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Zhao J, Guo J, Chen Y, Li W, Zhou P, Zhu G, Han P, Xu D. Improving rehabilitation motivation and motor learning ability of stroke patients using different reward strategies: study protocol for a single-center, randomized controlled trial. Front Neurol 2024; 15:1418247. [PMID: 38882687 PMCID: PMC11178101 DOI: 10.3389/fneur.2024.1418247] [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: 04/16/2024] [Accepted: 05/20/2024] [Indexed: 06/18/2024] Open
Abstract
Background Stroke survivors often face challenges in motor learning and motivation during rehabilitation, which can impede their recovery progress. Traditional rehabilitation methods vary in effectiveness, prompting the exploration of novel approaches such as reward strategies. Previous research indicates that rewards can enhance rehabilitation motivation and facilitate motor learning. However, most reward paradigms have utilized fixed reward amounts, which also have limitations. Exploring alternative, more effective reward strategies, such as probabilistic rewards, is warranted to optimize stroke patient rehabilitation. Methods A total of 81 stroke patients will be recruited and randomly assigned to control, fixed reward, or probabilistic reward groups at a ratio of 1:1:1 using a randomized number table method. Participants will undergo 10 days of daily hand motor function rehabilitation training, with sessions lasting 20 min each. The training will involve pegboard tests and box and block tests. Control group participants will receive standard training, while fixed reward group members will receive monetary incentives for completing tests, and probabilistic reward group members will have the chance to win monetary rewards through a lottery box. Rehabilitation motivation and motor performance and functional near-infrared spectroscopy brain imaging will be conducted at designated time points. The primary outcome measure is the stroke rehabilitation motivation scale, and the second outcome measures include motor performance, simple test for evaluating hand function, motivation and pleasure scale self-report, and Pittsburgh rehabilitation participation scale. Discussion Reward-based training enhance rehabilitation participation and adherence, it also improve motor learning speed and memory retention of stroke patients. The fixed reward applied in the past studies could diminish the sensitivity of stroke patients to rewards, while probabilistic reward may provide unpredictable or variable incentives or reinforcements for motor rehabilitation. This study will compare the efficacy of different reward strategies in enhancing motor learning ability and rehabilitation motivation among stroke patients. By conducting a randomized controlled trial, the study seeks to provide valuable insights into optimizing stroke rehabilitation protocols and improving patient outcomes.Clinical Trial Registration:https://www.chictr.org.cn/, ChiCTR2400082419.
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Affiliation(s)
- Jingwang Zhao
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiangling Guo
- Graduate School, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yeping Chen
- The Second Rehabilitation Hospital of Shanghai, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenxi Li
- Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ping Zhou
- Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guangyue Zhu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Peipei Han
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Dongsheng Xu
- The Second Rehabilitation Hospital of Shanghai, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
- Institute of Rehabilitation Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Vassiliadis P, Beanato E, Popa T, Windel F, Morishita T, Neufeld E, Duque J, Derosiere G, Wessel MJ, Hummel FC. Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills. Nat Hum Behav 2024:10.1038/s41562-024-01901-z. [PMID: 38811696 DOI: 10.1038/s41562-024-01901-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/23/2024] [Indexed: 05/31/2024]
Abstract
Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, we exploited a recently developed non-invasive deep brain stimulation technique called transcranial temporal interference stimulation (tTIS) during reinforcement motor learning with concurrent neuroimaging, in a randomized, sham-controlled, double-blind study. Striatal tTIS applied at 80 Hz, but not at 20 Hz, abolished the benefits of reinforcement on motor learning. This effect was related to a selective modulation of neural activity within the striatum. Moreover, 80 Hz, but not 20 Hz, tTIS increased the neuromodulatory influence of the striatum on frontal areas involved in reinforcement motor learning. These results show that tTIS can non-invasively and selectively modulate a striatal mechanism involved in reinforcement learning, expanding our tools for the study of causal relationships between deep brain structures and human behaviour.
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Affiliation(s)
- Pierre Vassiliadis
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
| | - Elena Beanato
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Traian Popa
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Fabienne Windel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Takuya Morishita
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
| | - Esra Neufeld
- Foundation for Research on Information Technologies in Society, Zurich, Switzerland
| | - Julie Duque
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
| | - Gerard Derosiere
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
- Lyon Neuroscience Research Center, Impact Team, Inserm U1028, CNRS UMR5292, Lyon 1 University, Bron, France
| | - Maximilian J Wessel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Friedhelm C Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute, EPFL Valais, Clinique Romande de Réadaptation, Sion, Switzerland.
- Clinical Neuroscience, University of Geneva Medical School, Geneva, Switzerland.
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Raghavan P. Top-Down and Bottom-Up Mechanisms of Motor Recovery Poststroke. Phys Med Rehabil Clin N Am 2024; 35:235-257. [PMID: 38514216 DOI: 10.1016/j.pmr.2023.07.006] [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: 03/23/2024]
Abstract
Stroke remains a leading cause of disability. Motor recovery requires the interaction of top-down and bottom-up mechanisms, which reinforce each other. Injury to the brain initiates a biphasic neuroimmune process, which opens a window for spontaneous recovery during which the brain is particularly sensitive to activity. Physical activity during this sensitive period can lead to rapid recovery by potentiating anti-inflammatory and neuroplastic processes. On the other hand, lack of physical activity can lead to early closure of the sensitive period and downstream changes in muscles, such as sarcopenia, muscle stiffness, and reduced cardiovascular capacity, and blood flow that impede recovery.
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Affiliation(s)
- Preeti Raghavan
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA; Department of Neurology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA.
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4
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Winterbottom L, Nilsen DM. Motor Learning Following Stroke: Mechanisms of Learning and Techniques to Augment Neuroplasticity. Phys Med Rehabil Clin N Am 2024; 35:277-291. [PMID: 38514218 DOI: 10.1016/j.pmr.2023.06.004] [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: 03/23/2024]
Abstract
Sensorimotor impairments are common after stroke requiring stroke survivors to relearn lost motor skills or acquire new ones in order to engage in daily activities. Thus, motor skill learning is a cornerstone of stroke rehabilitation. This article provides an overview of motor control and learning theories that inform stroke rehabilitation interventions, discusses principles of neuroplasticity, and provides a summary of practice conditions and techniques that can be used to augment motor learning and neuroplasticity in stroke rehabilitation.
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Affiliation(s)
- Lauren Winterbottom
- Department of Rehabilitation & Regenerative Medicine, Columbia University, 180 Fort Washington Avenue, HP1, Suite 199, New York, NY 10032, USA; Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA.
| | - Dawn M Nilsen
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA; Department of Rehabilitation & Regenerative Medicine, Columbia University, 617 West 168th Street, 3rd Floor, Room 305, New York, NY 10032, USA
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Langerak AJ, Regterschot GRH, Selles RW, Meskers CGM, Evers M, Ribbers GM, van Beijnum BJF, Bussmann JBJ. Requirements for home-based upper extremity rehabilitation using wearable motion sensors for stroke patients: a user-centred approach. Disabil Rehabil Assist Technol 2024; 19:1392-1404. [PMID: 36905631 PMCID: PMC11073044 DOI: 10.1080/17483107.2023.2183993] [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: 07/19/2022] [Accepted: 02/17/2023] [Indexed: 03/12/2023]
Abstract
PURPOSE Telerehabilitation systems have the potential to enable therapists to monitor and assist stroke patients in achieving high-intensity upper extremity exercise in the home environment. We adopted an iterative user-centred approach, including multiple data sources and meetings with end-users and stakeholders to define the user requirements for home-based upper extremity rehabilitation using wearable motion sensors for subacute stroke patients. METHODS We performed a requirement analysis consisting of the following steps: 1) context & groundwork; 2) eliciting requirements; 3) modelling & analysis; 4) agreeing requirements. During these steps, a pragmatic literature search, interviews and focus groups with stroke patients, physiotherapists and occupational therapists were performed. The results were systematically analysed and prioritised into "must-haves", "should-haves", and "could-haves". RESULTS We formulated 33 functional requirements: eighteen must-have requirements related to blended care (2), exercise principles (7), exercise delivery (3), exercise evaluation (4), and usability (2); ten should-haves; and five could-haves. Six movement components, including twelve exercises and five combination exercises, are required. For each exercise, appropriate exercise measures were defined. CONCLUSION This study provides an overview of functional requirements, required exercises, and required exercise measures for home-based upper extremity rehabilitation using wearable motion sensors for stroke patients, which can be used to develop home-based upper extremity rehabilitation interventions. Moreover, the comprehensive and systematic requirement analysis used in this study can be applied by other researchers and developers when extracting requirements for designing a system or intervention in a medical context.
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Affiliation(s)
- A. J. Langerak
- Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - G. R. H. Regterschot
- Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands
| | - R. W. Selles
- Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Plastic and Reconstructive Surgery, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - C. G. M. Meskers
- Department of Rehabilitation Medicine, Amsterdam Neuroscience and Amsterdam Movement Sciences, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - M. Evers
- Rijndam Rehabilitation, Rotterdam, The Netherlands
| | - G. M. Ribbers
- Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - B. J. F. van Beijnum
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands
| | - J. B. J. Bussmann
- Department of Rehabilitation Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, The Netherlands
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Gooch HJ, Jarvis KA, Stockley RC. Behavior Change Approaches in Digital Technology-Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. J Med Internet Res 2024; 26:e48725. [PMID: 38656777 PMCID: PMC11079774 DOI: 10.2196/48725] [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: 05/15/2023] [Revised: 11/14/2023] [Accepted: 12/26/2023] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions. OBJECTIVE This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT. METHODS Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1). RESULTS From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality. CONCLUSIONS Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.
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Affiliation(s)
- Helen J Gooch
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Kathryn A Jarvis
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
| | - Rachel C Stockley
- Stroke Research Team, School of Nursing and Midwifery, University of Central Lancashire, Preston, United Kingdom
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Asmussen L, Frey BM, Frontzkowski LK, Wróbel PP, Grigutsch LS, Choe CU, Bönstrup M, Cheng B, Thomalla G, Quandt F, Gerloff C, Schulz R. Dopaminergic mesolimbic structural reserve is positively linked to better outcome after severe stroke. Brain Commun 2024; 6:fcae122. [PMID: 38712322 PMCID: PMC11073754 DOI: 10.1093/braincomms/fcae122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 02/26/2024] [Accepted: 04/08/2024] [Indexed: 05/08/2024] Open
Abstract
The concept of brain reserve capacity has emerged in stroke recovery research in recent years. Imaging-based biomarkers of brain health have helped to better understand outcome variability in clinical cohorts. Still, outcome inferences are far from being satisfactory, particularly in patients with severe initial deficits. Neurorehabilitation after stroke is a complex process, comprising adaption and learning processes, which, on their part, are critically influenced by motivational and reward-related cognitive processes. Amongst others, dopaminergic neurotransmission is a key contributor to these mechanisms. The question arises, whether the amount of structural reserve capacity in the dopaminergic system might inform about outcome variability after severe stroke. For this purpose, this study analysed imaging and clinical data of 42 severely impaired acute stroke patients. Brain volumetry was performed within the first 2 weeks after the event using the Computational Anatomy Toolbox CAT12, grey matter volume estimates were collected for seven key areas of the human dopaminergic system along the mesocortical, mesolimbic and nigrostriatal pathways. Ordinal logistic regression models related regional volumes to the functional outcome, operationalized by the modified Rankin Scale, obtained 3-6 months after stroke. Models were adjusted for age, lesion volume and initial impairment. The main finding was that larger volumes of the amygdala and the nucleus accumbens at baseline were positively associated with a more favourable outcome. These data suggest a link between the structural state of mesolimbic key areas contributing to motor learning, motivational and reward-related brain networks and potentially the success of neurorehabilitation. They might also provide novel evidence to reconsider dopaminergic interventions particularly in severely impaired stroke patients to enhance recovery after stroke.
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Affiliation(s)
- Liv Asmussen
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Benedikt M Frey
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Lukas K Frontzkowski
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Paweł P Wróbel
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - L Sophie Grigutsch
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Chi-un Choe
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Marlene Bönstrup
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
- University Medical Center Leipzig, Department of Neurology, 04103 Leipzig, Germany
| | - Bastian Cheng
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Götz Thomalla
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Fanny Quandt
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Christian Gerloff
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
| | - Robert Schulz
- University Medical Center Hamburg-Eppendorf, Department of Neurology, 20246 Hamburg, Germany
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Wagner F, Rogenz J, Opitz L, Maas J, Schmidt A, Brodoehl S, Ullsperger M, Klingner CM. Reward network dysfunction is associated with cognitive impairment after stroke. Neuroimage Clin 2023; 39:103446. [PMID: 37307650 PMCID: PMC10276182 DOI: 10.1016/j.nicl.2023.103446] [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: 03/15/2023] [Revised: 05/23/2023] [Accepted: 05/27/2023] [Indexed: 06/14/2023]
Abstract
Stroke survivors not only suffer from severe motor, speech and neurocognitive deficits, but in many cases also from a "lack of pleasure" and a reduced motivational level. Especially apathy and anhedonic symptoms can be linked to a dysfunction of the reward system. Rewards are considered as important co-factor for learning, so the question arises as to why and how this affects the rehabilitation of stroke patients. We investigated reward behaviour, learning ability and brain network connectivity in acute (3-7d) mild to moderate stroke patients (n = 28) and age-matched healthy controls (n = 26). Reward system activity was assessed using the Monetary Incentive Delay task (MID) during magnetoencephalography (MEG). Coherence analyses were used to demonstrate reward effects on brain functional network connectivity. The MID-task showed that stroke survivors had lower reward sensitivity and required greater monetary incentives to improve performance and showed deficits in learning improvement. MEG-analyses showed a reduced network connectivity in frontal and temporoparietal regions. All three effects (reduced reward sensitivity, reduced learning ability and altered cerebral connectivity) were found to be closely related and differed strongly from the healthy group. Our results reinforce the notion that acute stroke induces reward network dysfunction, leading to functional impairment of behavioural systems. These findings are representative of a general pattern in mild strokes and are independent of the specific lesion localisation. For stroke rehabilitation, these results represent an important point to identify the reduced learning capacity after stroke and to implement individualised recovery exercises accordingly.
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Affiliation(s)
- Franziska Wagner
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany.
| | - Jenny Rogenz
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
| | - Laura Opitz
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
| | - Johanna Maas
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
| | - Alexander Schmidt
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
| | - Stefan Brodoehl
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
| | - Markus Ullsperger
- Faculty of Natural Sciences, Institute of Psychology, 39106 Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Otto-von-Guericke University Magdeburg, Germany
| | - Carsten M Klingner
- Department of Neurology, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany; Biomagnetic Centre, 07747 Jena University Hospital, Friedrich Schiller University Jena, Germany
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Koob JL, Viswanathan S, Mustin M, Mallick I, Krick S, Fink GR, Grefkes C, Rehme AK. To engage or not engage: Early incentive motivation prevents symptoms of chronic post-stroke depression - A longitudinal study. Neuroimage Clin 2023; 37:103360. [PMID: 36889100 PMCID: PMC10009723 DOI: 10.1016/j.nicl.2023.103360] [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: 01/05/2023] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/04/2023]
Abstract
BACKGROUND Although post-stroke depression (PSD) is known to disrupt motor rehabilitation after stroke, PSD is often undertreated and its relationship with motor impairment remains poorly understood. METHODS In a longitudinal study design we investigated, which factors at the early post-acute stage may increase the risk for PSD symptoms. We were especially interested in whether interindividual differences in the motivational drive to engage in physically demanding tasks indicate PSD development in patients suffering from motor impairments. Accordingly, we used a monetary incentive grip force task where participants were asked to hold their grip force for high and low rewards at stake to maximize their monetary outcome. Individual grip force was normalized according to the maximal force prior to the experiment. Experimental data, depression, and motor impairment were assessed from 20 stroke patients (12 male; 7.7 ± 6.78 days post-stroke) with mild-to-moderate hand motor impairment and 24 age-matched healthy participants (12 male). RESULTS Both groups showed incentive motivation as indicated by stronger grip force for high versus low reward trials and the overall monetary outcome in the task. In stroke patients, severely impaired patients showed stronger incentive motivation, whereas early PSD symptoms were associated with reduced incentive motivation in the task. Larger lesions in corticostriatal tracts correlated with reduced incentive motivation. Importantly, chronic motivational deficits were preceded by initially reduced incentive motivation and larger corticostriatal lesions in the early stage post-stroke. CONCLUSIONS More severe motor impairment motivates reward-dependent motor engagement, whereas PSD and corticostriatal lesions potentially disturb incentive motivational behavior, thereby increasing the risk of chronic motivational PSD symptoms. Acute interventions should address motivational aspects of behavior to improve motor rehabilitation post-stroke.
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Affiliation(s)
- Janusz L Koob
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany.
| | - Shivakumar Viswanathan
- Institute of Neuroscience and Medicine, Cognitive Neuroscience (INM-3), Forschungszentrum Jülich, 52425 Juelich, Germany
| | - Maike Mustin
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany
| | - Imon Mallick
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany
| | - Sebastian Krick
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany; Institute of Neuroscience and Medicine, Cognitive Neuroscience (INM-3), Forschungszentrum Jülich, 52425 Juelich, Germany
| | - Christian Grefkes
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany; Institute of Neuroscience and Medicine, Cognitive Neuroscience (INM-3), Forschungszentrum Jülich, 52425 Juelich, Germany; Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, 60590 Frankfurt am Main, Germany.
| | - Anne K Rehme
- Department of Neurology, University Hospital Cologne, 50937 Cologne, Germany
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10
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Vitrac C, Nallet-Khosrofian L, Iijima M, Rioult-Pedotti MS, Luft A. Endogenous dopamine transmission is crucial for motor skill recovery after stroke. IBRO Neurosci Rep 2022; 13:15-21. [PMID: 35707766 PMCID: PMC9189999 DOI: 10.1016/j.ibneur.2022.05.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/31/2022] [Indexed: 11/30/2022] Open
Affiliation(s)
- Clément Vitrac
- Vascular Neurology and Rehabilitation, Department of Neurology, University of Zürich, Switzerland
- Correspondence to: Universitätspital Zürich, Vascular Neurology and Rehabilitation, Rämistrasse 100, 8091 Zürich, Switzerland.
| | | | - Maiko Iijima
- Vascular Neurology and Rehabilitation, Department of Neurology, University of Zürich, Switzerland
| | - Mengia-Seraina Rioult-Pedotti
- Vascular Neurology and Rehabilitation, Department of Neurology, University of Zürich, Switzerland
- Department of MCB, Brown University, Providence, RI, USA
| | - Andreas Luft
- Center for Neurology and Rehabilitation, Vitznau, Switzerland
- Department of Neurology, University Hospital Zürich, Zürich, Switzerland
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