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Louey MGY, Harvey A, Passmore E, Grayden D, Sangeux M. Kinematic upper limb analysis outperforms electromyography at grading the severity of dystonia in children with cerebral palsy. Clin Biomech (Bristol, Avon) 2024; 117:106295. [PMID: 38954886 DOI: 10.1016/j.clinbiomech.2024.106295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/08/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Severity of dyskinesia in children with cerebral palsy is often assessed using observation-based clinical tools. Instrumented methods to objectively measure dyskinesia have been proposed to improve assessment accuracy and reliability. Here, we investigated the technique and movement features that were most suitable to objectively measure the severity of dystonia in children with cerebral palsy. METHODS A prospective observational study was conducted with 12 participants with cerebral palsy with a predominant motor type of dyskinesia, spasticity, or mixed dyskinesia/spasticity who had upper limb involvement (mean age: 12.6 years, range: 6.7-18.2 years). Kinematic and electromyography data were collected bilaterally during three upper limb tasks. Spearman rank correlations of kinematic or electromyography features were calculated against dystonia severity, quantified by the Dyskinesia Impairment Scale. FINDINGS Kinematic features were more influential compared to electromyography features at grading the severity of dystonia in children with cerebral palsy. Kinematic measures quantifying jerkiness of volitional movement during an upper limb task with a reaching component performed best (|rs| = 0.78-0.9, p < 0.001). INTERPRETATION This study provides guidance on the types of data, features of movement, and activity protocols that instrumented methods should focus on when objectively measuring the severity of dystonia in children with cerebral palsy.
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Affiliation(s)
- Melissa Gar Yee Louey
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia; Hugh Williamson Gait Analysis Laboratory, Royal Children's Hospital, Parkville, Victoria, Australia; Faculty of Engineering and Information Technology, University of Melbourne, Parkville, Victoria, Australia
| | - Adrienne Harvey
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia.
| | - Elyse Passmore
- Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Parkville, Victoria, Australia; Hugh Williamson Gait Analysis Laboratory, Royal Children's Hospital, Parkville, Victoria, Australia; Faculty of Engineering and Information Technology, University of Melbourne, Parkville, Victoria, Australia.
| | - David Grayden
- Faculty of Engineering and Information Technology, University of Melbourne, Parkville, Victoria, Australia.
| | - Morgan Sangeux
- Centre for Clinical Motion Analysis, University Children's Hospital, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Switzerland.
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Athanasakis P, Nikodelis T, Panoutsakopoulos V, Mylonas V, Loizidis T, Koutlianos NA, Kollias IA. Acute effect of dry needling on trunk kinematics and balance of patients with non-specific low back pain. J Bodyw Mov Ther 2024; 39:24-31. [PMID: 38876633 DOI: 10.1016/j.jbmt.2024.02.010] [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: 09/12/2022] [Revised: 01/18/2024] [Accepted: 02/25/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND Limited knowledge exists about the effectiveness of dry needling (DN) concerning the torso kinematics in patients with non-specific low back pain (NS-LBP). Acute effects of DN in NS-LBP patients from a functional perspective were investigated. METHODS Sixteen NS-LBP patients and 11 healthy individuals (HG) were examined. NS-LBP patients received a single session of DN at the lumbar region. Baseline and immediate post-treatment measurements during flexion-extension and lateral bending of the trunk were conducted for the NS-LBP patients. HG were measured only at baseline to be used as a reference of NS-LBP patients' initial condition. Algometry was applied in NS-LBP patients. Centre of pressure, range of motion of the trunk and its' derivatives were obtained. FINDINGS HG performed significantly faster, smoother and with greater mobility in the performed tasks compared to the pre intervention measurements of the NS-LBP patients. For the NS-LBP patients, significant greater angular velocity in frontal plane and significant lower jerk in the sagittal plane were demonstrated post intervention. DN alleviated pain tolerance significantly at the L5 level. Regarding the effectiveness of the DN upon spine kinematics, their derivatives were more sensitive. INTERPRETATION It appeared that the pathological type of torso movement was acutely affected by DN. NS-LBP patients showcased smoother movement immediately after the intervention and better control as imprinted in the higher derivative of motion although range of motion did not improve. This quantitative variable may not be subjected to acute effects of DN but rather need additional time and training to be improved.
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Affiliation(s)
- Petros Athanasakis
- Biomechanics Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Thomas Nikodelis
- Biomechanics Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Vassilios Panoutsakopoulos
- Biomechanics Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Vasileios Mylonas
- Biomechanics Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Theodoros Loizidis
- Department of Physical and Rehabilitation Medicine, Saint Loukes Hospital, 55236, Panorama, Thessaloniki, Greece.
| | - Nikolaos A Koutlianos
- Sports Medicine Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Iraklis A Kollias
- Biomechanics Laboratory, School of Physical Education and Sport Science at Thessaloniki, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
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Cornec G, Lempereur M, Mensah-Gourmel J, Robertson J, Miramand L, Medee B, Bellaiche S, Gross R, Gracies JM, Remy-Neris O, Bayle N. Measurement properties of movement smoothness metrics for upper limb reaching movements in people with moderate to severe subacute stroke. J Neuroeng Rehabil 2024; 21:90. [PMID: 38812037 PMCID: PMC11134951 DOI: 10.1186/s12984-024-01382-1] [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: 01/24/2024] [Accepted: 05/11/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND Movement smoothness is a potential kinematic biomarker of upper extremity (UE) movement quality and recovery after stroke; however, the measurement properties of available smoothness metrics have been poorly assessed in this group. We aimed to measure the reliability, responsiveness and construct validity of several smoothness metrics. METHODS This ancillary study of the REM-AVC trial included 31 participants with hemiparesis in the subacute phase of stroke (median time since stroke: 38 days). Assessments performed at inclusion (Day 0, D0) and at the end of a rehabilitation program (Day 30, D30) included the UE Fugl Meyer Assessment (UE-FMA), the Action Research Arm Test (ARAT), and 3D motion analysis of the UE during three reach-to-point movements at a self-selected speed to a target located in front at shoulder height and at 90% of arm length. Four smoothness metrics were computed: a frequency domain smoothness metric, spectral arc length metric (SPARC); and three temporal domain smoothness metrics (TDSM): log dimensionless jerk (LDLJ); number of submovements (nSUB); and normalized average rectified jerk (NARJ). RESULTS At D30, large clinical and kinematic improvements were observed. Only SPARC and LDLJ had an excellent reliability (intra-class correlation > 0.9) and a low measurement error (coefficient of variation < 10%). SPARC was responsive to changes in movement straightness (rSpearman=0.64) and to a lesser extent to changes in movement duration (rSpearman=0.51) while TDSM were very responsive to changes in movement duration (rSpearman>0.8) and not to changes in movement straightness (non-significant correlations). Most construct validity hypotheses tested were verified except for TDSM with low correlations with clinical metrics at D0 (rSpearman<0.5), ensuing low predictive validity with clinical metrics at D30 (non-significant correlations). CONCLUSIONS Responsiveness and construct validity of TDSM were hindered by movement duration and/or noise-sensitivity. Based on the present results and concordant literature, we recommend using SPARC rather than TDSM in reaching movements of uncontrolled duration in individuals with spastic paresis after stroke. TRIAL REGISTRATION NCT01383512, https://clinicaltrials.gov/ , June 27, 2011.
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Affiliation(s)
- Gwenaël Cornec
- Department of Physical and Rehabilitation Medicine, CHU Brest, Brest, F-29200, France.
- UMR 1101 LaTIM, Univ Brest, INSERM, Brest, F-29200, France.
| | - Mathieu Lempereur
- Department of Physical and Rehabilitation Medicine, CHU Brest, Brest, F-29200, France
- UMR 1101 LaTIM, Univ Brest, INSERM, Brest, F-29200, France
| | - Johanne Mensah-Gourmel
- Department of Physical and Rehabilitation Medicine, CHU Brest, Brest, F-29200, France
- UMR 1101 LaTIM, Univ Brest, INSERM, Brest, F-29200, France
- Pediatric Physical and Rehabilitation Medicine Department, Fondation Ildys, Rue Alain Colas, Brest, F-29200, France
| | - Johanna Robertson
- Physical Medicine and Rehabilitation Department, AP-HP, Raymond Poincaré Hospital, Université Paris-Saclay, Team INSERM 1179, UFR de Santé Simone Veil, Versailles Saint-Quentin university, Garches, France
| | - Ludovic Miramand
- UMR 1101 LaTIM, Univ Brest, INSERM, Brest, F-29200, France
- Pediatric Physical and Rehabilitation Medicine Department, Fondation Ildys, Rue Alain Colas, Brest, F-29200, France
| | - Beatrice Medee
- Department of Physical and Rehabilitation Medicine, CHU Brest, Brest, F-29200, France
| | - Soline Bellaiche
- Department of Neurological Physical Medicine and Rehabilitation, Henry-Gabrielle hospital, Hospices Civils de Lyon, Saint-Genis-Laval, France
| | - Raphael Gross
- Nantes Université, CHU Nantes, Movement - Interactions - Performance, MIP, UR 4334, Nantes, F-44000, France
| | - Jean-Michel Gracies
- Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, AP-HP, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France
- Laboratoire Analyse et Restauration du Mouvement, UR 7377 BIOTN, Université Paris Est Créteil (UPEC), Créteil, France
| | - Olivier Remy-Neris
- Department of Physical and Rehabilitation Medicine, CHU Brest, Brest, F-29200, France
- UMR 1101 LaTIM, Univ Brest, INSERM, Brest, F-29200, France
| | - Nicolas Bayle
- Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, AP-HP, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France
- Laboratoire Analyse et Restauration du Mouvement, UR 7377 BIOTN, Université Paris Est Créteil (UPEC), Créteil, France
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Hermle D, Schubert R, Barallon P, Ilg W, Schüle R, Reilmann R, Synofzik M, Traschütz A. Multifeature quantitative motor assessment of upper limb ataxia including drawing and reaching. Ann Clin Transl Neurol 2024; 11:1097-1109. [PMID: 38590028 DOI: 10.1002/acn3.52024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/18/2024] [Accepted: 02/03/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE Voluntary upper limb movements are an ecologically important yet insufficiently explored digital-motor outcome domain for trials in degenerative ataxia. We extended and validated the trial-ready quantitative motor assessment battery "Q-Motor" for upper limb movements with clinician-reported, patient-focused, and performance outcomes of ataxia. METHODS Exploratory single-center cross-sectional assessment in 94 subjects (46 cross-genotype ataxia patients; 48 matched controls), comprising five tasks measured by force transducer and/or position field: Finger Tapping, diadochokinesia, grip-lift, and-as novel implementations-Spiral Drawing, and Target Reaching. Digital-motor measures were selected if they discriminated from controls (AUC >0.7) and correlated-with at least one strong correlation (rho ≥0.6)-to the Scale for the Assessment and Rating of Ataxia (SARA), activities of daily living (FARS-ADL), and the Nine-Hole Peg Test (9HPT). RESULTS Six movement features with 69 measures met selection criteria, including speed and variability in all tasks, stability in grip-lift, and efficiency in Target Reaching. The novel drawing/reaching tasks best captured impairment in dexterity (|rho9HPT| ≤0.81) and FARS-ADL upper limb items (|rhoADLul| ≤0.64), particularly by kinematic analysis of smoothness (SPARC). Target hit rate, a composite of speed and endpoint precision, almost perfectly discriminated ataxia and controls (AUC: 0.97). Selected measures in all tasks discriminated between mild, moderate, and severe impairment (SARA upper limb composite: 0-2/>2-4/>4-6) and correlated with severity in the trial-relevant mild ataxia stage (SARA ≤10, n = 20). INTERPRETATION Q-Motor assessment captures multiple features of impaired upper limb movements in degenerative ataxia. Validation with key clinical outcome domains provides the basis for evaluation in longitudinal studies and clinical trial settings.
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Affiliation(s)
- Dominik Hermle
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
| | | | | | - Winfried Ilg
- Section Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany
- Centre for Integrative Neuroscience (CIN), Tübingen, Germany
| | - Rebecca Schüle
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Division of Neurodegenerative Disease, Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
- Department of Neurodegenerative Diseases, Center of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Ralf Reilmann
- George-Huntington-Institute, Münster, Germany
- Department of Neurodegenerative Diseases, Center of Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Andreas Traschütz
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
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Everard G, Burton Q, Van de Sype V, Bibentyo TN, Auvinet E, Edwards MG, Batcho CS, Lejeune T. Extended reality to assess post-stroke manual dexterity: contrasts between the classic box and block test, immersive virtual reality with controllers, with hand-tracking, and mixed-reality tests. J Neuroeng Rehabil 2024; 21:36. [PMID: 38491540 PMCID: PMC10941416 DOI: 10.1186/s12984-024-01332-x] [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: 11/06/2023] [Accepted: 03/03/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Recent technological advancements present promising opportunities to enhance the frequency and objectivity of functional assessments, aligning with recent stroke rehabilitation guidelines. Within this framework, we designed and adapted different manual dexterity tests in extended reality (XR), using immersive virtual reality (VR) with controllers (BBT-VR-C), immersive VR with hand-tracking (BBT-VR-HT), and mixed-reality (MD-MR). OBJECTIVE This study primarily aimed to assess and compare the validity of the BBT-VR-C, BBT-VR-HT and MD-MR to assess post-stroke manual dexterity. Secondary objectives were to evaluate reliability, usability and to define arm kinematics measures. METHODS A sample of 21 healthy control participants (HCP) and 21 stroke individuals with hemiparesis (IHP) completed three trials of the traditional BBT, the BBT-VR-C, BBT-VR-HT and MD-MR. Content validity of the different tests were evaluated by asking five healthcare professionals to rate the difficulty of performing each test in comparison to the traditional BBT. Convergent validity was evaluated through correlations between the scores of the traditional BBT and the XR tests. Test-retest reliability was assessed through correlations between the second and third trial and usability was assessed using the System Usability Scale (SUS). Lastly, upper limb movement smoothness (SPARC) was compared between IHP and HCP for both BBT-VR test versions. RESULTS For content validity, healthcare professionals rated the BBT-VR-HT (0[0-1]) and BBT-MR (0[0-1]) as equally difficult to the traditional BBT, whereas they rated BBT-VR-C as more difficult than the traditional BBT (1[0-2]). For IHP convergent validity, the Pearson tests demonstrated larger correlations between the scores of BBT and BBT-VR-HT (r = 0.94;p < 0.001), and BBT and MD-MR (r = 0.95;p < 0.001) than BBT and BBT-VR-C (r = 0.65;p = 0.001). BBT-VR-HT and MD-MR usability were both rated as excellent, with median SUS scores of 83[57.5-91.3] and 83[53.8-92.5] respectively. Excellent reliability was found for the BBT-VR-C (ICC = 0.96;p < 0.001), BBT-VR-HT (ICC = 0.96;p < 0.001) and BBT-MR (ICC = 0.99;p < 0.001). The usability of the BBT-VR-C was rated as good with a median SUS of 70[43.8-83.8]. Upper limb movements of HCP were significantly smoother than for IHP when completing either the BBT-VR-C (t = 2.05;p = 0.043) and the BBT-VR-HT (t = 5.21;p < 0.001). CONCLUSION The different XR manual tests are valid, short-term reliable and usable tools to assess post-stroke manual dexterity. TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT04694833 ; Unique identifier: NCT04694833, Date of registration: 11/24/2020.
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Affiliation(s)
- Gauthier Everard
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Québec, Canada
- Department of rehabilitation, Faculty of medicine, Laval University, Quebec, QC, Canada
- Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Quentin Burton
- Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Vincent Van de Sype
- Service de médecine physique et réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, Brussels, 1200, Belgium
| | | | | | - Martin Gareth Edwards
- Psychological Sciences Research Institute (IPSY), Université Catholique de Louvain, Louvain‑la‑Neuve, Belgium
- Louvain Bionics, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Charles Sebiyo Batcho
- Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Québec, Canada
- Department of rehabilitation, Faculty of medicine, Laval University, Quebec, QC, Canada
| | - Thierry Lejeune
- Neuro Musculo Skeletal Lab (NMSK), Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
- Service de médecine physique et réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, Brussels, 1200, Belgium.
- Louvain Bionics, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
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Dunn JA, Wong B, Sinclair SK, Henninger HB, Bachus KN, Foreman KB. Extended physiological proprioception is affected by transhumeral Socket-Suspended prosthesis use. J Biomech 2024; 166:112054. [PMID: 38513398 DOI: 10.1016/j.jbiomech.2024.112054] [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: 05/17/2023] [Revised: 01/30/2024] [Accepted: 03/17/2024] [Indexed: 03/23/2024]
Abstract
The objective of this study was to define targeted reaching performance without visual information for transhumeral (TH) prosthesis users, establishing baseline information about extended physiological proprioception (EPP) in this population. Subjects completed a seated proprioceptive targeting task under simultaneous motion capture, using their prosthesis and intact limb. Eight male subjects, median age of 58 years (range 29-77 years), were selected from an ongoing screening study to participate. Five subjects had a left-side TH amputation, and three a right-side TH amputation. Median time since amputation was 9 years (range 3-54 years). Four subjects used a body-powered prosthetic hook, three a myoelectric hand, and one a myoelectric hook. The outcome measures were precision and accuracy, motion of the targeting hand, and joint angular displacement. Subjects demonstrated better precision when targeting with their intact limb compared to targeting with their prosthesis, 1.9 cm2 (0.8-3.0) v. 7.1 cm2 (1.3-12.8), respectively, p = 0.008. Subjects achieved a more direct reach path ratio when targeting with the intact limb compared to with the prosthesis, 1.2 (1.1-1.3) v. 1.3 (1.3-1.4), respectively, p = 0.039 The acceleration, deceleration, and corrective phase durations were consistent between conditions. Trunk angular displacement increased in flexion, lateral flexion, and axial rotation while shoulder flexion decreased when subjects targeted with their prosthesis compared to the intact limb. The differences in targeting precision, reach patio ratio, and joint angular displacements while completing the targeting task indicate diminished EPP. These findings establish baseline information about EPP in TH prosthesis users for comparison as novel prosthesis suspension systems become more available to be tested.
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Affiliation(s)
- Julia A Dunn
- Department of Biomedical Engineering University of Utah, United States; Department of Orthopaedics University of Utah, United States
| | - Bob Wong
- College of Nursing University of Utah, United States
| | - Sarina K Sinclair
- Department of Orthopaedics University of Utah, United States; Department of Veterans Affairs, Salt Lake City, UT, United States
| | - Heath B Henninger
- Department of Biomedical Engineering University of Utah, United States; Department of Orthopaedics University of Utah, United States
| | - Kent N Bachus
- Department of Biomedical Engineering University of Utah, United States; Department of Orthopaedics University of Utah, United States; Department of Veterans Affairs, Salt Lake City, UT, United States
| | - K Bo Foreman
- Department of Orthopaedics University of Utah, United States; Department of Veterans Affairs, Salt Lake City, UT, United States; Department of Physical Therapy and Athletic Training University of Utah, United States.
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Kim B, Girnis J, Sweet V, Nobiling T, Agag T, Neville C. Impact of motor task conditions on end-point kinematics and trunk movements during goal-directed arm reach. Sci Rep 2024; 14:4520. [PMID: 38402209 PMCID: PMC10894230 DOI: 10.1038/s41598-024-54723-4] [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: 08/31/2023] [Accepted: 02/15/2024] [Indexed: 02/26/2024] Open
Abstract
Task conditions significantly impact human motor control. We investigated how task type, difficulty, and constraints influence the kinematics of goal-directed arm reaching. Non-disabled young adults performed two distinct goal-directed arm reaching tasks: pointing and picking up an object with chopsticks. These tasks were carried out under various conditions, including constrained and unconstrained elbow extension and two different task difficulties. We collected kinematic data using a 3-D motion capture system and analyzed the effects of different task conditions on kinematic variables using linear mixed-effects regression analysis. Our findings revealed statistically significant differences in kinematics between the two tasks. Arm reaching during the picking-up task was slower and exhibited jerkier movements compared to the pointing task. Additionally, when arm reaching was performed with constrained elbow extension, it led to slower and jerkier movements, with an increased involvement of trunk movements compared to the unconstrained condition. These findings show that complex manipulative motor tasks requiring higher hand dexterity necessitate feedback-based control of arm reaching, but simple pointing tasks requiring less hand dexterity do not. In conclusion, our study sheds light on the influence of task conditions on goal-directed arm reaching kinematics and provides valuable insights into the motor control strategies involved in different tasks.
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Affiliation(s)
- Bokkyu Kim
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA.
| | - Jaimie Girnis
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA
| | - Vanessa Sweet
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA
- Jones Memorial Hospital, Wellsville, NY, USA
| | - Tobias Nobiling
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA
- University of Rochester Medical Center, Rochester, NY, USA
| | - Tarek Agag
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA
| | - Christopher Neville
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, 13066, USA
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Antonioni A, Galluccio M, Toselli R, Baroni A, Fregna G, Schincaglia N, Milani G, Cosma M, Ferraresi G, Morelli M, Casetta I, De Vito A, Masiero S, Basaglia N, Malerba P, Severini G, Straudi S. A Multimodal Analysis to Explore Upper Limb Motor Recovery at 4 Weeks After Stroke: Insights From EEG and Kinematics Measures. Clin EEG Neurosci 2023:15500594231209397. [PMID: 37859431 DOI: 10.1177/15500594231209397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Background. Stroke is a leading cause of death and disability worldwide and there is a very short period of increased synaptic plasticity, fundamental in motor recovery. Thus, it is crucial to acquire data to guide the rehabilitation treatment. Promising results have been achieved with kinematics and neurophysiological data, but currently, few studies integrate these different modalities. Objectives. We explored the correlations between standardized clinical scales, kinematic data, and EEG measures 4 weeks after stroke. Methods. 26 patients were considered. Among them, 20 patients also performed the EEG study, beyond the kinematic analysis, at 4 weeks. Results. We found correlations between the Fugl-Meyer Assessment-Upper Extremity, movement duration, smoothness measures, and velocity peaks. Moreover, EEG measures showed a tendency for the healthy hemisphere to vicariate the affected one in patients characterized by better clinical conditions. Conclusions. These results suggest the relevance of kinematic (in particular movement duration and smoothness) and EEG biomarkers to evaluate post-stroke recovery. We emphasize the importance of integrating clinical data with kinematic and EEG analyses from the early stroke stages, in order to guide rehabilitation strategies to best leverage the short period of increased synaptic plasticity.
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Affiliation(s)
- Annibale Antonioni
- Department of Neuroscience and Rehabilitation, Ferrara University, Ferrara, Italy
- Doctoral Program in Translational Neurosciences and Neurotechnologies, Ferrara University, Ferrara, Italy
| | - Martina Galluccio
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Riccardo Toselli
- Department of Neuroscience, Section of Rehabilitation, University of Padua, Padua, Italy
| | - Andrea Baroni
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Giulia Fregna
- Doctoral Program in Translational Neurosciences and Neurotechnologies, Ferrara University, Ferrara, Italy
| | - Nicola Schincaglia
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Giada Milani
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Michela Cosma
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Giovanni Ferraresi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Monica Morelli
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Ilaria Casetta
- Department of Neuroscience and Rehabilitation, Ferrara University, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Alessandro De Vito
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Stefano Masiero
- Department of Neuroscience, Section of Rehabilitation, University of Padua, Padua, Italy
| | - Nino Basaglia
- Department of Neuroscience and Rehabilitation, Ferrara University, Ferrara, Italy
| | - Paola Malerba
- Center for Biobehavioral Health, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
- School of Medicine, The Ohio State University, Columbus, OH, USA
| | - Giacomo Severini
- School of Electrical and Electronic Engineering, University College Dublin, Dulin, Ireland
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, Ferrara University, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
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Cazenave L, Yurkewich A, Hohler C, Keller T, Krewer C, Jahn K, Hirche S, Endo S, Burdet E. Hybrid Functional Electrical Stimulation and Robotic Assistance for Wrist Motion Training After Stroke: Preliminary Results. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941261 DOI: 10.1109/icorr58425.2023.10304736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
This work presents preliminary results of a clinical study with sub-acute stroke patients using a hybrid system for wrist rehabilitation. The patients trained their wrist flexion/extension motion through a target tracking task, where electrical stimulation and robotic torque assisted them proportionally to their tracking error. Five sub-acute stroke patients have completed the training for 3 sessions on separate days. The preliminary results show hybrid assistance improves tracking performance and motion smoothness in most participants. In each session, patients' tracking performances before and after training were evaluated in unassisted tracking trials, without assistance. Their unassisted performance was compared across sessions and the results suggest that moderately to severely impaired patients might benefit more from hybrid training with our system than mildly impaired patients. Subjective assessments from all sessions show that the patients found the use of the device very comfortable and the training enjoyable. More data is being collected and future work will aim at verifying these trends.
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10
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Cacioppo M, Lempereur M, Houx L, Bouvier S, Bailly R, Brochard S. Detecting Movement Changes in Children with Hemiparesis after Upper Limb Therapies: A Responsiveness Analysis of a 3D Bimanual Protocol. SENSORS (BASEL, SWITZERLAND) 2023; 23:4235. [PMID: 37177439 PMCID: PMC10181373 DOI: 10.3390/s23094235] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/17/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023]
Abstract
The "Be an Airplane Pilot" (BE API) protocol was developed to evaluate upper limb (UL) kinematics in children with unilateral cerebral palsy (uCP) during bimanual tasks. The aim of this study was to investigate the responsiveness of this protocol to changes in kinematics and movement quality after UL therapies, using individual and group analyses, and to analyse the relationships between kinematic and functional changes in these children. Twenty children with uCP (5-15 years old) either participated in bimanual intensive therapy or received UL botulinum toxin injections. All the children performed the BE API protocol and functional assessments (Assisting Hand Assessment [AHA]) before and after the interventions. The individual analyses found kinematic changes in 100% of the children after therapy. The group analysis found significantly higher trunk and shoulder deviations after the intensive therapy. No significant changes were found for smoothness or trajectory straightness. The changes in the kinematic deviations were moderately correlated with the changes in the AHA scores. This study confirmed the responsiveness of the BE API protocol to change after therapy; therefore, the protocol is now fully validated and can be implemented in clinical practice. Its use should help in the accurate identification of impairments so that individualized treatments can be proposed.
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Affiliation(s)
- Marine Cacioppo
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France
- Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
- Pediatric Neurology Unit, Children’s Hospital, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Mathieu Lempereur
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
| | - Laetitia Houx
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France
- Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
| | - Sandra Bouvier
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
| | - Rodolphe Bailly
- Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
| | - Sylvain Brochard
- Department of Physical Medicine and Rehabilitation, Brest University Hospital, 29200 Brest, France
- Pediatric Rehabilitation Department, Fondation ILDYS, 29200 Brest, France
- Laboratoire de Traitement de L’Information Médicale (LaTIM), Inserm U1101, Université de Bretagne-Occidentale, 29200 Brest, France
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11
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Germanotta M, Cortellini L, Insalaco S, Aprile I. Effects of Upper Limb Robot-Assisted Rehabilitation Compared with Conventional Therapy in Patients with Stroke: Preliminary Results on a Daily Task Assessed Using Motion Analysis. SENSORS (BASEL, SWITZERLAND) 2023; 23:3089. [PMID: 36991799 PMCID: PMC10057550 DOI: 10.3390/s23063089] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/27/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
Robotic rehabilitation of the upper limb has demonstrated promising results in terms of the improvement of arm function in post-stroke patients. The current literature suggests that robot-assisted therapy (RAT) is comparable to traditional approaches when clinical scales are used as outcome measures. Instead, the effects of RAT on the capacity to execute a daily life task with the affected upper limb are unknown, as measured using kinematic indices. Through kinematic analysis of a drinking task, we examined the improvement in upper limb performance between patients following a robotic or conventional 30-session rehabilitation intervention. In particular, we analyzed data from nineteen patients with subacute stroke (less than six months following stroke), nine of whom treated with a set of four robotic and sensor-based devices and ten with a traditional approach. According to our findings, the patients increased their movement efficiency and smoothness regardless of the rehabilitative approach. After the treatment (either robotic or conventional), no differences were found in terms of movement accuracy, planning, speed, or spatial posture. This research seems to demonstrate that the two investigated approaches have a comparable impact and may give insight into the design of rehabilitation therapy.
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12
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Bayle N, Lempereur M, Hutin E, Motavasseli D, Remy-Neris O, Gracies JM, Cornec G. Comparison of Various Smoothness Metrics for Upper Limb Movements in Middle-Aged Healthy Subjects. SENSORS (BASEL, SWITZERLAND) 2023; 23:1158. [PMID: 36772197 PMCID: PMC9919347 DOI: 10.3390/s23031158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/04/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
BACKGOUND Metrics for movement smoothness include the number of zero-crossings on the acceleration profile (N0C), the log dimensionless jerk (LDLJ), the normalized averaged rectified jerk (NARJ) and the spectral arc length (SPARC). Sensitivity to the handedness and movement type of these four metrics was compared and correlations with other kinematic parameters were explored in healthy subjects. METHODS Thirty-two healthy participants underwent 3D upper limb motion analysis during two sets of pointing movements on each side. They performed forward- and backward-pointing movements at a self-selected speed to a target located ahead at shoulder height and at 90% arm length, with and without a three-second pause between forward and backward movements. Kinematics were collected, and smoothness metrics were computed. RESULTS LDLJ, NARJ and N0C found backward movements to be smoother, while SPARC found the opposite. Inter- and intra-subject coefficients of variation were lowest for SPARC. LDLJ, NARJ and N0C were correlated with each other and with movement time, unlike SPARC. CONCLUSION There are major differences between smoothness metrics measured in the temporal domain (N0C, LDLJ, NARJ), which depend on movement time, and those measured in the frequency domain, the SPARC, which gave results opposite to the other metrics when comparing backward and forward movements.
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Affiliation(s)
- Nicolas Bayle
- UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France
- AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France
| | | | - Emilie Hutin
- UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France
- AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France
| | - Damien Motavasseli
- UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France
- AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France
| | - Olivier Remy-Neris
- U1101 LaTIM, Brest University, F-29200 Brest, France
- Neurological Physical Medicine and Rehabilitation Department, University Hospital of Brest, F-29200 Brest, France
| | - Jean-Michel Gracies
- UR 7377 BIOTN, Paris Est Créteil University (UPEC), F-94000 Créteil, France
- AP-HP, Service de Rééducation Neurolocomotrice, Unité de Neurorééducation, Hôpitaux Universitaires Henri Mondor, F-94000 Créteil, France
| | - Gwenaël Cornec
- U1101 LaTIM, Brest University, F-29200 Brest, France
- Neurological Physical Medicine and Rehabilitation Department, University Hospital of Brest, F-29200 Brest, France
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13
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Saes M, Mohamed Refai MI, van Beijnum BJF, Bussmann JBJ, Jansma EP, Veltink PH, Buurke JH, van Wegen EEH, Meskers CGM, Krakauer JW, Kwakkel G. Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review. Neurorehabil Neural Repair 2022; 36:183-207. [PMID: 35100897 PMCID: PMC8902693 DOI: 10.1177/15459683211062890] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Background Disambiguation of behavioral restitution from compensation is important to better understand recovery of upper limb motor control post-stroke and subsequently design better interventions. Measuring quality of movement (QoM) during standardized performance assays and functional tasks using kinematic and kinetic metrics potentially allows for this disambiguation. Objectives To identify longitudinal studies that used kinematic and/or kinetic metrics to investigate post-stroke recovery of reaching and assess whether these studies distinguish behavioral restitution from compensation. Methods A systematic literature search was conducted using the databases PubMed, Embase, Scopus, and Wiley/Cochrane Library up to July 1st, 2020. Studies were identified if they performed longitudinal kinematic and/or kinetic measurements during reaching, starting within the first 6 months post-stroke. Results Thirty-two longitudinal studies were identified, which reported a total of forty-six different kinematic metrics. Although the majority investigated improvements in kinetics or kinematics to quantify recovery of QoM, none of these studies explicitly addressed the distinction between behavioral restitution and compensation. One study obtained kinematic metrics for both performance assays and a functional task. Conclusions Despite the growing number of kinematic and kinetic studies on post-stroke recovery, longitudinal studies that explicitly seek to delineate between behavioral restitution and compensation are still lacking in the literature. To rectify this situation, future studies should measure kinematics and/or kinetics during performance assays to isolate restitution and during a standardized functional task to determine the contributions of restitution and compensation.
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Affiliation(s)
- M Saes
- Department of Rehabilitation Medicine, 1209Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - M I Mohamed Refai
- Department of Biomedical Signals & Systems, Technical Medical Centre, 214825University of Twente, Enschede, Netherlands
| | - B J F van Beijnum
- Department of Biomedical Signals & Systems, Technical Medical Centre, 214825University of Twente, Enschede, Netherlands
| | - J B J Bussmann
- Department of Rehabilitation Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - E P Jansma
- Medical Library, 1190Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Location VUmcAmsterdam, The Netherlands
| | - P H Veltink
- Department of Biomedical Signals & Systems, Technical Medical Centre, 214825University of Twente, Enschede, Netherlands
| | - J H Buurke
- Department of Biomedical Signals & Systems, Technical Medical Centre, 214825University of Twente, Enschede, Netherlands.,Rehabilitation Technology, Roessingh Research and Development, Enschede, Netherlands.,Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, 12244Northwestern University, Chicago, Il, USA
| | - E E H van Wegen
- Department of Rehabilitation Medicine, 1209Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - C G M Meskers
- Department of Rehabilitation Medicine, 1209Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, 12244Northwestern University, Chicago, Il, USA
| | - J W Krakauer
- Departments of Neurology, Neuroscience and Physical Medicine and Rehabilitation, 1500Johns Hopkins University, Baltimore, MD, United States
| | - G Kwakkel
- Department of Rehabilitation Medicine, 1209Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, 12244Northwestern University, Chicago, Il, USA.,Department of Neurorehabilitation, 522567Amsterdam Rehabilitation Research Centre, Amsterdam, Netherlands
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