Rehabil 2021; 29:507-515. [PMID: 34425065 DOI: 10.1080/10749357.2021.1956046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Constraint-Induced Movement (CI) Therapy has evidence of efficaciously rehabilitating upper-extremity hemiparesis after stroke. Yet, it is not widely used in the United States. One barrier appears to be the perception of its difficulty among stroke care consumers, as reported by two published studies in which the participants had little or no apparent direct exposure to CI Therapy. OBJECTIVES Assess the perception of difficulty of CI Therapy by individuals with chronic stroke who have actually undergone CI Therapy. METHODS A secondary analysis was conducted of data from two randomized controlled trials of CI Therapy. Participants had chronic, mild-to-moderate upper-extremity hemiparesis after stroke. The Motor Activity Log and Wolf Motor Function Test were used to measure motor function of the more-affected arm. A Patient Opinion Survey assessed participants' perception of difficulty and satisfaction with treatment. RESULTS The participants (N = 40) showed large improvements in motor function of their more-affected arm after treatment, p's <001. CI Therapy was perceived to be of only moderate difficulty by participants before treatment (mean = 4.4 out of 7). Perception of its difficulty decreased afterward (mean = 3.7, p = .002). Moreover, participants were highly satisfied with their outcomes (mean = 6.3 out of 7). Satisfaction was positively related to the improvements in more-affected arm use in everyday life, ΔR2 = .3, p < .001. CONCLUSIONS Chronic stroke survivors who have actually had CI Therapy perceive it to be of only moderate difficulty and are highly satisfied. Negative views about its acceptability warrant reconsideration.
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Affiliation(s)
- Mudasir Andrabi
- Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, US
| | - Edward Taub
- Department of Psychology, University of Alabama at Birmingham, AL, Birmingham, USA
| | - Staci Mckay Bishop
- Department of Psychology, University of Alabama at Birmingham, AL, Birmingham, USA
| | - David Morris
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gitendra Uswatte
- Department of Psychology, University of Alabama at Birmingham, AL, Birmingham, USA.,Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
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26
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The disrupted topological properties of structural networks showed recovery in ischemic stroke patients: a longitudinal design study. BMC Neurosci 2021; 22:47. [PMID: 34340655 PMCID: PMC8330082 DOI: 10.1186/s12868-021-00652-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 07/22/2021] [Indexed: 12/12/2022] Open
Abstract
Introduction Stroke is one of the leading causes of substantial disability worldwide. Previous studies have shown brain functional and structural alterations in adults with stroke. However, few studies have examined the longitudinal reorganization in whole-brain structural networks in stroke. Methods Here, we applied graph theoretical analysis to investigate the longitudinal topological organization of white matter networks in 20 ischemic stroke patients with a one-month interval between two timepoints. Two sets of clinical scores, Fugl-Meyer motor assessment (FMA) and neurological deficit scores (NDS), were assessed for all patients on the day the image data were collected. Results The stroke patients exhibited significant increases in FMA scores and significant reductions in DNS between the two timepoints. All groups exhibited small-world organization (σ > 1) in the brain structural network, including a high clustering coefficient (γ > 1) and a low normalized characteristic path length (λ ≈ 1). However, compared to healthy controls, stroke patients showed significant decrease in nodal characteristics at the first timepoint, primarily in the right supplementary motor area, right middle temporal gyrus, right inferior parietal lobe, right postcentral gyrus and left posterior cingulate gyrus. Longitudinal results demonstrated that altered nodal characteristics were partially restored one month later. Additionally, significant correlations between the nodal characteristics of the right supplementary motor area and the clinical scale scores (FMA and NDS) were observed in stroke patients. Similar behavioral-neuroimaging correlations were found in the right inferior parietal lobe. Conclusion Altered topological properties may be an effect of stroke, which can be modulated during recovery. The longitudinal results and the neuroimaging-behavioral relationship may provide information for understanding brain recovery from stroke. Future studies should detect whether observed changes in structural topological properties can predict the recovery of daily cognitive function in stroke. Supplementary Information The online version contains supplementary material available at 10.1186/s12868-021-00652-1.
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27
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Simon C, Bolton DAE, Kennedy NC, Soekadar SR, Ruddy KL. Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation. Front Neurosci 2021; 15:699428. [PMID: 34276299 PMCID: PMC8282929 DOI: 10.3389/fnins.2021.699428] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/08/2021] [Indexed: 12/18/2022] Open
Abstract
Brain-computer interfaces (BCIs) provide a unique technological solution to circumvent the damaged motor system. For neurorehabilitation, the BCI can be used to translate neural signals associated with movement intentions into tangible feedback for the patient, when they are unable to generate functional movement themselves. Clinical interest in BCI is growing rapidly, as it would facilitate rehabilitation to commence earlier following brain damage and provides options for patients who are unable to partake in traditional physical therapy. However, substantial challenges with existing BCI implementations have prevented its widespread adoption. Recent advances in knowledge and technology provide opportunities to facilitate a change, provided that researchers and clinicians using BCI agree on standardisation of guidelines for protocols and shared efforts to uncover mechanisms. We propose that addressing the speed and effectiveness of learning BCI control are priorities for the field, which may be improved by multimodal or multi-stage approaches harnessing more sensitive neuroimaging technologies in the early learning stages, before transitioning to more practical, mobile implementations. Clarification of the neural mechanisms that give rise to improvement in motor function is an essential next step towards justifying clinical use of BCI. In particular, quantifying the unknown contribution of non-motor mechanisms to motor recovery calls for more stringent control conditions in experimental work. Here we provide a contemporary viewpoint on the factors impeding the scalability of BCI. Further, we provide a future outlook for optimal design of the technology to best exploit its unique potential, and best practices for research and reporting of findings.
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Affiliation(s)
- Colin Simon
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - David A. E. Bolton
- Department of Kinesiology and Health Science, Utah State University, Logan, UT, United States
| | - Niamh C. Kennedy
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Surjo R. Soekadar
- Clinical Neurotechnology Laboratory, Neurowissenschaftliches Forschungszentrum, Department of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Kathy L. Ruddy
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
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28
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Conti S, Spalletti C, Pasquini M, Giordano N, Barsotti N, Mainardi M, Lai S, Giorgi A, Pasqualetti M, Micera S, Caleo M. Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery. Prog Neurobiol 2021; 203:102073. [PMID: 33984455 DOI: 10.1016/j.pneurobio.2021.102073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 04/22/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Abstract
Despite recent progresses in robotic rehabilitation technologies, their efficacy for post-stroke motor recovery is still limited. Such limitations might stem from the insufficient enhancement of plasticity mechanisms, crucial for functional recovery. Here, we designed a clinically relevant strategy that combines robotic rehabilitation with chemogenetic stimulation of serotonin release to boost plasticity. These two approaches acted synergistically to enhance post-stroke motor performance. Indeed, mice treated with our combined therapy showed substantial functional gains that persisted beyond the treatment period and generalized to non-trained tasks. Motor recovery was associated with a reduction in electrophysiological and neuroanatomical markers of GABAergic neurotransmission, suggesting disinhibition in perilesional areas. To unveil the translational potentialities of our approach, we specifically targeted the serotonin 1A receptor by delivering Buspirone, a clinically approved drug, in stroke mice undergoing robotic rehabilitation. Administration of Buspirone restored motor impairments similarly to what observed with chemogenetic stimulation, showing the immediate translational potential of this combined approach to significantly improve motor recovery after stroke.
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Affiliation(s)
- S Conti
- Translational Neural Engineering Area, The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - C Spalletti
- Institute of Neuroscience, National Research Council (CNR), Pisa, Italy
| | - M Pasquini
- Translational Neural Engineering Area, The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - N Giordano
- Institute of Neuroscience, National Research Council (CNR), Pisa, Italy
| | - N Barsotti
- Unit of Cell and Developmental Biology, Department of Biology, University of Pisa, Italy
| | - M Mainardi
- Institute of Neuroscience, National Research Council (CNR), Pisa, Italy
| | - S Lai
- Translational Neural Engineering Area, The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - A Giorgi
- Unit of Cell and Developmental Biology, Department of Biology, University of Pisa, Italy
| | - M Pasqualetti
- Unit of Cell and Developmental Biology, Department of Biology, University of Pisa, Italy; Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - S Micera
- Translational Neural Engineering Area, The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Bertarelli Foundation Chair in Translational NeuroEngineering Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Centre for Neuroprosthetics and Institute of Bioengineering, Lausanne, Switzerland.
| | - M Caleo
- Institute of Neuroscience, National Research Council (CNR), Pisa, Italy; Department of Biomedical Sciences, University of Padova, Italy.
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Hybbinette H, Schalling E, Plantin J, Nygren-Deboussard C, Schütz M, Östberg P, Lindberg PG. Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke. Front Neurol 2021; 12:634065. [PMID: 33868144 PMCID: PMC8044583 DOI: 10.3389/fneur.2021.634065] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/03/2021] [Indexed: 12/19/2022] Open
Abstract
Objective: Aphasia and apraxia of speech (AOS) after stroke frequently co-occur with a hand motor impairment but few studies have investigated stroke recovery across motor and speech-language domains. In this study, we set out to test the shared recovery hypothesis. We aimed to (1) describe the prevalence of AOS and aphasia in subacute stroke patients with a hand motor impairment and (2) to compare recovery across speech-language and hand motor domains. In addition, we also explored factors predicting recovery from AOS. Methods: Seventy participants with mild to severe paresis in the upper extremity were assessed; 50% of these (n = 35) had left hemisphere (LH) lesions. Aphasia, AOS and hand motor assessments and magnetic resonance imaging were conducted at 4 weeks (A1) and at 6 months (A2) after stroke onset. Recovery was characterized in 15 participants showing initial aphasia that also had complete follow-up data at 6 months. Results: All participants with AOS and/or aphasia had LH lesions. In LH lesioned, the prevalence of aphasia was 71% and of AOS 57%. All participants with AOS had aphasia; 80% of the participants with aphasia also had AOS. Recovery in aphasia (n = 15) and AOS (n = 12) followed a parallel pattern to that observed in hand motor impairment and recovery correlated positively across speech-language and motor domains. The majority of participants with severe initial aphasia and AOS showed a limited but similar amount of recovery across domains. Lesion volume did not correlate with results from behavioral assessments, nor with recovery. The initial aphasia score was the strongest predictor of AOS recovery. Conclusion: Our findings confirm the common occurrence of AOS and aphasia in left hemisphere stroke patients with a hand motor impairment. Recovery was similar across speech-language and motor domains, even in patients with severe impairment, supporting the shared recovery hypothesis and that similar brain recovery mechanisms are involved in speech-language and motor recovery post stroke. These observations contribute to the knowledge of AOS and its relation to motor and language functions and add information that may serve as a basis for future studies of post stroke recovery. Studies including neuroimaging and/or biological assays are required to gain further knowledge on shared brain recovery mechanisms.
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Affiliation(s)
- Helena Hybbinette
- Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Stockholm, Sweden
- Department of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
| | - Ellika Schalling
- Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, Stockholm, Sweden
- Medical Unit Speech and Language Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Jeanette Plantin
- Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Stockholm, Sweden
- Department of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
| | - Catharina Nygren-Deboussard
- Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Stockholm, Sweden
- Department of Rehabilitation Medicine, Danderyd University Hospital, Stockholm, Sweden
| | - Marika Schütz
- Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Per Östberg
- Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, Stockholm, Sweden
- Medical Unit Speech and Language Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Påvel G. Lindberg
- Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Stockholm, Sweden
- Institut de Psychiatrie et Neurosciences Paris, Inserm U1266, Université de Paris, Paris, France
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30
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Boltze J, Aronowski JA, Badaut J, Buckwalter MS, Caleo M, Chopp M, Dave KR, Didwischus N, Dijkhuizen RM, Doeppner TR, Dreier JP, Fouad K, Gelderblom M, Gertz K, Golubczyk D, Gregson BA, Hamel E, Hanley DF, Härtig W, Hummel FC, Ikhsan M, Janowski M, Jolkkonen J, Karuppagounder SS, Keep RF, Koerte IK, Kokaia Z, Li P, Liu F, Lizasoain I, Ludewig P, Metz GAS, Montagne A, Obenaus A, Palumbo A, Pearl M, Perez-Pinzon M, Planas AM, Plesnila N, Raval AP, Rueger MA, Sansing LH, Sohrabji F, Stagg CJ, Stetler RA, Stowe AM, Sun D, Taguchi A, Tanter M, Vay SU, Vemuganti R, Vivien D, Walczak P, Wang J, Xiong Y, Zille M. New Mechanistic Insights, Novel Treatment Paradigms, and Clinical Progress in Cerebrovascular Diseases. Front Aging Neurosci 2021; 13:623751. [PMID: 33584250 PMCID: PMC7876251 DOI: 10.3389/fnagi.2021.623751] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/04/2021] [Indexed: 12/13/2022] Open
Abstract
The past decade has brought tremendous progress in diagnostic and therapeutic options for cerebrovascular diseases as exemplified by the advent of thrombectomy in ischemic stroke, benefitting a steeply increasing number of stroke patients and potentially paving the way for a renaissance of neuroprotectants. Progress in basic science has been equally impressive. Based on a deeper understanding of pathomechanisms underlying cerebrovascular diseases, new therapeutic targets have been identified and novel treatment strategies such as pre- and post-conditioning methods were developed. Moreover, translationally relevant aspects are increasingly recognized in basic science studies, which is believed to increase their predictive value and the relevance of obtained findings for clinical application.This review reports key results from some of the most remarkable and encouraging achievements in neurovascular research that have been reported at the 10th International Symposium on Neuroprotection and Neurorepair. Basic science topics discussed herein focus on aspects such as neuroinflammation, extracellular vesicles, and the role of sex and age on stroke recovery. Translational reports highlighted endovascular techniques and targeted delivery methods, neurorehabilitation, advanced functional testing approaches for experimental studies, pre-and post-conditioning approaches as well as novel imaging and treatment strategies. Beyond ischemic stroke, particular emphasis was given on activities in the fields of traumatic brain injury and cerebral hemorrhage in which promising preclinical and clinical results have been reported. Although the number of neutral outcomes in clinical trials is still remarkably high when targeting cerebrovascular diseases, we begin to evidence stepwise but continuous progress towards novel treatment options. Advances in preclinical and translational research as reported herein are believed to have formed a solid foundation for this progress.
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Affiliation(s)
- Johannes Boltze
- School of Life Sciences, University of Warwick, Warwick, United Kingdom
| | - Jaroslaw A Aronowski
- Institute for Stroke and Cerebrovascular Diseases, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Jerome Badaut
- NRS UMR 5287, INCIA, Brain Molecular Imaging Team, University of Bordeaux, Bordeaux cedex, France
| | - Marion S Buckwalter
- Departments of Neurology and Neurological Sciences, and Neurosurgery, Wu Tsai Neurosciences Institute, Stanford School of Medicine, Stanford, CA, United States
| | - Mateo Caleo
- Neuroscience Institute, National Research Council, Pisa, Italy.,Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Michael Chopp
- Department of Neurology, Henry Ford Hospital, Detroit, MI, United States.,Department of Physics, Oakland University, Rochester, MI, United States
| | - Kunjan R Dave
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratory, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Nadine Didwischus
- School of Life Sciences, University of Warwick, Warwick, United Kingdom
| | - Rick M Dijkhuizen
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands
| | - Thorsten R Doeppner
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Jens P Dreier
- Department of Neurology, Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.,Einstein Center for Neurosciences Berlin, Berlin, Germany
| | - Karim Fouad
- Faculty of Rehabilitation Medicine and Institute for Neuroscience and Mental Health, University of Alberta, Edmonton, AB, Canada
| | - Mathias Gelderblom
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karen Gertz
- Department of Neurology, Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health, Berlin, Germany
| | - Dominika Golubczyk
- Department of Neurosurgery, School of Medicine, University of Warmia and Mazury, Olsztyn, Poland
| | - Barbara A Gregson
- Neurosurgical Trials Group, Institute of Neuroscience, The University of Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom
| | - Edith Hamel
- Laboratory of Cerebrovascular Research, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Daniel F Hanley
- Division of Brain Injury Outcomes, Johns Hopkins University, Baltimore, MD, United States
| | - Wolfgang Härtig
- Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany
| | - Friedhelm C Hummel
- Clinical Neuroengineering, Center for Neuroprosthetics and Brain Mind Institute, Swiss Federal Institute of Technology Valais, Clinique Romande de Réadaptation, Sion, Switzerland.,Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland
| | - Maulana Ikhsan
- Institute for Experimental and Clinical Pharmacology and Toxicology, University of Lübeck, Lübeck, Germany.,Fraunhofer Research Institution for Marine Biotechnology and Cell Technology, Lübeck, Germany.,Institute for Medical and Marine Biotechnology, University of Lübeck, Lübeck, Germany
| | - Miroslaw Janowski
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Jukka Jolkkonen
- Department of Neurology, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Saravanan S Karuppagounder
- Burke Neurological Institute, White Plains, NY, United States.,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
| | - Richard F Keep
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
| | - Inga K Koerte
- Psychiatric Neuroimaging Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.,Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig Maximilians University, Munich, Germany
| | - Zaal Kokaia
- Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Peiying Li
- Department of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Fudong Liu
- Department of Neurology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, United States
| | - Ignacio Lizasoain
- Unidad de Investigación Neurovascular, Departamento Farmacología y Toxicología, Facultad de Medicina, Instituto Universitario de Investigación en Neuroquímica, Universidad Complutense de Madrid, Madrid, Spain
| | - Peter Ludewig
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerlinde A S Metz
- Department of Neuroscience, Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
| | - Axel Montagne
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Andre Obenaus
- Department of Pediatrics, University of California, Irvine, Irvine, CA, United States
| | - Alex Palumbo
- Institute for Experimental and Clinical Pharmacology and Toxicology, University of Lübeck, Lübeck, Germany.,Fraunhofer Research Institution for Marine Biotechnology and Cell Technology, Lübeck, Germany.,Institute for Medical and Marine Biotechnology, University of Lübeck, Lübeck, Germany
| | - Monica Pearl
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Miguel Perez-Pinzon
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratory, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Anna M Planas
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Àrea de Neurociències, Barcelona, Spain.,Department d'Isquèmia Cerebral I Neurodegeneració, Institut d'Investigacions Biomèdiques de Barcelona (IIBB), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - Nikolaus Plesnila
- Institute for Stroke and Dementia Research (ISD), Munich University Hospital, Munich, Germany.,Graduate School of Systemic Neurosciences (GSN), Munich University Hospital, Munich, Germany.,Munich Cluster of Systems Neurology (Synergy), Munich, Germany
| | - Ami P Raval
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratory, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Maria A Rueger
- Faculty of Medicine and University Hospital, Department of Neurology, University of Cologne, Cologne, Germany
| | - Lauren H Sansing
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Farida Sohrabji
- Women's Health in Neuroscience Program, Neuroscience and Experimental Therapeutics, Texas A&M College of Medicine, Bryan, TX, United States
| | - Charlotte J Stagg
- Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom.,MRC Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom
| | - R Anne Stetler
- Department of Neurology, Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ann M Stowe
- Department of Neurology and Neurotherapeutics, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, United States
| | - Dandan Sun
- Pittsburgh Institute for Neurodegenerative Disorders, University of Pittsburgh, PA, United States
| | - Akihiko Taguchi
- Department of Regenerative Medicine Research, Institute of Biomedical Research and Innovation, Kobe, Japan
| | - Mickael Tanter
- Institute of Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE 2031, PSL University, Paris, France
| | - Sabine U Vay
- Faculty of Medicine and University Hospital, Department of Neurology, University of Cologne, Cologne, Germany
| | - Raghu Vemuganti
- Department of Neurological Surgery, University of Wisconsin, Madison, WI, United States
| | - Denis Vivien
- UNICAEN, INSERM, INSERM UMR-S U1237, Physiopathology and Imaging for Neurological Disorders (PhIND), Normandy University, Caen, France.,CHU Caen, Clinical Research Department, CHU de Caen Côte de Nacre, Caen, France
| | - Piotr Walczak
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States
| | - Jian Wang
- Department of Human Anatomy, College of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Ye Xiong
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, United States
| | - Marietta Zille
- Institute for Experimental and Clinical Pharmacology and Toxicology, University of Lübeck, Lübeck, Germany.,Fraunhofer Research Institution for Marine Biotechnology and Cell Technology, Lübeck, Germany.,Institute for Medical and Marine Biotechnology, University of Lübeck, Lübeck, Germany
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Tan Y, Zhou F, Yang D, Zhang X, Zeng M, Wan L. MicroRNA-126a-5p Exerts Neuroprotective Effects on Ischemic Stroke via Targeting NADPH Oxidase 2. Neuropsychiatr Dis Treat 2021; 17:2089-2103. [PMID: 34234438 PMCID: PMC8242150 DOI: 10.2147/ndt.s293611] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 05/14/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Ischemic stroke is a destructive cerebrovascular disorder related to oxidative stress; NOX2 is a major source for ROS production; and miR-126a-5p is involved in several diseases, such as abdominal aortic aneurysm. We investigated the role of miR-126a-5p in regulating NOX2 in ischemic stroke. METHODS MiR-126a-5p and NOX2 were examined in the brains of rats subjected to cerebral ischemia/reperfusion (I/R) by RT-PCR and Western blot. MiR-126a-5p agomir was delivered to examine the effects of miR-126a-5p on I/R injury. The neurological deficit, infarct volume, and brain water content were evaluated. NOX activity, ROS production, and MDA and SOD levels were detected to assess oxidative stress. H&E staining was used to examine cell state. Apoptosis was evaluated by TUNEL, caspase-3 activity, and cleaved-caspase-3 protein level. The relationship between miR-126a-5p and NOX2 was analyzed by bioinformatics and luciferase reporter assay. MiR-126a-5p mimic, miR-126a-5p inhibitor, or pcDNA-NOX2 were transfected in SH-SY5Y cells to further assess the effects of miR-126a-5p on OGD/R-induced cells injury. RESULTS NOX2 was upregulated and miR-126a-5p was down-regulated in the brains of I/R rats. MiR-126a-5p agomir obviously reduced the neurological deficit, infarct volume, brain water content, oxidative stress, and apoptosis in I/R rats. MiR-126a-5p targeted NOX2 directly and regulated NOX2 negatively. Moreover, miR-126a-5p mimic elevated cell viability and inhibited oxidative stress and apoptosis in OGD/R-treated SH-SY5Y cells, while miR-126a-5p inhibitor had the opposite effects. NOX2 overexpression antagonized the protective effects of miR-126a-5p mimic on OGD/R-induced cell injury. CONCLUSION MiR-126a-5p is a novel potential target for ischemic stroke therapy due to its protection against cerebral I/R injury via directly targeting NOX2.
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Affiliation(s)
- Yu Tan
- Department of Neurology, The Third Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, 330008, People's Republic of China
| | - Feng Zhou
- Department of Neurology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai City, Guangdong Province, 519000, People's Republic of China
| | - Dejiang Yang
- Department of Neurology, The Third Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, 330008, People's Republic of China
| | - Xiaowei Zhang
- Department of Neurology, The Third Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, 330008, People's Republic of China
| | - Meihong Zeng
- Department of Neurology, The Third Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, 330008, People's Republic of China
| | - Lei Wan
- Department of Neurology, The Third Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, 330008, People's Republic of China
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Xiuyun W, Qian W, Minjun X, Weidong L, Lizhen L. Education and stroke: evidence from epidemiology and Mendelian randomization study. Sci Rep 2020; 10:21208. [PMID: 33273579 PMCID: PMC7713498 DOI: 10.1038/s41598-020-78248-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 11/13/2020] [Indexed: 01/09/2023] Open
Abstract
We aim to characterize the association between education and incident stroke (including total stroke, ischemic stroke, and hemorrhagic stroke) and assess whether there is a causal relationship between them. The final sample size was 11,509 in this study from the Atherosclerosis Risk in Communities (ARIC) study. Cox hazard regression models were used to explore the association between education level and incident stroke. Two-sample Mendelian randomization (MR) was used to estimate the causality. During a median follow-up of 25.3 years, 915 cases (8.0%) of stroke occurred. Participants with advanced education level were associated with 25% (HR 0.75; 95% CI 0.62, 0.91) decreased the rate of incident total stroke. Hazard ratio of intermediate and advanced education level for ischemic stroke were 0.82 (0.69, 0.98) and 0.73 (0.60, 0.90) separately. In the MR analysis, we observed evidence that education was likely a negetive causal risk factor for ischemic stroke (OR 0.764, 95% CI 0.585-0.998, P = 0.048). Higher education level was associated with a decreased rate of total stroke and ischemic stroke incident, but not hemorrhagic stroke incident. There might be a protective causal association between education and ischemic stroke (but not total stroke nor hemorrhagic stroke).
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Affiliation(s)
- Wen Xiuyun
- Institute of Health, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China
- Guangdong Engineering Research Center for Light and Health, Guangzhou Higher Education Mega Center, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China
| | - Wu Qian
- Department of Psychology, Sun Yet-Sen University, Guangzhou, GuangDong, People's Republic of China
- The Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, GuangDong, People's Republic of China
| | - Xie Minjun
- The Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, GuangDong, People's Republic of China
| | - Li Weidong
- Institute of Health, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China
- Guangdong Engineering Research Center for Light and Health, Guangzhou Higher Education Mega Center, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China
| | - Liao Lizhen
- Institute of Health, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China.
- Guangdong Engineering Research Center for Light and Health, Guangzhou Higher Education Mega Center, Guangdong Pharmaceutical University, Guangzhou, GuangDong, People's Republic of China.
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33
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Andereggen L, Widmer HR, Santo SD, Andres RH. Functional muscle strength recovery from nail gun injury to the primary motor cortex. Regen Med 2020; 15:1603-1609. [PMID: 32609065 DOI: 10.2217/rme-2019-0146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Aim: Functional recovery following injury to the primary motor cortex is an uncommon phenomenon, given the limited ability of neurons of the adult central nervous system to regenerate. Case description: We report on a patient with near complete functional muscle strength recovery from a marked monoparesis due to nail gun injury to the medial primary motor cortex. Besides surgical decision-making, we discuss possible related mechanisms and current challenges in the regenerative processes responsible for the functional recovery. Discussion: To achieve a favorable outcome, surgical decision-making to prevent secondary damage is of upmost importance. Lesion-induced inflammatory response may potentiate endogenous neurogenesis and neuronal plasticity and potentially contribute to the regenerative process involved.
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Affiliation(s)
- Lukas Andereggen
- Department of Neurosurgery, Neurocenter & Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
| | - Hans Rudolf Widmer
- Department of Neurosurgery, Neurocenter & Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
| | - Stefano Di Santo
- Department of Neurosurgery, Neurocenter & Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
| | - Robert Hans Andres
- Department of Neurosurgery, Neurocenter & Regenerative Neuroscience Cluster, Inselspital, Bern University Hospital, University of Bern, CH-3010 Bern, Switzerland
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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; 20:254. [PMID: 32593293 PMCID: PMC7320550 DOI: 10.1186/s12883-020-01826-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 06/10/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Stroke is a leading cause of long-term disability. Cost-effective post-stroke rehabilitation programs for upper limb are critically needed. Brain-Computer Interfaces (BCIs) which enable the modulation of Electroencephalography (EEG) sensorimotor rhythms are promising tools to promote post-stroke recovery of upper limb motor function. The "Promotoer" study intends to boost the application of the EEG-based BCIs in clinical practice providing evidence for a short/long-term efficacy in enhancing post-stroke hand functional motor recovery and quantifiable indices of the participants response to a BCI-based intervention. To these aims, a longitudinal study will be performed in which subacute stroke participants will undergo a hand motor imagery (MI) training assisted by the Promotoer system, an EEG-based BCI system fully compliant with rehabilitation requirements. METHODS This longitudinal 2-arm randomized controlled superiority trial will include 48 first ever, unilateral, subacute stroke participants, randomly assigned to 2 intervention groups: the BCI-assisted hand MI training and a hand MI training not supported by BCI. Both interventions are delivered (3 weekly session; 6 weeks) as add-on regimen to standard intensive rehabilitation. A multidimensional assessment will be performed at: randomization/pre-intervention, 48 h post-intervention, and at 1, 3 and 6 month/s after end of intervention. Primary outcome measure is the Fugl-Meyer Assessment (FMA, upper extremity) at 48 h post-intervention. Secondary outcome measures include: the upper extremity FMA at follow-up, the Modified Ashworth Scale, the Numeric Rating Scale for pain, the Action Research Arm Test, the National Institute of Health Stroke Scale, the Manual Muscle Test, all collected at the different timepoints as well as neurophysiological and neuroimaging measures. DISCUSSION We expect the BCI-based rewarding of hand MI practice to promote long-lasting retention of the early induced improvement in hand motor outcome and also, this clinical improvement to be sustained by a long-lasting neuroplasticity changes harnessed by the BCI-based intervention. Furthermore, the longitudinal multidimensional assessment will address the selection of those stroke participants who best benefit of a BCI-assisted therapy, consistently advancing the transfer of BCIs to a best clinical practice. TRIAL REGISTRATION Name of registry: BCI-assisted MI Intervention in Subacute Stroke (Promotoer). TRIAL REGISTRATION NUMBER NCT04353297 ; registration date on the ClinicalTrial.gov platform: April, 15/2020.
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Coscia M, Wessel MJ, Chaudary U, Millán JDR, Micera S, Guggisberg A, Vuadens P, Donoghue J, Birbaumer N, Hummel FC. Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke. Brain 2020; 142:2182-2197. [PMID: 31257411 PMCID: PMC6658861 DOI: 10.1093/brain/awz181] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 03/14/2019] [Accepted: 05/12/2019] [Indexed: 01/27/2023] Open
Abstract
Upper limb motor deficits in severe stroke survivors often remain unresolved over extended time periods. Novel neurotechnologies have the potential to significantly support upper limb motor restoration in severely impaired stroke individuals. Here, we review recent controlled clinical studies and reviews focusing on the mechanisms of action and effectiveness of single and combined technology-aided interventions for upper limb motor rehabilitation after stroke, including robotics, muscular electrical stimulation, brain stimulation and brain computer/machine interfaces. We aim at identifying possible guidance for the optimal use of these new technologies to enhance upper limb motor recovery especially in severe chronic stroke patients. We found that the current literature does not provide enough evidence to support strict guidelines, because of the variability of the procedures for each intervention and of the heterogeneity of the stroke population. The present results confirm that neurotechnology-aided upper limb rehabilitation is promising for severe chronic stroke patients, but the combination of interventions often lacks understanding of single intervention mechanisms of action, which may not reflect the summation of single intervention’s effectiveness. Stroke rehabilitation is a long and complex process, and one single intervention administrated in a short time interval cannot have a large impact for motor recovery, especially in severely impaired patients. To design personalized interventions combining or proposing different interventions in sequence, it is necessary to have an excellent understanding of the mechanisms determining the effectiveness of a single treatment in this heterogeneous population of stroke patients. We encourage the identification of objective biomarkers for stroke recovery for patients’ stratification and to tailor treatments. Furthermore, the advantage of longitudinal personalized trial designs compared to classical double-blind placebo-controlled clinical trials as the basis for precise personalized stroke rehabilitation medicine is discussed. Finally, we also promote the necessary conceptual change from ‘one-suits-all’ treatments within in-patient clinical rehabilitation set-ups towards personalized home-based treatment strategies, by adopting novel technologies merging rehabilitation and motor assistance, including implantable ones.
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Affiliation(s)
- Martina Coscia
- Wyss Center for Bio and Neuroengineering, Chemin des Mines 9, 1202 Geneva, Switzerland
| | - Maximilian J Wessel
- Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1202 Geneva, Switzerland.,Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), School of Life Sciences, Swiss Federal Institute of Technology (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland
| | - Ujwal Chaudary
- Wyss Center for Bio and Neuroengineering, Chemin des Mines 9, 1202 Geneva, Switzerland
| | - José Del R Millán
- Defitech Chair in Brain-Machine Interface, Center for Neuroprosthetics, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland
| | - Silvestro Micera
- Bertarelli Foundation Chair in Translational Neuroengineering, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland.,Translational Neural Engineering Area, The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, 56025, Italy
| | - Adrian Guggisberg
- Clinical Neuroscience, University of Geneva Medical School, 1202 Geneva, Switzerland
| | | | - John Donoghue
- Wyss Center for Bio and Neuroengineering, Chemin des Mines 9, 1202 Geneva, Switzerland.,Department of Neuroscience, Brown University, Providence, RI 02906, USA
| | - Niels Birbaumer
- Wyss Center for Bio and Neuroengineering, Chemin des Mines 9, 1202 Geneva, Switzerland.,Institute of Medical Psychology and Behavioral Neurobiology, University Tuebingen, Germany
| | - Friedhelm C Hummel
- Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1202 Geneva, Switzerland.,Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), School of Life Sciences, Swiss Federal Institute of Technology (EPFL Valais), Clinique Romande de Réadaptation, 1951 Sion, Switzerland.,Clinical Neuroscience, University of Geneva Medical School, 1202 Geneva, Switzerland
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Kopachka MM, Sharova EV, Aleksandrova EV, Troshina EM, Zaytsev OS, Kravchuk AD, Potapov AA. [In search of an effective algorithm for rhythmic transcranial magnetic stimulation in neurorehabilitation after severe traumatic brain injury]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2020; 83:111-119. [PMID: 32031174 DOI: 10.17116/neiro201983061111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Rehabilitation of patients with severe traumatic brain injury (sTBI) is a topical medical and social issue because this pathology is one of the main causes of mortality and disability in the young working age population [1]. The most common sTBI consequences include motor and cognitive impairment as well as depression of consciousness [2, 3]. Despite significant progress in treatment of the consequences of severe traumatic brain injury, there are no treatment and rehabilitation standards for these patients, and the used rehabilitation measures are not always effective. These circumstances substantiate the need for the development of additional methods of neurotherapy. Over the past decade, transcranial electrical and magnetic stimulation (TMS) has been increasingly used as neuromodulatory treatment in clinical practice [4-12]. The accumulated experience has shown that transcranial neurostimulation methods require a more individualized approach in terms of both careful selection of patients and choice of exposure parameters. This review is based on an analysis of the most significant publications and recommendations recognized in the scientific community, as well as on reports of domestic and foreign authors presented at dedicated congresses in comparison with experience of our own research on transcranial stimulation. The paper discusses the main problems of using this method in medical practice of sTMI and their possible solutions.
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Affiliation(s)
| | - E V Sharova
- Institute of Higher Nervous Activity and Neurophysiology of ras, Moscow, Russia
| | | | | | - O S Zaytsev
- Burdenko Neurosurgical Center, Moscow, Russia
| | | | - A A Potapov
- Burdenko Neurosurgical Center, Moscow, Russia
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Lin J, Hu G, Ran J, Chen L, Zhang X, Zhang Y. Effects of bodyweight support and guidance force on muscle activation during Locomat walking in people with stroke: a cross-sectional study. J Neuroeng Rehabil 2020; 17:5. [PMID: 31931825 PMCID: PMC6958616 DOI: 10.1186/s12984-020-0641-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 01/07/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Locomat is a robotic exoskeleton providing guidance force and bodyweight support to facilitate intensive walking training for people with stroke. Although the Locomat has been reported to be effective in improving walking performance, the effects of training parameters on the neuromuscular control remain unclear. This study aimed to compare the muscle activities between Locomat walking and treadmill walking at a normal speed, as well as to investigate the effects of varying bodyweight support and guidance force on muscle activation patterns during Locomat walking in people with stroke. METHODS A cross-sectional study design was employed. Participants first performed an unrestrained walking on a treadmill and then walked in the Locomat with different levels of bodyweight support (30% or 50%) and guidance force (40% or 70%) at the same speed (1.2 m/s). Surface electromyography (sEMG) of seven muscles of the affected leg was recorded. The sEMG envelope was time-normalised and averaged over gait cycles. Mean sEMG amplitude was then calculated by normalising the sEMG amplitude with respect to the peak amplitude during treadmill walking for statistical analysis. A series of Non-parametric test and post hoc analysis were performed with a significance level of 0.05. RESULTS Fourteen participants with stroke were recruited at the Yangzhi Affiliated Rehabilitation Hospital of Tongji University (female n = 1; mean age 46.1 ± 11.1 years). Only the mean sEMG amplitude of vastus medialis oblique during Locomat walking (50% bodyweight support and 70% guidance force) was significantly lower than that during treadmill walking. Reducing both bodyweight and guidance increased muscle activity of gluteus medius and tibialis anterior. Activity of vastus medialis oblique muscle increased as bodyweight support reduced, while that of rectus femoris increased as guidance force decreased. CONCLUSIONS The effects of Locomat on reducing muscle activity in people with stroke were minimized when walking at a normal speed. Reducing bodyweight support and guidance force increased the activity of specific muscles during Locomat walking. Effects of bodyweight support, guidance force and speed should be taken into account when developing individualized Locomat training protocols for clients with stroke.
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Affiliation(s)
- Jianhua Lin
- Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China.
- Faculty of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia.
| | - Guojiong Hu
- Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China
| | - Jun Ran
- Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China
| | - Linyu Chen
- Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China
| | - Xian Zhang
- Department of Rehabilitation Therapy, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, No. 2209, Guangxing Road, Songjiang District, Shanghai, 201619, People's Republic of China
| | - Yanxin Zhang
- Department of Exercise Sciences, University of Auckland, Auckland, New Zealand
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Lefaucheur JP, Aleman A, Baeken C, Benninger DH, Brunelin J, Di Lazzaro V, Filipović SR, Grefkes C, Hasan A, Hummel FC, Jääskeläinen SK, Langguth B, Leocani L, Londero A, Nardone R, Nguyen JP, Nyffeler T, Oliveira-Maia AJ, Oliviero A, Padberg F, Palm U, Paulus W, Poulet E, Quartarone A, Rachid F, Rektorová I, Rossi S, Sahlsten H, Schecklmann M, Szekely D, Ziemann U. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018). Clin Neurophysiol 2020; 131:474-528. [PMID: 31901449 DOI: 10.1016/j.clinph.2019.11.002] [Citation(s) in RCA: 946] [Impact Index Per Article: 236.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 10/21/2019] [Accepted: 11/02/2019] [Indexed: 02/08/2023]
Abstract
A group of European experts reappraised the guidelines on the therapeutic efficacy of repetitive transcranial magnetic stimulation (rTMS) previously published in 2014 [Lefaucheur et al., Clin Neurophysiol 2014;125:2150-206]. These updated recommendations take into account all rTMS publications, including data prior to 2014, as well as currently reviewed literature until the end of 2018. Level A evidence (definite efficacy) was reached for: high-frequency (HF) rTMS of the primary motor cortex (M1) contralateral to the painful side for neuropathic pain; HF-rTMS of the left dorsolateral prefrontal cortex (DLPFC) using a figure-of-8 or a H1-coil for depression; low-frequency (LF) rTMS of contralesional M1 for hand motor recovery in the post-acute stage of stroke. Level B evidence (probable efficacy) was reached for: HF-rTMS of the left M1 or DLPFC for improving quality of life or pain, respectively, in fibromyalgia; HF-rTMS of bilateral M1 regions or the left DLPFC for improving motor impairment or depression, respectively, in Parkinson's disease; HF-rTMS of ipsilesional M1 for promoting motor recovery at the post-acute stage of stroke; intermittent theta burst stimulation targeted to the leg motor cortex for lower limb spasticity in multiple sclerosis; HF-rTMS of the right DLPFC in posttraumatic stress disorder; LF-rTMS of the right inferior frontal gyrus in chronic post-stroke non-fluent aphasia; LF-rTMS of the right DLPFC in depression; and bihemispheric stimulation of the DLPFC combining right-sided LF-rTMS (or continuous theta burst stimulation) and left-sided HF-rTMS (or intermittent theta burst stimulation) in depression. Level A/B evidence is not reached concerning efficacy of rTMS in any other condition. The current recommendations are based on the differences reached in therapeutic efficacy of real vs. sham rTMS protocols, replicated in a sufficient number of independent studies. This does not mean that the benefit produced by rTMS inevitably reaches a level of clinical relevance.
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Affiliation(s)
- Jean-Pascal Lefaucheur
- ENT Team, EA4391, Faculty of Medicine, Paris Est Créteil University, Créteil, France; Clinical Neurophysiology Unit, Department of Physiology, Henri Mondor Hospital, Assistance Publique - Hôpitaux de Paris, Créteil, France.
| | - André Aleman
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Chris Baeken
- Department of Psychiatry and Medical Psychology, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium; Department of Psychiatry, University Hospital (UZBrussel), Brussels, Belgium; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - David H Benninger
- Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Jérôme Brunelin
- PsyR2 Team, U1028, INSERM and UMR5292, CNRS, Center for Neuroscience Research of Lyon (CRNL), Centre Hospitalier Le Vinatier, Lyon-1 University, Bron, France
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico di Roma, Rome, Italy
| | - Saša R Filipović
- Department of Human Neuroscience, Institute for Medical Research, University of Belgrade, Belgrade, Serbia
| | - Christian Grefkes
- Department of Neurology, Cologne University Hospital, Cologne, Germany; Institute of Neurosciences and Medicine (INM3), Jülich Research Centre, Jülich, Germany
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Friedhelm C Hummel
- Defitech Chair in Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland; Defitech Chair in Clinical Neuroengineering, Swiss Federal Institute of Technology (EPFL) Valais and Clinique Romande de Réadaptation, Sion, Switzerland; Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland
| | - Satu K Jääskeläinen
- Department of Clinical Neurophysiology, Turku University Hospital and University of Turku, Turku, Finland
| | - Berthold Langguth
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Letizia Leocani
- Department of Neurorehabilitation and Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), IRCCS San Raffaele, University Vita-Salute San Raffaele, Milan, Italy
| | - Alain Londero
- Department of Otorhinolaryngology - Head and Neck Surgery, Université Paris Descartes Sorbonne Paris Cité, Hôpital Européen Georges Pompidou, Paris, France
| | - Raffaele Nardone
- Department of Neurology, Franz Tappeiner Hospital, Merano, Italy; Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria; Karl Landsteiner Institut für Neurorehabilitation und Raumfahrtneurologie, Salzburg, Austria
| | - Jean-Paul Nguyen
- Multidisciplinary Pain Center, Clinique Bretéché, ELSAN, Nantes, France; Multidisciplinary Pain, Palliative and Supportive Care Center, UIC22-CAT2-EA3826, University Hospital, CHU Nord-Laënnec, Nantes, France
| | - Thomas Nyffeler
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland; Perception and Eye Movement Laboratory, Department of Neurology, University of Bern, Bern, Switzerland; Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland
| | - Albino J Oliveira-Maia
- Champalimaud Research & Clinical Centre, Champalimaud Centre for the Unknown, Lisbon, Portugal; Department of Psychiatry and Mental Health, Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal; NOVA Medical School
- Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Antonio Oliviero
- FENNSI Group, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ulrich Palm
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Medical Park Chiemseeblick, Bernau, Germany
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Emmanuel Poulet
- PsyR2 Team, U1028, INSERM and UMR5292, CNRS, Center for Neuroscience Research of Lyon (CRNL), Centre Hospitalier Le Vinatier, Lyon-1 University, Bron, France; Department of Emergency Psychiatry, Edouard Herriot Hospital, Groupement Hospitalier Centre, Hospices Civils de Lyon, Lyon, France
| | - Angelo Quartarone
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | - Irena Rektorová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic; First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience, Si-BIN Lab Human Physiology Section, Neurology and Clinical Neurophysiology Unit, University of Siena, Siena, Italy
| | - Hanna Sahlsten
- ENT Clinic, Mehiläinen and University of Turku, Turku, Finland
| | - Martin Schecklmann
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - David Szekely
- Department of Psychiatry, Princess Grace Hospital, Monaco
| | - Ulf Ziemann
- Department of Neurology and Stroke, and Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany
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Bönstrup M, Krawinkel L, Schulz R, Cheng B, Feldheim J, Thomalla G, Cohen LG, Gerloff C. Low-Frequency Brain Oscillations Track Motor Recovery in Human Stroke. Ann Neurol 2019; 86:853-865. [PMID: 31604371 DOI: 10.1002/ana.25615] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 10/01/2019] [Accepted: 10/01/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The majority of patients with stroke survive the acute episode and live with enduring disability. Effective therapies to support recovery of motor function after stroke are yet to be developed. Key to this development is the identification of neurophysiologic signals that mark recovery and are suitable and susceptible to interventional therapies. Movement preparatory low-frequency oscillations (LFOs) play a key role in cortical control of movement. Recent animal data point to a mechanistic role of motor cortical LFOs in stroke motor deficits and demonstrate neuromodulation intervention with therapeutic benefit. Their relevance in human stroke pathophysiology is unknown. METHODS We studied the relationship between movement-preparatory LFOs during the performance of a visuomotor grip task and motor function in a longitudinal (<5 days, 1 and 3 months) cohort study of 33 patients with motor stroke and in 19 healthy volunteers. RESULTS Acute stroke-lesioned brains fail to generate the LFO signal. Whereas in healthy humans, a transient occurrence of LFOs preceded movement onset at predominantly contralateral frontoparietal motor regions, recordings in patients revealed that movement-preparatory LFOs were substantially diminished to a level of 38% after acute stroke. LFOs progressively increased at 1 and 3 months. This re-emergence closely tracked the recovery of motor function across several movement qualities including grip strength, fine motor skills, and synergies and was frequency band specific. INTERPRETATION Our results provide the first human evidence for a link between movement-preparatory LFOs and functional recovery after stroke, promoting their relevance for movement control. These results suggest that it may be interesting to explore targeted, LFOs-restorative brain stimulation therapy in human stroke patients. ANN NEUROL 2019;86:853-865.
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Affiliation(s)
- Marlene Bönstrup
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD.,Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lutz Krawinkel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robert Schulz
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Feldheim
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Leonardo G Cohen
- Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Quandt F, Bönstrup M, Schulz R, Timmermann JE, Mund M, Wessel MJ, Hummel FC. The functional role of beta-oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract. Hum Brain Mapp 2019; 40:3091-3101. [PMID: 30927325 PMCID: PMC6865486 DOI: 10.1002/hbm.24582] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/18/2019] [Accepted: 03/15/2019] [Indexed: 12/18/2022] Open
Abstract
Hand motor function is often severely affected in stroke patients. Non-satisfying recovery limits reintegration into normal daily life. Understanding stroke-related network changes and identifying common principles that might underlie recovered motor function is a prerequisite for the development of interventional therapies to support recovery. Here, we combine the evaluation of functional activity (multichannel electroencephalography) and structural integrity (diffusion tensor imaging) in order to explain the degree of residual motor function in chronic stroke patients. By recording neural activity during a reaching and grasping task that mimics activities of daily living, the study focuses on deficit-related neural activation patterns. The study showed that the functional role of movement-related beta desynchronization in the supplementary motor area (SMA) for residual hand motor function in stroke patients depends on the microstructural integrity of the corticospinal tract (CST). In particular, in patients with damaged CST, stronger task-related activity in the SMA was associated with worse residual motor function. Neither CST damage nor functional brain activity alone sufficiently explained residual hand motor function. The findings suggest a central role of the SMA in the motor network during reaching and grasping in stroke patients, the degree of functional relevance of the SMA is depending on CST integrity.
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Affiliation(s)
- Fanny Quandt
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Marlene Bönstrup
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
- Human Cortical Physiology and Neurorehabilitation SectionNational Institute of Neurological Disorders and Stroke, National Institutes of HealthBethesdaMaryland
| | - Robert Schulz
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Jan E. Timmermann
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Maike Mund
- Department of NeurologyUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Maximilian J. Wessel
- Defitech Chair of Clinical NeuroengineeringBrain Mind Institute and Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL)GenevaSwitzerland
- Defitech Chair of Clinical NeuroengineeringBrain Mind Institute and Center for Neuroprosthetics, Swiss Federal Institute of Technology Valais (EPFL Valais), Clinique Romande de RéadaptationSionSwitzerland
| | - Friedhelm C. Hummel
- Defitech Chair of Clinical NeuroengineeringBrain Mind Institute and Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL)GenevaSwitzerland
- Defitech Chair of Clinical NeuroengineeringBrain Mind Institute and Center for Neuroprosthetics, Swiss Federal Institute of Technology Valais (EPFL Valais), Clinique Romande de RéadaptationSionSwitzerland
- Clinical NeuroscienceMedical School University of GenevaGenevaSwitzerland
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Li S, Chen YT, Francisco GE, Zhou P, Rymer WZ. A Unifying Pathophysiological Account for Post-stroke Spasticity and Disordered Motor Control. Front Neurol 2019; 10:468. [PMID: 31133971 PMCID: PMC6524557 DOI: 10.3389/fneur.2019.00468] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 04/17/2019] [Indexed: 11/18/2022] Open
Abstract
Cortical and subcortical plastic reorganization occurs in the course of motor recovery after stroke. It is largely accepted that plasticity of ipsilesional motor cortex primarily contributes to recovery of motor function, while the contributions of contralesional motor cortex are not completely understood. As a result of damages to motor cortex and its descending pathways and subsequent unmasking of inhibition, there is evidence of upregulation of reticulospinal tract (RST) excitability in the contralesional side. Both animal studies and human studies with stroke survivors suggest and support the role of RST hyperexcitability in post-stroke spasticity. Findings from animal studies demonstrate the compensatory role of RST hyperexcitability in recovery of motor function. In contrast, RST hyperexcitability appears to be related more to abnormal motor synergy and disordered motor control in stroke survivors. It does not contribute to recovery of normal motor function. Recent animal studies highlight laterality dominance of corticoreticular projections. In particular, there exists upregulation of ipsilateral corticoreticular projections from contralesional premotor cortex (PM) and supplementary motor area (SMA) to medial reticular nuclei. We revisit and revise the previous theoretical framework and propose a unifying account. This account highlights the importance of ipsilateral PM/SMA-cortico-reticulospinal tract hyperexcitability from the contralesional motor cortex as a result of disinhibition after stroke. This account provides a pathophysiological basis for post-stroke spasticity and related movement impairments, such as abnormal motor synergy and disordered motor control. However, further research is needed to examine this pathway in stroke survivors to better understand its potential roles, especially in muscle strength and motor recovery. This account could provide a pathophysiological target for developing neuromodulatory interventions to manage spasticity and thus possibly to facilitate motor recovery.
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Affiliation(s)
- Sheng Li
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center – Houston and TIRR Memorial Hermann Hospital, Houston, TX, United States
| | - Yen-Ting Chen
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center – Houston and TIRR Memorial Hermann Hospital, Houston, TX, United States
| | - Gerard E. Francisco
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center – Houston and TIRR Memorial Hermann Hospital, Houston, TX, United States
| | - Ping Zhou
- Department of Physical Medicine and Rehabilitation, McGovern Medical School, University of Texas Health Science Center – Houston and TIRR Memorial Hermann Hospital, Houston, TX, United States
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Ovadia-Caro S, Khalil AA, Sehm B, Villringer A, Nikulin VV, Nazarova M. Predicting the Response to Non-invasive Brain Stimulation in Stroke. Front Neurol 2019; 10:302. [PMID: 31001190 PMCID: PMC6454031 DOI: 10.3389/fneur.2019.00302] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 03/11/2019] [Indexed: 01/10/2023] Open
Affiliation(s)
- Smadar Ovadia-Caro
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ahmed A. Khalil
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Bernhard Sehm
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Cognitive Neurology, University Hospital Leipzig and Faculty of Medicine, University of Leipzig, Leipzig, Germany
| | - Vadim V. Nikulin
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Neurophysics Group, Department of Neurology, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Center for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia
| | - Maria Nazarova
- Center for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia
- Federal Center for Cerebrovascular Pathology and Stroke, The Ministry of Healthcare of the Russian Federation, Federal State Budget Institution, Moscow, Russia
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Gad* A. Functional Electrical Stimulation (FES): Clinical successes and failures to date. ACTA ACUST UNITED AC 2018. [DOI: 10.29328/journal.jnpr.1001022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Aşkın A, Atar E, Koçyiğit H, Tosun A. Effects of Kinect-based virtual reality game training on upper extremity motor recovery in chronic stroke. Somatosens Mot Res 2018. [PMID: 29529919 DOI: 10.1080/08990220.2018.1444599] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Therapeutic benefits of Kinect-based virtual reality (VR) game training in rehabilitation encourage its use to improve motor function. OBJECTIVE To assess the effects of Kinect-based VR training on motor recovery of the upper extremity and functional outcomes in patients with chronic stroke. METHODS In this randomized controlled trial, group A received 20 sessions of physical therapy (PT) + 20 sessions of Kinect-based VR training and group B received only 20 sessions of PT. Clinical outcome measures were assessed at baseline and at the end of the treatments. Primary outcome measures that assess stroke patients' motor function included upper extremity (UE) Fugl-Meyer Assessment (FMA). Secondary outcome measures were Brunnstrom Recovery Stages (BRS), Modified Ashworth Scale (MAS), Box and Block test (BBT), Motricity index (MI), and active range of motion (AROM) measurement. RESULTS Statistically significant improvements in game scores (p < 0.05) were observed in group A. In within-group analysis, there were statistically significant improvements in all clinical outcome measures except for the BRS-hand, MAS-distal, and MAS-hand in group A; MAS-(proximal, distal, hand) and BRS-(UE, hand) in group B compared with baseline values. Differences from baseline of FMA, MI, and AROM (except adduction of shoulder and extension of elbow) were greater in group A (p < 0.05). CONCLUSIONS To conclude, our results suggest that the adjunct use of Kinect-based VR training may contribute to the improvement of UE motor function and AROM in chronic stroke patients. Further studies with a larger number of subjects with longer follow-up periods are needed to establish its effectiveness in neurorehabilitation.
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Affiliation(s)
- Ayhan Aşkın
- a Physical Medicine and Rehabilitation , Izmir Katip Celebi University , Izmir , Turkey
| | - Emel Atar
- b Physical Medicine and Rehabilitation , Sultan Abdulhamid Han Training and Research Hospital , Uskudar , Turkey
| | - Hikmet Koçyiğit
- c Physical Medicine and Rehabilitation , Izmir Katip Celebi University Atatürk Training and Research Hospital , Izmir , Turkey
| | - Aliye Tosun
- a Physical Medicine and Rehabilitation , Izmir Katip Celebi University , Izmir , Turkey
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