1
|
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.
Collapse
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
| |
Collapse
|
2
|
Deng H, Li M, Zuo H, Zhou H, Qi E, Wu X, Xu G. Personalized motor imagery prediction model based on individual difference of ERP. J Neural Eng 2024; 21:016027. [PMID: 38359457 DOI: 10.1088/1741-2552/ad29d6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 02/15/2024] [Indexed: 02/17/2024]
Abstract
Objective. Motor imagery-based brain-computer interaction (MI-BCI) is a novel method of achieving human and external environment interaction that can assist individuals with motor disorders to rehabilitate. However, individual differences limit the utility of the MI-BCI. In this study, a personalized MI prediction model based on the individual difference of event-related potential (ERP) is proposed to solve the MI individual difference.Approach.A novel paradigm named action observation-based multi-delayed matching posture task evokes ERP during a delayed matching posture task phase by retrieving picture stimuli and videos, and generates MI electroencephalogram through action observation and autonomous imagery in an action observation-based motor imagery phase. Based on the correlation between the ERP and MI, a logistic regression-based personalized MI prediction model is built to predict each individual's suitable MI action. 32 subjects conducted the MI task with or without the help of the prediction model to select the MI action. Then classification accuracy of the MI task is used to evaluate the proposed model and three traditional MI methods.Main results.The personalized MI prediction model successfully predicts suitable action among 3 sets of daily actions. Under suitable MI action, the individual's ERP amplitude and event-related desynchronization (ERD) intensity are the largest, which helps to improve the accuracy by 14.25%.Significance.The personalized MI prediction model that uses the temporal ERP features to predict the classification accuracy of MI is feasible for improving the individual's MI-BCI performance, providing a new personalized solution for the individual difference and practical BCI application.
Collapse
Affiliation(s)
- Haodong Deng
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| | - Mengfan Li
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| | - Haoxin Zuo
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| | - Huihui Zhou
- Peng Cheng Laboratory, 518000 Shenzhen, People's Republic of China
| | - Enming Qi
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| | - Xue Wu
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| | - Guizhi Xu
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, 300132 Tianjin, People's Republic of China
- School of Health Sciences and Biomedical Engineering, Hebei University of Technology, 300132 Tianjin, People's Republic of China
- Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, People's Republic of China
- Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, 300132 Tianjin, People's Republic of China
| |
Collapse
|
3
|
Andreu-Sánchez C, Martín-Pascual MÁ, Gruart A, Delgado-García JM. Beta-band differences in primary motor cortex between media and non-media professionals when watching motor actions in movies. Front Neurosci 2023; 17:1204809. [PMID: 37434763 PMCID: PMC10330722 DOI: 10.3389/fnins.2023.1204809] [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: 04/12/2023] [Accepted: 06/12/2023] [Indexed: 07/13/2023] Open
Abstract
To watch a person doing an activity has an impact on the viewer. In fact, the film industry hinges on viewers looking at characters doing all sorts of narrative activities. From previous works, we know that media and non-media professionals perceive differently audiovisuals with cuts. Media professionals present a lower eye-blink rate, a lower activity in frontal and central cortical areas, and a more organized functional brain connectivity when watching audiovisual cuts. Here, we aimed to determine how audiovisuals with no formal interruptions such as cuts were perceived by media and non-media professionals. Moreover, we wondered how motor actions of characters in films would have an impact on the brain activities of the two groups of observers. We presented a narrative with 24 motor actions in a one-shot movie in wide shot with no cuts to 40 participants. We recorded the electroencephalographic (EEG) activity of the participants and analyzed it for the periods corresponding to the 24 motor actions (24 actions × 40 participants = 960 potential trials). In accordance with collected results, we observed differences in the EEG activity of the left primary motor cortex. A spectral analysis of recorded EEG traces indicated the presence of significant differences in the beta band between the two groups after the onset of the motor activities, while no such differences were found in the alpha band. We concluded that media expertise is related with the beta band identified in the EEG activity of the left primary motor cortex and the observation of motor actions in videos.
Collapse
Affiliation(s)
- Celia Andreu-Sánchez
- Neuro-Com Research Group, Department of Audiovisual Communication and Advertising, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Miguel Ángel Martín-Pascual
- Neuro-Com Research Group, Department of Audiovisual Communication and Advertising, Universitat Autònoma de Barcelona, Barcelona, Spain
- Research and Innovation, Institute of Spanish Public Television (RTVE), Corporación Radio Televisión Española, Barcelona, Spain
| | - Agnès Gruart
- Division of Neurosciences, University Pablo de Olavide, Sevilla, Spain
| | | |
Collapse
|
4
|
Shan X, Li J, Zeng L, Wang H, Yang T, Shao Y, Yu M. Motor Imagery-Related Changes of Neural Oscillation in Unilateral Lower Limb Amputation. Front Neurosci 2022; 16:799995. [PMID: 35663556 PMCID: PMC9160601 DOI: 10.3389/fnins.2022.799995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 05/02/2022] [Indexed: 12/02/2022] Open
Abstract
An amputation is known to seriously affect patient quality of life. This study aimed to investigate changes in neural activity in amputees during the postoperative period using neural electrophysiological techniques. In total, 14 patients with left lower limb amputation and 18 healthy participants were included in our study. All participants were required to perform motor imagery paradigm tasks while electroencephalogram (EEG) data were recorded. Data analysis results indicated that the beta frequency band showed significantly decreased oscillatory activity in motor imaging-related brain regions such as the frontal lobe and the precentral and postcentral gyri in amputees. Furthermore, the functional independent component analysis (fICA) value of neural oscillation negatively correlated with the C4 electrode power value of the motor imagery task in amputees (p < 0.05). Therefore, changes in neural oscillations and beta frequency band in motor imagery regions may be related to brain remodeling in amputees.
Collapse
Affiliation(s)
- Xinying Shan
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
| | - Jialu Li
- School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Lingjing Zeng
- School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Haiteng Wang
- School of Psychology, Beijing Sport University, Beijing, China
| | - Tianyi Yang
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
- *Correspondence: Yongcong Shao,
| | - Mengsun Yu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Mengsun Yu,
| |
Collapse
|
5
|
Arthrogenic Muscle Inhibition: Best Evidence, Mechanisms, and Theory for Treating the Unseen in Clinical Rehabilitation. J Sport Rehabil 2021; 31:717-735. [PMID: 34883466 DOI: 10.1123/jsr.2021-0139] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 08/06/2021] [Accepted: 09/07/2021] [Indexed: 11/18/2022]
Abstract
CONTEXT Arthrogenic muscle inhibition (AMI) impedes the recovery of muscle function following joint injury, and in a broader sense, acts as a limiting factor in rehabilitation if left untreated. Despite a call to treat the underlying pathophysiology of muscle dysfunction more than three decades ago, the continued widespread observations of post-traumatic muscular impairments are concerning, and suggest that interventions for AMI are not being successfully integrated into clinical practice. OBJECTIVES To highlight the clinical relevance of AMI, provide updated evidence for the use of clinically accessible therapeutic adjuncts to treat AMI, and discuss the known or theoretical mechanisms for these interventions. EVIDENCE ACQUISITION PubMed and Web of Science electronic databases were searched for articles that investigated the effectiveness or efficacy of interventions to treat outcomes relevant to AMI. EVIDENCE SYNTHESIS 122 articles that investigated an intervention used to treat AMI among individuals with pathology or simulated pathology were retrieved from 1986 to 2021. Additional articles among uninjured individuals were considered when discussing mechanisms of effect. CONCLUSION AMI contributes to the characteristic muscular impairments observed in patients recovering from joint injuries. If left unresolved, AMI impedes short-term recovery and threatens patients' long-term joint health and well-being. Growing evidence supports the use of neuromodulatory strategies to facilitate muscle recovery over the course of rehabilitation. Interventions should be individualized to meet the needs of the patient through shared clinician-patient decision-making. At a minimum, we propose to keep the treatment approach simple by attempting to resolve inflammation, pain, and effusion early following injury.
Collapse
|
6
|
Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:1116126. [PMID: 34777531 PMCID: PMC8580676 DOI: 10.1155/2021/1116126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 10/11/2021] [Indexed: 01/21/2023]
Abstract
Background Recently, the brain-computer interface (BCI) has seen rapid development, which may promote the recovery of motor function in chronic stroke patients. Methods Twelve stroke patients with severe upper limb and hand motor impairment were enrolled and randomly assigned into two groups: motor imagery (MI)-based BCI training with multimodal feedback (BCI group, n = 7) and classical motor imagery training (control group, n = 5). Motor function and electrophysiology were evaluated before and after the intervention. The Fugl-Meyer assessment-upper extremity (FMA-UE) is the primary outcome measure. Secondary outcome measures include an increase in wrist active extension or surface electromyography (the amplitude and cocontraction of extensor carpi radialis during movement), the action research arm test (ARAT), the motor status scale (MSS), and Barthel index (BI). Time-frequency analysis and power spectral analysis were used to reflect the electroencephalogram (EEG) change before and after the intervention. Results Compared with the baseline, the FMA-UE score increased significantly in the BCI group (p = 0.006). MSS scores improved significantly in both groups, while ARAT did not improve significantly. In addition, before the intervention, all patients could not actively extend their wrists or just had muscle contractions. After the intervention, four patients regained the ability to extend their paretic wrists (two in each group). The amplitude and area under the curve of extensor carpi radialis improved to some extent, but there was no statistical significance between the groups. Conclusion MI-based BCI combined with sensory and visual feedback might improve severe upper limb and hand impairment in chronic stroke patients, showing the potential for application in rehabilitation medicine.
Collapse
|
7
|
Budnik-Przybylska D, Kastrau A, Jasik P, Kaźmierczak M, Doliński Ł, Syty P, Łabuda M, Przybylski J, di Fronso S, Bertollo M. Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study. Front Hum Neurosci 2021; 15:669422. [PMID: 34140884 PMCID: PMC8205149 DOI: 10.3389/fnhum.2021.669422] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 04/26/2021] [Indexed: 11/30/2022] Open
Abstract
The purpose of the current study was to examine the cortical correlates of imagery depending on instructional modality (guided vs. self-produced) using various sports-related scripts. According to the expert-performance approach, we took an idiosyncratic perspective analyzing the mental imagery of an experienced two-time Olympic athlete to verify whether different instructional modalities of imagery (i.e., guided vs. self-produced) and different scripts (e.g., training or competition environment) could differently involve brain activity. The subject listened to each previously recorded script taken from two existing questionnaires concerning imagery ability in sport and then was asked to imagine the scene for a minute. During the task, brain waves were monitored using EEG (32-channel g. Nautilus). Our findings indicate that guided imagery might induce higher high alpha and SMR (usually associated with selective attention), whereas self-produced imagery might facilitate higher low alpha (associated with global resting state and relaxation). Results are discussed in light of the neural efficiency hypothesis as a marker of optimal performance and transient hypofrontality as a marker of flow state. Practical mental training recommendations are presented.
Collapse
Affiliation(s)
- Dagmara Budnik-Przybylska
- Department of Sport Psychology, Institute of Psychology, Faculty of Social Science, University of Gdańsk, Gdańsk, Poland
| | - Adrian Kastrau
- Department of Theoretical Physics and Quantum Information, Institute of Physics and Computer Science, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, Gdańsk, Poland
| | - Patryk Jasik
- Department of Theoretical Physics and Quantum Information, Institute of Physics and Computer Science, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, Gdańsk, Poland
| | - Maria Kaźmierczak
- Department of Family Studies and Quality of Life, Institute of Psychology, Faculty of Social Sciences, University of Gdańsk, Gdańsk, Poland
| | - Łukasz Doliński
- Department of Mechatronics and High Voltage Engineering, Faculty of Electrical and Control Engineering, Gdańsk University of Technology, Gdańsk, Poland.,BioTechMed Center, Gdańsk University of Technology, Gdańsk, Poland
| | - Paweł Syty
- Department of Theoretical Physics and Quantum Information, Institute of Physics and Computer Science, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, Gdańsk, Poland
| | - Marta Łabuda
- Department of Theoretical Physics and Quantum Information, Institute of Physics and Computer Science, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology, Gdańsk, Poland.,BioTechMed Center, Gdańsk University of Technology, Gdańsk, Poland
| | - Jacek Przybylski
- Department of Sport Psychology, Institute of Psychology, Faculty of Social Science, University of Gdańsk, Gdańsk, Poland
| | - Selenia di Fronso
- Department of Medicine and Aging Sciences, Behavioral Imaging and Neural Dynamics (BIND) Center, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| | - Maurizio Bertollo
- Department of Medicine and Aging Sciences, Behavioral Imaging and Neural Dynamics (BIND) Center, University "G. d'Annunzio" of Chieti-Pescara, Chieti, Italy
| |
Collapse
|
8
|
Mishra S, Kumar A, Padmanabhan P, Gulyás B. Neurophysiological Correlates of Cognition as Revealed by Virtual Reality: Delving the Brain with a Synergistic Approach. Brain Sci 2021; 11:brainsci11010051. [PMID: 33466371 PMCID: PMC7824819 DOI: 10.3390/brainsci11010051] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 12/16/2020] [Accepted: 12/25/2020] [Indexed: 12/11/2022] Open
Abstract
The synergy of perceptual psychology, technology, and neuroscience can be used to comprehend how virtual reality affects cognition of human brain. Numerous studies have used neuroimaging modalities to assess the cognitive state and response of the brain with various external stimulations. The virtual reality-based devices are well known to incur visual, auditory, and haptic induced perceptions. Neurophysiological recordings together with virtual stimulations can assist in correlating humans’ physiological perception with response in the environment designed virtually. The effective combination of these two has been utilized to study human behavior, spatial navigation performance, and spatial presence, to name a few. Moreover, virtual reality-based devices can be evaluated for the neurophysiological correlates of cognition through neurophysiological recordings. Challenges exist in the integration of real-time neuronal signals with virtual reality-based devices, and enhancing the experience together with real-time feedback and control through neuronal signals. This article provides an overview of neurophysiological correlates of cognition as revealed by virtual reality experience, together with a description of perception and virtual reality-based neuromodulation, various applications, and existing challenges in this field of research.
Collapse
Affiliation(s)
- Sachin Mishra
- Cognitive Neuroimaging Centre, 59 Nanyang Drive, Nanyang Technological University, Singapore 636921, Singapore; (S.M.); (A.K.)
| | - Ajay Kumar
- Cognitive Neuroimaging Centre, 59 Nanyang Drive, Nanyang Technological University, Singapore 636921, Singapore; (S.M.); (A.K.)
- Institute of Biomedical Sciences, National Sun Yat-sen University, Gushan District, Kaohsiung 804, Taiwan
- Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Gushan District, Kaohsiung 804, Taiwan
| | - Parasuraman Padmanabhan
- Cognitive Neuroimaging Centre, 59 Nanyang Drive, Nanyang Technological University, Singapore 636921, Singapore; (S.M.); (A.K.)
- Correspondence: (P.P.); (B.G.)
| | - Balázs Gulyás
- Cognitive Neuroimaging Centre, 59 Nanyang Drive, Nanyang Technological University, Singapore 636921, Singapore; (S.M.); (A.K.)
- Department of Clinical Neuroscience, Karolinska Institute, 17176 Stockholm, Sweden
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 608232, Singapore
- Correspondence: (P.P.); (B.G.)
| |
Collapse
|
9
|
Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. SENSORS 2020; 20:s20247309. [PMID: 33352714 PMCID: PMC7766128 DOI: 10.3390/s20247309] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 11/18/2022]
Abstract
This study aimed to develop an intuitive gait-related motor imagery (MI)-based hybrid brain-computer interface (BCI) controller for a lower-limb exoskeleton and investigate the feasibility of the controller under a practical scenario including stand-up, gait-forward, and sit-down. A filter bank common spatial pattern (FBCSP) and mutual information-based best individual feature (MIBIF) selection were used in the study to decode MI electroencephalogram (EEG) signals and extract a feature matrix as an input to the support vector machine (SVM) classifier. A successive eye-blink switch was sequentially combined with the EEG decoder in operating the lower-limb exoskeleton. Ten subjects demonstrated more than 80% accuracy in both offline (training) and online. All subjects successfully completed a gait task by wearing the lower-limb exoskeleton through the developed real-time BCI controller. The BCI controller achieved a time ratio of 1.45 compared with a manual smartwatch controller. The developed system can potentially be benefit people with neurological disorders who may have difficulties operating manual control.
Collapse
|
10
|
Orlandi A, Arno E, Proverbio AM. The Effect of Expertise on Kinesthetic Motor Imagery of Complex Actions. Brain Topogr 2020; 33:238-254. [PMID: 32112306 DOI: 10.1007/s10548-020-00760-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 02/23/2020] [Indexed: 12/25/2022]
Abstract
The ability to mentally simulate an action by recalling the body sensations relative to the real execution is referred to as kinesthetic motor imagery (MI). Frontal and parietal motor-related brain regions are generally engaged during MI. The present study aimed to investigate the time course and neural correlates of complex action imagery and possible effects of expertise on the underlying action representation processes. Professional ballet dancers and controls were presented with effortful and effortless ballet steps and instructed to mentally reproduce each movement during EEG recording. Time-locked MI was associated with an Anterior Negativity (AN) component (400-550 ms) that was larger in dancers relative to controls. The AN was differentially modulated by the motor content (effort) as a function of ballet expertise. It was more negative in response to effortful (than effortless) movements in control participants only. This effect also had a frontal distribution in controls and a centro-parietal distribution in dancers, as shown by the topographic maps of the scalp voltage. The source reconstruction (swLORETA) of the recorded potentials in the AN time-window showed enhanced engagement of prefrontal regions in controls (BA 10/47) relative to dancers, and occipitotemporal (BA 20) and bilateral sensorimotor areas in dancers (BA6/40) compared with controls. This evidence seems to suggest that kinesthetic MI of complex action relied on visuomotor simulation processes in participants with acquired dance expertise. Simultaneously, increased cognitive demands occurred in participants lacking in motor knowledge with the specific action. Hence, professional dance training may lead to refined action representation processes.
Collapse
Affiliation(s)
- Andrea Orlandi
- Department of Psychology, Neuro-MI, Milan Center for Neuroscience, University of Milano - Bicocca, Milan, Italy.
- Department of Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185, Rome, Italy.
| | - Elisa Arno
- Department of Psychology, Neuro-MI, Milan Center for Neuroscience, University of Milano - Bicocca, Milan, Italy
| | - Alice Mado Proverbio
- Department of Psychology, Neuro-MI, Milan Center for Neuroscience, University of Milano - Bicocca, Milan, Italy
| |
Collapse
|
11
|
Faro HKC, Machado DGDS, Bortolotti H, do Nascimento PHD, Moioli RC, Elsangedy HM, Fontes EB. Influence of Judo Experience on Neuroelectric Activity During a Selective Attention Task. Front Psychol 2020; 10:2838. [PMID: 31993002 PMCID: PMC6964796 DOI: 10.3389/fpsyg.2019.02838] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 12/02/2019] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE We compared the cognitive performance and neuroelectric responses during a selective attentional task in judo athletes with different levels of expertise. METHODS Judo black and white belt athletes performed both general and specific fitness tests while simultaneously completing a Stroop color-word test recorded by 64 electroencephalogram channels. RESULTS Cognitive behavioral performance and event-related spectral perturbation (ERSP) present no differences between groups. However, the topographic analysis found different neural source patterns in each group. Judo black belts compared to judo white belts presented a greater peak amplitude of P300 in the middle frontal gyrus and of N200 in the cuneus, but slower latency of P300 in the precuneus. CONCLUSION Despite no difference in cognitive behavioral performance, judo expertise causes a difference in the allocation of attentional and conflict detection neural resources.
Collapse
Affiliation(s)
- Heloiana Karoliny Campos Faro
- Department of Physical Education, NEUROex – Research Group in Physical Activity, Cognition and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | - Henrique Bortolotti
- Department of Physical Education, NEUROex – Research Group in Physical Activity, Cognition and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Paulo Henrique Duarte do Nascimento
- Department of Physical Education, NEUROex – Research Group in Physical Activity, Cognition and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Renan Cipriano Moioli
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, Brazil
- Graduate Program in Bioinformatics, Digital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Hassan Mohamed Elsangedy
- Department of Physical Education, NEUROex – Research Group in Physical Activity, Cognition and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Eduardo Bodnariuc Fontes
- Department of Physical Education, NEUROex – Research Group in Physical Activity, Cognition and Behavior, Federal University of Rio Grande do Norte, Natal, Brazil
| |
Collapse
|
12
|
Paulson C, Chien D, Lin F, Seidlits S, Cai Y, Sargolzaei S, Harris NG, Giza CC. A Novel Modular Headmount Design for non-invasive Scalp EEG Recordings in Awake Animal Models. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2018:5422-5425. [PMID: 30441563 DOI: 10.1109/embc.2018.8513686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We have designed and developed a novel, noninvasive modular headmount to be used for awake animal scalp electroencephalography (EEG). The design is based on a developing rat that will accommodate rapid head growth. Desired characteristics include non-invasiveness, adjustable quantity and positioning, light weight, and tolerability by the animal. Axial Dependent Modular Electrode Mount (ADMEM), as designed here, addresses the aforementioned constraints by using light-weight and adjustable materials. The initial prototype of ADMEM has been tested in vivo with rat pups, using the open field test to assess for stress and anxiety at two post-installation time-points: one day after ADMEM installation (acute time-point) and four days after ADMEM installation (sub-acute time-point). There was no significant difference in normal developmental weight gain between Control and ADMEM rat groups. Although no significant difference was found in the level of anxiety between groups at the acute time-point, the ADMEM group spent significantly less time in the center of the open field test, suggesting higher anxiety. The test also showed no difference in the measured traveled distances between Control and ADMEM groups on either time-points.
Collapse
|
13
|
Subramaniam S, Bhatt T. Dance-based exergaming for upper extremity rehabilitation and reducing fall-risk in community-dwelling individuals with chronic stroke. A preliminary study. Top Stroke Rehabil 2019; 26:565-575. [PMID: 31576774 DOI: 10.1080/10749357.2019.1625545] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: Post-stroke, individuals demonstrate persistent upper extremity (UE) motor impairments that impact functional movements and change-in-support strategies essential for recovery from postural instability. OBJECTIVES: This study primarily aims to quantify the effect of dance-based exergaming (DBExG) intervention on improving paretic UE movement control. The secondary aim is to assess if these improvements in UE movement control if observed, could partially account for improved fall-risk.Methods: Thirteen adults with chronic stroke received DBExG training using the commercially available Kinect dance gaming "Just Dance 3". Surface electromyography of shoulder muscle activity during the stand-reaching task and UE shoulder kinematics for a dance trial were recorded. Changes in balance control were determined using the Activities-specific Balance Confidence scale [ABC] and Timed-Up-and-Go test [TUG].Results: Post-training, participants demonstrated improvements in shoulder muscle activity in the form of performance (reaction time, burst duration, and movement time) and production outcomes (peak acceleration) (p < .05). There was also a post-training increase in shoulder joint excursion (Ex) and peak joint angles (∠) during dance trials (p < .05). Participants exhibited positive post-intervention correlations between ABC and shoulder joint Ex [R2 of 0.43 (p < .05)] and between TUG and peak joint ∠ [R2 of 0.51 (p < .05)]. CONCLUSION: Findings demonstrated the beneficial effect of DBExG for improving UE movement and the training-induced gains were also positively correlated with improvements in fall-risk measures in people with chronic stroke. Thus, DBEx training could be used as a meaningful clinical application for this population group.
Collapse
Affiliation(s)
- Savitha Subramaniam
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, USA
| | - Tanvi Bhatt
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, USA
| |
Collapse
|
14
|
Guo T, Ni Y, Li Q, Hong H. The Power of Faith: The Influence of Athletes' Coping Self-Efficacy on the Cognitive Processing of Psychological Stress. Front Psychol 2019; 10:1565. [PMID: 31354577 PMCID: PMC6638187 DOI: 10.3389/fpsyg.2019.01565] [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: 12/14/2018] [Accepted: 06/20/2019] [Indexed: 11/13/2022] Open
Abstract
Coping self-efficacy (CSE) has a positive mental health effect on athletes’ ability to cope with stress. To understand the mechanism underlying the potential impact of CSE, event-related potentials (ERPs) were used to explore the neural activity of the cerebral cortex under acute psychological stress in athletes with different CSE levels. Among 106 high-level athletes, 21 high-CSE athletes and 20 low-CSE athletes were selected to participate in the experiment. A mental arithmetic task was used to induce acute psychological stress. The results showed that high-CSE athletes responded more quickly than low-CSE athletes. In the stress response stage, the N1 peak latency of low-CSE athletes was longer than that of high-CSE athletes, and the N1 amplitude was significantly larger than that of high-CSE athletes. In the feedback stage, the FRN amplitude with error feedback of high-CSE athletes was larger than that of low-CSE athletes, and the P300 amplitude with correct feedback was larger than that with error feedback. The results indicate that high-CSE athletes can better cope with stressful events, adjust their behaviors in a timely manner according to the results of their coping, and focus more on processing positive information.
Collapse
Affiliation(s)
- Tengfei Guo
- School of Educational Science, Henan University, Kaifeng, China
| | - Yakun Ni
- School of Educational Science, Henan University, Kaifeng, China
| | - Qiaoling Li
- School of Educational Science, Henan University, Kaifeng, China
| | - Hao Hong
- School of Physical Education, Henan University, Kaifeng, China
| |
Collapse
|
15
|
Brandwayn N, Restrepo D, Marcela Martinez-Martinez A, Acevedo-Triana C. Effect of fine and gross motor training or motor imagery, delivered via novel or routine modes, on cognitive function. APPLIED NEUROPSYCHOLOGY-ADULT 2019; 27:450-467. [PMID: 30806078 DOI: 10.1080/23279095.2019.1566133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
There is extensive literature linking motor activity to cognitive effects at various stages in life, promoting both development and the reduction of aging associated pathologies. It is unclear whether the benefits of this activity on the cognitive level are associated with brain functions that are necessary for their performance or recurrence of activity or type of activity itself. The aim of this study was to evaluate whether the type of motor activity (fine, gross, and motor imagery) in two modes (novel and routine) can affect cognitive functions such as attention, executive functions, and praxis in college students. A 2 × 3 factorial design with repeated measures was used without a control group and pre- and post-training evaluation. Fifty-three young people (14 men and 39 women) participated, with mean age of 18.94 years (SD = 1.61 years) and were divided into six groups. Each of the groups performed relevant training 20 minutes per day for five days depending on the group. Measures were taken pre and post-training for attention tests, attention span, working memory, visual constructive skills, procedural memory, and motor skills. The results show a "learning effect" from the exposure to the tests in measurements after training. It was also found that between groups, there is a difference in some of the variables of procedural memory (number of errors) and working memory. More extensive training could better reflect the effects of the training, and longitudinal evaluation could show the rate of change of functions. The main clinical implication could be the evaluation of training programs for recovery and motor training in cerebral plasticity having effect on the cognitive aspects.
Collapse
|
16
|
Zhang D, Gu R. Behavioral preference in sequential decision-making and its association with anxiety. Hum Brain Mapp 2018; 39:2482-2499. [PMID: 29468778 DOI: 10.1002/hbm.24016] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 12/26/2017] [Accepted: 02/13/2018] [Indexed: 02/04/2023] Open
Abstract
In daily life, people often make consecutive decisions before the ultimate goal is reached (i.e., sequential decision-making). However, this kind of decision-making has been largely overlooked in the literature. The current study investigated whether behavioral preference would change during sequential decisions, and the neural processes underlying the potential changes. For this purpose, we revised the classic balloon analogue risk task and recorded the electroencephalograph (EEG) signals associated with each step of decision-making. Independent component analysis performed on EEG data revealed that four EEG components elicited by periodic feedback in the current step predicted participants' decisions (gamble vs. no gamble) in the next step. In order of time sequence, these components were: bilateral occipital alpha rhythm, bilateral frontal theta rhythm, middle frontal theta rhythm, and bilateral sensorimotor mu rhythm. According to the information flows between these EEG oscillations, we proposed a brain model that describes the temporal dynamics of sequential decision-making. Finally, we found that the tendency to gamble (as well as the power intensity of bilateral frontal theta rhythms) was sensitive to the individual level of trait anxiety in certain steps, which may help understand the role of emotion in decision-making.
Collapse
Affiliation(s)
- Dandan Zhang
- Department of Psychology, College of Psychology and Sociology, Shenzhen University, Shenzhen, China.,Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Department of Psychology, Stony Brook University, Stony Brook, New York
| |
Collapse
|
17
|
Cebolla AM, Palmero-Soler E, Leroy A, Cheron G. EEG Spectral Generators Involved in Motor Imagery: A swLORETA Study. Front Psychol 2017; 8:2133. [PMID: 29312028 PMCID: PMC5733067 DOI: 10.3389/fpsyg.2017.02133] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 11/22/2017] [Indexed: 01/26/2023] Open
Abstract
In order to characterize the neural generators of the brain oscillations related to motor imagery (MI), we investigated the cortical, subcortical, and cerebellar localizations of their respective electroencephalogram (EEG) spectral power and phase locking modulations. The MI task consisted in throwing a ball with the dominant upper limb while in a standing posture, within an ecological virtual reality (VR) environment (tennis court). The MI was triggered by the visual cues common to the control condition, during which the participant remained mentally passive. As previously developed, our paradigm considers the confounding problem that the reference condition allows two complementary analyses: one which uses the baseline before the occurrence of the visual cues in the MI and control resting conditions respectively; and the other which compares the analog periods between the MI and the control resting-state conditions. We demonstrate that MI activates specific, complex brain networks for the power and phase modulations of the EEG oscillations. An early (225 ms) delta phase-locking related to MI was generated in the thalamus and cerebellum and was followed (480 ms) by phase-locking in theta and alpha oscillations, generated in specific cortical areas and the cerebellum. Phase-locking preceded the power modulations (mainly alpha-beta ERD), whose cortical generators were situated in the frontal BA45, BA11, BA10, central BA6, lateral BA13, and posterior cortex BA2. Cerebellar-thalamic involvement through phase-locking is discussed as an underlying mechanism for recruiting at later stages the cortical areas involved in a cognitive role during MI.
Collapse
Affiliation(s)
- Ana-Maria Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium
| | - Ernesto Palmero-Soler
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium
| | - Axelle Leroy
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium
| | - Guy Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium.,Laboratory of Electrophysiology, Université de Mons, Mons, Belgium
| |
Collapse
|
18
|
Robin N, Coudevylle GR, Hue O, Toussaint L. The influences of tropical climate on imagined walking time. JOURNAL OF COGNITIVE PSYCHOLOGY 2017. [DOI: 10.1080/20445911.2017.1384382] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Nicolas Robin
- Laboratoire “Adaptation au Climat Tropical, Exercice & Santé”, Faculté des Sciences du Sport de Pointe-à-Pitre, Université des Antilles, Pointe-à-Pitre, France
| | - Guillaume R. Coudevylle
- Laboratoire “Adaptation au Climat Tropical, Exercice & Santé”, Faculté des Sciences du Sport de Pointe-à-Pitre, Université des Antilles, Pointe-à-Pitre, France
| | - Olivier Hue
- Laboratoire “Adaptation au Climat Tropical, Exercice & Santé”, Faculté des Sciences du Sport de Pointe-à-Pitre, Université des Antilles, Pointe-à-Pitre, France
| | - Lucette Toussaint
- Centre de Recherches sur la Cognition et l’Apprentissage
- Université de Poitiers, Poitiers, France
| |
Collapse
|
19
|
Di Rienzo F, Debarnot U, Daligault S, Saruco E, Delpuech C, Doyon J, Collet C, Guillot A. Online and Offline Performance Gains Following Motor Imagery Practice: A Comprehensive Review of Behavioral and Neuroimaging Studies. Front Hum Neurosci 2016; 10:315. [PMID: 27445755 PMCID: PMC4923126 DOI: 10.3389/fnhum.2016.00315] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 06/10/2016] [Indexed: 11/13/2022] Open
Abstract
There is now compelling evidence that motor imagery (MI) promotes motor learning. While MI has been shown to influence the early stages of the learning process, recent data revealed that sleep also contributes to the consolidation of the memory trace. How such "online" and "offline" processes take place and how they interact to impact the neural underpinnings of movements has received little attention. The aim of the present review is twofold: (i) providing an overview of recent applied and fundamental studies investigating the effects of MI practice (MIP) on motor learning; and (ii) detangling applied and fundamental findings in support of a sleep contribution to motor consolidation after MIP. We conclude with an integrative approach of online and offline learning resulting from intense MIP in healthy participants, and underline research avenues in the motor learning/clinical domains.
Collapse
Affiliation(s)
- Franck Di Rienzo
- Laboratoire Interuniversitaire de Biologie de la Motricité, Université de Lyon, Université Claude Bernard Lyon 1 Villeurbanne, France
| | - Ursula Debarnot
- Laboratoire Interuniversitaire de Biologie de la Motricité, Université de Lyon, Université Claude Bernard Lyon 1Villeurbanne, France; Laboratoire de Neurologie et d'Imagerie Cognitive, Université de GenèveGeneva, Switzerland
| | | | - Elodie Saruco
- Laboratoire Interuniversitaire de Biologie de la Motricité, Université de Lyon, Université Claude Bernard Lyon 1 Villeurbanne, France
| | - Claude Delpuech
- INSERM U821, Département MEG, CERMEP Imagerie Du Vivant Bron, France
| | - Julien Doyon
- Unité de Neuroimagerie Fonctionnelle, Département de Psychologie, Institut Universitaire de Gériatrie de Montréal, Université de Montréal Montréal, QC, Canada
| | - Christian Collet
- Laboratoire Interuniversitaire de Biologie de la Motricité, Université de Lyon, Université Claude Bernard Lyon 1 Villeurbanne, France
| | - Aymeric Guillot
- Laboratoire Interuniversitaire de Biologie de la Motricité, Université de Lyon, Université Claude Bernard Lyon 1Villeurbanne, France; Institut Universitaire de FranceParis, France
| |
Collapse
|
20
|
Cheron G, Petit G, Cheron J, Leroy A, Cebolla A, Cevallos C, Petieau M, Hoellinger T, Zarka D, Clarinval AM, Dan B. Brain Oscillations in Sport: Toward EEG Biomarkers of Performance. Front Psychol 2016; 7:246. [PMID: 26955362 PMCID: PMC4768321 DOI: 10.3389/fpsyg.2016.00246] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Accepted: 02/08/2016] [Indexed: 01/20/2023] Open
Abstract
Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The non-invasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu), and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.
Collapse
Affiliation(s)
- Guy Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Laboratory of Electrophysiology, Université de Mons-HainautMons, Belgium
| | - Géraldine Petit
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Julian Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Axelle Leroy
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Haute Ecole CondorcetCharleroi, Belgium
| | - Anita Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Carlos Cevallos
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Mathieu Petieau
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Thomas Hoellinger
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - David Zarka
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Anne-Marie Clarinval
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Bernard Dan
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Inkendaal Rehabilitation HospitalVlezembeek, Belgium
| |
Collapse
|