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Millot S, Daghsen L, Checkouri T, Wittwer A, Valabregue R, Galanaud D, Lamy JC, Rosso C. Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes. Neurorehabil Neural Repair 2024:15459683241270056. [PMID: 39162251 DOI: 10.1177/15459683241270056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/21/2024]
Abstract
BACKGROUND Early prediction of poststroke motor recovery is challenging in clinical settings. The Prediction recovery potential (PREP2) algorithm is the most accurate approach for prediction of Upper Limb function available to date but lacks external validation. OBJECTIVES (i) To externally validate the PREP2 algorithm in a prospective cohort, (ii) to study the characteristics of patients misclassified by the algorithm, and (iii) to compare the performance according to the presence of cognitive syndromes (aphasia, neglect, cognitive disorders). METHODS We enrolled 143 patients with stroke and upper extremity weakness persistent at Day 3. Evaluation to predict the recovery status according to the PREP2 algorithm included age, SAFE and NIHSS scores at Day 3 and transcranial magnetic stimulation to determine the presence of the motor-evoked potential before day seven. Actual recovery (excellent, good, limited, or poor) was defined based on the Action Research Arm test score at 3 months. Accuracy was computed by comparing the predictions of the PREP2 and the actual category of the patient. Additionally, to investigate misclassifications and the impact of cognitive syndromes, we recorded SAFE and NIHSS scores at Day 7, the Montreal Cognitive Assessment (MoCA) score, the presence of aphasia and neglect and Magnetic Resonance Imaging was used to evaluate the corticospinal tract lesion load. RESULTS The PREP2 algorithm showed a very good predictive value with 78% accuracy [95% CI: 71.2%-86.1%], especially for the extreme categories of recovery (EXCELLENT 87.5% [95% CI: 78.9%-96.2%] and POOR 94.9% [95% CI: 87.9%-100%]), and only 46.5% [95% CI: 19.05%-73.25%] for the GOOD category and even worse than chance for the LIMITED category 0%. Pessimistic predictions (false-negative cases) had a drastic improvement in the SAFE score acutely compared to that of well-predicted patients with unfavorable recovery (P < 001). The predictive value of PREP2 decreased significantly when patients had cognitive disorders (MoCA score <24) versus not (69.4% [95% CI: 52.8%-86.1%] vs 93.1% [95% CI: 83.9%-100%], P = .01). CONCLUSION Our study provides an external validation of the PREP2 algorithm in a prospective population and underlines the importance of taking into account cognitive syndromes in motor recovery prediction.
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Affiliation(s)
- Sarah Millot
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Lina Daghsen
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Thomas Checkouri
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Aymeric Wittwer
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- APHP-Urgences Cérébro-Vasculaires, DMU Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Romain Valabregue
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- CENIR, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Damien Galanaud
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- CENIR, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- AP-HP-Service de Neuroradiologie, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean Charles Lamy
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- CENIR, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - Charlotte Rosso
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- STARE Team, iCRIN, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
- APHP-Urgences Cérébro-Vasculaires, DMU Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
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Lindberg PG, AmirShemiraniha N, Krewer C, Maier MA, Hermsdörfer J. Increased dual-task interference during upper limb movements in stroke exceeding that found in aging - a systematic review and meta-analysis. Front Neurol 2024; 15:1375152. [PMID: 39036633 PMCID: PMC11258041 DOI: 10.3389/fneur.2024.1375152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/07/2024] [Indexed: 07/23/2024] Open
Abstract
Objective To determine whether dual-task interference during upper limb tasks is increased in patients after stroke compared to healthy older subjects and to compare magnitude of stroke-induced change in interference to that explained by aging. Methods We conducted a systematic literature search in MEDLINE, CINAHL, Google Scholar and PEDro databases up to October 2023 for studies on upper limb dual-tasks in stroke and elderly healthy subjects. Eleven upper limb dual-task studies in stroke patients and 11 studies in healthy older subjects were identified and systematically reviewed. A meta-analysis was performed on seven stroke studies and on five studies in healthy older subjects that included control groups. Results Most stroke studies investigated proximal arm movements with kinematic measures, but few studies evaluated manual dexterity. In contrast, studies in healthy older subjects used more distal (finger tapping) tasks. The meta-analysis showed that stroke patients had on average a 19% (CI 95% = 1.0-37.3) increase in dual-task interference compared to age-matched healthy controls (Z = 2.06, p = 0.04). Older healthy subjects showed greater dual-task interference compared to younger subjects (19% greater, CI 95% = 6.5-31.2, Z = 2.98, p = 0.003). Conclusion Meta-analysis revealed an increase in dual-task interference during upper limb movements in stroke patients, exceeding age-related changes, supporting the presence of subclinical impairments in divided attention post-stroke that may impede motor recovery.
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Affiliation(s)
- Påvel G. Lindberg
- Institut de Psychiatrie et Neurosciences de Paris, INSERM U1266, Université Paris Cité, Paris, France
- Department of Clinical Sciences, Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden
| | - Nadia AmirShemiraniha
- Chair of Human Movement Science, Department Health and Sport Sciences, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Carmen Krewer
- Chair of Human Movement Science, Department Health and Sport Sciences, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Department of Neurology, Research Group, Schoen Clinic Bad Aibling, Bad Aibling, Germany
| | - Marc A. Maier
- INCC UMR 8002, CNRS, Université Paris Cité, Paris, France
| | - Joachim Hermsdörfer
- Chair of Human Movement Science, Department Health and Sport Sciences, School of Medicine and Health, Technical University of Munich, Munich, Germany
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Gathy E, Cadiat N, Gerardin E, Lambert J, Herman B, Leeuwerck M, Bihin B, Vandermeeren Y. Bimanual coordinated motor skill learning in patients with a chronic cerebellar stroke. Exp Brain Res 2024; 242:1517-1531. [PMID: 38722346 DOI: 10.1007/s00221-024-06830-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: 12/21/2023] [Accepted: 04/01/2024] [Indexed: 05/23/2024]
Abstract
Cerebellar strokes induce coordination disorders that can affect activities of daily living. Evidence-based neurorehabilitation programs are founded on motor learning principles. The cerebellum is a key neural structure in motor learning. It is unknown whether and how well chronic cerebellar stroke individuals (CCSIs) can learn to coordinate their upper limbs through bimanual motor skill learning. The aim was to determine whether CCSIs could achieve bimanual skill learning through a serious game with the REAplan® robot and to compare CCSIs with healthy individuals (HIs). Over three consecutive days, sixteen CCSIs and eighteen HIs were trained on an asymmetric bimanual coordination task ("CIRCUIT" game) with the REAplan® robot, allowing quantification of speed, accuracy and coordination. The primary outcomes were the bimanual speed/accuracy trade-off (BiSAT) and bimanual coordination factor (BiCo). They were also evaluated on a bimanual REACHING task on Days 1 and 3. Correlation analyses between the robotic outcomes and clinical scale scores were computed. Throughout the sessions, BiSAT and BiCo improved during the CIRCUIT task in both HIs and CCSIs. On Day 3, HIs and CCSIs showed generalization of BiSAT, BiCo and transferred to the REACHING task. There was no significant between-group difference in progression. Four CCSIs and two HIs were categorized as "poor learners" according to BiSAT and/or BiCo. Increasing age correlated with reduced BiSAT but not BiCo progression. Over three days of training, HIs and CCSIs improved, retained, generalized and transferred a coordinated bimanual skill. There was no between-group difference, suggesting plastic compensation in CCSIs. Clinical trial NCT04642599 approved the 24th of November 2020.
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Affiliation(s)
- Estelle Gathy
- Stroke Unit, Motor Learning Lab, Neurology Department, CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium
- Louvain Bionics, UCLouvain, Louvain-La-Neuve, Belgium
- NEUR Division, Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
- COSY Division, Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Ninon Cadiat
- Stroke Unit, Motor Learning Lab, Neurology Department, CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium
| | - Eloïse Gerardin
- Stroke Unit, Motor Learning Lab, Neurology Department, CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium
- Louvain Bionics, UCLouvain, Louvain-La-Neuve, Belgium
- NEUR Division, Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Julien Lambert
- COSY Division, Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium
| | - Benoît Herman
- Louvain Bionics, UCLouvain, Louvain-La-Neuve, Belgium
- Institute of Mechanics, Materials and Civil Engineering (iMMC), UCLouvain, Louvain-La-Neuve, Belgium
| | - Mie Leeuwerck
- Department of Physical Medicine and Rehabilitation, CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium
| | - Benoît Bihin
- Scientific Support Unit (USS), CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium
| | - Yves Vandermeeren
- Stroke Unit, Motor Learning Lab, Neurology Department, CHU UCL Namur (Godinne)/UCLouvain, Yvoir, Belgium.
- Louvain Bionics, UCLouvain, Louvain-La-Neuve, Belgium.
- NEUR Division, Institute of NeuroScience (IoNS), UCLouvain, Brussels, Belgium.
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Pavan A, Fasano A, Cortellini L, Lattanzi S, Papadopoulou D, Insalaco S, Germanotta M, Aprile I. Implementation of a robot-mediated upper limb rehabilitation protocol for a customized treatment after stroke: A retrospective analysis. NeuroRehabilitation 2024; 54:411-420. [PMID: 38457161 DOI: 10.3233/nre-230367] [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] [Indexed: 03/09/2024]
Abstract
BACKGROUND Many authors have emphasized the need for individualized treatments in rehabilitation, but no tailored robotic rehabilitation protocol for stroke patients has been established yet. OBJECTIVE To evaluate the effectiveness of a robot-mediated upper limb rehabilitation protocol based on clinical assessment for customized treatment of stroke patients. METHODS Clinical data from 81 patients with subacute stroke, undergoing an upper limb robot-mediated rehabilitation, were analyzed retrospectively. 49 patients were treated using a customized robotic protocol (experimental group, EG) based on a clinically guided flowchart, while 32 were treated without it (control group, CG). Fugl-Meyer Assessment for Upper Extremity (FMA-UE), Motricity Index (MI), modified Barthel Index (mBI) and Numerical Rating Scale (NRS) measured before (T0) and after (T1) rehabilitation intervention were used as clinical outcomes. RESULTS There was statistically significant improvement in both groups in terms of FMA-UE, MI, and mBI, while no change in NRS. Intergroup analysis showed significantly greater improvement of the FMA-UE (P = 0.002) and MI (P < 0.001) in the EG, compared with the CG. CONCLUSION The implementation of our robotic protocol for customized treatment of stroke patients yielded greater recovery in upper limb motor function and strength over robotic treatment without a defined protocol.
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Affiliation(s)
- Arianna Pavan
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
| | - Alessio Fasano
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
| | | | | | | | | | | | - Irene Aprile
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
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Isakova EV, Kotov SV, Guts ES, Zenina VA. [Possibilities of mirror therapy in cognitive rehabilitation after stroke]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:64-71. [PMID: 39166936 DOI: 10.17116/jnevro202412408264] [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] [Indexed: 08/23/2024]
Abstract
The review provides a brief overview of the history of the development of mirror therapy. Current data on the putative mechanisms of mirror therapy as well as the theory of mirror neurons are presented. The authors describe the implementation of the effects of mirror therapy in motor rehabilitation after stroke, including motor imagination or mental simulation of actions, strengthening of spatial attention and self-perception, activation of the ipsilateral corticospinal tract, reorganization of neuronal networks that influence the state of structurally intact but functionally inactive neurons. The authors reflected the prerequisites for the use of mirror therapy in the rehabilitation of cognitive impairment in poststroke patients. The results of current clinical studies and case reports of the use of mirror therapy for the rehabilitation of speech and non-speech cognitive disorders, and neglect syndrome after stroke are presented.
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Affiliation(s)
- E V Isakova
- Vladimirskiy Moscow Regional Research Clinical Institute, Moscow, Russia
| | - S V Kotov
- Vladimirskiy Moscow Regional Research Clinical Institute, Moscow, Russia
| | - E S Guts
- Vladimirskiy Moscow Regional Research Clinical Institute, Moscow, Russia
| | - V A Zenina
- Vladimirskiy Moscow Regional Research Clinical Institute, Moscow, Russia
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Monaghan AS, Hooyman A, Dibble LE, Mehta SH, Peterson DS. Cognitive Predictors of Responsiveness to Reactive Step Training in People with Parkinson's Disease at Fall-Risk. Neurosci Lett 2023; 817:137517. [PMID: 37832815 DOI: 10.1016/j.neulet.2023.137517] [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: 09/06/2023] [Revised: 10/03/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023]
Abstract
Reactive stepping can be improved in people with Parkinson's Disease (PwPD). However, there is variability in the responsiveness to such training. This study examined if cognition could predict the responsiveness of PwPD to a two-week reactive step training intervention. 25 PwPD (70.52 years ± 7.15; Hoehn & Yahr range 1-3) at risk for falls completed a multiple baseline, open-label, uncontrolled pre-post intervention study. Reactive stepping was trained through a two-week (six-session) intervention with repeated support surface translations. Stepping performance was measured at two baseline assessments (B1 and B2), immediately after the intervention (P1), and two months after training (P2). Primary stepping outcomes were anterior-posterior margin of stability (MOS), step length, and step latency during backward steps. The primary aim assessed whether global cognition (Scales for Outcomes in Parkinson's Disease-Cognition - SCOPA-COG, & Montreal Cognitive Assessment - MoCA) was related to two-month retention of improvements in reactive stepping after practice. The secondary aim explored whether specific cognitive domains predicted retained stepping improvements, including attention/working memory, executive function, language, memory, and visuospatial function. Greater baseline global cognition was related to better two-month retention of step length improvements (SCOPA-COG: p = 0.002, f2 = 0.31; MoCA: p = 0.002, f2 = 0.38). However, only SCOPA-COG retained statistical significance after p-value adjustment for multiple comparisons (p = 0.04). Optimal cut-point analysis revealed that a SCOPA-COG threshold of 31 or higher was optimal for identifying individuals likely to retain improvement. Specific cognitive domains did not predict changes in reactive stepping outcomes. Participants with greater baseline global cognition, particularly as measured by SCOPA-COG, demonstrated greater retention of improvements in reactive stepping. In this cohort, a SCOPA-COG threshold of 31 could predict individuals likely to benefit from the intervention. These findings highlight the potential of cognitive screening to identify people more or less likely to benefit from reactive balance training.
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Affiliation(s)
- Andrew S Monaghan
- College of Health Solutions, Arizona State University, 550 N 3(rd) St, Phoenix, AZ 85004, USA
| | - Andrew Hooyman
- School of Biological and Health Systems Engineering, Arizona State University, 501 E Tyler Mall Wing, Tempe, AZ 85281, USA
| | - Leland E Dibble
- Department of Physical Therapy and Athletic Training, University of Utah, 520 Wakara Way, Salt Lake City, UT 84108, USA
| | | | - Daniel S Peterson
- College of Health Solutions, Arizona State University, 550 N 3(rd) St, Phoenix, AZ 85004, USA; Phoenix VA Health Care Center, 1500 E Thomas Rd, Phoenix, AZ 85014, USA.
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Liu X, Zhang W, Li W, Zhang S, Lv P, Yin Y. Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial. BMC Neurol 2023; 23:136. [PMID: 37003976 PMCID: PMC10064693 DOI: 10.1186/s12883-023-03150-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/07/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Seeking positive and comprehensive rehabilitation methods after stroke is an urgent problem to be solved, which is very important to improve the dysfunction of stroke. The aim of this study was to investigate the effects of motor imagery-based brain-computer interface training (MI-BCI) on upper limb function and attention in stroke patients with hemiplegia. METHODS Sixty stroke patients with impairment of upper extremity function and decreased attention were randomly assigned to the control group (CR group) or the experimental group (BCI group) in a 1:1 ratio. Patients in the CR group received conventional rehabilitation. Patients in the BCI group received 20 min of MI-BCI training five times a week for 3 weeks (15 sessions) in addition to conventional rehabilitation. The primary outcome measures were the changes in Fugl-Meyer Motor Function Assessment of Upper Extremities (FMA-UE) and Attention Network Test (ANT) from baseline to 3 weeks. RESULTS About 93% of the patients completed the allocated training. Compared with the CR group, among those in the BCI group, FMA-UE was increased by 8.0 points (95%CI, 5.0 to 10.0; P < 0.001). Alert network response time (32.4ms; 95%CI, 58.4 to 85.6; P < 0.001), orienting network response (5.6ms; 95%CI, 29.8 to 55.8; P = 0.010), and corrects number (8.0; 95%CI, 17.0 to 28.0; P < 0.001) also increased in the BCI group compared with the CR group. Additionally, the executive control network response time (- 105.9ms; 95%CI, - 68.3 to - 23.6; P = 0.002), the total average response time (- 244.8ms; 95%CI, - 155.8 to - 66.2; P = 0.002), and total time (- 122.0ms; 95%CI, - 80.0 to - 35.0; P = 0.001) were reduced in the BCI group compared with the CR group. CONCLUSION MI-BCI combined with conventional rehabilitation training could better enhance upper limb motor function and attention in stroke patients. This training method may be feasible and suitable for individuals with stroke. TRIAL REGISTRATION This study was registered in the Chinese Clinical Trial Registry with Portal Number ChiCTR2100050430(27/08/2021).
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Affiliation(s)
- Xiaolu Liu
- College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, 063210, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, 050000, China
| | - Wendong Zhang
- Department of Rehabilitation, Hebei General Hospital, Shijiazhuang, 050000, China
| | - Weibo Li
- Department of Gastrointestinal Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
| | - Shaohua Zhang
- Department of Medical, The Eighth People's Hospital of Hebei Province, Shijiazhuang, 050000, China
| | - Peiyuan Lv
- Department of Neurology, Hebei General Hospital, Shijiazhuang, 050000, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, 050000, China
| | - Yu Yin
- Department of Rehabilitation, Hebei General Hospital, Shijiazhuang, 050000, China.
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, 050000, China.
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Pinelli M, Manetti S, Lettieri E. Assessing the Social and Environmental Impact of Healthcare Technologies: Towards an Extended Social Return on Investment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5224. [PMID: 36982131 PMCID: PMC10049561 DOI: 10.3390/ijerph20065224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
Stroke is the third leading cause of death and disability overall worldwide. Upper limb impairment is a common consequence for stroke survivors, having negative impact on their quality of life. Robotic rehabilitation, through repetitive and monitored movements, can improve their status. Developed by a team of researchers at Politecnico di Milano, AGREE is an exoskeleton for upper limb rehabilitation at the stage gate between translational research and clinical validation. Since the cost of this device is particularly high, the present study aimed to provide a framework for assessing its value. The Social Return on Investment (SROI) method, able to grasp the economic, social and environmental impact of an activity, was applied, using expert opinions of a pool of clinical engineers and healthcare professionals from different Italian hospitals to obtain information. Environmental impacts were estimated through Life Cycle Assessment in terms of CO2 emissions and incorporated in the analysis. Considering a 5-year period, the SROI for a single exoskeleton was 3.75:1, and the SROI for the number of exoskeletons projected to be sold was 2.868:1, thus resulting largely in value for money. This study provides a model for combining economic, social and environmental outcomes that, besides contributing to theory, could be useful for decision-making.
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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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10
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Wang Y, Ye M, Tong Y, Xiong L, Wu X, Geng C, Zhang W, Dai Z, Tian W, Rong J. Effects of robot-assisted therapy on upper limb and cognitive function in patients with stroke: study protocol of a randomized controlled study. Trials 2022; 23:538. [PMID: 35765084 PMCID: PMC9238006 DOI: 10.1186/s13063-022-06361-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 04/26/2022] [Indexed: 12/01/2022] Open
Abstract
Background Impairments in upper limb motor function and cognitive ability are major health problems experienced by stroke patients, necessitating the development of novel and effective treatment options in stroke care. The aim of this study is to examine the effects of robot-assisted therapy on improving upper limb and cognitive functions in stroke patients. Methods This will be a single-blinded, 2-arm, parallel design, randomized controlled trial which will include a sample size of 86 acute and subacute stroke patients to be recruited from a single clinical hospital in Shanghai, China. Upon qualifying the study eligibility, participants will be randomly assigned to receive either robot-assisted therapy or conventional therapy with both interventions being conducted over a 6-week period in a clinical rehabilitation setting. In addition to comprehensive rehabilitation, the robot-assisted therapy group will receive a 30-min Armguider robot-assisted therapy intervention 5 days a week. Primary efficacy outcomes will include Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and Mini-Mental Status Examination (MMSE). Other secondary outcomes will include Trail Making Test (TMT), Auditory Verbal Learning Test (AVLT), Digit Symbol Substitution Test (DSST), and Rey–Osterrieth Complex Figure Test (ROCFT). All trial outcomes will be assessed at baseline and at 6-week follow-up. Intention-to-treat analyses will be performed to examine changes from baseline in the outcomes. Adverse events will be monitored throughout the trial period. Discussion This will be the first randomized controlled trial aimed at examining the effects of robot-assisted therapy on upper limb and cognitive functions in acute and subacute stroke patients. Findings from the study will contribute to our understanding of using a novel robotic rehabilitation approach to stroke care and rehabilitation. Trial registration Chinese Clinical Trial Registry ChiCTR2100050856. Registered on 5 September 2021.
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Affiliation(s)
- Yana Wang
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.,Key Laboratory of Exercise and Health Science of Ministry of Education, Shanghai University of Sport, Shanghai, China
| | - Mingzhu Ye
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Yujie Tong
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Li Xiong
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Xuejiao Wu
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Chao Geng
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Wen Zhang
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Ziqi Dai
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China
| | - Wei Tian
- The Neurorehabilitation Center, the First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Jifeng Rong
- The Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
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11
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Schuch CP, Lam TK, Levin MF, Cramer SC, Swartz RH, Thiel A, Chen JL. A comparison of lesion-overlap approaches to quantify corticospinal tract involvement in chronic stroke. J Neurosci Methods 2022; 376:109612. [PMID: 35487314 DOI: 10.1016/j.jneumeth.2022.109612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 10/18/2022]
Affiliation(s)
- Clarissa Pedrini Schuch
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, M5S 2W6, Canada
| | - Timothy K Lam
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, M4N 3M5, Canada
| | - Mindy F Levin
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, H3G 1Y5, Canada; Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, QC, H7V 1R2, Canada
| | - Steven C Cramer
- Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles; and California Rehabilitation Institute; Los Angeles, CA, 90095-1769, United States of America
| | - Richard H Swartz
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, M4N 3M5, Canada; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, M4N 3M5, Canada
| | - Alexander Thiel
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Joyce L Chen
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, M5S 2W6, Canada; Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, M4N 3M5, Canada.
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12
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Correlative study between attention deficits and upper extremity motor dysfunction after stroke. Int J Health Sci (Qassim) 2022. [DOI: 10.53730/ijhs.v6ns2.6408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background/aim: Motor dysfunction is one of the major byproducts of stroke; however, another domain that is severely affected yet mostly neglected is cognition. It is not certain yet whether a relationship between cognitive impairment (attention) and upper-limb motor impairment is present. The aim of our study was to investigate the correlation between attention deficits with upper limb motor dysfunction after stroke. Material and methods: Sixty stroke survivors were recruited in this correlational study. Upper limb motor function was evaluated by the Upper Limb Functional Index (ULFI). Attention deficits were evaluated by the Mini Mental State Examination (MMSE). For correlation, data were imported into Statistical Package for the Social Sciences (SPSS version 20.0). A result was considered statistically significant when p was <0.05. Chi-Square testΧ² was used to test the association variables for categorical data. Results: There was significant correlation between Mini Mental State Examination with motor functions MMSE with ULFI (r=.295*, p=.022). Conclusion: There is a significant correlation between attention deficits and motor dysfunction of the upper extremities in patients after stroke.
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13
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Burdea G, Kim N, Polistico K, Kadaru A, Grampurohit N, Hundal J, Pollack S. Robotic Table and Serious Games for Integrative Rehabilitation in the Early Poststroke Phase: Two Case Reports. JMIR Rehabil Assist Technol 2022; 9:e26990. [PMID: 35416787 PMCID: PMC9047881 DOI: 10.2196/26990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 08/16/2021] [Accepted: 01/25/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND BrightArm Compact is a new rehabilitation system for the upper extremities. It provides bimanual training with gradated gravity loading and mediates interactions with cognitively challenging serious games. OBJECTIVE The aim of this study is to design and test a robotic rehabilitation table-based virtual rehabilitation system for functional impact of the integrative training in the early poststroke phase. METHODS A new robotic rehabilitation table, controllers, and adaptive games were developed. The 2 participants underwent 12 experimental sessions in addition to the standard of care. Standardized measures of upper extremity function (primary outcome), depression, and cognition were administered before and after the intervention. Nonstandardized measures included game variables and subjective evaluations. RESULTS The 2 case study participants attained high total arm repetitions per session (504 and 957) and achieved high grasp and finger-extension counts. Training intensity contributed to marked improvements in affected shoulder strength (225% and 100% increase), grasp strength (27% and 16% increase), and pinch strength (31% and 15% increase). The shoulder flexion range increased by 17% and 18% and elbow supination range by 75% and 58%. Improvements in motor function were at or above minimal clinically important difference for the Fugl-Meyer Assessment (11 and 10 points), Chedoke Arm and Hand Activity Inventory (11 and 14 points), and Upper Extremity Functional Index (19 and 23 points). Cognitive and emotive outcomes were mixed. Subjective rating by participants and training therapists were positive (average 4, SD 0.22, on a 5-point Likert scale). CONCLUSIONS The design of the robotic rehabilitation table was tested on 2 participants in the early poststroke phase, and results are encouraging for upper extremity functional gains and technology acceptance. TRIAL REGISTRATION ClinicalTrials.gov NCT04252170; https://clinicaltrials.gov/ct2/show/NCT04252170.
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Affiliation(s)
- Grigore Burdea
- Corporate Laboratories, Bright Cloud International Corp, North Brunswick, NJ, United States
- Electrical and Computer Engineering Department, Rutgers-The State University of New Jersey, Piscataway, NJ, United States
| | - Nam Kim
- Corporate Laboratories, Bright Cloud International Corp, North Brunswick, NJ, United States
| | - Kevin Polistico
- Corporate Laboratories, Bright Cloud International Corp, North Brunswick, NJ, United States
| | - Ashwin Kadaru
- Corporate Laboratories, Bright Cloud International Corp, North Brunswick, NJ, United States
| | - Namrata Grampurohit
- Corporate Laboratories, Bright Cloud International Corp, North Brunswick, NJ, United States
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States
| | - Jasdeep Hundal
- Hundal Neuropsychology Group, Hillsborough, NJ, United States
- Robert Wood Johnson Medical School, Rutgers-The State University of New Jersey, Department of Neurology, New Brunswick, NJ, United States
| | - Simcha Pollack
- Computer Information Systems and Decision Sciences, St John's University, New York City, NY, United States
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14
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Divya M, Narkeesh A. Therapeutic Effect of Multi-Channel Transcranial Direct Current Stimulation (M-tDCS) on Recovery of Cognitive Domains, Motor Functions of Paretic Hand and Gait in Subacute Stroke Survivors-A Randomized Controlled Trial Protocol. Neurosci Insights 2022; 17:26331055221087741. [PMID: 35392020 PMCID: PMC8980417 DOI: 10.1177/26331055221087741] [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: 10/05/2021] [Accepted: 02/28/2022] [Indexed: 11/26/2022] Open
Abstract
Background There has been rapid drift of rehabilitation professionals toward the clinical use of technology aided electrical interventions. Brain is a cortical hub of functionally related neural connections. Motor learning entails strong interaction with the cognitive domains. So better outcomes may be expected by optimally targeting functionally correlated areas simultaneously through tDCS. Aim To determine the therapeutic effect of Multi Channel tDCS in combination with Functional electrical stimulation, SaeboFlex and conventional rehabilitation on recovery of Cognitive Domains, Motor Functions of Paretic Hand, and Gait in individuals with subacute Stroke. Methods This is prospective, randomized, double blind controlled clinical trial. Subacute Stroke Survivors with the age Group (40-75 years) will constitute the Population of the study. Participants will be randomly allocated to experimental or control group. Participants of Experimental group will receive Multi channel tDCS, Functional electrical stimulation, Saebo Flex Training and conventional rehabilitation. Participants of the group B will receive FES, training with SaeboFlex, conventional physiotherapy intervention similar to as given to the participants of group A and sham multi channel tDCS. Outcome Measures The primary outcome measures of the study will be Fugl Meyer assessment, Electroencephalogram and secondary outcome measures of the study will be Grip strength, Pinch strength, Nine hole peg test( NHPT), Wisconsin gait scale, Montreal cognitive assessment, Electroencephaloraphy to observe the cortical changes and tDCS adverse effect questionnaire and stroke specific quality of Life scale. Statistical Analysis The primary analysis of the study will be done at the end of 4 weeks. Statistical analysis of data will be done using SPSS Version 22 with the help of a statistician. Conclusion An insight into the therapeutic interventions augmenting, cognitive and motor domains simultaneously may yield better outcomes in the field of stroke rehabilitation thereby improving quality of life of stroke survivors.
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Affiliation(s)
- Midha Divya
- Department of Physiotherapy, Punjabi University, Patiala, Punjab, India
| | - Arumugam Narkeesh
- Department of Physiotherapy, Punjabi University, Patiala, Punjab, India
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15
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Chen L, Chen Y, Fu WB, Huang DF, Lo WLA. The Effect of Virtual Reality on Motor Anticipation and Hand Function in Patients with Subacute Stroke: A Randomized Trial on Movement-Related Potential. Neural Plast 2022; 2022:7399995. [PMID: 35111219 PMCID: PMC8803454 DOI: 10.1155/2022/7399995] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/09/2021] [Indexed: 11/17/2022] Open
Abstract
Background Impaired cognitive ability to anticipate the required control for an upcoming task in patients with stroke may affect rehabilitation outcome. The cortical excitability of task-related motor anticipation for upper limb movement induced by virtual reality (VR) training remains unclear. Aims To investigate the effect of VR training on the cortical excitability of motor anticipation when executing upper limb movement in patients with subacute stroke. Methods A total of thirty-six stroke survivors with upper limb hemiparesis resulting from the first occurrence of stroke within 1 to 3 months were recruited. Participants were randomly allocated to the VR intervention group or conventional therapy group. Event-related potentials (ERPs) and electromyography (EMG) were used to simultaneously record the cortical excitability and muscle activities during palmar grasp motion. Outcome measures of the contingent negative variation (CNV) latency and amplitude, EMG reaction time, Upper Limb Fugl-Meyer Assessment (UL-FMA), Action Research Arm Test (ARAT), and National Institutes of Health Stroke Scale (NIHSS) were recorded pre- and postintervention. The between-group difference was analysed by mixed model ANOVA. Results The EMG onset time of the paretic hand in the VR group was earlier than that observed in the control group (t = 2.174, p = 0.039) postintervention. CNV latency reduction postintervention was larger in the VR group than in the control group (t = 2.411, p = 0.021) during paretic hand movement. The reduction in CNV amplitude in the VR group was larger in the VR group than in the control group (p < 0.001 for all electrodes except for C3) when executing paretic hand movement. ARAT and UL-FMA scores were significantly higher in the VR group than in the control group (p = 0.019 and p = 0.037, respectively) postintervention. No significant difference in the reduction in NIHSS was found between the VR and control groups (p = 0.072). Conclusions VR intervention is superior to conventional therapy to improve the cognitive neural process of motor anticipation and reduce the excessive compensatory activation of the contralesional hemisphere. The improvements observed in the cognitive neural process corroborated with the improvements in hand function.
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Affiliation(s)
- Ling Chen
- Department of Acupuncture and Moxibustion, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yi Chen
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wen Bin Fu
- Department of Acupuncture and Moxibustion, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dong Feng Huang
- Department of Rehabilitation, The First Affiliated Hospital, Sun Yat-sen University, China
- Guangdong Engineering and Technology Research Center for Rehabilitation Medicine and Translation, Sun Yat-sen University, Guangzhou 510080, China
- Department of Rehabilitation Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation, The First Affiliated Hospital, Sun Yat-sen University, China
- Guangdong Engineering and Technology Research Center for Rehabilitation Medicine and Translation, Sun Yat-sen University, Guangzhou 510080, China
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16
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Vuong V, Patterson KK, Cole LP, Henechowicz TL, Sheridan C, Green REA, Thaut MH. Relationship Between Cognition and Gait at 2- and 12-Months Post-Traumatic Brain Injury. FRONTIERS IN REHABILITATION SCIENCES 2021; 2:726452. [PMID: 36188837 PMCID: PMC9397897 DOI: 10.3389/fresc.2021.726452] [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: 06/16/2021] [Accepted: 11/04/2021] [Indexed: 11/13/2022]
Abstract
Background: A common and debilitating challenge experienced by people with TBI is gait-associated mobility impairment and persisting cognitive impairments. Cognitive and physical impairments are often addressed independently during rehabilitation, however, increasing evidence links cognitive and motor processes more closely. Objectives: (1) To determine if correlations exist between measures of cognitive and gait recovery, post-TBI. (2) To investigate the predictive power of cognition at 2-months on gait outcomes at 12-months post-TBI. Methods: In this secondary, longitudinal study of cognitive and neural recovery, data from 93 participants admitted to an inpatient neurorehabilitation program were analyzed. Spatiotemporal gait variables [velocity, step time variability (STV), step length variability (SLV)] were collected along with cognitive variables [Trail Making Test-B (TMT-B), Digit Span-Forward (DS-F)]. Spearman's correlation coefficients were calculated between gait and cognitive variables. Multilinear and step wise regression analyses were calculated to determine predictive value of cognitive variables at 2-months on gait performance at 12-months-post TBI. Results: At 2-months post-injury, TMT-B was significantly correlated with gait velocity and STV; and DS-F was significantly correlated with velocity. At 12-months post-injury, TMT-B and DS-F was still significant correlated with velocity. TMT-B at 2-months was correlated with SLV and STV at 12-months; and DS-F correlated significantly with velocity. Regression models showed TMT-B at 2-months predicting STV, SLV, and velocity at 12-months. Conclusions: Significant associations and predictions between physical and cognitive recovery post-TBI were observed in this study. Future directions may consider a "neural internetwork" model as a salient rehabilitation approach in TBI that integrates physical and cognitive functions.
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Affiliation(s)
- Veronica Vuong
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Kara K. Patterson
- Knowledge, Innovation, Talent, Everywhere (KITE) Research Institute, University Health Network, Toronto, ON, Canada
- Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lauren Patricia Cole
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
| | - Tara Lynn Henechowicz
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
| | - Conor Sheridan
- Knowledge, Innovation, Talent, Everywhere (KITE) Research Institute, University Health Network, Toronto, ON, Canada
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Robin E. A. Green
- Knowledge, Innovation, Talent, Everywhere (KITE) Research Institute, University Health Network, Toronto, ON, Canada
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Michael H. Thaut
- Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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17
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Lingo VanGilder J, Lopez-Lennon C, Paul SS, Dibble LE, Duff K, Schaefer SY. Relating Global Cognition With Upper-Extremity Motor Skill Retention in Individuals With Mild-to-Moderate Parkinson's Disease. FRONTIERS IN REHABILITATION SCIENCES 2021; 2:754118. [PMID: 36188810 PMCID: PMC9397847 DOI: 10.3389/fresc.2021.754118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/27/2021] [Indexed: 11/18/2022]
Abstract
Background and Purpose: Cognition has been linked to rehabilitation outcomes in stroke populations, but this remains unexplored in individuals with Parkinson's disease (PD). The purpose of this secondary data analysis from a recent clinical trial (NCT02600858) was to determine if global cognition was related to skill performance after motor training in individuals with PD. Methods: Twenty-three participants with idiopathic PD completed 3 days of training on an upper-extremity task. For the purposes of the original clinical trial, participants trained either "on" or "off" their dopamine replacement medication. Baseline, training, and 48-h retention data have been previously published. Global cognition was evaluated using the Montreal Cognitive Assessment (MoCA). Linear regression examined whether MoCA score predicted longer-term retention at nine-day follow-up; baseline motor task performance, age, PD severity, depressive symptoms, and group (medication "on"/"off") were included as covariates. Baseline and follow-up motor task performance were assessed for all participants while "on" their medication. Results: MoCA score was positively related to follow-up motor task performance, such that individuals with better cognition were faster than those with poorer cognition. Baseline task performance, age, PD severity, depressive symptoms, and medication status were unrelated to follow-up performance. Discussion and Conclusions: Results of this secondary analysis align with previous work that suggest cognitive impairment may interfere with motor learning in PD and support the premise that cognitive training prior to or concurrent with motor training may enhance rehabilitative outcomes for individuals with PD. Findings also suggest that assessing cognition in individuals with PD could provide prognostic information about their responsiveness to motor rehabilitation.
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Affiliation(s)
- Jennapher Lingo VanGilder
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States
| | - Cielita Lopez-Lennon
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
| | - Serene S. Paul
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
- Discipline of Physiotherapy, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Leland E. Dibble
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
| | - Kevin Duff
- Center for Alzheimer's Care, Imaging and Research, University of Utah Health Sciences Center, Salt Lake City, UT, United States
- Department of Neurology, University of Utah Hospital, Salt Lake City, UT, United States
| | - Sydney Y. Schaefer
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT, United States
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18
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Deep Learning-Based Image Automatic Assessment and Nursing of Upper Limb Motor Function in Stroke Patients. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:9059411. [PMID: 34476048 PMCID: PMC8407988 DOI: 10.1155/2021/9059411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/13/2021] [Indexed: 11/17/2022]
Abstract
This paper mainly introduces the relevant contents of automatic assessment of upper limb mobility after stroke, including the relevant knowledge of clinical assessment of upper limb mobility, Kinect sensor to realize spatial location tracking of upper limb bone points, and GCRNN model construction process. Through the detailed analysis of all FMA evaluation items, a unique experimental data acquisition environment and evaluation tasks were set up, and the results of FMA prediction using bone point data of each evaluation task were obtained. Through different number and combination of tasks, the best coefficient of determination was achieved when task 1, task 2, and task 5 were simultaneously used as input for FMA prediction. At the same time, in order to verify the superior performance of the proposed method, a comparative experiment was set with LSTM, CNN, and other deep learning algorithms widely used. Conclusion. GCRNN was able to extract the motion features of the upper limb during the process of movement from the two dimensions of space and time and finally reached the best prediction performance with a coefficient of determination of 0.89.
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Plantin J, Verneau M, Godbolt AK, Pennati GV, Laurencikas E, Johansson B, Krumlinde-Sundholm L, Baron JC, Borg J, Lindberg PG. Recovery and Prediction of Bimanual Hand Use After Stroke. Neurology 2021; 97:e706-e719. [PMID: 34400568 PMCID: PMC8377875 DOI: 10.1212/wnl.0000000000012366] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 05/20/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine similarities and differences in key predictors of recovery of bimanual hand use and unimanual motor impairment after stroke. METHOD In this prospective longitudinal study, 89 patients with first-ever stroke with arm paresis were assessed at 3 weeks and 3 and 6 months after stroke onset. Bimanual activity performance was assessed with the Adult Assisting Hand Assessment Stroke (Ad-AHA), and unimanual motor impairment was assessed with the Fugl-Meyer Assessment (FMA). Candidate predictors included shoulder abduction and finger extension measured by the corresponding FMA items (FMA-SAFE; range 0-4) and sensory and cognitive impairment. MRI was used to measure weighted corticospinal tract lesion load (wCST-LL) and resting-state interhemispheric functional connectivity (FC). RESULTS Initial Ad-AHA performance was poor but improved over time in all (mild-severe) impairment subgroups. Ad-AHA correlated with FMA at each time point (r > 0.88, p < 0.001), and recovery trajectories were similar. In patients with moderate to severe initial FMA, FMA-SAFE score was the strongest predictor of Ad-AHA outcome (R 2 = 0.81) and degree of recovery (R 2 = 0.64). Two-point discrimination explained additional variance in Ad-AHA outcome (R 2 = 0.05). Repeated analyses without FMA-SAFE score identified wCST-LL and cognitive impairment as additional predictors. A wCST-LL >5.5 cm3 strongly predicted low to minimal FMA/Ad-AHA recovery (≤10 and 20 points respectively, specificity = 0.91). FC explained some additional variance to FMA-SAFE score only in unimanual recovery. CONCLUSION Although recovery of bimanual activity depends on the extent of corticospinal tract injury and initial sensory and cognitive impairments, FMA-SAFE score captures most of the variance explained by these mechanisms. FMA-SAFE score, a straightforward clinical measure, strongly predicts bimanual recovery. CLINICALTRIALSGOV IDENTIFIER NCT02878304. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that the FMA-SAFE score predicts bimanual recovery after stroke.
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Affiliation(s)
- Jeanette Plantin
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France.
| | - Marion Verneau
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Alison K Godbolt
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Gaia Valentina Pennati
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Evaldas Laurencikas
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Birgitta Johansson
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Lena Krumlinde-Sundholm
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Jean-Claude Baron
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Jörgen Borg
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
| | - Påvel G Lindberg
- From the Department of Clinical Sciences (J.P., A.K.G., G.V.P., E.L., J.B., P.G.L.), Karolinska Institutet, Danderyd University Hospital, Stockholm, Sweden; Institut de Psychiatrie et Neurosciences de Paris (M.V., J.-C.B., P.G.L.), Inserm U1266, Paris, France; Division of Rehabilitation Medicine (B.J.), Danderyd University Stockholm; Department of Women's and Children's Health (L.K.S.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurology (J.-C.B.), Hôpital Sainte-Anne, Université de Paris, France
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Effect of the complex physical therapy on the upper extremity function, functional independence and cognition in post-stroke patients. EUREKA: HEALTH SCIENCES 2021. [DOI: 10.21303/2504-5679.2021.001768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Motor dysfunction and cognitive impairment (CI) are the most prevalent and disabling among the stroke consequences. CI decreases the effectivity of motor rehabilitation, but motor dysfunction itself may also influence the manifestations and progression of CI. So development and study of novel physical therapy tactics, which are aiming to target both of these syndromes, becomes a subject of great interest nowadays.
The aim of study was to evaluate the impact of different physical therapy approaches on the upper extremity function, cognition and functional independence in patients in 1 year after ischemic stroke.
Materials and methods. Totally there were 72 patients examined in the 1-year period after first-ever anterior circulation ischemic stroke. Neurological status, upper extremity function and functional independence were assessed with the National Institutes of Health Stroke Scale (NIHSS), Fugl-Meyer assessment (FMA), modified Rankin Scale (mRS) and the Functional Independence Measurement (FIM). Cognitive function was assessed with the Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), Trail-making Test A and B tests (TMT). Patients in Group 1 received secondary stroke prevention therapy and performed the exercises complex for general muscle function improvement for 2 months; patients in Group 2 also performed the exercise complex for paretic hand function improvement for 2 months.
Results. After 2 months of physical therapy a significant increase of the FIM “Self-care”, “Transfer” and therefore subtotal motor and total scores was observed in patients in Group 2; in Group 1 significant improvement was observed only in “Transfer” and subtotal motor scores. Adding of the hand exercise to the physical therapy complex (Group 2) appeared to be more beneficial for the upper extremity motor function. Patients in Group 2 after 2 months showed increase of the FMA “Wrist” score by 40 % (p<0.05), “Hand” score by 42.8 % (p<0.01) and “Total motor function” by 30.1 % (p<0.05), and the “Total motor function” score in Group 2 was 10.9 % higher in comparison with the Group 1 (p<0.05). In cognitive status significant differences compared to baseline level were observed only in Group 2; MoCA score increased by 14.3 % (p<0.05) and TMT-B performance time decreased by 14.8 % (p<0.05). Baseline MoCA score correlated with FMA “Wrist” (r=0.32; p=0.028), “Hand” (r=0.49; p=0.001) and “Total motor function” (r=0.46; p=0.004) scores. TMT-B score showed significant correlation with the FMA “Wrist” (r=-0.032; p=0.025), “Hand” (-0.45; p=0.009), “Speed/coordination” (r=-0.023; p=0.036) and “Total motor function” (r=-0.42; p=0.023).
Conclusion. Adding of exercise for hand function improvement into the physical therapy complex for post-stroke patients contributes to better upper extremity motor performance and therefore is more favourable for patients’ functional independence. Upper extremity motor impairment, especially hand and wrist dysfunction, are associated with worse cognitive performance. Hand function and fine motor skills improvement could be beneficial for the patients’ cognition. Further research is needed in regard to the prognostic significance of these findings and their impact on the treatment and rehabilitation strategies.
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Lin DJ, Erler KS, Snider SB, Bonkhoff AK, DiCarlo JA, Lam N, Ranford J, Parlman K, Cohen A, Freeburn J, Finklestein SP, Schwamm LH, Hochberg LR, Cramer SC. Cognitive Demands Influence Upper Extremity Motor Performance During Recovery From Acute Stroke. Neurology 2021; 96:e2576-e2586. [PMID: 33858997 DOI: 10.1212/wnl.0000000000011992] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/26/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that cognitive demands influence motor performance during recovery from acute stroke, we tested patients with acute stroke on 2 motor tasks with different cognitive demands and related task performance to cognitive impairment and neuroanatomic injury. METHODS We assessed the contralesional and ipsilesional upper extremities of a cohort of 50 patients with weakness after unilateral acute ischemic stroke at 3 time points with 2 tasks: the Box & Blocks Test, a task with greater cognitive demand, and Grip Strength, a simple and ballistic motor task. We compared performance on the 2 tasks, related motor performance to cognitive dysfunction, and used voxel-based lesion symptom mapping to determine neuroanatomic sites associated with motor performance. RESULTS Consistent across contralesional and ipsilesional upper extremities and most pronounced immediately after stroke, Box & Blocks scores were significantly more impaired than Grip Strength scores. The presence of cognitive dysfunction significantly explained up to 33% of variance in Box & Blocks performance but was not associated with Grip Strength performance. While Grip Strength performance was associated with injury largely restricted to sensorimotor regions, Box & Blocks performance was associated with broad injury outside sensorimotor structures, particularly the dorsal anterior insula, a region known to be important for complex cognitive function. CONCLUSIONS Together, these results suggest that cognitive demands influence upper extremity motor performance during recovery from acute stroke. Our findings emphasize the integrated nature of motor and cognitive systems and suggest that it is critical to consider cognitive demands during motor testing and neurorehabilitation after stroke.
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Affiliation(s)
- David J Lin
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles.
| | - Kimberly S Erler
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Samuel B Snider
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Anna K Bonkhoff
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Julie A DiCarlo
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Nicole Lam
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Jessica Ranford
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Kristin Parlman
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Audrey Cohen
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Jennifer Freeburn
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Seth P Finklestein
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Lee H Schwamm
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Leigh R Hochberg
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
| | - Steven C Cramer
- From the Center for Neurotechnology and Neurorecovery (D.J.L., J.A.D., N.L., J.R., K.P., A.C., J.F., L.R.H.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston; Division of Neurocritical Care (D.J.L., L.R.H.), Department of Neurology, Stroke Service (D.J.L., S.P.F., L.H.S., L.R.H.), Department of Neurology, J. Philip Kistler Stroke Research Center (A.K.B.), Department of Neurology, Department of Occupational Therapy (J.R.), Department of Physical Therapy (K.P.), and Department of Speech, Language, and Swallowing Disorders (A.C., J.F.), Massachusetts General Hospital, Boston; VA RR&D Center for Neurorestoration and Neurotechnology (D.J.L., L.R.H.), Rehabilitation R&D Service, Department of VA Medical Center, Providence, RI; Department of Occupational Therapy (K.S.E., N.L.), MGH Institute of Health Professions, Boston, MA; Division of Neurocritical Care (S.B.S.), Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; School of Engineering (L.R.H.), Brown University, Providence, RI; Department of Neurology (S.C.C.), University of California, Los Angeles; and California Rehabilitation Hospital (S.C.C.), Los Angeles
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22
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Naro A, Maggio MG, Latella D, La Rosa G, Sciarrone F, Manuli A, Calabrò RS. Does embodied cognition allow a better management of neurological diseases? A review on the link between cognitive language processing and motor function. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 29:1646-1657. [PMID: 33683162 DOI: 10.1080/23279095.2021.1890595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Embodied cognition (EC) refers to the interplay occurring in thinking among individual's sensorimotor capacities (i.e., the ability of the body to respond to its senses with movement), the body itself, and the environment. The aim of the present narrative review is to provide an overall understanding of whether and how motor training could lead to language recovery, consistently with EC theories (action-perception cycle, mirror neuron systems -MNS-, and embodied semantics). We therefore reviewed the works dealing with EC in terms of the link between language processing, mirror neuron system (MNS), and motor function, evaluating the potential clinical implications for better managing neurological deficits. Connections between body and mind were found, as body states influence cognitive functions, such as perception and reasoning, as well as language processing, especially in neurological disorders. In fact, abnormalities in "embodied language" were found in movement disorders and neurodegenerative diseases, negatively affecting patients' rehabilitation outcomes. Understanding the link between language processing and motor outcomes is fundamental in the rehabilitation field, given that EC can be targeted to improve patients' functional recovery and quality of life.
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Affiliation(s)
- Antonino Naro
- IRCCS Centro Neurolesi Bonino Pulejo, Messina, Italy
| | - Maria Grazia Maggio
- Studio di Psicoterapia Relazionale e Riabilitazione Cognitiva, Messina, Italy
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23
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Hasanbarani F, Batalla MAP, Feldman AG, Levin MF. Mild Stroke Affects Pointing Movements Made in Different Frames of Reference. Neurorehabil Neural Repair 2021; 35:207-219. [PMID: 33514272 PMCID: PMC7934162 DOI: 10.1177/1545968321989348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background Motor performance is a complex process controlled in task-specific spatial frames of reference (FRs). Movements can be made within the framework of the body (egocentric FR) or external space (exocentric FR). People with stroke have impaired reaching, which may be related to deficits in movement production in different FRs. Objective To characterize rapid motor responses to changes in the number of degrees of freedom for movements made in different FRs and their relationship with sensorimotor and cognitive impairment in individuals with mild chronic stroke. Methods Healthy and poststroke individuals moved their hand along the contralateral forearm (egocentric task) and between targets in the peripersonal space (exocentric task) without vision while flexing the trunk. Trunk movement was blocked in randomized trials. Results For the egocentric task, controls produced the same endpoint trajectories in both conditions (free- and blocked-trunk) by preserving similar shoulder-elbow interjoint coordination (IJC). However, endpoint trajectories were dissimilar because of altered IJC in stroke. For the exocentric task, controls produced the same endpoint trajectories when the trunk was free or blocked by rapidly changing the IJC, whereas this was not the case in stroke. Deficits in exocentric movement after stroke were related to cognitive but not sensorimotor impairment. Conclusions Individuals with mild stroke have deficits rapidly responding to changing conditions for complex reaching tasks. This may be related to cognitive deficits and limitations in the regulation of tonic stretch reflex thresholds. Such deficits should be considered in rehabilitation programs encouraging the reintegration of the affected arm into activities of daily living.
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Affiliation(s)
- Fariba Hasanbarani
- School of Physical and Occupational Therapy, McGill University, Montréal, QC, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, CRIR, Montréal, QC, Canada
| | - Marc Aureli Pique Batalla
- School of Physical and Occupational Therapy, McGill University, Montréal, QC, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, CRIR, Montréal, QC, Canada.,Faculty of Health, Medicine and Life Sciences, Maastricht University, Limburg, Netherlands
| | - Anatol G Feldman
- Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, CRIR, Montréal, QC, Canada.,Department of Neuroscience, University of Montréal, QC, Canada
| | - Mindy F Levin
- School of Physical and Occupational Therapy, McGill University, Montréal, QC, Canada.,Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, CRIR, Montréal, QC, Canada
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24
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WU J, ZHANG J, BAI Z, CHEN S, CAI S. Predictive factors of upper limb motor recovery for stroke survivors admitted to a rehabilitation program. Eur J Phys Rehabil Med 2021; 56:706-712. [DOI: 10.23736/s1973-9087.20.06311-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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25
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Burdea G, Kim N, Polistico K, Kadaru A, Roll D, Grampurohit N. Novel integrative rehabilitation system for the upper extremity: Design and usability evaluation. J Rehabil Assist Technol Eng 2021; 8:20556683211012885. [PMID: 34422282 PMCID: PMC8373277 DOI: 10.1177/20556683211012885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 04/08/2021] [Indexed: 01/23/2023] Open
Abstract
PURPOSE Design and test the usability of a novel virtual rehabilitation system for bimanual training of gravity supported arms, pronation/supination, grasp strengthening, and finger extension. METHODS A robotic rehabilitation table, therapeutic game controllers, and adaptive rehabilitation games were developed. The rehabilitation table lifted/lowered and tilted up/down to modulate gravity loading. Arms movement was measured simultaneously, allowing bilateral training. Therapeutic games adapted through a baseline process. Four healthy adults performed four usability evaluation sessions each, and provided feedback using the USE questionnaire and custom questions. Participant's game play performance was sampled and analyzed, and system modifications made between sessions. RESULTS Participants played four sessions of about 50 minutes each, with training difficulty gradually increasing. Participants averaged a total of 6,300 arm repetitions, 2,200 grasp counts, and 2,100 finger extensions when adding counts for each upper extremity. USE questionnaire data averaged 5.1/7 rating, indicative of usefulness, ease of use, ease of learning, and satisfaction with the system. Subjective feedback on the custom evaluation form was 84% favorable. CONCLUSIONS The novel system was well-accepted, induced high repetition counts, and the usability study helped optimize it and achieve satisfaction. Future studies include examining effectiveness of the novel system when training patients acute post-stroke.
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Affiliation(s)
- Grigore Burdea
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
- Department of Electrical and Computer Engineering, Rutgers – The
State University of New Jersey, Piscataway, NJ, USA
| | - Nam Kim
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
| | - Kevin Polistico
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
| | - Ashwin Kadaru
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
| | - Doru Roll
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
| | - Namrata Grampurohit
- Bright Cloud International Corp, Corporate Laboratories, North
Brunswick, NJ, USA
- Department of Occupational Therapy, Jefferson University,
Philadelphia, PA, USA
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26
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VanGilder JL, Hooyman A, Peterson DS, Schaefer SY. Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review. CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS 2020; 8:461-468. [PMID: 33767922 PMCID: PMC7987128 DOI: 10.1007/s40141-020-00283-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2020] [Indexed: 01/08/2023]
Abstract
PURPOSE OF REVIEW a)This review discusses the prevalence of cognitive deficits following stroke and their impact on responsiveness to therapeutic intervention within a motor learning context. RECENT FINDINGS b)Clinical and experimental studies have established that post-stroke cognitive and motor deficits may impede ambulation, augment fall risk, and influence the efficacy of interventions. Recent research suggests the presence of cognitive deficits may play a larger role in motor recovery than previously understood. SUMMARY c)Considering that cognitive impairments affect motor relearning, post-stroke motor rehabilitation therapies may benefit from formal neuropsychological testing. For example, early work suggests that in neurotypical adults, cognitive function may be predictive of responsiveness to motor rehabilitation and cognitive training may improve mobility. This sets the stage for investigations probing these topics in people post-stroke. Moreover, the neural basis for and extent to which these cognitive impairments influence functional outcome remains largely unexplored and require additional investigation.
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Affiliation(s)
| | - Andrew Hooyman
- School of Biological and Health Systems Engineering, Arizona State University
| | - Daniel S. Peterson
- College of Health Solutions, Arizona State University
- U.S. Department of Veterans Affairs, Phoenix, AZ, USA
- Department of Physical Therapy and Athletic Training, University of Utah
| | - Sydney Y. Schaefer
- School of Biological and Health Systems Engineering, Arizona State University
- Department of Physical Therapy and Athletic Training, University of Utah
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27
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Hmaied Assadi S, Feige Gross-Nevo R, Dudkiewicz I, Barel H, Rand D. Improvement of the Upper Extremity at the Subacute Stage Poststroke: Does Hand Dominance Play a Role? Neurorehabil Neural Repair 2020; 34:1030-1037. [PMID: 33016204 DOI: 10.1177/1545968320962502] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The impact of hand dominance on the expected (motor and functional ability and daily use) improvement of the affected upper extremity (UE) in subacute stroke has not yet been investigated. OBJECTIVES To compare between the affected dominant and affected nondominant UE (1) on rehabilitation admission (T1) for motor and sensory abilities, functional ability, and daily use and (2) 6 weeks poststroke onset (T2) and the UE recovery between T1 and T2 regarding percent change, improvement effect size, and percent of participants achieving minimal clinical important difference (MCID). METHODS Multicenter longitudinal study. RESULTS Thirty-eight participants with affected dominant and 51 participants with affected nondominant UE were recruited. On T1 and T2, between-group differences were not seen for all UE variables. Significant improvement in the motor and functional ability, daily use, and perceived recovery between T1 and T2 were seen for the affected dominant (z = -3.01 to -4.13, P < .01) and nondominant UEs (z = -4.59 to -5.32, P < .01). Effect size improvement values were moderate and large in the affected dominant and nondominant UE (respectively). In addition, 14% to 40% of the participants in both UEs achieved MCID. CONCLUSIONS Significant and similar clinical meaningfulness in UE improvement can be expected during subacute rehabilitation; however, improvement magnitude and percent improvement is different for the UE domains of the affected dominant and the affected nondominant UEs. These findings highlight the distinct roles of the dominant and nondominant hands during bimanual daily activities, which can guide clinicians during stroke rehabilitation.
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Affiliation(s)
| | | | - Israel Dudkiewicz
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.,Sheba Medical Center, Tel Hashomer, Israel
| | - Haim Barel
- Bayit Balev Rehabilitation Center, Maccabi Health Care Services Group, Bat-Yam, Israel
| | - Debbie Rand
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
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28
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Seo M, Shin MJ, Park TS, Park JH. Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study. JMIR Mhealth Uhealth 2020; 8:e22208. [PMID: 32909949 PMCID: PMC7516684 DOI: 10.2196/22208] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/10/2020] [Accepted: 08/18/2020] [Indexed: 12/18/2022] Open
Abstract
Background For effective rehabilitation after stroke, it is essential to conduct an objective assessment of the patient’s functional status. Several stroke severity scales have been used for this purpose, but such scales have various limitations. Objective Gait analysis using smart insole technology can be applied continuously, objectively, and quantitatively, thereby overcoming the shortcomings of other assessment tools. Methods To confirm the reliability of gait analysis using smart insole technology, normal healthy controls wore insoles in their shoes during the Timed Up and Go (TUG) test. The gait parameters were compared with the manually collected data. To determine the gait characteristics of patients with hemiplegia due to stroke, they were asked to wear insoles and take the TUG test; gait parameters were calculated and compared with those of control subjects. To investigate whether the gait analysis accurately reflected the patients’ clinical condition, we analyzed the relationships of 22 gait parameters on 4 stroke severity scales. Results The smart insole gait parameter data were similar to those calculated manually. Among the 18 gait parameters tested, 14 were significantly effective at distinguishing patients from healthy controls. The smart insole data revealed that the stance duration on both sides was longer in patients than controls, which has proven difficult to show using other methods. Furthermore, the sound side in patients showed a markedly longer stance duration. Regarding swing duration, that of the sound side was shorter in patients than controls, whereas that of the hemiplegic side was longer. We identified 10 significantly correlated gait parameters on the stroke severity scales. Notably, the difference in stance duration between the sound and hemiplegic sides was significantly correlated with the Fugl-Meyer Assessment (FMA) lower extremity score. Conclusions This study confirmed the feasibility and applicability of the smart insole as a device to assess the gait of patients with hemiplegia due to stroke. In addition, we demonstrated that the FMA score was significantly correlated with the smart insole data. Providing an environment where stroke patients can easily measure walking ability helps to maintain chronic functions as well as acute rehabilitation. Trial Registration UMIN Clinical Trials Registry UMIN000041646, https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047538
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Affiliation(s)
- Minseok Seo
- School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Myung-Jun Shin
- Department of Rehabilitation Medicine, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Tae Sung Park
- Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jong-Hwan Park
- Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
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29
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Guggenberger R, Heringhaus M, Gharabaghi A. Brain-Machine Neurofeedback: Robotics or Electrical Stimulation? Front Bioeng Biotechnol 2020; 8:639. [PMID: 32733860 PMCID: PMC7358603 DOI: 10.3389/fbioe.2020.00639] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 05/26/2020] [Indexed: 12/19/2022] Open
Abstract
Neurotechnology such as brain-machine interfaces (BMI) are currently being investigated as training devices for neurorehabilitation, when active movements are no longer possible. When the hand is paralyzed following a stroke for example, a robotic orthosis, functional electrical stimulation (FES) or their combination may provide movement assistance; i.e., the corresponding sensory and proprioceptive neurofeedback is given contingent to the movement intention or imagination, thereby closing the sensorimotor loop. Controlling these devices may be challenging or even frustrating. Direct comparisons between these two feedback modalities (robotics vs. FES) with regard to the workload they pose for the user are, however, missing. Twenty healthy subjects controlled a BMI by kinesthetic motor imagery of finger extension. Motor imagery-related sensorimotor desynchronization in the EEG beta frequency-band (17–21 Hz) was turned into passive opening of the contralateral hand by a robotic orthosis or FES in a randomized, cross-over block design. Mental demand, physical demand, temporal demand, performance, effort, and frustration level were captured with the NASA Task Load Index (NASA-TLX) questionnaire by comparing these workload components to each other (weights), evaluating them individually (ratings), and estimating the respective combinations (adjusted workload ratings). The findings were compared to the task-related aspects of active hand movement with EMG feedback. Furthermore, both feedback modalities were compared with regard to their BMI performance. Robotic and FES feedback had similar workloads when weighting and rating the different components. For both robotics and FES, mental demand was the most relevant component, and higher than during active movement with EMG feedback. The FES task led to significantly more physical (p = 0.0368) and less temporal demand (p = 0.0403) than the robotic task in the adjusted workload ratings. Notably, the FES task showed a physical demand 2.67 times closer to the EMG task, but a mental demand 6.79 times closer to the robotic task. On average, significantly more onsets were reached during the robotic as compared to the FES task (17.22 onsets, SD = 3.02 vs. 16.46, SD = 2.94 out of 20 opportunities; p = 0.016), even though there were no significant differences between the BMI classification accuracies of the conditions (p = 0.806; CI = −0.027 to −0.034). These findings may inform the design of neurorehabilitation interfaces toward human-centered hardware for a more natural bidirectional interaction and acceptance by the user.
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Affiliation(s)
- Robert Guggenberger
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University of Tübingen, Tübingen, Germany
| | - Monika Heringhaus
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University of Tübingen, Tübingen, Germany
| | - Alireza Gharabaghi
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University of Tübingen, Tübingen, Germany
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30
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Poststroke Fatigue Is Related to Motor and Cognitive Performance: A Secondary Analysis. J Neurol Phys Ther 2020; 43:233-239. [PMID: 31436613 PMCID: PMC8130858 DOI: 10.1097/npt.0000000000000290] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Poststroke fatigue (PSF) is a common debilitating and persistent symptom after stroke. The relationship between PSF and motor and cognitive function remains inconclusive partly due to lack of control for effects of depression and use of insensitive measures. We examined the relationship between PSF and motor and cognitive performance using a comprehensive set of behavioral measures and excluding individuals with depression. METHODS Fifty-three individuals poststroke (16 female) were included (median age: 63 years, median months poststroke: 20 months). Poststroke fatigue was quantified using the Fatigue Severity Scale (FSS) and cognitive performance was measured with the Montreal Cognitive Assessment, simple and choice reaction time (SRT and CRT) tasks. Lower extremity motor performance included Fugl-Meyer Motor Assessment, 5 times sit-to-stand test (5 × STS), Berg Balance Scale, Functional Ambulation Category, and gait speed. Upper extremity motor performance was indexed with Fugl-Meyer, grip strength, and Box and Block test. Spearman correlation and stepwise linear regression analyses were performed to examine relationships. RESULTS Two motor performance measures, Berg Balance Scale and Functional Ambulation Category, were significantly correlated with FSS (ρ = -0.31 and -0.27, respectively) while all cognitive measures were significantly correlated with FSS (ρ = -0.28 for Montreal Cognitive Assessment, 0.29 for SRT, and 0.29 for CRT). Regression analysis showed that Berg Balance Scale was the only significant determinant for FSS (R = 0.11). DISCUSSION AND CONCLUSIONS Functional gait, balance, and cognitive performance are associated with PSF. Fatigue should be considered when planning and delivering interventions for individuals with stroke. Future studies are needed to explore the potential efficacy of balance and cognitive training in PSF management.Video Abstract available for more insights from the authors (see Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A287).
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31
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Lee Y, Curuk E, Aruin AS. Effect of Light Finger Touch, a Cognitive Task, and Vision on Standing Balance in Stroke. J Mot Behav 2020; 53:157-165. [PMID: 32281912 DOI: 10.1080/00222895.2020.1742082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The aim of the exploratory study was to investigate the individual and combined effects of light finger touch, a cognitive task, and vision on postural sway in individuals with stroke. Nine older adults with stroke stood on the force platform with eyes open and eyes closed, with and without a light finger touch contact with the stationary frame, and when counting backward from a randomly chosen three-digit number or without it. The center of pressure (COP) excursion, velocity, range and sway area was calculated. Participants demonstrated significantly larger postural sway when vision was not available (p < 0.05), smaller postural sway when using a finger touch contact (p < 0.05), and increased postural sway while performing the cognitive task (p < 0.05). When finger touch and a cognitive task was performed simultaneously, body sway decreased as compared to standing and performing a cognitive task in eyes open (p < 0.05) and eyes closed conditions. Results indicate that light touch in individuals with stroke mitigates the impact of cognitive load. The findings contribute to the understanding of the role of sensory integration in balance control of individuals with neurological impairments and older adults.
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Affiliation(s)
- Yunju Lee
- Department of Physical Therapy and School of Engineering, Grand Valley State University, Grand Rapids, Michigan
| | - Etem Curuk
- PhD Program in Rehabilitation Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois
| | - Alexander S Aruin
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, Illinois
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32
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Rafiei MH, Kelly KM, Borstad AL, Adeli H, Gauthier LV. Predicting Improved Daily Use of the More Affected Arm Poststroke Following Constraint-Induced Movement Therapy. Phys Ther 2019; 99:1667-1678. [PMID: 31504952 PMCID: PMC7105113 DOI: 10.1093/ptj/pzz121] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 03/02/2019] [Accepted: 04/24/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND Constraint-induced movement therapy (CI therapy) produces, on average, large and clinically meaningful improvements in the daily use of a more affected upper extremity in individuals with hemiparesis. However, individual responses vary widely. OBJECTIVE The study objective was to investigate the extent to which individual characteristics before treatment predict improved use of the more affected arm following CI therapy. DESIGN This study was a retrospective analysis of 47 people who had chronic (> 6 months) mild to moderate upper extremity hemiparesis and were consecutively enrolled in 2 CI therapy randomized controlled trials. METHODS An enhanced probabilistic neural network model predicted whether individuals showed a low, medium, or high response to CI therapy, as measured with the Motor Activity Log, on the basis of the following baseline assessments: Wolf Motor Function Test, Semmes-Weinstein Monofilament Test of touch threshold, Motor Activity Log, and Montreal Cognitive Assessment. Then, a neural dynamic classification algorithm was applied to improve prognostic accuracy using the most accurate combination obtained in the previous step. RESULTS Motor ability and tactile sense predicted improvement in arm use for daily activities following intensive upper extremity rehabilitation with an accuracy of nearly 100%. Complex patterns of interaction among these predictors were observed. LIMITATIONS The fact that this study was a retrospective analysis with a moderate sample size was a limitation. CONCLUSIONS Advanced machine learning/classification algorithms produce more accurate personalized predictions of rehabilitation outcomes than commonly used general linear models.
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Affiliation(s)
- Mohammad H Rafiei
- Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland
| | - Kristina M Kelly
- Department of Neurology, The Ohio State University, Columbus, Ohio
| | - Alexandra L Borstad
- Department of Physical Therapy, The College of St Scholastica, Duluth, Minnesota
| | - Hojjat Adeli
- Department of Biomedical Informatics, Department of Neurology, Department of Neuroscience, The Ohio State University
| | - Lynne V Gauthier
- Department of Physical Therapy and Kinesiology, University of Massachusetts Lowell, 3 Solomon Way, Weed Hall 218D, Lowell, MA 01854 (USA)
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Rogers JM, Duckworth J, Middleton S, Steenbergen B, Wilson PH. Elements virtual rehabilitation improves motor, cognitive, and functional outcomes in adult stroke: evidence from a randomized controlled pilot study. J Neuroeng Rehabil 2019; 16:56. [PMID: 31092252 PMCID: PMC6518680 DOI: 10.1186/s12984-019-0531-y] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 05/03/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Virtual reality technologies show potential as effective rehabilitation tools following neuro-trauma. In particular, the Elements system, involving customized surface computing and tangible interfaces, produces strong treatment effects for upper-limb and cognitive function following traumatic brain injury. The present study evaluated the efficacy of Elements as a virtual rehabilitation approach for stroke survivors. METHODS Twenty-one adults (42-94 years old) with sub-acute stroke were randomized to four weeks of Elements virtual rehabilitation (three weekly 30-40 min sessions) combined with treatment as usual (conventional occupational and physiotherapy) or to treatment as usual alone. Upper-limb skill (Box and Blocks Test), cognition (Montreal Cognitive Assessment and selected CogState subtests), and everyday participation (Neurobehavioral Functioning Inventory) were examined before and after inpatient training, and one-month later. RESULTS Effect sizes for the experimental group (d = 1.05-2.51) were larger compared with controls (d = 0.11-0.86), with Elements training showing statistically greater improvements in motor function of the most affected hand (p = 0.008), and general intellectual status and executive function (p ≤ 0.001). Proportional recovery was two- to three-fold greater than control participants, with superior transfer to everyday motor, cognitive, and communication behaviors. All gains were maintained at follow-up. CONCLUSION A course of Elements virtual rehabilitation using goal-directed and exploratory upper-limb movement tasks facilitates both motor and cognitive recovery after stroke. The magnitude of training effects, maintenance of gains at follow-up, and generalization to daily activities provide compelling preliminary evidence of the power of virtual rehabilitation when applied in a targeted and principled manner. TRIAL REGISTRATION this pilot study was not registered.
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Affiliation(s)
- Jeffrey M Rogers
- The University of Sydney, Faculty of Health Sciences, Sydney, NSW, Australia.
| | | | - Sandy Middleton
- Nursing Research Institute, St Vincent's Health Australia and Australian Catholic University, Sydney, NSW, Australia
| | - Bert Steenbergen
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Peter H Wilson
- Centre for Disability and Development Research (CeDDR) and School of Behavioural and Health Science, Australian Catholic University, Melbourne, VIC, Australia
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Franck JA, Smeets RJEM, Seelen HAM. Changes in actual arm-hand use in stroke patients during and after clinical rehabilitation involving a well-defined arm-hand rehabilitation program: A prospective cohort study. PLoS One 2019; 14:e0214651. [PMID: 30934015 PMCID: PMC6443150 DOI: 10.1371/journal.pone.0214651] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 03/18/2019] [Indexed: 11/18/2022] Open
Abstract
Introduction Improvement of arm-hand function and arm-hand skill performance in stroke patients is reported by many authors. However, therapy content often is poorly described, data on actual arm-hand use are scarce, and, as follow-up time often is very short, little information on patients’ mid- and long-term progression is available. Also, outcome data mainly stem from either a general patient group, unstratified for the severity of arm-hand impairment, or a very specific patient group. Objectives To investigate to what extent the rate of improvement or deterioration of actual arm-hand use differs between stroke patients with either a severely, moderately or mildly affected arm-hand, during and after rehabilitation involving a well-defined rehabilitation program. Methods Design: single–armed prospective cohort study. Outcome measure: affected arm-hand use during daily tasks (accelerometry), expressed as ‘Intensity-of arm-hand-use’ and ‘Duration-of-arm-hand-use’ during waking hours. Measurement dates: at admission, clinical discharge and 3, 6, 9, and 12 months post-discharge. Statistics: Two-way repeated measures ANOVAs. Results Seventy-six patients (63 males); mean age: 57.6 years (sd:10.6); post-stroke time: 29.8 days (sd:20.1) participated. Between baseline and 1-year follow-up, Intensity-of-arm-hand-use on the affected side increased by 51%, 114% and 14% (p < .000) in the mildly, moderately and severely affected patients, respectively. Similarly, Duration-of-arm-hand-use increased by 26%, 220% and 161% (p < .000). Regarding bimanual arm-hand use: Intensity-of-arm-hand-use increased by 44%, 74% and 30% (p < .000), whereas Duration-of-arm-hand-use increased by 10%, 22% and 16% (p < .000). Conclusion Stroke survivors with a severely, moderately or mildly affected arm-hand showed different, though (clinically) important, improvements in actual arm-hand use during the rehabilitation phase. Intensity-of-arm-hand-use and Duration-of-arm-hand-use significantly improved in both unimanual and bimanual tasks/skills. These improvements were maintained until at least 1 year post-discharge.
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Affiliation(s)
- Johan Anton Franck
- Adelante Rehabilitation Centre, dept. of Brain Injury Rehabilitation, Hoensbroek, the Netherlands
- Adelante Centre of Expertise in Rehabilitation and Audiology, Hoensbroek, the Netherlands
- * E-mail:
| | | | - Henk Alexander Maria Seelen
- Adelante Centre of Expertise in Rehabilitation and Audiology, Hoensbroek, the Netherlands
- Maastricht University, Research School CAPHRI, dept. of Rehabilitation Medicine, Maastricht, the Netherlands
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Ploughman M, Eskes GA, Kelly LP, Kirkland MC, Devasahayam AJ, Wallack EM, Abraha B, Hasan SMM, Downer MB, Keeler L, Wilson G, Skene E, Sharma I, Chaves AR, Curtis ME, Bedford E, Robertson GS, Moore CS, McCarthy J, Mackay-Lyons M. Synergistic Benefits of Combined Aerobic and Cognitive Training on Fluid Intelligence and the Role of IGF-1 in Chronic Stroke. Neurorehabil Neural Repair 2019; 33:199-212. [PMID: 30816066 DOI: 10.1177/1545968319832605] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Paired exercise and cognitive training have the potential to enhance cognition by "priming" the brain and upregulating neurotrophins. METHODS Two-site randomized controlled trial. Fifty-two patients >6 months poststroke with concerns about cognitive impairment trained 50 to 70 minutes, 3× week for 10 weeks with 12-week follow-up. Participants were randomized to 1 of 2 physical interventions: Aerobic (>60% VO2peak using <10% body weight-supported treadmill) or Activity (range of movement and functional tasks). Exercise was paired with 1 of 2 cognitive interventions (computerized dual working memory training [COG] or control computer games [Games]). The primary outcome for the 4 groups (Aerobic + COG, Aerobic + Games, Activity + COG, and Activity + Games) was fluid intelligence measured using Raven's Progressive Matrices Test administered at baseline, posttraining, and 3-month follow-up. Serum neurotrophins collected at one site (N = 30) included brain-derived neurotrophic factor (BDNF) at rest (BDNFresting) and after a graded exercise test (BDNFresponse) and insulin-like growth factor-1 at the same timepoints (IGF-1rest, IGF-1response). RESULTS At follow-up, fluid intelligence scores significantly improved compared to baseline in the Aerobic + COG and Activity + COG groups; however, only the Aerobic + COG group was significantly different (+47.8%) from control (Activity + Games -8.5%). Greater IGF-1response at baseline predicted 40% of the variance in cognitive improvement. There was no effect of the interventions on BDNFresting or BDNFresponse; nor was BDNF predictive of the outcome. CONCLUSIONS Aerobic exercise combined with cognitive training improved fluid intelligence by almost 50% in patients >6 months poststroke. Participants with more robust improvements in cognition were able to upregulate higher levels of serum IGF-1 suggesting that this neurotrophin may be involved in behaviorally induced plasticity.
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Affiliation(s)
- Michelle Ploughman
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Gail A Eskes
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | - Liam P Kelly
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Megan C Kirkland
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | | | - Elizabeth M Wallack
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Beraki Abraha
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - S M Mahmudul Hasan
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Matthew B Downer
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Laura Keeler
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | - Graham Wilson
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | - Elaine Skene
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | - Ishika Sharma
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | - Arthur R Chaves
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Marie E Curtis
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Emily Bedford
- 2 Dalhousie University, Halifax, Nova Scotia, Canada NL, Canada
| | | | - Craig S Moore
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
| | - Jason McCarthy
- 1 Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
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Doron N, Rand D. Is Unilateral Spatial Neglect Associated With Motor Recovery of the Affected Upper Extremity Poststroke? A Systematic Review. Neurorehabil Neural Repair 2019; 33:179-187. [PMID: 30784364 DOI: 10.1177/1545968319832606] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Individuals with stroke often present symptoms of multiple domains, such as weakness of the affected upper extremity (UE) and unilateral spatial neglect (USN), which are both associated with poor functional outcome. The aims of this systematic review were to search and review studies that investigated (1) the relationship between USN and affected UE sensorimotor recovery poststroke and (2) the effectiveness of sensorimotor interventions to improve the affected UE in patients with USN. METHODS An electronic search of databases (MEDLINE, EMBASE, CINAHL and Cochrane CENTRAL) was conducted using a combination of the following terms: stroke, USN, and affected UE. Studies meeting the inclusion criteria were rated using a modified version of the Quality Index, and relevant data were extracted. RESULTS A total of 850 studies were identified, and 14 were included; 13 studies assessed correlations between USN and the affected UE capacity/recovery, and 1 study assessed an intervention to improve the UE of individuals with USN. An association between presence of USN and UE capacity/recovery was found in most studies and USN did not interfere with recovery of the affected UE in the single experimental study. CONCLUSIONS USN is associated with poor UE motor capacity and less UE recovery poststroke. Therefore, these impairments should be considered when planning rehabilitation and discharge. Because USN is a well-researched phenomenon, the lack of studies and insufficient evidence related to UE interventions in individuals with USN was unexpected. These interventions should be developed and researched to improve UE and overall functional outcome poststroke.
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Affiliation(s)
- Noa Doron
- 1 Beit Rivka Geriatric Rehabilitation Center, Petach Tiqva, Israel.,2 School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Debbie Rand
- 2 School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Israel
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Carment L, Abdellatif A, Lafuente-Lafuente C, Pariel S, Maier MA, Belmin J, Lindberg PG. Manual Dexterity and Aging: A Pilot Study Disentangling Sensorimotor From Cognitive Decline. Front Neurol 2018; 9:910. [PMID: 30420830 PMCID: PMC6215834 DOI: 10.3389/fneur.2018.00910] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 10/09/2018] [Indexed: 01/04/2023] Open
Abstract
Manual dexterity measures can be useful for early detection of age-related functional decline and for prediction of cognitive decline. However, what aspects of sensorimotor function to assess remains unclear. Manual dexterity markers should be able to separate impairments related to cognitive decline from those related to healthy aging. In this pilot study, we aimed to compare manual dexterity components in patients diagnosed with cognitive decline (mean age: 84 years, N = 11) and in age comparable cognitively intact elderly subjects (mean age: 78 years, N = 11). In order to separate impairments due to healthy aging from deficits due to cognitive decline we also included two groups of healthy young adults (mean age: 26 years, N = 10) and middle-aged adults (mean age: 41 years, N = 8). A comprehensive quantitative evaluation of manual dexterity was performed using three tasks: (i) visuomotor force tracking, (ii) isochronous single finger tapping with auditory cues, and (iii) visuomotor multi-finger tapping. Results showed a highly significant increase in force tracking error with increasing age. Subjects with cognitive decline had increased finger tapping variability and reduced ability to select the correct tapping fingers in the multi-finger tapping task compared to cognitively intact elderly subjects. Cognitively intact elderly subjects and those with cognitive decline had prolonged force release and reduced independence of finger movements compared to young adults and middle-aged adults. The findings suggest two different patterns of impaired manual dexterity: one related to cognitive decline and another related to healthy aging. Manual dexterity tasks requiring updating of performance, in accordance with (temporal or spatial) task rules maintained in short-term memory, are particularly affected in cognitive decline. Conversely, tasks requiring online matching of motor output to sensory cues were affected by age, not by cognitive status. Remarkably, no motor impairments were detected in patients with cognitive decline using clinical scales of hand function. The findings may have consequences for the development of manual dexterity markers of cognitive decline.
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Affiliation(s)
- Loic Carment
- Inserm U894, Université Paris Descartes, Paris, France
| | - Abir Abdellatif
- Plateforme de Recherche Clinique en Gériatrie, Hôpitaux universitaires Pitié-Salpêtrière-Charles Foix, APHP, Ivry-sur-Seine, France
| | - Carmelo Lafuente-Lafuente
- Service de Gériatrie à orientation Cardiologique et Neurologique, Sorbonne Université, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP, Ivry-sur-Seine, France
| | - Sylvie Pariel
- Département de soins ambulatoires, Hôpitaux universitaires Pitié-Salpêtrière-Charles Foix, APHP, Ivry-sur-Seine, France
| | - Marc A Maier
- FR3636 CNRS, Université Paris Descartes, Paris, France.,Department of Life Sciences, Université Paris Diderot, Paris, France
| | - Joël Belmin
- Service de Gériatrie à orientation Cardiologique et Neurologique, Sorbonne Université, Hôpitaux Universitaires Pitié-Salpêtrière-Charles Foix, APHP, Ivry-sur-Seine, France
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Bui KD, Johnson MJ. Designing robot-assisted neurorehabilitation strategies for people with both HIV and stroke. J Neuroeng Rehabil 2018; 15:75. [PMID: 30107849 PMCID: PMC6092818 DOI: 10.1186/s12984-018-0418-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 07/27/2018] [Indexed: 01/01/2023] Open
Abstract
There is increasing evidence that HIV is an independent risk factor for stroke, resulting in an emerging population of people living with both HIV and stroke all over the world. However, neurorehabilitation strategies for the HIV-stroke population are distinctly lacking, which poses an enormous global health challenge. In order to address this gap, a better understanding of the HIV-stroke population is needed, as well as potential approaches to design effective neurorehabilitation strategies for this population. This review goes into the mechanisms, manifestations, and treatment options of neurologic injury in stroke and HIV, the additional challenges posed by the HIV-stroke population, and rehabilitation engineering approaches for both high and low resource areas. The aim of this review is to connect the underlying neurologic properties in both HIV and stroke to rehabilitation engineering. It reviews what is currently known about the association between HIV and stroke and gaps in current treatment strategies for the HIV-stroke population. We highlight relevant current areas of research that can help advance neurorehabilitation strategies specifically for the HIV-stroke population. We then explore how robot-assisted rehabilitation combined with community-based rehabilitation could be used as a potential approach to meet the challenges posed by the HIV-stroke population. We include some of our own work exploring a community-based robotic rehabilitation exercise system. The most relevant strategies will be ones that not only take into account the individual status of the patient but also the cultural and economic considerations of their respective environment.
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Affiliation(s)
- Kevin D. Bui
- Department of Bioengineering, University of Pennsylvania, Philadelphia, USA
- Rehabilitation Robotics Lab (a GRASP Lab), University of Pennsylvania, 1800 Lombard Street, Philadelphia, 19146 USA
| | - Michelle J. Johnson
- Department of Bioengineering, University of Pennsylvania, Philadelphia, USA
- Rehabilitation Robotics Lab (a GRASP Lab), University of Pennsylvania, 1800 Lombard Street, Philadelphia, 19146 USA
- Department of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
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Faria AL, Cameirão MS, Couras JF, Aguiar JRO, Costa GM, Bermúdez i Badia S. Combined Cognitive-Motor Rehabilitation in Virtual Reality Improves Motor Outcomes in Chronic Stroke - A Pilot Study. Front Psychol 2018; 9:854. [PMID: 29899719 PMCID: PMC5988851 DOI: 10.3389/fpsyg.2018.00854] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Accepted: 05/11/2018] [Indexed: 11/13/2022] Open
Abstract
Stroke is one of the most common causes of acquired disability, leaving numerous adults with cognitive and motor impairments, and affecting patients' capability to live independently. Virtual Reality (VR) based methods for stroke rehabilitation have mainly focused on motor rehabilitation but there is increasing interest toward the integration of cognitive training for providing more effective solutions. Here we investigate the feasibility for stroke recovery of a virtual cognitive-motor task, the Reh@Task, which combines adapted arm reaching, and attention and memory training. 24 participants in the chronic stage of stroke, with cognitive and motor deficits, were allocated to one of two groups (VR, Control). Both groups were enrolled in conventional occupational therapy, which mostly involves motor training. Additionally, the VR group underwent training with the Reh@Task and the control group performed time-matched conventional occupational therapy. Motor and cognitive competences were assessed at baseline, end of treatment (1 month) and at a 1-month follow-up through the Montreal Cognitive Assessment, Single Letter Cancelation, Digit Cancelation, Bells Test, Fugl-Meyer Assessment Test, Chedoke Arm and Hand Activity Inventory, Modified Ashworth Scale, and Barthel Index. Our results show that both groups improved in motor function over time, but the Reh@Task group displayed significantly higher between-group outcomes in the arm subpart of the Fugl-Meyer Assessment Test. Improvements in cognitive function were significant and similar in both groups. Overall, these results are supportive of the viability of VR tools that combine motor and cognitive training, such as the Reh@Task. Trial Registration: This trial was not registered because it is a small clinical study that addresses the feasibility of a prototype device.
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Affiliation(s)
- Ana L. Faria
- Faculdade de Psicologia e de Ciências da Educação, Universidade de Coimbra, Coimbra, Portugal
- Madeira Interactive Technologies Institute, Funchal, Portugal
| | - Mónica S. Cameirão
- Madeira Interactive Technologies Institute, Funchal, Portugal
- Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, Funchal, Portugal
| | | | | | | | - Sergi Bermúdez i Badia
- Madeira Interactive Technologies Institute, Funchal, Portugal
- Faculdade de Ciências Exatas e da Engenharia, Universidade da Madeira, Funchal, Portugal
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40
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Nusrat L, Livingston-Thomas JM, Raguthevan V, Adams K, Vonderwalde I, Corbett D, Morshead CM. Cyclosporin A-Mediated Activation of Endogenous Neural Precursor Cells Promotes Cognitive Recovery in a Mouse Model of Stroke. Front Aging Neurosci 2018; 10:93. [PMID: 29740308 PMCID: PMC5928138 DOI: 10.3389/fnagi.2018.00093] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 03/19/2018] [Indexed: 11/17/2022] Open
Abstract
Cognitive dysfunction following stroke significantly impacts quality of life and functional independance; yet, despite the prevalence and negative impact of cognitive deficits, post-stroke interventions almost exclusively target motor impairments. As a result, current treatment options are limited in their ability to promote post-stroke cognitive recovery. Cyclosporin A (CsA) has been previously shown to improve post-stroke functional recovery of sensorimotor deficits. Interestingly, CsA is a commonly used immunosuppressant and also acts directly on endogenous neural precursor cells (NPCs) in the neurogenic regions of the brain (the periventricular region and the dentate gyrus). The immunosuppressive and NPC activation effects are mediated by calcineurin-dependent and calcineurin-independent pathways, respectively. To develop a cognitive stroke model, focal bilateral lesions were induced in the medial prefrontal cortex (mPFC) of adult mice using endothelin-1. First, we characterized this stroke model in the acute and chronic phase, using problem-solving and memory-based cognitive tests. mPFC stroke resulted in early and persistent deficits in short-term memory, problem-solving and behavioral flexibility, without affecting anxiety. Second, we investigated the effects of acute and chronic CsA treatment on NPC activation, neuroprotection, and tissue damage. Acute CsA administration post-stroke increased the size of the NPC pool. There was no effect on neurodegeneration or lesion volume. Lastly, we looked at the effects of chronic CsA treatment on cognitive recovery. Long-term CsA administration promoted NPC migration toward the lesion site and rescued cognitive deficits to control levels. This study demonstrates that CsA treatment activates the NPC population, promotes migration of NPCs to the site of injury, and leads to improved cognitive recovery following long-term treatment.
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Affiliation(s)
- Labeeba Nusrat
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | | | | | - Kelsey Adams
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Ilan Vonderwalde
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Dale Corbett
- Department of Cellular & Molecular Medicine, University of Ottawa, Ottawa, ON, Canada.,Canadian Partnership for Stroke Recovery, Ottawa, ON, Canada
| | - Cindi M Morshead
- Department of Surgery, University of Toronto, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada
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Kantak S, Jax S, Wittenberg G. Bimanual coordination: A missing piece of arm rehabilitation after stroke. Restor Neurol Neurosci 2018; 35:347-364. [PMID: 28697575 DOI: 10.3233/rnn-170737] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Inability to use the arm in daily actions significantly lowers quality of life after stroke. Most contemporary post-stroke arm rehabilitation strategies that aspire to re-engage the weaker arm in functional activities have been greatly limited in their effectiveness. Most actions of daily life engage the two arms in a highly coordinated manner. In contrast, most rehabilitation approaches predominantly focus on restitution of the impairments and unilateral practice of the weaker hand alone. We present a perspective that this misalignment between real world requirements and intervention strategies may limit the transfer of unimanual capability to spontaneous arm use and functional recovery. We propose that if improving spontaneous engagement and use of the weaker arm in real life is the goal, arm rehabilitation research and treatment need to address the coordinated interaction between arms in targeted theory-guided interventions. Current narrow focus on unimanual deficits alone, difficulty in quantifying bimanual coordination in real-world actions and limited theory-guided focus on control and remediation of different coordination modes are some of the biggest obstacles to successful implementation of effective interventions to improve bimanual coordination in the real world. We present a theory-guided taxonomy of bimanual actions that will facilitate quantification of coordination for different real-world tasks and provide treatment targets for addressing coordination deficits. We then present evidence in the literature that points to bimanual coordination deficits in stroke survivors and demonstrate how current rehabilitation approaches are limited in their impact on bimanual coordination. Importantly, we suggest theory-based areas of future investigation that may assist quantification, identification of neural mechanisms and scientifically-based training/remediation approaches for bimanual coordination deficits post-stroke. Advancing the science and practice of arm rehabilitation to incorporate bimanual coordination will lead to a more complete functional recovery of the weaker arm, thus improving the effectiveness of rehabilitation interventions and augmenting quality of life after stroke.
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Affiliation(s)
- Shailesh Kantak
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA.,Department of Physical Therapy, Arcadia University, Elkins Park, PA, USA
| | - Steven Jax
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA
| | - George Wittenberg
- Department of Neurology, Baltimore VAMC, University of Maryland, Glenside, PA, USA
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42
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Aminov A, Rogers JM, Middleton S, Caeyenberghs K, Wilson PH. What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes. J Neuroeng Rehabil 2018; 15:29. [PMID: 29587853 PMCID: PMC5870176 DOI: 10.1186/s12984-018-0370-2] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2017] [Accepted: 03/11/2018] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Virtual-reality based rehabilitation (VR) shows potential as an engaging and effective way to improve upper-limb function and cognitive abilities following a stroke. However, an updated synthesis of the literature is needed to capture growth in recent research and address gaps in our understanding of factors that may optimize training parameters and treatment effects. METHODS Published randomized controlled trials comparing VR to conventional therapy were retrieved from seven electronic databases. Treatment effects (Hedge's g) were estimated using a random effects model, with motor and functional outcomes between different protocols compared at the Body Structure/Function, Activity, and Participation levels of the International Classification of Functioning. RESULTS Thirty-three studies were identified, including 971 participants (492 VR participants). VR produced small to medium overall effects (g = 0.46; 95% CI: 0.33-0.59, p < 0.01), above and beyond conventional therapies. Small to medium effects were observed on Body Structure/Function (g = 0.41; 95% CI: 0.28-0.55; p < 0.01) and Activity outcomes (g = 0.47; 95% CI: 0.34-0.60, p < 0.01), while Participation outcomes failed to reach significance (g = 0.38; 95% CI: -0.29-1.04, p = 0.27). Superior benefits for Body Structure/Function (g = 0.56) and Activity outcomes (g = 0.62) were observed when examining outcomes only from purpose-designed VR systems. Preliminary results (k = 4) suggested small to medium effects for cognitive outcomes (g = 0.41; 95% CI: 0.28-0.55; p < 0.01). Moderator analysis found no advantage for higher doses of VR, massed practice training schedules, or greater time since injury. CONCLUSION VR can effect significant gains on Body Structure/Function and Activity level outcomes, including improvements in cognitive function, for individuals who have sustained a stroke. The evidence supports the use of VR as an adjunct for stroke rehabilitation, with effectiveness evident for a variety of platforms, training parameters, and stages of recovery.
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Affiliation(s)
- Anna Aminov
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Sydney, NSW, Australia
| | - Jeffrey M Rogers
- South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Sandy Middleton
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Sydney, NSW, Australia
| | - Karen Caeyenberghs
- School of Psychology, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Disability and Development Research (CeDDR), Australian Catholic University, Melbourne, VIC, Australia
| | - Peter H Wilson
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Sydney, NSW, Australia.
- School of Psychology, Australian Catholic University, Melbourne, VIC, Australia.
- Centre for Disability and Development Research (CeDDR), Australian Catholic University, Melbourne, VIC, Australia.
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43
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Bui KD, Rai R, Johnson MJ. Using upper limb kinematics to assess cognitive deficits in people living with both HIV and stroke. IEEE Int Conf Rehabil Robot 2018; 2017:907-912. [PMID: 28813936 DOI: 10.1109/icorr.2017.8009364] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In this study, we aim to explore ways to objectively assess cognitive deficits in the stroke and HIV/stroke populations, where cognitive and motor impairments can be hard to separate. Using an upper limb rehabilitation robot called the Haptic TheraDrive, we collect performance error scores and motor learning data on the impaired and unimpaired limb during a trajectory tracking task. We compare these data to clinical cognitive scores. The preliminary results suggest a possible relationship between unimpaired upper limb performance error and visuospatial/executive function cognitive domains, but more work needs to be done to further investigate this. The potential of using robot-assisted technologies to measure unimpaired limb kinematics as a tool to assess cognitive deficits would be useful to inform more effective rehabilitation strategies for HIV, stroke, and HIV/stroke populations.
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Adapting the concepts of brain and cognitive reserve to post-stroke cognitive deficits: Implications for understanding neglect. Cortex 2017; 97:327-338. [DOI: 10.1016/j.cortex.2016.12.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 08/03/2016] [Accepted: 12/04/2016] [Indexed: 01/17/2023]
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Cameirão MS, Faria AL, Paulino T, Alves J, Bermúdez I Badia S. The impact of positive, negative and neutral stimuli in a virtual reality cognitive-motor rehabilitation task: a pilot study with stroke patients. J Neuroeng Rehabil 2016; 13:70. [PMID: 27503215 PMCID: PMC4977712 DOI: 10.1186/s12984-016-0175-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 07/12/2016] [Indexed: 01/29/2023] Open
Abstract
Background Virtual Reality (VR) based methods for stroke rehabilitation have mainly focused on motor rehabilitation, but there is increasing interest in integrating motor and cognitive training to increase similarity to real-world settings. Unfortunately, more research is needed for the definition of which type of content should be used in the design of these tools. One possibility is the use of emotional stimuli, which are known to enhance attentional processes. According to the Socioemotional Selectivity Theory, as people age, the emotional salience arises for positive and neutral, but not for negative stimuli. Methods For this study we developed a cognitive-motor VR task involving attention and short-term memory, and we investigated the impact of using emotional images of varying valence. The task consisted of finding a target image, shown for only two seconds, among fourteen neutral distractors, and selecting it through arm movements. After performing the VR task, a recall task took place and the patients had to identify the target images among a valence-matched number of distractors. Ten stroke patients participated in a within-subjects experiment with three conditions based on the valence of the images: positive, negative and neutral. Eye movements were recorded during VR task performance with an eye tracking system. Results Our results show decreased attention for negative stimuli in the VR task performance when compared to neutral stimuli. The recall task shows significantly more wrongly identified images (false memories) for negative stimuli than for neutral. Regression and correlation analyses with the Montreal Cognitive Assessment and the Geriatric Depression Scale revealed differential effects of cognitive function and depressive symptomatology in the encoding and recall of positive, negative and neutral images. Further, eye movement data shows reduced search patterns for wrongly selected stimuli containing emotional content. Conclusions The results of this study suggest that it is feasible to use emotional content in a VR based cognitive-motor task for attention and memory training after stroke. Stroke survivors showed less attention towards negative information, exhibiting reduced visual search patterns and more false memories. We have also shown that the use of emotional stimuli in a VR task can provide additional information regarding patient’s mood and cognitive status.
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Affiliation(s)
- Mónica S Cameirão
- Faculdade das Ciências Exatas e da Engenharia, Universidade da Madeira, Campus Universitário da Penteada, 9020-105, Funchal, Portugal. .,Madeira Interactive Technologies Institute, Polo Científico e Tecnológico da Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal.
| | - Ana Lúcia Faria
- Madeira Interactive Technologies Institute, Polo Científico e Tecnológico da Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal.,Faculdade de Psicologia e de Ciências da Educação da Universidade de Coimbra, Coimbra, Portugal
| | - Teresa Paulino
- Madeira Interactive Technologies Institute, Polo Científico e Tecnológico da Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal
| | - Júlio Alves
- Faculdade das Ciências Exatas e da Engenharia, Universidade da Madeira, Campus Universitário da Penteada, 9020-105, Funchal, Portugal.,Madeira Interactive Technologies Institute, Polo Científico e Tecnológico da Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal
| | - Sergi Bermúdez I Badia
- Faculdade das Ciências Exatas e da Engenharia, Universidade da Madeira, Campus Universitário da Penteada, 9020-105, Funchal, Portugal.,Madeira Interactive Technologies Institute, Polo Científico e Tecnológico da Madeira, Caminho da Penteada, 9020-105, Funchal, Portugal
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