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Wang X, Yang W, Qi W, Wang Y, Ma X, Wang W. STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding. Neural Netw 2024; 178:106471. [PMID: 38945115 DOI: 10.1016/j.neunet.2024.106471] [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: 01/18/2024] [Revised: 06/11/2024] [Accepted: 06/16/2024] [Indexed: 07/02/2024]
Abstract
Brain-computer interfaces (BCIs), representing a transformative form of human-computer interaction, empower users to interact directly with external environments through brain signals. In response to the demands for high accuracy, robustness, and end-to-end capabilities within BCIs based on motor imagery (MI), this paper introduces STaRNet, a novel model that integrates multi-scale spatio-temporal convolutional neural networks (CNNs) with Riemannian geometry. Initially, STaRNet integrates a multi-scale spatio-temporal feature extraction module that captures both global and local features, facilitating the construction of Riemannian manifolds from these comprehensive spatio-temporal features. Subsequently, a matrix logarithm operation transforms the manifold-based features into the tangent space, followed by a dense layer for classification. Without preprocessing, STaRNet surpasses state-of-the-art (SOTA) models by achieving an average decoding accuracy of 83.29% and a kappa value of 0.777 on the BCI Competition IV 2a dataset, and 95.45% accuracy with a kappa value of 0.939 on the High Gamma Dataset. Additionally, a comparative analysis between STaRNet and several SOTA models, focusing on the most challenging subjects from both datasets, highlights exceptional robustness of STaRNet. Finally, the visualizations of learned frequency bands demonstrate that temporal convolutions have learned MI-related frequency bands, and the t-SNE analyses of features across multiple layers of STaRNet exhibit strong feature extraction capabilities. We believe that the accurate, robust, and end-to-end capabilities of the STaRNet will facilitate the advancement of BCIs.
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Affiliation(s)
- Xingfu Wang
- CAS Key Laboratory of Space Manufacturing Technology, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Wenjie Yang
- CAS Key Laboratory of Space Manufacturing Technology, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Wenxia Qi
- CAS Key Laboratory of Space Manufacturing Technology, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yu Wang
- National Engineering and Technology Research Center for ASIC Design, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xiaojun Ma
- National Engineering and Technology Research Center for ASIC Design, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Wei Wang
- CAS Key Laboratory of Space Manufacturing Technology, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
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Eaves DL, Hodges NJ, Buckingham G, Buccino G, Vogt S. Enhancing motor imagery practice using synchronous action observation. PSYCHOLOGICAL RESEARCH 2024; 88:1891-1907. [PMID: 36574019 PMCID: PMC11315722 DOI: 10.1007/s00426-022-01768-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 11/07/2022] [Indexed: 12/28/2022]
Abstract
In this paper, we discuss a variety of ways in which practising motor actions by means of motor imagery (MI) can be enhanced via synchronous action observation (AO), that is, by AO + MI. We review the available research on the (mostly facilitatory) behavioural effects of AO + MI practice in the early stages of skill acquisition, discuss possible theoretical explanations, and consider several issues related to the choice and presentation schedules of suitable models. We then discuss considerations related to AO + MI practice at advanced skill levels, including expertise effects, practical recommendations such as focussing attention on specific aspects of the observed action, using just-ahead models, and possible effects of the perspective in which the observed action is presented. In section "Coordinative AO + MI", we consider scenarios where the observer imagines performing an action that complements or responds to the observed action, as a promising and yet under-researched application of AO + MI training. In section "The dual action simulation hypothesis of AO + MI", we review the neurocognitive hypothesis that AO + MI practice involves two parallel action simulations, and we consider opportunities for future research based on recent neuroimaging work on parallel motor representations. In section "AO + MI training in motor rehabilitation", we review applications of AO, MI, and AO + MI training in the field of neurorehabilitation. Taken together, this evidence-based, exploratory review opens a variety of avenues for future research and applications of AO + MI practice, highlighting several clear advantages over the approaches of purely AO- or MI-based practice.
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Affiliation(s)
- Daniel L Eaves
- School of Biomedical, Nutritional and Sport Sciences, Newcastle University, Newcastle upon Tyne, UK.
| | - Nicola J Hodges
- School of Kinesiology, University of British Columbia, Vancouver, Canada
| | - Gavin Buckingham
- Department of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Giovanni Buccino
- Division of Neuroscience, IRCCS San Raffaele and Vita Salute San Raffaele University, Milan, Italy
| | - Stefan Vogt
- Department of Psychology, Lancaster University, Lancaster, UK.
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Antonioni A, Raho EM, Straudi S, Granieri E, Koch G, Fadiga L. The cerebellum and the Mirror Neuron System: A matter of inhibition? From neurophysiological evidence to neuromodulatory implications. A narrative review. Neurosci Biobehav Rev 2024; 164:105830. [PMID: 39069236 DOI: 10.1016/j.neubiorev.2024.105830] [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: 06/09/2024] [Revised: 07/20/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
Mirror neurons show activity during both the execution (AE) and observation of actions (AO). The Mirror Neuron System (MNS) could be involved during motor imagery (MI) as well. Extensive research suggests that the cerebellum is interconnected with the MNS and may be critically involved in its activities. We gathered evidence on the cerebellum's role in MNS functions, both theoretically and experimentally. Evidence shows that the cerebellum plays a major role during AO and MI and that its lesions impair MNS functions likely because, by modulating the activity of cortical inhibitory interneurons with mirror properties, the cerebellum may contribute to visuomotor matching, which is fundamental for shaping mirror properties. Indeed, the cerebellum may strengthen sensory-motor patterns that minimise the discrepancy between predicted and actual outcome, both during AE and AO. Furthermore, through its connections with the hippocampus, the cerebellum might be involved in internal simulations of motor programs during MI. Finally, as cerebellar neuromodulation might improve its impact on MNS activity, we explored its potential neurophysiological and neurorehabilitation implications.
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Affiliation(s)
- Annibale Antonioni
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy; Department of Neuroscience, Ferrara University Hospital, Ferrara 44124, Italy; Doctoral Program in Translational Neurosciences and Neurotechnologies, University of Ferrara, Ferrara 44121, Italy.
| | - Emanuela Maria Raho
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy; Department of Neuroscience, Ferrara University Hospital, Ferrara 44124, Italy
| | - Enrico Granieri
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy
| | - Giacomo Koch
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy; Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara 44121 , Italy; Non Invasive Brain Stimulation Unit, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia, Rome 00179, Italy
| | - Luciano Fadiga
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara 44121, Italy; Center for Translational Neurophysiology of Speech and Communication (CTNSC), Italian Institute of Technology (IIT), Ferrara 44121 , Italy
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Azaad S, Sebanz N. Potential benefits of synchronous action observation and motor imagery: a commentary on Eaves et al. 2022. PSYCHOLOGICAL RESEARCH 2024; 88:1908-1910. [PMID: 37947875 PMCID: PMC11315708 DOI: 10.1007/s00426-023-01895-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
In a recent Psychological Research article, Eaves et al. (2022) review the literature on how motor imagery (MI) practice combined with action observation (AO) enhances motor performance. The authors propose that the synchronous form of AO and MI (AOMI) affords unique benefits to performance that are not possible when the two interventions are performed asynchronously. We discuss three questions raised by Eaves et al.'s review: (1) are there any clear advantages to synchronous AOMI? (2) Are there super-additive benefits to AOMI, and if so, are they unique to synchronous AOMI? (3) How might coordinative AOMI, in which people imagine complementary actions, facilitate joint actions?
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Frank C, Kraeutner SN, Rieger M, Boe SG. Learning motor actions via imagery-perceptual or motor learning? PSYCHOLOGICAL RESEARCH 2024; 88:1820-1832. [PMID: 36680584 PMCID: PMC11315805 DOI: 10.1007/s00426-022-01787-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/22/2022] [Indexed: 01/22/2023]
Abstract
It is well accepted that repeatedly imagining oneself acting without any overt behavior can lead to learning. The prominent theory accounting for why imagery practice is effective, motor simulation theory, posits that imagined action and overt action are functionally equivalent, the exception being activation of the end effector. If, as motor simulation theory states, one can compile the goal, plan, motor program and outcome of an action during imagined action similar to overt action, then learning of novel skills via imagery should proceed in a manner equivalent to that of overt action. While the evidence on motor simulation theory is both plentiful and diverse, it does not explicitly account for differences in neural and behavioural findings between imagined and overt action. In this position paper, we briefly review theoretical accounts to date and present a perceptual-cognitive theory that accounts for often observed outcomes of imagery practice. We suggest that learning by way of imagery reflects perceptual-cognitive scaffolding, and that this 'perceptual' learning transfers into 'motor' learning (or not) depending on various factors. Based on this theory, we characterize consistently reported learning effects that occur with imagery practice, against the background of well-known physical practice effects and show that perceptual-cognitive scaffolding is well-suited to explain what is being learnt during imagery practice.
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Affiliation(s)
- Cornelia Frank
- Department of Sports and Movement Science, School of Educational and Cultural Studies, Osnabrück University, Osnabrück, Germany.
| | - Sarah N Kraeutner
- Department of Psychology, University of British Columbia, Okanagan, Kelowna, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Martina Rieger
- Institute for Psychology, UMIT Tirol - Private University for Health Sciences and Health Technology, Hall in Tyrol, Austria
| | - Shaun G Boe
- Laboratory for Brain Recovery and Function, School of Physiotherapy, Department of Psychology and Neuroscience, School of Health and Human Performance, Dalhousie University, Nova Scotia, Canada
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Tedeschi R, Platano D, Donati D, Giorgi F. Harnessing Mirror Neurons: A New Frontier in Parkinson's Disease Rehabilitation-A Scoping Review of the Literature. J Clin Med 2024; 13:4539. [PMID: 39124805 PMCID: PMC11313649 DOI: 10.3390/jcm13154539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 07/25/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
Background: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor symptoms such as tremors, rigidity, and bradykinesia. Rehabilitation utilizing mirror neurons leverages the brain's capacity for action observation (AO) and motor imagery (MI) to enhance motor function. This approach involves patients imitating movements observed in therapists or videos, aiming to improve gait, coordination, and overall quality of life. Mirror neuron activation facilitates motor learning and may decelerate disease progression, thus enhancing patient mobility and independence. Methods: This scoping review aimed to map current evidence on PD therapies employing mirror neuron-based rehabilitation. Databases searched included PubMed, PEDro, and Cochrane. The review included randomized controlled trials (RCTs) and systematic reviews that examined the effects of AO and MI in PD rehabilitation. Results: Five studies met the inclusion criteria, encompassing various rehabilitation techniques focusing on AO and MI. These studies consistently demonstrated positive outcomes, such as reduced disease severity and improved quality of life, gait, and balance in PD patients. The activation of mirror neurons through AO and MI was shown to facilitate motor learning and contribute to improved functional mobility. Conclusions: Although the included studies support the beneficial impact of AO and MI techniques in PD rehabilitation, numerous questions remain unresolved. Further research is necessary to evaluate the potential integration of these techniques into standard physiotherapy routines for PD patients. This review highlights the promise of AO and MI in enhancing motor rehabilitation for PD, suggesting the need for more comprehensive studies to validate and refine these therapeutic approaches.
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Affiliation(s)
- Roberto Tedeschi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, 40125 Bologna, Italy;
| | - Daniela Platano
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, 40125 Bologna, Italy;
- Physical Medicine and Rehabilitation Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | - Danilo Donati
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41124 Modena, Italy;
- Physical Therapy and Rehabilitation Unit, Policlinico di Modena, 41125 Modena, Italy
| | - Federica Giorgi
- IRCCS Institute of Neurological Sciences, UOC Child Rehabilitation Medicine, 40138 Bologna, Italy;
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Seebacher B, Helmlinger B, Pinter D, Heschl B, Ehling R, Hechenberger S, Reindl M, Khalil M, Enzinger C, Deisenhammer F, Brenneis MD C. Actual and Imagined Music-Cued Gait Training in People with Multiple Sclerosis: A Double-Blind Randomized Parallel Multicenter Trial. Neurorehabil Neural Repair 2024; 38:555-569. [PMID: 38873806 PMCID: PMC11308272 DOI: 10.1177/15459683241260724] [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] [Indexed: 06/15/2024]
Abstract
BACKGROUND Actual and imagined cued gait trainings have not been compared in people with multiple sclerosis (MS). OBJECTIVE To analyze the effects of cued motor imagery (CMI), cued gait training (CGT), and combined CMI and cued gait training (CMI-CGT) on motor, cognitive, and emotional functioning, and health-related quality of life in people with MS. METHODS In this double-blind randomized parallel-group multicenter trial, people with MS were randomized (1:1:1) to CMI, CMI-CGT, or CGT for 30 minutes, 4×/week for 4 weeks. Patients practiced at home, using recorded instructions, and supported by ≥6 phone calls. Data were collected at weeks 0, 4, and 13. Co-primary outcomes were walking speed and distance, analyzed by intention-to-treat. Secondary outcomes were global cognitive impairment, anxiety, depression, suicidality, fatigue, HRQoL, motor imagery ability, music-induced motivation, pleasure and arousal, self-efficacy, and cognitive function. Adverse events and falls were continuously monitored. RESULTS Of 1559 screened patients, 132 were randomized: 44 to CMI, 44 to CMI-CGT, and 44 to CGT. None of the interventions demonstrated superiority in influencing walking speed or distance, with negligible effects on walking speed (η2 = 0.019) and distance (η2 = 0.005) observed in the between-group comparison. Improvements in walking speed and walking distance over time corresponded to large effects for CMI, CMI-CGT, and CGT (η2 = 0.348 and η2 = 0.454 respectively). No severe study-related adverse events were reported. CONCLUSIONS CMI-GT did not lead to improved walking speed and distance compared with CMI and CGT alone in people with MS. Lack of a true control group represents a study limitation. TRIAL REGISTRATION German Clinical Trials Register, DRKS00023978.
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Affiliation(s)
- Barbara Seebacher
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Rehabilitation Science, Clinic for Rehabilitation Muenster, Austria
- Karl Landsteiner Institute for Interdisciplinary Rehabilitation Research, Muenster, Austria
| | - Birgit Helmlinger
- Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Steiermark, Austria
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Steiermark, Austria
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Bettina Heschl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Rainer Ehling
- Karl Landsteiner Institute for Interdisciplinary Rehabilitation Research, Muenster, Austria
- Department of Neurology, Clinic for Rehabilitation Muenster, Muenster, Austria
| | - Stefanie Hechenberger
- Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Steiermark, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
- Neurology Biomarker Research Unit, Medical University of Graz, Graz, Steiermark, Austria
| | - Christian Enzinger
- Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Steiermark, Austria
- Department of Neurology, Medical University of Graz, Graz, Austria
- Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Steiermark, Austria
| | - Florian Deisenhammer
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Christian Brenneis MD
- Karl Landsteiner Institute for Interdisciplinary Rehabilitation Research, Muenster, Austria
- Department of Neurology, Clinic for Rehabilitation Muenster, Muenster, Austria
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Furuta T, Morita T, Miura G, Naito E. Structural and functional features characterizing the brains of individuals with higher controllability of motor imagery. Sci Rep 2024; 14:17243. [PMID: 39060339 PMCID: PMC11282224 DOI: 10.1038/s41598-024-68425-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 07/23/2024] [Indexed: 07/28/2024] Open
Abstract
Motor imagery is a higher-order cognitive brain function that mentally simulates movements without performing the actual physical one. Although motor imagery has attracted the interest of many researchers, and mental practice utilizing motor imagery has been widely used in sports training and post-stroke rehabilitation, neural bases that determine individual differences in motor imagery ability are not well understood. In this study, using controllability of motor imagery (CMI) test that can objectively evaluate individual ability to manipulate one's imaginary postures, we examined structural and functional features characterizing the brains of individuals with higher controllability of motor imagery, by analyzing T1-weighted structural MRI data obtained from 89 participants and functional MRI data obtained from 28 of 89 participants. The higher CMI test scorers had larger volume in the bilateral superior frontoparietal white matter regions. The CMI test activated the bilateral dorsal premotor cortex (PMD) and superior parietal lobule (SPL); specifically, the left PMD and/or the right SPL enhanced functional coupling with the visual body, somatosensory, and motor/kinesthetic areas in the higher scorers. Hence, controllability of motor imagery is higher for those who well-develop superior frontoparietal network, and for those whose this network accesses these sensory areas to predict the expected multisensory experiences during motor imagery. This study elucidated for the first time the structural and functional features characterizing the brains of individuals with higher controllability of motor imagery, and advanced understanding of individual differences in motor imagery ability.
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Affiliation(s)
- Tomoya Furuta
- Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Tomoyo Morita
- Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Gen Miura
- Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan
- Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Eiichi Naito
- Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology (NICT), 1-4 Yamadaoka, Suita, Osaka, 565-0871, Japan.
- Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan.
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Stonsaovapak C, Koonalinthip N, Kitisomprayoonkul W. Efficacy of mirror neuron system-based therapy for rehabilitation of upper limb orthopedic conditions: A systematic review and meta-analysis. PM R 2024. [PMID: 39051506 DOI: 10.1002/pmrj.13239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 05/05/2024] [Accepted: 05/16/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE The aim of this systematic review and meta-analysis is to assess the efficacy of mirror neuron system-based therapy for managing pain and improving motor and upper limb function in patients with upper limb orthopedic conditions. LITERATURE SURVEY Systematic bibliographical searches of the PubMed, SCOPUS, and CENTRAL registries and databases up to September 2023 were conducted to find randomized controlled trials (RCTs) assessing the efficacy of mirror neuron system-based therapy for rehabilitation of upper limb orthopedic conditions. METHODOLOGY Two reviewers assessed the RCTs using a Cochrane risk-of-bias tool and extracted data from studies with similar outcome measures in the domains of pain, motor function, or functional score, which were pooled into meta-analyses. SYNTHESIS The review included 13 studies to compare the efficacy of mirror neuron system-based therapy with that of conventional rehabilitation programs. The therapy reduced pain intensity (mean difference [MD] 2.04, 95% confidence interval [CI] 1.46-2.63) and kinesiophobia (MD 8.43, 95% CI 6.98 to 9.88), and increased grip strength (MD 1.86, 95% CI 0.28-3.45). The therapy also improved upper limb functional outcomes as assessed by the 30-item Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire score (MD 13.52, 95% CI 10.63-16.41). However, the outcomes as assessed by the 11-item QuickDASH questionnaire and the Shoulder Pain and Disability Index (SPADI) were not superior to conventional rehabilitation. CONCLUSIONS Mirror neuron system-based therapy for rehabilitation of upper limb orthopedic conditions may reduce pain intensity and kinesophobia, and improve grip strength and DASH scores compared with conventional rehabilitation programs. However, this interpretation is limited by the heterogeneity and various quality of the RCTs included in our meta-analysis.
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Affiliation(s)
- Chernkhuan Stonsaovapak
- Department of Rehabilitation Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nantawan Koonalinthip
- Department of Rehabilitation Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Wasuwat Kitisomprayoonkul
- Department of Rehabilitation Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Bora-Zereyak M, Bulut N, Yılmaz Ö, Alemdaroğlu-Gürbüz İ. Motor imagery ability of children with duchenne muscular dystrophy: Reliability and validity of kinesthetic and Visual Imagery Questionnaire-10, and its association with cognitive status. Eur J Paediatr Neurol 2024; 51:118-124. [PMID: 38917696 DOI: 10.1016/j.ejpn.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 06/27/2024]
Abstract
PURPOSE To investigate validity and reliability of the Kinesthetic and Visual Imagery Questionnaire-10 (KVIQ-10) in children with Duchenne Muscular Dystrophy (DMD), to compare the motor imagery (MI) ability with age-matched controls, and to examine the relationship between MI ability and cognitive status. METHODS The research involved 38 children who were diagnosed with DMD, as well as 20 healthy controls aged between 7 and 18 years. The KVIQ-10 was assessed for its test-retest reliability, internal consistency, construct and concurrent validity. The Motor Imagery Questionnaire for Children (MIQ-C) was selected as the gold standard test for concurrent validity. Cognitive function was assessed using the Modified Mini Mental Test (MMMT) and Montreal Cognitive Assessment (MoCA). RESULTS KVIQ-10 showed excellent test-retest reliability (ICC>0.90) and high internal consistency (Cronbach's alpha>0.70). A moderate-to-strong association was found between KVIQ-10 and MIQ-C subscales (p < 0.001). KVIQ-10 and MIQ-C subscores were statistically lower in the DMD group (p ≤ 0.05). A correlation was found between MoCA and KVIQ-10 in children with DMD (p ≤ 0.05). CONCLUSIONS The KVIQ-10 is a reliable and valid measure to assess the MI ability of children with DMD whose imagery ability was determined to be impaired. CLINICAL TRIAL REGISTRATION NUMBER AND URL NCT05559710 (https://classic. CLINICALTRIALS gov/ct2/show/NCT05559710?term=NCT05559710&draw=2&rank=1).
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Affiliation(s)
- Merve Bora-Zereyak
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Talatpaşa Bulvarı, 06100, Altındağ, Ankara, Turkey.
| | - Numan Bulut
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Talatpaşa Bulvarı, 06100, Altındağ, Ankara, Turkey.
| | - Öznur Yılmaz
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Talatpaşa Bulvarı, 06100, Altındağ, Ankara, Turkey.
| | - İpek Alemdaroğlu-Gürbüz
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Talatpaşa Bulvarı, 06100, Altındağ, Ankara, Turkey.
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11
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Laurent D, Carien R, Robin N. Influence of Motor Imagery Modality on First-Serve Performance in Tennis Players. Motor Control 2024:1-14. [PMID: 38710480 DOI: 10.1123/mc.2023-0080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 05/08/2024]
Abstract
Motor imagery (MI) is frequently used in tennis players. This pilot study aimed to assess whether the MI modality and preference of skilled tennis players could influence their service performance when using MI before serving first balls. Twenty expert players (Mage = 18.6 years) completed the movement imagery questionnaire (third version) to assess their MI modality scores (internal visual, external visual, and kinesthetic) and their MI preference. Participants completed 4 experimental counterbalanced sessions spread over 4 weeks, each including the completion of 20 first-serve balls in match condition. The sessions included a control condition (i.e., only physical practice trials) and three MI conditions during which the players had to mentally imagine themselves performing a serve according to one of the imagery modalities, either internal visual, external visual, or kinesthetic, before serving. The percentage of success, the speed of the service balls (measured by a tablet with SWING VISION and a radar gun), and an efficiency score were recorded and then evaluated by experts and served as performance indicators and dependent variables. The results of this study showed that players benefited from MI before serving and that almost a third of the participants achieved a higher percentage of success and efficiency scores when using their preferred MI modality. These results lead us, in an applied way, to suggest to skilled tennis players to determine their MI preference and to have recourse to the mental simulation of a successful serve before serving the first balls in match condition.
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Affiliation(s)
| | - Robbin Carien
- Laboratoire "Adaptation au Climate Tropical, Exercise & Santé", Université des Antilles, Pointe-a-Pitre, France
| | - Nicolas Robin
- Laboratoire "Adaptation au Climate Tropical, Exercise & Santé", Université des Antilles, Pointe-a-Pitre, France
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12
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Lee M, Park HY, Park W, Kim KT, Kim YH, Jeong JH. Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1767-1778. [PMID: 38683717 DOI: 10.1109/tnsre.2024.3395133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Robot-assisted motor training is applied for neurorehabilitation in stroke patients, using motor imagery (MI) as a representative paradigm of brain-computer interfaces to offer real-life assistance to individuals facing movement challenges. However, the effectiveness of training with MI may vary depending on the location of the stroke lesion, which should be considered. This paper introduces a multi-task electroencephalogram-based heterogeneous ensemble learning (MEEG-HEL) specifically designed for cross-subject training. In the proposed framework, common spatial patterns were used for feature extraction, and the features according to stroke lesions are shared and selected through sequential forward floating selection. The heterogeneous ensembles were used as classifiers. Nine patients with chronic ischemic stroke participated, engaging in MI and motor execution (ME) paradigms involving finger tapping. The classification criteria for the multi-task were established in two ways, taking into account the characteristics of stroke patients. In the cross-subject session, the first involved a direction recognition task for two-handed classification, achieving a performance of 0.7419 (±0.0811) in MI and 0.7061 (±0.1270) in ME. The second task focused on motor assessment for lesion location, resulting in a performance of 0.7457 (±0.1317) in MI and 0.6791 (±0.1253) in ME. Comparing the specific-subject session, except for ME on the motor assessment task, performance on both tasks was significantly higher than the cross-subject session. Furthermore, classification performance was similar to or statistically higher in cross-subject sessions compared to baseline models. The proposed MEEG-HEL holds promise in improving the practicality of neurorehabilitation in clinical settings and facilitating the detection of lesions.
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13
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Dekleva BM, Chowdhury RH, Batista AP, Chase SM, Yu BM, Boninger ML, Collinger JL. Motor cortex retains and reorients neural dynamics during motor imagery. Nat Hum Behav 2024; 8:729-742. [PMID: 38287177 PMCID: PMC11089477 DOI: 10.1038/s41562-023-01804-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 12/13/2023] [Indexed: 01/31/2024]
Abstract
The most prominent characteristic of motor cortex is its activation during movement execution, but it is also active when we simply imagine movements in the absence of actual motor output. Despite decades of behavioural and imaging studies, it is unknown how the specific activity patterns and temporal dynamics in motor cortex during covert motor imagery relate to those during motor execution. Here we recorded intracortical activity from the motor cortex of two people who retain some residual wrist function following incomplete spinal cord injury as they performed both actual and imagined isometric wrist extensions. We found that we could decompose the population activity into three orthogonal subspaces, where one was similarly active during both action and imagery, and the others were active only during a single task type-action or imagery. Although they inhabited orthogonal neural dimensions, the action-unique and imagery-unique subspaces contained a strikingly similar set of dynamic features. Our results suggest that during motor imagery, motor cortex maintains the same overall population dynamics as during execution by reorienting the components related to motor output and/or feedback into a unique, output-null imagery subspace.
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Affiliation(s)
- Brian M Dekleva
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine & Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Raeed H Chowdhury
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Aaron P Batista
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven M Chase
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Byron M Yu
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Michael L Boninger
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine & Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer L Collinger
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Physical Medicine & Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
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14
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Putzolu M, Samogin J, Bonassi G, Cosentino C, Mezzarobba S, Botta A, Avanzino L, Mantini D, Vato A, Pelosin E. Motor imagery ability scores are related to cortical activation during gait imagery. Sci Rep 2024; 14:5207. [PMID: 38433230 PMCID: PMC10909887 DOI: 10.1038/s41598-024-54966-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. To this goal, brain activity was recorded using high-density electroencephalography in nineteen healthy adults while visually imagining walking on a straight path. We extracted Event-Related Desynchronizations (ERDs) in the θ, α, and β band, and we measured MI ability via (i) the Kinesthetic and Visual Imagery Questionnaire (KVIQ), (ii) the Vividness of Movement Imagery Questionnaire-2 (VMIQ), and (iii) the Imagery Ability (IA) score. We then used Pearson's and Spearman's coefficients to correlate MI ability scores and average ERD power (avgERD). Positive correlations were identified between VMIQ and avgERD of the middle cingulum in the β band and with avgERD of the left insula, right precentral area, and right middle occipital region in the θ band. Stronger activation of the MI network was related to better scores of MI ability evaluations, supporting the importance of testing MI ability during MI protocols. This result will help to understand MI mechanisms and develop personalized MI treatments for patients with neurological dysfunctions.
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Affiliation(s)
- Martina Putzolu
- Department of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, Genoa, Italy
| | - Jessica Samogin
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
| | - Gaia Bonassi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy
| | - Carola Cosentino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy
| | - Susanna Mezzarobba
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Laura Avanzino
- Department of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
| | - Alessandro Vato
- Department of Biomedical Engineering, The Catholic University of America, Washington, DC, USA.
- National Center for Adaptive Neurotechnologies, Stratton VA Medical Center, Albany, NY, USA.
- College of Engineering and Applied Sciences, University at Albany - SUNY, Albany, NY, USA.
| | - Elisa Pelosin
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal, and Child Health, University of Genoa, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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15
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Mandolesi L, Passarello N, Lucidi F. Differences in motor imagery abilities in active and sedentary individuals: new insights from backward-walking imagination. PSYCHOLOGICAL RESEARCH 2024; 88:499-508. [PMID: 37773349 PMCID: PMC10858124 DOI: 10.1007/s00426-023-01876-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 09/01/2023] [Indexed: 10/01/2023]
Abstract
Evidence has shown that imagining a complex action, like backward-walking, helps improve the execution of the gesture. Despite this, studies in sport psychology have provided heterogeneous results on the use of motor imagery (MI) to improve performance. We aimed to fill this gap by analyzing how sport experience influences backward-walking MI processes in a sample of young women (n = 41, mean age = 21 ± 2.2) divided into Active and Sedentary. All participants were allocated to two randomized mental chronometric tasks, in which they had first to imagine and then execute forward-walking (FW) and backward-walking (BW). The Isochrony Efficiency measured the difference between imagination and execution times in both conditions (FW and BW). Moreover, we analyzed the ability to vividly imagine FW and BW within various perspectives in both groups through the Vividness of Movement Imagery Questionnaire (VMIQ-2). Findings showed that active individuals performed better in the BW imagery task when compared to sedentary ones (F1,39 = 4.98; p = 0.03*), while there were no differences between groups in the FW imagery task (F1,39 = .10; p = 0.75). Further, VMIQ-2 had evidenced that the ability to imagine backward is influenced by perspective used. Specifically, the use of internal visual imagery (IVI) led to worse Isochrony Efficiency (t32,25 = 2.16; p = 0.04*), while the use of kinesthetic imagery (KIN) led to better Isochrony Efficiency (t32,25 = - 2.34; p = 0.03*). These results suggest a close relation between motor experience and complex motor imagery processes and open new insights for studying these mental processes.
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Affiliation(s)
- Laura Mandolesi
- Department of Humanities, "Federico II" University of Naples, Via Porta Di Massa, 1, 80133, Naples, Italy.
| | - Noemi Passarello
- Department of Humanities, "Federico II" University of Naples, Via Porta Di Massa, 1, 80133, Naples, Italy
| | - Fabio Lucidi
- Department of Social and Developmental Psychology, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Via dei Marsi, 78, 00185, Rome, Italy
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16
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Zhang L, Bai D, Song P, Zhang J. Effects of physical health beliefs on college students' physical exercise behavior intention: mediating effects of exercise imagery. BMC Psychol 2024; 12:99. [PMID: 38409054 PMCID: PMC10898152 DOI: 10.1186/s40359-024-01558-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/28/2024] [Indexed: 02/28/2024] Open
Abstract
OBJECTIVE This study explores the relationship between physical health beliefs and physical exercise behavior intention of college students and constructs a mediation model through the mediation role of exercise imagery. METHODS Using the stratified cluster sampling method, 1356 college students were measured in group psychology by using the Physical Health Beliefs Scale, Exercise Imagery Inventory, and Physical Exercise Behavior Intention Scale. The statistical software Mplus 8.1, SPSS 22.0 and SPSS PROCESS 3.3 were used for statistical processing. The common method deviation test was carried out by Harman single-factor control method. Finally, the bootstrap sampling test method and process plug-in were used to test the significance of intermediary effect. RESULTS (1) physical health beliefs have a significant predictive effect on physical exercise behavior intention (β = 0.32, p < 0.001); (2) exercise imagery (β = 0.13, p < 0.001) mediate the relationship between physical health beliefs and physical exercise behavior intention (physical health beliefs → exercise imagery → physical exercise behavior intention (95% Cl: 0.14, 0.32)). CONCLUSION physical health beliefs can directly improve the physical exercise behavior intention of college students, which can also affect college students' physical exercise behavior intention indirectly through exercise imagery. The findings suggest that exercise imagery are important variables that mediate the effect of the college students' physical health beliefs on their physical exercise behavior intention.
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Affiliation(s)
- Li Zhang
- School of Physical Education, Chongqing University, Chongqing, China
| | - Donghuan Bai
- School of Physical Education, Huaibei Normal University, Huaibei, China
| | - Pengwei Song
- School of Physical Education, Guangxi Science and Technology Normal University, Laibin, China
| | - Jia Zhang
- School of Physical Education, Chongqing University, Chongqing, China.
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17
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Moreno-Verdú M, Hamoline G, Van Caenegem EE, Waltzing BM, Forest S, Valappil AC, Khan AH, Chye S, Esselaar M, Campbell MJ, McAllister CJ, Kraeutner SN, Poliakoff E, Frank C, Eaves DL, Wakefield C, Boe SG, Holmes PS, Bruton AM, Vogt S, Wright DJ, Hardwick RM. Guidelines for reporting action simulation studies (GRASS): Proposals to improve reporting of research in motor imagery and action observation. Neuropsychologia 2024; 192:108733. [PMID: 37956956 DOI: 10.1016/j.neuropsychologia.2023.108733] [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: 10/10/2023] [Accepted: 11/08/2023] [Indexed: 11/21/2023]
Abstract
Researchers from multiple disciplines have studied the simulation of actions through motor imagery, action observation, or their combination. Procedures used in these studies vary considerably between research groups, and no standardized approach to reporting experimental protocols has been proposed. This has led to under-reporting of critical details, impairing the assessment, replication, synthesis, and potential clinical translation of effects. We provide an overview of issues related to the reporting of information in action simulation studies, and discuss the benefits of standardized reporting. We propose a series of checklists that identify key details of research protocols to include when reporting action simulation studies. Each checklist comprises A) essential methodological details, B) essential details that are relevant to a specific mode of action simulation, and C) further points that may be useful on a case-by-case basis. We anticipate that the use of these guidelines will improve the understanding, reproduction, and synthesis of studies using action simulation, and enhance the translation of research using motor imagery and action observation to applied and clinical settings.
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Affiliation(s)
- Marcos Moreno-Verdú
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium; Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, Spain
| | - Gautier Hamoline
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium
| | - Elise E Van Caenegem
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium
| | - Baptiste M Waltzing
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium
| | - Sébastien Forest
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium
| | - Ashika C Valappil
- Simulating Movements to Improve Learning and Execution (SMILE) Research Group, School of Life and Health Sciences, University of Roehampton, UK
| | - Adam H Khan
- Simulating Movements to Improve Learning and Execution (SMILE) Research Group, School of Life and Health Sciences, University of Roehampton, UK
| | - Samantha Chye
- Simulating Movements to Improve Learning and Execution (SMILE) Research Group, School of Life and Health Sciences, University of Roehampton, UK
| | - Maaike Esselaar
- Research Centre for Musculoskeletal Science and Sports Medicine, Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, UK
| | - Mark J Campbell
- Lero Esports Science Research Lab, Physical Education & Sport Sciences Department & Lero the Science Foundation Ireland Centre for Software Research, University of Limerick, Ireland
| | - Craig J McAllister
- Centre for Human Brain Health, School of Sport Exercise and Rehabilitation Sciences, University of Birmingham, UK
| | - Sarah N Kraeutner
- Neuroplasticity, Imagery, And Motor Behaviour Laboratory, Department of Psychology & Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Okanagan, Canada
| | - Ellen Poliakoff
- Body Eyes and Movement (BEAM) Laboratory, Faculty of Biology, Medicine and Health, University of Manchester, UK
| | - Cornelia Frank
- Cognition, Imagery and Learning in Action Laboratory, Department of Sports and Movement Science, School of Educational and Cultural Studies, Osnabrueck University, Germany
| | - Daniel L Eaves
- Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle University, UK
| | | | - Shaun G Boe
- Laboratory for Brain Recovery and Function, School of Physiotherapy and Department of Psychology and Neuroscience, Dalhousie University, Canada
| | - Paul S Holmes
- Research Centre for Health, Psychology and Communities, Department of Psychology, Faculty of Health and Education, Manchester Metropolitan University, UK
| | - Adam M Bruton
- Simulating Movements to Improve Learning and Execution (SMILE) Research Group, School of Life and Health Sciences, University of Roehampton, UK; : Centre for Cognitive and Clinical Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, UK
| | - Stefan Vogt
- Perception and Action Group, Department of Psychology, Lancaster University, UK
| | - David J Wright
- Research Centre for Health, Psychology and Communities, Department of Psychology, Faculty of Health and Education, Manchester Metropolitan University, UK
| | - Robert M Hardwick
- Brain, Action, And Skill Laboratory, Institute of Neuroscience (Cognition and Systems Division), UC Louvain, Belgium.
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18
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Mezzarobba S, Bonassi G, Avanzino L, Pelosin E. Action Observation and Motor Imagery as a Treatment in Patients with Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S53-S64. [PMID: 38250785 PMCID: PMC11380291 DOI: 10.3233/jpd-230219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Action observation (AO) and motor imagery (MI) has emerged as promising tool for physiotherapy intervention in Parkinson's disease (PD). This narrative review summarizes why, how, and when applying AO and MI training in individual with PD. We report the neural underpinning of AO and MI and their effects on motor learning. We examine the characteristics and the current evidence regarding the effectiveness of physiotherapy interventions and we provide suggestions about their implementation with technologies. Neurophysiological data suggest a substantial correct activation of brain networks underlying AO and MI in people with PD, although the occurrence of compensatory mechanisms has been documented. Regarding the efficacy of training, in general evidence indicates that both these techniques improve mobility and functional activities in PD. However, these findings should be interpreted with caution due to variety of the study designs, training characteristics, and the modalities in which AO and MI were applied. Finally, results on long-term effects are still uncertain. Several elements should be considered to optimize the use of AO and MI in clinical setting, such as the selection of the task, the imagery or the video perspectives, the modalities of training. However, a comprehensive individual assessment, including motor and cognitive abilities, is essential to select which between AO and MI suite the best to each PD patients. Much unrealized potential exists for the use AO and MI training to provide personalized intervention aimed at fostering motor learning in both the clinic and home setting.
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Affiliation(s)
- Susanna Mezzarobba
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gaia Bonassi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
| | - Laura Avanzino
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy
| | - Elisa Pelosin
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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19
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Brusa F, Erden MS, Sedda A. More implicit and more explicit motor imagery tasks for exploring the mental representation of hands and feet in action. Exp Brain Res 2023; 241:2765-2778. [PMID: 37855915 PMCID: PMC10635989 DOI: 10.1007/s00221-023-06718-2] [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: 06/01/2023] [Accepted: 10/04/2023] [Indexed: 10/20/2023]
Abstract
The mental representation of the body in action can be explored using motor imagery (MI) tasks. MI tasks can be allocated along a continuum going from more implicit to more explicit tasks, where the discriminant is the degree of action monitoring required to solve the tasks (which is the awareness of using the mental representation of our own body to monitor our motor imagery). Tasks based on laterality judgments, such as the Hand Laterality Task (HLT) and the Foot Laterality Task (FLT), provide an example of more implicit tasks (i.e., less action monitoring is required). While, an example of a more explicit task is the Mental Motor Chronometry task (MMC) for hands and feet, where individuals are asked to perform or imagine performing movements with their limbs (i.e., more action monitoring is required). In our study, we directly compared hands and feet at all these tasks for the first time, as these body districts have different physical features as well as functions. Fifty-five participants were asked to complete an online version of the HLT and FLT (more implicit measure), and an online version of the MMC task for hands and feet (more explicit measure). The mental representation of hands and feet in action differed only when the degree of action monitoring decreased (HLT ≠ FLT); we observed the presence of biomechanical constraints only for hands. Differently, when the degree of action monitoring increased hands and feet did not show any difference (MMC hands = MMC feet). Our results show the presence of a difference in the mental representation of hands and feet in action that specifically depends on the degree of action monitoring.
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Affiliation(s)
- Federico Brusa
- Psychology Department, School of Social Sciences, Heriot-Watt University, Edinburgh, UK.
- Centre for Applied Behavioural Sciences, School of Social Sciences, Heriot-Watt University, Edinburgh, UK.
| | - Mustafa Suphi Erden
- School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK
- Edinburgh Centre for Robotics, Edinburgh, UK
| | - Anna Sedda
- Psychology Department, School of Social Sciences, Heriot-Watt University, Edinburgh, UK
- Centre for Applied Behavioural Sciences, School of Social Sciences, Heriot-Watt University, Edinburgh, UK
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20
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Dahm SF, Rieger M. Kinesthetic vs. visual focus: No evidence for effects of practice modality in representation types after action imagery practice and action execution practice. Hum Mov Sci 2023; 92:103154. [PMID: 37844453 PMCID: PMC7615372 DOI: 10.1016/j.humov.2023.103154] [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: 06/16/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/18/2023]
Abstract
Action-imagery practice (AIP) is assumed to result in partly different action representations than action-execution practice (AEP). The present study investigated whether focusing on either kinesthetic or visual aspects of a task during practice amplifies or diminishes such differences between AIP and AEP. In ten sessions, four groups, using either AIP or AEP with either kinesthetic or visual focus, practiced a twelve-element sequence in a unimanual serial reaction time task. Tests involved the practice sequence, a mirror sequence, and a different sequence, each performed with the practice and transfer hand. In AIP and AEP, in both hands, reaction times (RTs) were shorter in the practice sequence than in the different sequence, indicating effector-independent visual-spatial sequence representations. Further, RTs were shorter in the practice hand than in the transfer hand in the practice sequence (but not in the different sequence), indicating effector-dependent representations in AEP and AIP. Although the representation types did not differ, learning effects were stronger in AEP than in AIP. Thus, although to a lower extent than in AEP, effector-dependent representations can be acquired using AIP. Contrary to the expectations, the focus manipulation did not have an impact on the acquired representation types. Hence, modality instructions in AIP may not have such a strong impact as commonly assumed, at least in implicit sequence learning.
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Affiliation(s)
- Stephan F Dahm
- Universität Innsbruck, Department of Psychology, Innsbruck, Austria.
| | - Martina Rieger
- UMIT TIROL - Private University of Health Sciences and Health Technology, Institute of Psychology, Hall in Tyrol, Austria
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21
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Dahm SF, Hyna H, Krause D. Imagine to automatize: automatization of stimulus-response coupling after action imagery practice in implicit sequence learning. PSYCHOLOGICAL RESEARCH 2023; 87:2259-2274. [PMID: 36871080 PMCID: PMC10457413 DOI: 10.1007/s00426-023-01797-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 01/22/2023] [Indexed: 03/06/2023]
Abstract
Action imagery practice (AIP) describes the repetitive imagination of an action to improve subsequent action execution. Because AIP and action execution practice (AEP) draw on partly similar motor mechanisms, it was assumed that AIP may lead to motor automatization, which is observable in a reduction of dual-task costs after AEP. To investigate automatization in AIP, we compared dual-task and single-task performance in practice and random sequences in pretests and posttests. All participants practiced serial reactions to visual stimuli in ten single-task practice sessions. An AIP group imagined the reactions. An AEP group and a control practice group executed the reactions. Practice followed a sequential sequence in AIP and AEP but was random in control practice. In dual-task test conditions, tones were counted that appeared in addition to the visual stimuli. RTs decreased from pretest to posttest in both practice and random sequences in all groups indicating general sequence-unspecific learning. Further, RTs decreased to a greater extent in the practice sequence than in the random sequence after AIP and AEP, indicating sequence-specific learning. Dual-task costs-the difference between RTs after tone and no tone events-were reduced independent from the performed sequence in all groups indicating sequence-unspecific automatization. It is concluded that the stimulus-response coupling can be automatized by both, AEP and AIP.
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Affiliation(s)
- Stephan F Dahm
- Department of Psychology, Universität Innsbruck, Innsbruck, Austria.
- UMIT Tirol-Private University for Health Sciences and Health Technology, Hall in Tyrol, Austria.
| | - Henri Hyna
- Department of Exercise and Health, Paderborn University, Paderborn, Germany
| | - Daniel Krause
- Department of Exercise and Health, Paderborn University, Paderborn, Germany
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22
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Huynh VQ, Van Huynh T. Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks. Med Eng Phys 2023; 120:104041. [PMID: 37838395 DOI: 10.1016/j.medengphy.2023.104041] [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: 02/23/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 10/16/2023]
Abstract
Modern deep neural network training is based on mini-batch stochastic gradient optimization. While using extensive mini-batches improves the computational parallelism, the small batch training proved that it delivers improved generalization performance and allows a significantly smaller memory, which might also improve machine throughput. However, mini-batch size and characteristics, a key factor for training deep neural networks, has not been sufficiently investigated in training correlated group features and looping with highly complex ones. In addition, the unsupervised learning method clusters the data into different groups with similar properties to make the training process more stable and faster. Then, the supervised learning algorithm was applied with the cluster repeated mini-batch training (CRMT) methods. The CRMT algorithm changed the random minibatch characteristics in the training step into training in order of clusters. Specifically, the self-organizing maps (SOM) were used to cluster the information into n groups based on the dataset's labels Then, neural network models (ANN) were trained with each cluster using the cluster repeated mini-batch training method. Experiments conducted on EEG datasets demonstrate the survey of the proposed method and optimize it. In addition, the results in our research outperform other state-of-the-art methods.
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Affiliation(s)
- Viet Quoc Huynh
- Faculty of Physics and Engineering Physics, University of Science, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam
| | - Tuan Van Huynh
- Faculty of Physics and Engineering Physics, University of Science, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam.
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23
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Conessa A, Debarnot U, Siegler I, Boutin A. Sleep-related motor skill consolidation and generalizability after physical practice, motor imagery, and action observation. iScience 2023; 26:107314. [PMID: 37520714 PMCID: PMC10374463 DOI: 10.1016/j.isci.2023.107314] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 08/01/2023] Open
Abstract
Sleep benefits the consolidation of motor skills learned by physical practice, mainly through periodic thalamocortical sleep spindle activity. However, motor skills can be learned without overt movement through motor imagery or action observation. Here, we investigated whether sleep spindle activity also supports the consolidation of non-physically learned movements. Forty-five electroencephalographic sleep recordings were collected during a daytime nap after motor sequence learning by physical practice, motor imagery, or action observation. Our findings reveal that a temporal cluster-based organization of sleep spindles underlies motor memory consolidation in all groups, albeit with distinct behavioral outcomes. A daytime nap offers an early sleep window promoting the retention of motor skills learned by physical practice and motor imagery, and its generalizability toward the inter-manual transfer of skill after action observation. Findings may further have practical impacts with the development of non-physical rehabilitation interventions for patients having to remaster skills following peripherical or brain injury.
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Affiliation(s)
- Adrien Conessa
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
| | - Ursula Debarnot
- University Lyon, UCBL-Lyon 1, Inter-University Laboratory of Human Movement Biology, EA7424, 69622 Villeurbanne, France
- Institut Universitaire de France, Paris, France
| | - Isabelle Siegler
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
| | - Arnaud Boutin
- Université Paris-Saclay, CIAMS, 91405 Orsay, France
- Université d’Orléans, CIAMS, 45067 Orléans, France
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24
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Yakovlev L, Syrov N, Kaplan A. Investigating the influence of functional electrical stimulation on motor imagery related μ-rhythm suppression. Front Neurosci 2023; 17:1202951. [PMID: 37492407 PMCID: PMC10365101 DOI: 10.3389/fnins.2023.1202951] [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: 04/09/2023] [Accepted: 06/19/2023] [Indexed: 07/27/2023] Open
Abstract
Background Motor Imagery (MI) is a well-known cognitive technique that utilizes the same neural circuits as voluntary movements. Therefore, MI practice is widely used in sport training and post-stroke rehabilitation. The suppression of the μ-rhythm in electroencephalogram (EEG) is a conventional marker of sensorimotor cortical activation during motor imagery. However, the role of somatosensory afferentation in mental imagery processes is not yet clear. In this study, we investigated the impact of functional electrical stimulation (FES) on μ-rhythm suppression during motor imagery. Methods Thirteen healthy experienced participants were asked to imagine their right hand grasping, while a 30-channel EEG was recorded. FES was used to influence sensorimotor activation during motor imagery of the same hand. Results We evaluated cortical activation by estimating the μ-rhythm suppression index, which was assessed in three experimental conditions: MI, MI + FES, and FES. Our findings shows that motor imagery enhanced by FES leads to a more prominent μ-rhythm suppression. Obtained results suggest a direct effect of peripheral electrical stimulation on cortical activation, especially when combined with motor imagery. Conclusion This research sheds light on the potential benefits of integrating FES into motor imagery-based interventions to enhance cortical activation and holds promise for applications in neurorehabilitation.
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Affiliation(s)
- Lev Yakovlev
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Nikolay Syrov
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Alexander Kaplan
- Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia
- Laboratory for Neurophysiology and Neuro-Computer Interfaces, Lomonosov Moscow State University, Moscow, Russia
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25
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Sawai S, Fujikawa S, Ohsumi C, Ushio R, Tamura K, Yamamoto R, Kai Y, Murata S, Shima K, Nakano H. Effects of neurofeedback on standing postural control task with combined imagined and executed movements. Front Neurosci 2023; 17:1199398. [PMID: 37483338 PMCID: PMC10360181 DOI: 10.3389/fnins.2023.1199398] [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: 04/03/2023] [Accepted: 06/16/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction Motor imagery (MI) is a method of imagining movement without actual movement, and its use in combination with motor execution (ME) enhances the effects of motor learning. Neurofeedback (NFB) is another method that promotes the effects of MI. This study aimed to investigate the effects of NFB on combined MI and ME (MIME) training in a standing postural control task. Methods Sixteen participants were randomly divided into MIME and MIME + NFB groups and performed 10 trials of a postural control task on an unstable board, with nine trials of MI in between. Electroencephalogram was assessed during MI, and the MIME + NFB group received neurofeedback on the degree of MI via auditory stimulation. A postural control task using an unstable board was performed before and after the MIME task, during which postural instability was evaluated. Results Postural instability was reduced after the MIME task in both groups. In addition, the root mean square, which indicates the sway of the unstable board, was significantly reduced in the MIME + NFB group compared to that in the MIME group. Conclusion Our results indicate that MIME training is effective for motor learning of standing postural control. Furthermore, when MI and ME are combined, the feedback on the degree of MI enhances the learning effect.
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Affiliation(s)
- Shun Sawai
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Rehabilitation, Kyoto Kuno Hospital, Kyoto, Japan
| | - Shoya Fujikawa
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Chihiro Ohsumi
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Ryu Ushio
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Kosuke Tamura
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Ryosuke Yamamoto
- Department of Rehabilitation, Tesseikai Neurosurgical Hospital, Shijonawate, Japan
| | - Yoshihiro Kai
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Shin Murata
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Keisuke Shima
- Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan
| | - Hideki Nakano
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
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26
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Hunter SW, Motala A, Cronin AE, Bartha R, Viana R, Payne MW. Cortical activation during imagined walking for people with lower limb loss: a pilot study. Front Hum Neurosci 2023; 17:1163526. [PMID: 37476004 PMCID: PMC10354232 DOI: 10.3389/fnhum.2023.1163526] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023] Open
Abstract
Each year in Canada, a substantial number of adults undergo limb amputation, with lower limb amputation (LLA) the most prevalent. Enhancing walking ability is crucial for optimizing rehabilitation outcomes, promoting participation, and facilitating community reintegration. Overcoming challenges during the acute post-amputation phase and sub-acute rehabilitation necessitates alternative approaches, such as motor imagery and mental practice, to maximize rehabilitation success. However, the current evidence on activation patterns using motor imagery in individuals with LLA is limited. The primary objective was to assess the feasibility of observing brain activation during imagined walking in individuals with LLA utilizing 3T functional magnetic resonance imaging (fMRI). Eight individuals with LLA and 11 control subjects participated. Consistent with representations of the lower limbs, both control and amputee groups demonstrated bilateral activation in the medial surface of the primary motor and somatosensory cortices. However, individuals with lower limb amputations exhibited significantly greater activation during imagined walking, particularly in frontal regions and the medial surface of the primary motor and supplementary motor cortices. Furthermore, the volume of activation in the bilateral primary motor cortices was higher for participants with amputations compared to controls. The protocol developed in this study establishes a foundation for evaluating the effects of a gait training program that incorporates mental imagery alongside conventional rehabilitation practices, in contrast to standard care alone. This pilot investigation holds potential to enhance our understanding of brain plasticity in individuals with LLA and pave the way for more effective rehabilitation strategies to optimize functional recovery and community reintegration.
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Affiliation(s)
- Susan W. Hunter
- School of Physical Therapy, The University of Western Ontario, London, ON, Canada
| | - Aysha Motala
- School of Psychology, The University of Stirling, Stirling, Scotland
| | - Alicia E. Cronin
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, ON, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, ON, Canada
| | - Ricardo Viana
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
| | - Michael W. Payne
- Department of Physical Medicine and Rehabilitation, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, ON, Canada
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27
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Kurkin S, Gordleeva S, Savosenkov A, Grigorev N, Smirnov N, Grubov VV, Udoratina A, Maksimenko V, Kazantsev V, Hramov AE. Transcranial Magnetic Stimulation of the Dorsolateral Prefrontal Cortex Increases Posterior Theta Rhythm and Reduces Latency of Motor Imagery. SENSORS (BASEL, SWITZERLAND) 2023; 23:4661. [PMID: 37430576 DOI: 10.3390/s23104661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 07/12/2023]
Abstract
Experiments show activation of the left dorsolateral prefrontal cortex (DLPFC) in motor imagery (MI) tasks, but its functional role requires further investigation. Here, we address this issue by applying repetitive transcranial magnetic stimulation (rTMS) to the left DLPFC and evaluating its effect on brain activity and the latency of MI response. This is a randomized, sham-controlled EEG study. Participants were randomly assigned to receive sham (15 subjects) or real high-frequency rTMS (15 subjects). We performed EEG sensor-level, source-level, and connectivity analyses to evaluate the rTMS effects. We revealed that excitatory stimulation of the left DLPFC increases theta-band power in the right precuneus (PrecuneusR) via the functional connectivity between them. The precuneus theta-band power negatively correlates with the latency of the MI response, so the rTMS speeds up the responses in 50% of participants. We suppose that posterior theta-band power reflects attention modulation of sensory processing; therefore, high power may indicate attentive processing and cause faster responses.
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Affiliation(s)
- Semen Kurkin
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
| | - Susanna Gordleeva
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Andrey Savosenkov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Nikita Grigorev
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Nikita Smirnov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
| | - Vadim V Grubov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
| | - Anna Udoratina
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Vladimir Maksimenko
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Victor Kazantsev
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
| | - Alexander E Hramov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
- Neurodynamics and Cognitive Technology Laboratory, Lobachevsky State University of Nizhny Novgorod, 603105 Nizhniy Novgorod, Russia
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28
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Kim E, Lee WH, Seo HG, Nam HS, Kim YJ, Kang MG, Bang MS, Kim S, Oh BM. Deciphering Functional Connectivity Differences Between Motor Imagery and Execution of Target-Oriented Grasping. Brain Topogr 2023; 36:433-446. [PMID: 37060497 DOI: 10.1007/s10548-023-00956-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 03/20/2023] [Indexed: 04/16/2023]
Abstract
This study aimed to delineate overlapping and distinctive functional connectivity in visual motor imagery, kinesthetic motor imagery, and motor execution of target-oriented grasping action of the right hand. Functional magnetic resonance imaging data were obtained from 18 right-handed healthy individuals during each condition. Seed-based connectivity and multi-voxel pattern analyses were employed after selecting seed regions with the left primary motor cortex and supplementary motor area. There was equivalent seed-based connectivity during the three conditions in the bilateral frontoparietal and temporal areas. When the seed region was the left primary motor cortex, increased connectivity was observed in the left cuneus and superior frontal area during visual and kinesthetic motor imageries, respectively, compared with that during motor execution. Multi-voxel pattern analyses revealed that each condition was differentiated by spatially distributed connectivity patterns of the left primary motor cortex within the right cerebellum VI, cerebellum crus II, and left lingual area. When the seed region was the left supplementary motor area, the connectivity patterns within the right putamen, thalamus, cerebellar areas IV-V, and left superior parietal lobule were significantly classified above chance level across the three conditions. The present findings improve our understanding of the spatial representation of functional connectivity and its specific patterns among motor imagery and motor execution. The strength and fine-grained connectivity patterns of the brain areas can discriminate between motor imagery and motor execution.
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Affiliation(s)
- Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Woo Hyung Lee
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Han Gil Seo
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung Seok Nam
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoon Jae Kim
- Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Republic of Korea
| | - Min-Gu Kang
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Moon Suk Bang
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea
| | - Sungwan Kim
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Institute of Bioengineering, Seoul National University, Seoul, Republic of Korea.
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea.
- Institute on aging, Seoul National University, Seoul, Republic of Korea.
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29
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Putzolu M, Samogin J, Bonassi G, Cosentino C, Mezzarobba S, Botta A, Avanzino L, Mantini D, Vato A, Pelosin E. Are Motor Imagery Ability scores related to cortical activity during gait imagery? RESEARCH SQUARE 2023:rs.3.rs-2777321. [PMID: 37090654 PMCID: PMC10120778 DOI: 10.21203/rs.3.rs-2777321/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Motor imagery (MI) is the mental execution of actions without overt movements that depends on the ability to imagine. We explored whether this ability could be related to the cortical activity of the brain areas involved in the MI network. To this goal, brain activity was recorded using high-density electroencephalography (hdEEG) in nineteen healthy adults while visually imagining walking on a straight path. We extracted Event-Related Desynchronizations (ERDs) in the β band, and we measured MI ability via (i) the Kinesthetic and Visual Imagery Questionnaire (KVIQ), (ii) the Vividness of Movement Imagery Questionnaire-2 (VMIQ), and (iii) the Imagery Ability (IA) score. We then used Pearson's and Spearman's coefficients to correlate MI ability scores and average ERD power (avgERD). VMIQ was positively correlated with avgERD of frontal and cingulate areas, whereas IA SCORE was positively correlated with avgERD of left inferior frontal and superior temporal regions. Stronger activation of the MI network was related to better scores of MI ability evaluations, supporting the importance of testing MI ability during MI protocols. This result will help to understand MI mechanisms and develop personalized MI treatments for patients with neurological dysfunctions.
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30
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Binks JA, Emerson JR, Scott MW, Wilson C, van Schaik P, Eaves DL. Enhancing upper-limb neurorehabilitation in chronic stroke survivors using combined action observation and motor imagery therapy. Front Neurol 2023; 14:1097422. [PMID: 36937513 PMCID: PMC10017546 DOI: 10.3389/fneur.2023.1097422] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/06/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction For people who have had a stroke, recovering upper-limb function is a barrier to independence. When movement is difficult, mental practice can be used to complement physical therapy. In this within-participants study we investigated the effects of combined action observation and motor imagery (AO + MI) therapy on upper-limb recovery in chronic stroke survivors. Methods A Graeco-Latin Square design was used to counterbalance four mental practice conditions (AO + MI, AO, MI, Control) across four cup-stacking tasks of increasing complexity. Once a week, for five consecutive weeks, participants (n = 10) performed 16 mental practice trials under each condition. Each trial displayed a 1st person perspective of a cup-stacking task performed by an experienced model. For AO, participants watched each video and responded to an occasional color cue. For MI, participants imagined the effort and sensation of performing the action; cued by a series of still-images. For combined AO + MI, participants observed a video of the action while they simultaneously imagined performing the same action in real-time. At three time points (baseline; post-test; two-week retention test) participants physically executed the three mentally practiced cup-stacking tasks, plus a fourth unpractised sequence (Control), as quickly and accurately as possible. Results Mean movement execution times were significantly reduced overall in the post-test and the retention test compared to baseline. At retention, movement execution times were significantly shorter for combined AO + MI compared to both MI and the Control. Individual participants reported clinically important changes in quality of life (Stroke Impact Scale) and positive qualitative experiences of AO + MI (social validation). Discussion These results indicate that when physical practice is unsuitable, combined AO + MI therapy could offer an effective adjunct for neurorehabilitation in chronic stroke survivors.
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Affiliation(s)
- Jack Aaron Binks
- Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, United Kingdom
| | - Jonathan Reyes Emerson
- School of Health and Life Sciences, Allied Health Professions, Teesside University, Middlesbrough, United Kingdom
| | | | - Christopher Wilson
- Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, United Kingdom
| | - Paul van Schaik
- Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Middlesbrough, United Kingdom
| | - Daniel Lloyd Eaves
- Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
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31
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Dahm SF, Rieger M. Time course of learning sequence representations in action imagery practice. Hum Mov Sci 2023; 87:103050. [PMID: 36549085 PMCID: PMC7614144 DOI: 10.1016/j.humov.2022.103050] [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: 04/22/2022] [Revised: 12/09/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
Action imagery practice (AIP) is effective to improve motor performance in a variety of tasks, though it is often less effective than action execution practice (AEP). In sequence learning, AIP and AEP result in the acquisition of effector-independent representations. However, it is unresolved whether effector-dependent representations can be acquired in AIP. In the present study, we investigated the acquisition of effector-independent representations and effector-dependent representations in AEP and AIP in an implicit sequence learning task (a visual serial-reaction-time task, involving a twelve-element sequence). Participants performed six sessions, each starting with tests. A practice sequence, a mirror sequence, and a different sequence were tested with the practice and transfer hand. In the first four sessions, after the tests, two groups performed either AIP (N = 50) or AEP (N = 54). Improvement in the different sequence indicated sequence-unspecific learning in both AEP and AIP. Importantly, reaction times of the practice hand became shorter in the practice sequence than in the other sequences, indicating implicit sequence learning in both, AEP and AIP. This effect was stronger in the practice hand than in the transfer hand, indicating effector-dependent sequence representations in both AEP and AIP. However, effector-dependent sequence representations were stronger in AEP than in AIP. No significant differences between groups were observed in the transfer hand, although effector-independent sequence representations were observed in AEP only. In conclusion, AIP promotes not only sequence-unspecific stimulus-response coupling and anticipations of the subsequent stimuli, but also anticipations of the subsequent responses.
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Affiliation(s)
- Stephan F. Dahm
- Institute of Psychology, Department of Psychology and Sports Medicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tyrol, Austria,Department of Psychology, Faculty of Psychology and Sports Sciences, University of Innsbruck, Austria,Corresponding author at: Division of General Psychology, Department of Psychology, Faculty of Psychology and Sports Sciences, University of Innsbruck, Universitätsstraße 5-7, Room 2S14, 6020 Innsbruck, Austria. (S.F. Dahm)
| | - Martina Rieger
- Institute of Psychology, Department of Psychology and Sports Medicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tyrol, Austria
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32
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Bayram M, Palluel-Germain R, Lebon F, Durand E, Harquel S, Perrone-Bertolotti M. Motor imagery training to improve language processing: What are the arguments? Front Hum Neurosci 2023; 17:982849. [PMID: 36816506 PMCID: PMC9929469 DOI: 10.3389/fnhum.2023.982849] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
Studies showed that motor expertise was found to induce improvement in language processing. Grounded and situated approaches attributed this effect to an underlying automatic simulation of the motor experience elicited by action words, similar to motor imagery (MI), and suggest shared representations of action conceptualization. Interestingly, recent results also suggest that the mental simulation of action by MI training induces motor-system modifications and improves motor performance. Consequently, we hypothesize that, since MI training can induce motor-system modifications, it could be used to reinforce the functional connections between motor and language system, and could thus lead to improved language performance. Here, we explore these potential interactions by reviewing recent fundamental and clinical literature in the action-language and MI domains. We suggested that exploiting the link between action language and MI could open new avenues for complementary language improvement programs. We summarize the current literature to evaluate the rationale behind this novel training and to explore the mechanisms underlying MI and its impact on language performance.
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Affiliation(s)
- Mariam Bayram
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | | | - Florent Lebon
- Laboratoire INSERM U1093 Cognition, Action, et Plasticité Sensorimotrice, Université de Bourgogne, Faculté des Sciences du Sport (UFR STAPS), Dijon, France,Institut Universitaire de France (IUF), Paris, France
| | - Edith Durand
- Département d’Orthophonie, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Sylvain Harquel
- Defitech Chair of Clinical Neuroengineering, Center for Neuroprosthetics (CNP) and Brain Mind Institute (BMI), École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
| | - Marcela Perrone-Bertolotti
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France,Institut Universitaire de France (IUF), Paris, France,*Correspondence: Marcela Perrone-Bertolotti,
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Dekleva BM, Chowdhury RH, Batista AP, Chase SM, Yu BM, Boninger ML, Collinger JL. Motor cortex retains and reorients neural dynamics during motor imagery. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.17.524394. [PMID: 36711675 PMCID: PMC9882181 DOI: 10.1101/2023.01.17.524394] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The most prominent role of motor cortex is generating patterns of neural activity that lead to movement, but it is also active when we simply imagine movements in the absence of actual motor output. Despite decades of behavioral and imaging studies, it is unknown how the specific activity patterns and temporal dynamics within motor cortex during covert motor imagery relate to those during motor execution. Here we recorded intracortical activity from the motor cortex of two people with residual wrist function following incomplete spinal cord injury as they performed both actual and imagined isometric wrist extensions. We found that we could decompose the population-level activity into orthogonal subspaces such that one set of components was similarly active during both action and imagery, and others were only active during a single task typeâ€"action or imagery. Although they inhabited orthogonal neural dimensions, the action-unique and imagery-unique subspaces contained a strikingly similar set of dynamical features. Our results suggest that during motor imagery, motor cortex maintains the same overall population dynamics as during execution by recreating the missing components related to motor output and/or feedback within a unique imagery-only subspace.
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Henschke JU, Pakan JMP. Engaging distributed cortical and cerebellar networks through motor execution, observation, and imagery. Front Syst Neurosci 2023; 17:1165307. [PMID: 37114187 PMCID: PMC10126249 DOI: 10.3389/fnsys.2023.1165307] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
When we interact with the environment around us, we are sometimes active participants, making directed physical motor movements and other times only mentally engaging with our environment, taking in sensory information and internally planning our next move without directed physical movement. Traditionally, cortical motor regions and key subcortical structures such as the cerebellum have been tightly linked to motor initiation, coordination, and directed motor behavior. However, recent neuroimaging studies have noted the activation of the cerebellum and wider cortical networks specifically during various forms of motor processing, including the observations of actions and mental rehearsal of movements through motor imagery. This phenomenon of cognitive engagement of traditional motor networks raises the question of how these brain regions are involved in the initiation of movement without physical motor output. Here, we will review evidence for distributed brain network activation during motor execution, observation, and imagery in human neuroimaging studies as well as the potential for cerebellar involvement specifically in motor-related cognition. Converging evidence suggests that a common global brain network is involved in both movement execution and motor observation or imagery, with specific task-dependent shifts in these global activation patterns. We will further discuss underlying cross-species anatomical support for these cognitive motor-related functions as well as the role of cerebrocerebellar communication during action observation and motor imagery.
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Affiliation(s)
- Julia U. Henschke
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | - Janelle M. P. Pakan
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Universitätsplatz, Magdeburg, Germany
- *Correspondence: Janelle M. P. Pakan,
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Sawai S, Murata S, Fujikawa S, Yamamoto R, Shima K, Nakano H. Effects of neurofeedback training combined with transcranial direct current stimulation on motor imagery: A randomized controlled trial. Front Neurosci 2023; 17:1148336. [PMID: 36937688 PMCID: PMC10017549 DOI: 10.3389/fnins.2023.1148336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 02/16/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction Neurofeedback (NFB) training and transcranial direct current stimulation (tDCS) have been shown to individually improve motor imagery (MI) abilities. However, the effect of combining both of them with MI has not been verified. Therefore, the aim of this study was to examine the effect of applying tDCS directly before MI with NFB. Methods Participants were divided into an NFB group (n = 10) that performed MI with NFB and an NFB + tDCS group (n = 10) that received tDCS for 10 min before MI with NFB. Both groups performed 60 MI trials with NFB. The MI task was performed 20 times without NFB before and after training, and μ-event-related desynchronization (ERD) and vividness MI were evaluated. Results μ-ERD increased significantly in the NFB + tDCS group compared to the NFB group. MI vividness significantly increased before and after training. Discussion Transcranial direct current stimulation and NFB modulate different processes with respect to MI ability improvement; hence, their combination might further improve MI performance. The results of this study indicate that the combination of NFB and tDCS for MI is more effective in improving MI abilities than applying them individually.
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Affiliation(s)
- Shun Sawai
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Rehabilitation, Kyoto Kuno Hospital, Kyoto, Japan
| | - Shin Murata
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Shoya Fujikawa
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Ryosuke Yamamoto
- Department of Rehabilitation, Tesseikai Neurosurgical Hospital, Shijonawate, Japan
| | - Keisuke Shima
- Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan
| | - Hideki Nakano
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- *Correspondence: Hideki Nakano,
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Sequence representations after action-imagery practice of one-finger movements are effector-independent. PSYCHOLOGICAL RESEARCH 2023; 87:210-225. [PMID: 35113208 PMCID: PMC9873765 DOI: 10.1007/s00426-022-01645-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 01/16/2022] [Indexed: 01/31/2023]
Abstract
Action-imagery practice (AIP) is often less effective than action-execution practice (AEP). We investigated whether this is due to a different time course of learning of different types of sequence representations in AIP and AEP. Participants learned to sequentially move with one finger to ten targets, which were visible the whole time. All six sessions started with a test. In the first four sessions, participants performed AIP, AEP, or control-practice (CP). Tests involved the practice sequence, a mirror sequence, and a different sequence, which were performed both with the practice hand and the other (transfer) hand. In AIP and AEP, movement times (MTs) in both hands were significantly shorter in the practice sequence than in the other sequences, indicating sequence-specific learning. In the transfer hand, this indicates effector-independent visual-spatial representations. The time course of the acquisition of effector-independent visual-spatial representations did not significantly differ between AEP and AIP. In AEP (but not in AIP), MTs in the practice sequence were significantly shorter in the practice hand than in the transfer hand, indicating effector-dependent representations. In conclusion, effector-dependent representations were not acquired after extensive AIP, which may be due to the lack of actual feedback. Therefore, AIP may replace AEP to acquire effector-independent visual-spatial representations, but not to acquire effector-dependent representations.
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Hurst AJ, Boe SG. Imagining the way forward: A review of contemporary motor imagery theory. Front Hum Neurosci 2022; 16:1033493. [PMID: 36618997 PMCID: PMC9815148 DOI: 10.3389/fnhum.2022.1033493] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
Over the past few decades, researchers have become interested in the mechanisms behind motor imagery (i.e., the mental rehearsal of action). During this time several theories of motor imagery have been proposed, offering diverging accounts of the processes responsible for motor imagery and its neural overlap with movement. In this review, we summarize the core claims of five contemporary theories of motor imagery: motor simulation theory, motor emulation theory, the motor-cognitive model, the perceptual-cognitive model, and the effects imagery model. Afterwards, we identify the key testable differences between them as well as their various points of overlap. Finally, we discuss potential future directions for theories of motor imagery.
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Affiliation(s)
- Austin J. Hurst
- Laboratory for Brain Recovery and Function, School of Physiotherapy, Dalhousie University, Halifax, NS, Canada,Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Shaun G. Boe
- Laboratory for Brain Recovery and Function, School of Physiotherapy, Dalhousie University, Halifax, NS, Canada,Faculty of Health, Dalhousie University, Halifax, NS, Canada,Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada,School of Physiotherapy, Dalhousie University, Halifax, NS, Canada,School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada,*Correspondence: Shaun G. Boe
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Van Caenegem EE, Hamoline G, Waltzing BM, Hardwick RM. Consistent under-reporting of task details in motor imagery research. Neuropsychologia 2022; 177:108425. [PMID: 36400244 DOI: 10.1016/j.neuropsychologia.2022.108425] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/15/2022] [Accepted: 11/15/2022] [Indexed: 11/17/2022]
Abstract
Motor Imagery is a subject of longstanding scientific interest. However, critical details of motor imagery protocols are not always reported in full, hampering direct replication and translation of this work. The present review provides a quantitative assessment of the prevalence of under-reporting in the recent motor imagery literature. Publications from the years 2018-2020 were examined, with 695 meeting the inclusion criteria for further examination. Of these studies, 64% (445/695) did not provide information about the modality of motor imagery (i.e., kinesthetic, visual, or a mixture of both) used in the study. When visual or mixed imagery was specified, the details of the visual perspective to be used (i.e., first person, third person, or combinations of both) were not reported in 24% (25/103) of studies. Further analysis indicated that studies using questionnaires to assess motor imagery reported more information than those that did not. We conclude that studies using motor imagery consistently under-report key details of their protocols, which poses a significant problem for understanding, replicating, and translating motor imagery effects.
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Affiliation(s)
- Elise E Van Caenegem
- Institute of Neurosciences, UC Louvain, Belgium Avenue Mounier 54, 1200, Bruxelles, Belgium.
| | - Gautier Hamoline
- Institute of Neurosciences, UC Louvain, Belgium Avenue Mounier 54, 1200, Bruxelles, Belgium
| | - Baptiste M Waltzing
- Institute of Neurosciences, UC Louvain, Belgium Avenue Mounier 54, 1200, Bruxelles, Belgium
| | - Robert M Hardwick
- Institute of Neurosciences, UC Louvain, Belgium Avenue Mounier 54, 1200, Bruxelles, Belgium
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Repetitive Peripheral Magnetic Stimulation Combined with Motor Imagery Changes Resting-State EEG Activity: A Randomized Controlled Trial. Brain Sci 2022; 12:brainsci12111548. [DOI: 10.3390/brainsci12111548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/12/2022] [Accepted: 11/14/2022] [Indexed: 11/16/2022] Open
Abstract
Repetitive peripheral magnetic stimulation is a novel non-invasive technique for applying repetitive magnetic stimulation to the peripheral nerves and muscles. Contrarily, a person imagines that he/she is exercising during motor imagery. Resting-state electroencephalography can evaluate the ability of motor imagery; however, the effects of motor imagery and repetitive peripheral magnetic stimulation on resting-state electroencephalography are unknown. We examined the effects of motor imagery and repetitive peripheral magnetic stimulation on the vividness of motor imagery and resting-state electroencephalography. The participants were divided into a motor imagery group and motor imagery and repetitive peripheral magnetic stimulation group. They performed 60 motor imagery tasks involving wrist dorsiflexion movement. In the motor imagery and repetitive peripheral magnetic stimulation group, we applied repetitive peripheral magnetic stimulation to the extensor carpi radialis longus muscle during motor imagery. We measured the vividness of motor imagery and resting-state electroencephalography before and after the task. Both groups displayed a significant increase in the vividness of motor imagery. The motor imagery and repetitive peripheral magnetic stimulation group exhibited increased β activity in the anterior cingulate cortex by source localization for electroencephalography. Hence, combined motor imagery and repetitive peripheral magnetic stimulation changes the resting-state electroencephalography activity and may promote motor imagery.
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Functional MRI in Radiology—A Personal Review. Healthcare (Basel) 2022; 10:healthcare10091646. [PMID: 36141258 PMCID: PMC9498519 DOI: 10.3390/healthcare10091646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
We, here, provide a personal review article on the development of a functional MRI in the radiology departments of two German university medicine units. Although the international community for human brain mapping has met since 1995, the researchers fascinated by human brain function are still young and innovative. However, the impact of functional magnetic resonance imaging (fMRI) on prognosis and treatment decisions is restricted, even though standardized methods have been developed. The tradeoff between the groundbreaking studies on brain function and the attempt to provide reliable biomarkers for clinical decisions is large. By describing some historical developments in the field of fMRI, from a personal view, the rise of this method in clinical neuroscience during the last 25 years might be understandable. We aim to provide some background for (a) the historical developments of fMRI, (b) the establishment of two research units for fMRI in the departments of radiology in Germany, and (c) a description of some contributions within the selected fields of systems neuroscience, clinical neurology, and behavioral psychology.
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Son SM, Yun SH, Kwon JW. Motor Imagery Combined With Physical Training Improves Response Inhibition in the Stop Signal Task. Front Psychol 2022; 13:905579. [PMID: 35795413 PMCID: PMC9251501 DOI: 10.3389/fpsyg.2022.905579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMotor imagery training has a similar effect to that of physical training on motor performance. The objective of this study was to investigate the short-term effectiveness of motor imagery training on response inhibition using the stop signal task (SST).MethodsParticipants were divided into a physical training group (PT, n = 17), a motor imagery training group (MIT, n = 17), and a motor imagery combined with physical training group (MIPT, n = 17). All participants performed 10 SST training sessions over 5 days. Both stop signal reaction time (SSRT) and non-signal reaction time (NSRT) were measured before and after SST training.ResultsThere were significant interaction (time × group) and time effects, although the group effect was not statistically significant. Bonferroni post hoc analysis showed that MIPT group revealed a significantly greater change in SSRT than PT and MIT groups, while there was no significant difference between PT and MIT groups. SSRT significantly decreased after training in all groups. In NSRT, there was a significant effect of time, but there was no significant interaction effect (time × group) or group effect.ConclusionResponse inhibition could be enhanced via training, and it was most effective when motor imagery and physical training were combined. We demonstrate that motor imagery training significantly improves response inhibition and should be accompanied by physical training when performing SST.
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Affiliation(s)
- Sung Min Son
- Department of Physical Therapy, College of Health Science, Cheongju University, Cheongju, South Korea
| | - Seong Ho Yun
- Department of Public Health Sciences, Graduate School, Dankook University, Cheonan, South Korea
| | - Jung Won Kwon
- Department of Physical Therapy, College of Health and Welfare Sciences, Cheonan, South Korea
- *Correspondence: Jung Won Kwon,
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Vittersø AD, Halicka M, Buckingham G, Proulx MJ, Bultitude JH. The sensorimotor theory of pathological pain revisited. Neurosci Biobehav Rev 2022; 139:104735. [PMID: 35705110 DOI: 10.1016/j.neubiorev.2022.104735] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/13/2022] [Accepted: 06/07/2022] [Indexed: 01/31/2023]
Abstract
Harris (1999) proposed that pain can arise in the absence of tissue damage because changes in the cortical representation of the painful body part lead to incongruences between motor intention and sensory feedback. This idea, subsequently termed the sensorimotor theory of pain, has formed the basis for novel treatments for pathological pain. Here we review the evidence that people with pathological pain have changes to processes contributing to sensorimotor function: motor function, sensory feedback, cognitive representations of the body and its surrounding space, multisensory processing, and sensorimotor integration. Changes to sensorimotor processing are most evident in the form of motor deficits, sensory changes, and body representations distortions, and for Complex Regional Pain Syndrome (CRPS), fibromyalgia, and low back pain. Many sensorimotor changes are related to cortical processing, pain, and other clinical characteristics. However, there is very limited evidence that changes in sensorimotor processing actually lead to pain. We therefore propose that the theory is more appropriate for understanding why pain persists rather than how it arises.
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Affiliation(s)
- Axel D Vittersø
- Centre for Pain Research, University of Bath, Bath, Somerset, United Kingdom; Department of Psychology, University of Bath, Bath, Somerset, United Kingdom; Department of Sport & Health Sciences, University of Exeter, Exeter, Devon, United Kingdom; Department of Psychology, Oslo New University College, Oslo, Norway.
| | - Monika Halicka
- Centre for Pain Research, University of Bath, Bath, Somerset, United Kingdom; Department of Psychology, University of Bath, Bath, Somerset, United Kingdom
| | - Gavin Buckingham
- Department of Sport & Health Sciences, University of Exeter, Exeter, Devon, United Kingdom
| | - Michael J Proulx
- Department of Psychology, University of Bath, Bath, Somerset, United Kingdom; Centre for Real and Virtual Environments Augmentation Labs, Department of Computer Science, University of Bath, Bath, Somerset, United Kingdom
| | - Janet H Bultitude
- Centre for Pain Research, University of Bath, Bath, Somerset, United Kingdom; Department of Psychology, University of Bath, Bath, Somerset, United Kingdom
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Wriessnegger SC, Unterhauser K, Bauernfeind G. Limb Preference and Skill Level Dependence During the Imagery of a Whole-Body Movement: A Functional Near Infrared Spectroscopy Study. Front Hum Neurosci 2022; 16:900834. [PMID: 35734351 PMCID: PMC9207184 DOI: 10.3389/fnhum.2022.900834] [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: 03/21/2022] [Accepted: 05/09/2022] [Indexed: 12/01/2022] Open
Abstract
In the past years motor imagery (MI) turned out to be also an innovative and effective tool for motor learning and improvement of sports performance. Whereas many studies investigating sports MI focusing on upper or lower limbs involvement, knowledge about involved neural structures during whole-body movements is still limited. In the present study we investigated brain activity of climbers during a kinesthetic motor imagery (KMI) climbing task with different difficulties by means of functional near infrared spectroscopy (fNIRS). Twenty healthy participants were split into two groups according to their climbing skill level. The aim of the current study is investigating neural correlates of a whole-body sports MI task with an additional focus on skill level dependency. Climbing experts and non-experts imagined bouldering an "easy" and "difficult" route from a first-person perspective while hemodynamic responses were recorded simultaneously. We found significant differences between the two climbing routes, easy and difficult within participants as well as between the two groups of different climbing skill levels. Overall beginners showed increased hemodynamic responses compared to experts in all defined regions of interest (ROI) supporting the claim of the neural efficiency hypothesis (NEH). Even though climbing is a complex, coordinated movement of upper and lower limbs we found a stronger activation focus of the upper limbs, especially of the dominant hand-area, while the foot area seems to be deactivated or inhibited simultaneously. Summarizing, these findings provide novel insights into brain activation during the imagery of a whole-body movement and its relation to climbing expertise.
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Affiliation(s)
| | - Kris Unterhauser
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
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Motor Imagery: How to Assess, Improve Its Performance, and Apply It for Psychosis Diagnostics. Diagnostics (Basel) 2022; 12:diagnostics12040949. [PMID: 35453997 PMCID: PMC9025310 DOI: 10.3390/diagnostics12040949] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/03/2022] [Accepted: 04/07/2022] [Indexed: 11/16/2022] Open
Abstract
With this review, we summarize the state-of-the-art of scientific studies in the field of motor imagery (MI) and motor execution (ME). We composed the brain map and description that correlate different brain areas with the type of movements it is responsible for. That gives a more complete and systematic picture of human brain functionality in the case of ME and MI. We systematized the most popular methods for assessing the quality of MI performance and discussed their advantages and disadvantages. We also reviewed the main directions for the use of transcranial magnetic stimulation (TMS) in MI research and considered the principal effects of TMS on MI performance. In addition, we discuss the main applications of MI, emphasizing its use in the diagnostics of various neurodegenerative disorders and psychoses. Finally, we discuss the research gap and possible improvements for further research in the field.
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Xiong F, Liao X, Xiao J, Bai X, Huang J, Zhang B, Li F, Li P. Emerging Limb Rehabilitation Therapy After Post-stroke Motor Recovery. Front Aging Neurosci 2022; 14:863379. [PMID: 35401147 PMCID: PMC8984121 DOI: 10.3389/fnagi.2022.863379] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
Stroke, including hemorrhagic and ischemic stroke, refers to the blood supply disorder in the local brain tissue for various reasons (aneurysm, occlusion, etc.). It leads to regional brain circulation imbalance, neurological complications, limb motor dysfunction, aphasia, and depression. As the second-leading cause of death worldwide, stroke poses a significant threat to human life characterized by high mortality, disability, and recurrence. Therefore, the clinician has to care about the symptoms of stroke patients in the acute stage and formulate an effective postoperative rehabilitation plan to facilitate the recovery in patients. We summarize a novel application and update of the rehabilitation therapy in limb motor rehabilitation of stroke patients to provide a potential future stroke rehabilitation strategy.
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Affiliation(s)
- Fei Xiong
- Department of Operation Room, The First People’s Hospital of Jiande, Hangzhou, China
| | - Xin Liao
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Jie Xiao
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Xin Bai
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Jiaqi Huang
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Bi Zhang
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Fang Li
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
| | - Pengfei Li
- Department of Orthopedics, The First People’s Hospital of Jiande, Hangzhou, China
- *Correspondence: Pengfei Li,
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Image-Based Learning Using Gradient Class Activation Maps for Enhanced Physiological Interpretability of Motor Imagery Skills. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology. However, the substantial inter/intra variability of recorded data significantly influences individual skills on the achieved performance. This study explores the ability to distinguish between MI tasks and the interpretability of the brain’s ability to produce elicited mental responses with improved accuracy. We develop a Deep and Wide Convolutional Neuronal Network fed by a set of topoplots extracted from the multichannel EEG data. Further, we perform a visualization technique based on gradient-based class activation maps (namely, GradCam++) at different intervals along the MI paradigm timeline to account for intra-subject variability in neural responses over time. We also cluster the dynamic spatial representation of the extracted maps across the subject set to come to a deeper understanding of MI-BCI coordination skills. According to the results obtained from the evaluated GigaScience Database of motor-evoked potentials, the developed approach enhances the physiological explanation of motor imagery in aspects such as neural synchronization between rhythms, brain lateralization, and the ability to predict the MI onset responses and their evolution during training sessions.
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Grazia A, Wimmer M, Müller-Putz GR, Wriessnegger SC. Neural Suppression Elicited During Motor Imagery Following the Observation of Biological Motion From Point-Light Walker Stimuli. Front Hum Neurosci 2022; 15:788036. [PMID: 35069155 PMCID: PMC8779203 DOI: 10.3389/fnhum.2021.788036] [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: 10/01/2021] [Accepted: 12/10/2021] [Indexed: 11/26/2022] Open
Abstract
Introduction: Advantageous effects of biological motion (BM) detection, a low-perceptual mechanism that allows the rapid recognition and understanding of spatiotemporal characteristics of movement via salient kinematics information, can be amplified when combined with motor imagery (MI), i.e., the mental simulation of motor acts. According to Jeannerod's neurostimulation theory, asynchronous firing and reduction of mu and beta rhythm oscillations, referred to as suppression over the sensorimotor area, are sensitive to both MI and action observation (AO) of BM. Yet, not many studies investigated the use of BM stimuli using combined AO-MI tasks. In this study, we assessed the neural response in the form of event-related synchronization and desynchronization (ERD/S) patterns following the observation of point-light-walkers and concordant MI, as compared to MI alone. Methods: Twenty right-handed healthy participants accomplished the experimental task by observing BM stimuli and subsequently performing the same movement using kinesthetic MI (walking, cycling, and jumping conditions). We recorded an electroencephalogram (EEG) with 32 channels and performed time-frequency analysis on alpha (8-13 Hz) and beta (18-24 Hz) frequency bands during the MI task. A two-way repeated-measures ANOVA was performed to test statistical significance among conditions and electrodes of interest. Results: The results revealed significant ERD/S patterns in the alpha frequency band between conditions and electrode positions. Post hoc comparisons showed significant differences between condition 1 (walking) and condition 3 (jumping) over the left primary motor cortex. For the beta band, a significantly less difference in ERD patterns (p < 0.01) was detected only between condition 3 (jumping) and condition 4 (reference). Discussion: Our results confirmed that the observation of BM combined with MI elicits a neural suppression, although just in the case of jumping. This is in line with previous findings of AO and MI (AOMI) eliciting a neural suppression for simulated whole-body movements. In the last years, increasing evidence started to support the integration of AOMI training as an adjuvant neurorehabilitation tool in Parkinson's disease (PD). Conclusion: We concluded that using BM stimuli in AOMI training could be promising, as it promotes attention to kinematic features and imitative motor learning.
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Affiliation(s)
- Alice Grazia
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Rostock-Greifswald, Rostock, Germany
- Department of General Psychology, University of Padova, Padua, Italy
| | - Michael Wimmer
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
| | - Gernot R. Müller-Putz
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Selina C. Wriessnegger
- Institute of Neural Engineering, Graz University of Technology, Graz, Austria
- BioTechMed-Graz, Graz, Austria
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Leonov S, Polikanova I, Rasskazova E. Approbation of the Questionnaire of Imaginary Representations of Professional Activity of Athletes. EXPERIMENTAL PSYCHOLOGY (RUSSIA) 2022. [DOI: 10.17759/exppsy.2022150413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
<p>The aim of this work was to develop and test the questionnaire of imaginary representations of the professional activity of athletes. We have developed a questionnaire of 100 questions, including 9 parameters (subscales). The questionnaire was tested on 399 sportsmen, 48.4% of which were candidates for the master of sports, master of sports or international class master of sports. The statistical analysis showed a good agreement of these parameters (subscales), which was 0,61—0,89. Characteristic features of image representations (IR) were revealed for representatives of different sports. The results showed that in dynamic sports under conditions of uncertainty athletes more often note the IR of temporal, spatial, informational, energetic aspects of the sports situation, as well as the game intellect. In solitarysports athletes more often talk about motivational-personal aspects of representation, in group sports — about the representation of the social environment, which is explained by the specifics inherent in solitary and group sports activities. It is also shown that in dynamic sports under given conditions "peaks" of the profile are noted on the representation of technical-tactical, energy components and motivational-personal aspects. In static sports technical-tactical and motivational-personal aspects of representation come to the fore. Thus, the questionnaire of imaginary representations of professional activity of athletes can be used as a tool for diagnostics of peculiarities of imaginary representations in athletes.</p>
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Park S, Ha J, Kim DH, Kim L. Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users. Front Neurosci 2021; 15:732545. [PMID: 34803582 PMCID: PMC8602688 DOI: 10.3389/fnins.2021.732545] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/20/2021] [Indexed: 11/13/2022] Open
Abstract
The motor imagery (MI)-based brain-computer interface (BCI) is an intuitive interface that provides control over computer applications directly from brain activity. However, it has shown poor performance compared to other BCI systems such as P300 and SSVEP BCI. Thus, this study aimed to improve MI-BCI performance by training participants in MI with the help of sensory inputs from tangible objects (i.e., hard and rough balls), with a focus on poorly performing users. The proposed method is a hybrid of training and imagery, combining motor execution and somatosensory sensation from a ball-type stimulus. Fourteen healthy participants participated in the somatosensory-motor imagery (SMI) experiments (within-subject design) involving EEG data classification with a three-class system (signaling with left hand, right hand, or right foot). In the scenario of controlling a remote robot to move it to the target point, the participants performed MI when faced with a three-way intersection. The SMI condition had a better classification performance than did the MI condition, achieving a 68.88% classification performance averaged over all participants, which was 6.59% larger than that in the MI condition (p < 0.05). In poor performers, the classification performance in SMI was 10.73% larger than in the MI condition (62.18% vs. 51.45%). However, good performers showed a slight performance decrement (0.86%) in the SMI condition compared to the MI condition (80.93% vs. 81.79%). Combining the brain signals from the motor and somatosensory cortex, the proposed hybrid MI-BCI system demonstrated improved classification performance, this phenomenon was predominant in poor performers (eight out of nine subjects). Hybrid MI-BCI systems may significantly contribute to reducing the proportion of BCI-inefficiency users and closing the performance gap with other BCI systems.
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Affiliation(s)
- Sangin Park
- Center for Bionics, Korea Institute of Science and Technology, Seoul, South Korea
| | - Jihyeon Ha
- Center for Bionics, Korea Institute of Science and Technology, Seoul, South Korea
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Da-Hye Kim
- Center for Bionics, Korea Institute of Science and Technology, Seoul, South Korea
| | - Laehyun Kim
- Center for Bionics, Korea Institute of Science and Technology, Seoul, South Korea
- Department of HY-KIST Bio-Convergence, Hanyang University, Seoul, South Korea
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Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. SENSORS 2021; 21:s21155105. [PMID: 34372338 PMCID: PMC8347227 DOI: 10.3390/s21155105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 07/03/2021] [Accepted: 07/09/2021] [Indexed: 12/22/2022]
Abstract
Motor imagery (MI) promotes motor learning and encourages brain–computer interface systems that entail electroencephalogram (EEG) decoding. However, a long period of training is required to master brain rhythms’ self-regulation, resulting in users with MI inefficiency. We introduce a parameter-based approach of cross-subject transfer-learning to improve the performances of poor-performing individuals in MI-based BCI systems, pooling data from labeled EEG measurements and psychological questionnaires via kernel-embedding. To this end, a Deep and Wide neural network for MI classification is implemented to pre-train the network from the source domain. Then, the parameter layers are transferred to initialize the target network within a fine-tuning procedure to recompute the Multilayer Perceptron-based accuracy. To perform data-fusion combining categorical features with the real-valued features, we implement stepwise kernel-matching via Gaussian-embedding. Finally, the paired source–target sets are selected for evaluation purposes according to the inefficiency-based clustering by subjects to consider their influence on BCI motor skills, exploring two choosing strategies of the best-performing subjects (source space): single-subject and multiple-subjects. Validation results achieved for discriminant MI tasks demonstrate that the introduced Deep and Wide neural network presents competitive performance of accuracy even after the inclusion of questionnaire data.
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