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da Silva Costa AA, Moraes R, den Otter R, Gennaro F, Bakker L, Rocha Dos Santos PC, Hortobágyi T. Corticomuscular and intermuscular coherence as a function of age and walking balance difficulty. Neurobiol Aging 2024; 141:85-101. [PMID: 38850592 DOI: 10.1016/j.neurobiolaging.2024.05.004] [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: 09/25/2023] [Revised: 04/12/2024] [Accepted: 05/08/2024] [Indexed: 06/10/2024]
Abstract
We determined beta-band intermuscular (IMC) and corticomuscular coherence (CMC) as a function of age and walking balance difficulty. Younger (n=14, 23y) and older individuals (n=19, 71y) walked 13 m overground, on a 6-cm-wide ribbon overground, and on a 6-cm-wide (5-cm-high) beam. Walking distance as a proxy for walking balance and speed were computed. CMC was estimated between electroencephalographic signal at Cz electrode and surface electromyographic signals of seven leg muscles, while IMC was calculated in four pairs of leg muscles, during stance and swing gait phases. With increasing difficulty, walking balance decreased in old individuals and speed decreased gradually independent of age. Beam walking increased IMC, while age increased IMC in proximal muscle pairs, and decreased IMC in distal muscle pairs. Age and difficulty increased CMC independent of gait phases. Concluding, CMC and IMC increased with walking balance difficulty and age, except for distal muscle pairs, which had lower IMC with age. These findings suggest an age-related increase in corticospinal involvement in the neural control of walking balance. DATA AVAILABILITY: The datasets used in this study are available from the corresponding author upon reasonable request.
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Affiliation(s)
- Andréia Abud da Silva Costa
- Ribeirão Preto Medical School, Graduate Program in Rehabilitation and Functional Performance, University of São Paulo, Brazil; Biomechanics and Motor Control Lab, School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Brazil; Department of Human Movement Sciences, University of Groningen Medical Center, Groningen, the Netherlands.
| | - Renato Moraes
- Ribeirão Preto Medical School, Graduate Program in Rehabilitation and Functional Performance, University of São Paulo, Brazil; Biomechanics and Motor Control Lab, School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Brazil
| | - Rob den Otter
- Department of Human Movement Sciences, University of Groningen Medical Center, Groningen, the Netherlands
| | - Federico Gennaro
- Department of Biomedical Sciences, University of Padua, Padua, Italy
| | - Lisanne Bakker
- Department of Human Movement Sciences, University of Groningen Medical Center, Groningen, the Netherlands
| | - Paulo Cezar Rocha Dos Santos
- Department of Computer Science & Applied Mathematics, Weizmann Institute of Science, Israel; The Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Israel; IDOR/Pioneer Science Initiative, Rio de Janeiro, RJ, Brazil
| | - Tibor Hortobágyi
- Department of Human Movement Sciences, University of Groningen Medical Center, Groningen, the Netherlands; Department of Kinesiology, Hungarian University of Sports Science, Budapest 1123, Hungary; Department of Sport Biology, Institute of Sport Sciences and Physical Education, University of Pécs, Pécs, Hungary
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Roeder L, Breakspear M, Kerr GK, Boonstra TW. Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait. iScience 2024; 27:109162. [PMID: 38414847 PMCID: PMC10897916 DOI: 10.1016/j.isci.2024.109162] [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: 09/19/2023] [Revised: 11/16/2023] [Accepted: 02/05/2024] [Indexed: 02/29/2024] Open
Abstract
Walking is a complex motor activity that requires coordinated interactions between the sensory and motor systems. We used mobile EEG and EMG to investigate the brain-muscle networks involved in gait control during overground walking in young people, older people, and individuals with Parkinson's disease. Dynamic interactions between the sensorimotor cortices and eight leg muscles within a gait cycle were assessed using multivariate analysis. We identified three distinct brain-muscle networks during a gait cycle. These networks include a bilateral network, a left-lateralized network activated during the left swing phase, and a right-lateralized network active during the right swing. The trajectories of these networks are contracted in older adults, indicating a reduction in neuromuscular connectivity with age. Individuals with the impaired tactile sensitivity of the foot showed a selective enhancement of the bilateral network, possibly reflecting a compensation strategy to maintain gait stability. These findings provide a parsimonious description of interindividual differences in neuromuscular connectivity during gait.
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Affiliation(s)
- Luisa Roeder
- School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
- School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia
- Chair of Human Movement Science, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Michael Breakspear
- College of Engineering Science and Environment, College of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
| | - Graham K Kerr
- School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Tjeerd W Boonstra
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
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Guo X, Zhao S, Yu L, Wang H, Acquah MEE, Chen W, Gu D. Neural Correlates of Abnormal Cortical Gait Control in Parkinson's Disease: A Whole-Gait-Cycle EEG Study. IEEE Trans Biomed Eng 2024; 71:400-409. [PMID: 37535480 DOI: 10.1109/tbme.2023.3301528] [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: 08/05/2023]
Abstract
OBJECTIVE Electroencephalography (EEG) with high time-resolution allows for recording dynamic cortical activity during walking and provides new insight into the underlying pathophysiology of gait impairments in PD. However, traditional gait-phase-specific EEG analysis only measures the brain activities in the isolated gait phase, but neglects the between-gait-phase interactions as well as the whole-gait-cycle characteristics, and therefore is unable to effectively reflect the abnormal cortical gait control. METHODS In this study, we introduced three whole-gait-cycle measures of intra-stride EEG activity (i.e., mean desynchronization, amplitude of fluctuations, and coupling to the gait phase), and investigated their abnormalities in PD and relationships with gait impairments, which were further compared with the traditional gait-phase-specific measures. RESULTS Compared with healthy controls, PD patients showed overwhelming stronger desynchronizations (ERD) across the whole gait cycle in θ, α and low-β bands, implying a cortical compensatory strategy in response to the low efficiency of the motor network. Patients also exhibited weaker intra-stride ERD fluctuations in the central area in α and low-β bands, with reduced amplitude and less coupling to the gait phase, which were correlated with gait impairments in walking speed, gait rhythm and walking stability. However, gait-phase-specific EEG measures did not show any significant correlation with gait impairments in PD. CONCLUSION Our results demonstrated the efficiency of whole-gait-cycle EEG measures in characterizing the abnormal cortical gait control, and for the first time, associated gait impairments with weak intra-stride electrocortical fluctuations. SIGNIFICANCE The findings may shed light on the development of cortical-targeted interventions for PD.
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Peng K, Xie L, Hong R, Wu Z, Gu H, He Y, Xing Z, Guan Q, Pan L, Jin L, Li L. Early-onset and late-onset Parkinson's disease exhibit a different profile of gait and posture features based on the Kinect. Neurol Sci 2024; 45:139-147. [PMID: 37555875 DOI: 10.1007/s10072-023-07009-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/03/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION Gait and posture abnormalities are the common disabling motor symptoms in Parkinson's disease (PD). This study aims to investigate the differential characteristics of gait and posture in early-onset PD (EOPD) and late-onset PD (LOPD) using the Kinect depth camera. METHODS Eighty-eight participants, including two subgroups of 22 PD patients and two subgroups of 22 healthy controls (HC) matched for age, sex, and height, were enrolled. Gait and posture features were quantitatively assessed using a Kinect-based system. A two-way analysis of variance was used to compare the difference between different subgroups. RESULTS EOPD had a significantly higher Gait score than LOPD (p = 0.031). Specifically, decreased swing phase (p = 0.034) was observed in the EOPD group. Although the Posture score was similar between the two groups, LOPD was characterized by an increased forward flexion angle of the trunk at the thorax (p = 0.042) and a decreased forward flexion angle of the head relative to the trunk (p = 0.009). Additionally, age-independent features were observed in both PD subgroups, and post hoc tests revealed that EOPD generally performed worse gait features. In comparison, LOPD was characterized by worse performance in posture features. CONCLUSIONS EOPD and LOPD exhibit different profiles of gait and posture features. The phenotype-specific characteristics likely reflect the distinct neurodegenerative processes between them.
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Affiliation(s)
- Kangwen Peng
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ludi Xie
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Zhuang Wu
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hongkai Gu
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yijing He
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ziwen Xing
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qiang Guan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lizhen Pan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
- Collaborative Innovation Center for Brain Science (Sponsored By Shanghai Blue Cross Brain Hospital Co., Ltd. and Shanghai Tongji University Education Development Foundation), Tongji University, Shanghai, China.
| | - Lixi Li
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
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Katmah R, Shehhi AA, Jelinek HF, Hulleck AA, Khalaf K. A Systematic Review of Gait Analysis in the Context of Multimodal Sensing Fusion and AI. IEEE Trans Neural Syst Rehabil Eng 2023; 31:4189-4202. [PMID: 37847624 DOI: 10.1109/tnsre.2023.3325215] [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: 10/19/2023]
Abstract
BACKGROUND Neurological diseases are a leading cause of disability and mortality. Gait, or human walking, is a significant predictor of quality of life, morbidity, and mortality. Gait patterns and other kinematic, kinetic, and balance gait features are accurate and powerful diagnostic and prognostic tools. OBJECTIVE This review article focuses on the applicability of gait analysis using fusion techniques and artificial intelligence (AI) models. The aim is to examine the significance of mixing several types of wearable and non-wearable sensor data and the impact of this combination on the performance of AI models. METHOD In this systematic review, 66 studies using more than two modalities to record and analyze gait were identified. 40 studies incorporated multiple gait analysis modalities without the use of artificial intelligence to extract gait features such as kinematic, kinetic, margin of stability, temporal, and spatial gait parameters, as well as cerebral activity. Similarly, 26 studies analyzed gait data using multimodal fusion sensors and AI algorithms. RESULTS The research summarized here demonstrates that the quality of gait analysis and the effectiveness of AI models can both benefit from the integration of data from many sensors. Meanwhile, the utilization of EMG signals in fusion data is especially advantageous. CONCLUSION The findings of this review suggest that a smart, portable, wearable-based gait and balance assessment system can be developed using multimodal sensing of the most cutting-edge, clinically relevant tools and technology available. The information presented in this article may serve as a vital springboard for such development.
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Rizzo R, Wang JWJL, DePold Hohler A, Holsapple JW, Vaou OE, Ivanov PC. Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1168677. [PMID: 37744179 PMCID: PMC10512188 DOI: 10.3389/fnetp.2023.1168677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/09/2023] [Indexed: 09/26/2023]
Abstract
The brain plays central role in regulating physiological systems, including the skeleto-muscular and locomotor system. Studies of cortico-muscular coordination have primarily focused on associations between movement tasks and dynamics of specific brain waves. However, the brain-muscle functional networks of synchronous coordination among brain waves and muscle activity rhythms that underlie locomotor control remain unknown. Here we address the following fundamental questions: what are the structure and dynamics of cortico-muscular networks; whether specific brain waves are main network mediators in locomotor control; how the hierarchical network organization relates to distinct physiological states under autonomic regulation such as wake, sleep, sleep stages; and how network dynamics are altered with neurodegenerative disorders. We study the interactions between all physiologically relevant brain waves across cortical locations with distinct rhythms in leg and chin muscle activity in healthy and Parkinson's disease (PD) subjects. Utilizing Network Physiology framework and time delay stability approach, we find that 1) each physiological state is characterized by a unique network of cortico-muscular interactions with specific hierarchical organization and profile of links strength; 2) particular brain waves play role as main mediators in cortico-muscular interactions during each state; 3) PD leads to muscle-specific breakdown of cortico-muscular networks, altering the sleep-stage stratification pattern in network connectivity and links strength. In healthy subjects cortico-muscular networks exhibit a pronounced stratification with stronger links during wake and light sleep, and weaker links during REM and deep sleep. In contrast, network interactions reorganize in PD with decline in connectivity and links strength during wake and non-REM sleep, and increase during REM, leading to markedly different stratification with gradual decline in network links strength from wake to REM, light and deep sleep. Further, we find that wake and sleep stages are characterized by specific links strength profiles, which are altered with PD, indicating disruption in the synchronous activity and network communication among brain waves and muscle rhythms. Our findings demonstrate the presence of previously unrecognized functional networks and basic principles of brain control of locomotion, with potential clinical implications for novel network-based biomarkers for early detection of Parkinson's and neurodegenerative disorders, movement, and sleep disorders.
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Affiliation(s)
- Rossella Rizzo
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
- Department of Engineering, University of Palermo, Palermo, Italy
| | - Jilin W. J. L. Wang
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
| | - Anna DePold Hohler
- Department of Neurology, Steward St. Elizabeth’s Medical Center, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States
| | - James W. Holsapple
- Department of Neurosurgery, Boston University School of Medicine, Boston, MA, United States
| | - Okeanis E. Vaou
- Department of Neurology, Steward St. Elizabeth’s Medical Center, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States
| | - Plamen Ch. Ivanov
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
- Harvard Medical School and Division of Sleep Medicine, Brigham and Women Hospital, Boston, MA, United States
- Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria
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Fernandez-Del-Olmo M, Sánchez-Molina JA, Novo-Ponte S, Fogelson N. Directed connectivity in Parkinson's disease patients during over-ground and treadmill walking. Exp Gerontol 2023; 178:112220. [PMID: 37230335 DOI: 10.1016/j.exger.2023.112220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/17/2023] [Accepted: 05/22/2023] [Indexed: 05/27/2023]
Abstract
Treadmill walking is considered a useful therapeutic tool for improving gait in Parkinson's disease (PD) patients. The study investigated the role of top-down, frontal-parietal versus bottom-up parietal-frontal networks, during over-ground and treadmill walking in PD and control subjects, using functional connectivity. To this end, EEG was recorded simultaneously, during a ten-minute period of continuous walking either over-ground or on a treadmill, in thirteen PD patients and thirteen age-matched controls. We evaluated EEG directed connectivity, using phase transfer entropy in three frequency bands: theta, alpha and beta. PD patients showed increased top-down connectivity during over-ground compared with treadmill walking, in the beta frequency range. Control subjects showed no significant differences in connectivity between the two walking conditions. Our results suggest that in PD patients, OG walking was associated with increased allocation of attentional resources, compared with that on the TL. These functional connectivity modulations may shed further light on the mechanisms underlying treadmill versus overground walking in PD.
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Affiliation(s)
| | | | - Sabela Novo-Ponte
- Department of Neurology, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain
| | - Noa Fogelson
- Department of Humanities, University Rey Juan Carlos, Madrid, Spain.
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Vitório R, Lirani-Silva E, Orcioli-Silva D, Beretta VS, Oliveira AS, Gobbi LTB. Electrocortical Dynamics of Usual Walking and the Planning to Step over Obstacles in Parkinson's Disease. SENSORS (BASEL, SWITZERLAND) 2023; 23:4866. [PMID: 37430780 DOI: 10.3390/s23104866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/09/2023] [Accepted: 05/17/2023] [Indexed: 07/12/2023]
Abstract
The neural correlates of locomotion impairments observed in people with Parkinson's disease (PD) are not fully understood. We investigated whether people with PD present distinct brain electrocortical activity during usual walking and the approach phase of obstacle avoidance when compared to healthy individuals. Fifteen people with PD and fourteen older adults walked overground in two conditions: usual walking and obstacle crossing. Scalp electroencephalography (EEG) was recorded using a mobile 64-channel EEG system. Independent components were clustered using a k-means clustering algorithm. Outcome measures included absolute power in several frequency bands and alpha/beta ratio. During the usual walk, people with PD presented a greater alpha/beta ratio in the left sensorimotor cortex than healthy individuals. While approaching obstacles, both groups reduced alpha and beta power in the premotor and right sensorimotor cortices (balance demand) and increased gamma power in the primary visual cortex (visual demand). Only people with PD reduced alpha power and alpha/beta ratio in the left sensorimotor cortex when approaching obstacles. These findings suggest that PD affects the cortical control of usual walking, leading to a greater proportion of low-frequency (alpha) neuronal firing in the sensorimotor cortex. Moreover, the planning for obstacle avoidance changes the electrocortical dynamics associated with increased balance and visual demands. People with PD rely on increased sensorimotor integration to modulate locomotion.
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Affiliation(s)
- Rodrigo Vitório
- Institute of Biosciences, Sao Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
| | - Ellen Lirani-Silva
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Diego Orcioli-Silva
- Institute of Biosciences, Sao Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil
| | - Victor Spiandor Beretta
- Institute of Biosciences, Sao Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- School of Technology and Sciences, Sao Paulo State University (UNESP), Presidente Prudente 19060-900, Brazil
| | | | - Lilian Teresa Bucken Gobbi
- Institute of Biosciences, Sao Paulo State University (UNESP), Rio Claro 13506-900, Brazil
- Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro 13506-900, Brazil
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Li S, Milligan K, Blythe P, Zhang Y, Edwards S, Palmarini N, Corner L, Ji Y, Zhang F, Namdeo A. Exploring the role of human-following robots in supporting the mobility and wellbeing of older people. Sci Rep 2023; 13:6512. [PMID: 37081106 PMCID: PMC10119299 DOI: 10.1038/s41598-023-33837-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 04/19/2023] [Indexed: 04/22/2023] Open
Abstract
With the ever-pressing challenges of societal ageing, robotic technologies for older people are increasingly portrayed as a solution for better independent living for longer. However, the application of human-following robots for elderly citizens has not yet been considered, and any prospective benefits offered by the technology for active ageing have previously been overlooked. This qualitative research aimed to explore older people's needs and requirements towards the human-following robot through the reflexive thematic analysis of semi-structured interview data from 17 independent older adults, supported by a video-based demonstration of the robot. The results indicate that older people believed that human-following robot has the potential to provide social benefits to an independent older adult by encouraging walking trips and prompting social interaction with others in the community. Practical limitations and cost of the robot are barriers to adoption at present. The findings indicate that there is potential for human-following robots to support active ageing, through increasing opportunities for the social participation of an older adult, but further development of the robot is needed for this potential to be realised.
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Affiliation(s)
- Shuo Li
- School of Engineering, Newcastle University, Cassie Building, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK.
| | - Kirsty Milligan
- School of Engineering, Newcastle University, Cassie Building, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
| | - Phil Blythe
- School of Engineering, Newcastle University, Cassie Building, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
| | - Yanghanzi Zhang
- School of Engineering, Newcastle University, Cassie Building, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
| | - Simon Edwards
- School of Engineering, Newcastle University, Cassie Building, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
| | - Nic Palmarini
- UK's National Innovation Centre for Ageing, The Catalyst, 3 Science Square, Newcastle Upon Tyne, NE4 5TG, UK
| | - Lynne Corner
- UK's National Innovation Centre for Ageing, The Catalyst, 3 Science Square, Newcastle Upon Tyne, NE4 5TG, UK
| | - Yanjie Ji
- Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Centre of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Southeast University Road 2, Nanjing, 211189, China
| | - Fan Zhang
- Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Centre of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Southeast University Road 2, Nanjing, 211189, China
| | - Anil Namdeo
- Department of Geography and Environmental Sciences, Northumbria University, Ellison Place, Newcastle Upon Tyne, NE1 8ST, UK
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Stokkermans M, Solis-Escalante T, Cohen MX, Weerdesteyn V. Distinct cortico-muscular coupling between step and stance leg during reactive stepping responses. Front Neurol 2023; 14:1124773. [PMID: 36998772 PMCID: PMC10043329 DOI: 10.3389/fneur.2023.1124773] [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: 12/15/2022] [Accepted: 02/20/2023] [Indexed: 03/16/2023] Open
Abstract
Balance recovery often relies on successful stepping responses, which presumably require precise and rapid interactions between the cerebral cortex and the leg muscles. Yet, little is known about how cortico-muscular coupling (CMC) supports the execution of reactive stepping. We conducted an exploratory analysis investigating time-dependent CMC with specific leg muscles in a reactive stepping task. We analyzed high density EEG, EMG, and kinematics of 18 healthy young participants while exposing them to balance perturbations at different intensities, in the forward and backward directions. Participants were instructed to maintain their feet in place, unless stepping was unavoidable. Muscle-specific Granger causality analysis was conducted on single step- and stance-leg muscles over 13 EEG electrodes with a midfrontal scalp distribution. Time-frequency Granger causality analysis was used to identify CMC from cortex to muscles around perturbation onset, foot-off and foot strike events. We hypothesized that CMC would increase compared to baseline. In addition, we expected to observe different CMC between step and stance leg because of their functional role during the step response. In particular, we expected that CMC would be most evident for the agonist muscles while stepping, and that CMC would precede upregulation in EMG activity in these muscles. We observed distinct Granger gain dynamics over theta, alpha, beta, and low/high-gamma frequencies during the reactive balance response for all leg muscles in each step direction. Interestingly, between-leg differences in Granger gain were almost exclusively observed following the divergence of EMG activity. Our results demonstrate cortical involvement in the reactive balance response and provide insights into its temporal and spectral characteristics. Overall, our findings suggest that higher levels of CMC do not facilitate leg-specific EMG activity. Our work is relevant for clinical populations with impaired balance control, where CMC analysis may elucidate the underlying pathophysiological mechanisms.
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Affiliation(s)
- Mitchel Stokkermans
- Department of Rehabilitation, Radboud University Medical Center for Medical Neuroscience, Nijmegen, Netherlands
- Department of Synchronisation in Neural Systems, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
| | - Teodoro Solis-Escalante
- Department of Rehabilitation, Radboud University Medical Center for Medical Neuroscience, Nijmegen, Netherlands
| | - Michael X. Cohen
- Department of Synchronisation in Neural Systems, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
| | - Vivian Weerdesteyn
- Department of Rehabilitation, Radboud University Medical Center for Medical Neuroscience, Nijmegen, Netherlands
- Sint Maartenskliniek Research, Nijmegen, Netherlands
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De Sanctis P, Wagner J, Molholm S, Foxe JJ, Blumen HM, Horsthuis DJ. Neural signature of mobility-related everyday function in older adults at-risk of cognitive impairment. Neurobiol Aging 2023; 122:1-11. [PMID: 36463848 PMCID: PMC10281759 DOI: 10.1016/j.neurobiolaging.2022.11.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 10/27/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022]
Abstract
Assessment of everyday activities is central to the diagnosis of dementia. Yet, little is known about brain processes associated with everyday functional limitations, particularly during early stages of cognitive decline. Twenty-six older adults (mean = 74.9 y) were stratified by risk using the Montreal Cognitive Assessment battery (MoCA, range: 0- 30) to classify individuals as higher (22-26) and lower risk (27+) of cognitive impairment. We investigated everyday function using a gait task designed to destabilize posture and applied Mobile Brain/Body Imaging. We predicted that participants would increase step width to gain stability, yet the underlying neural signatures would be different for lower versus higher risk individuals. Step width and fronto-parietal activation increased during visually perturbed input. Frontomedial theta increased in higher risk individuals during perturbed and unperturbed inputs. Left sensorimotor beta decreased in lower risk individuals during visually perturbed input. Modulations in theta and beta power were associated with MoCA scores. Our findings suggest that older adults at-risk of cognitive impairment can be characterized by a unique neural signature of everyday function.
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Affiliation(s)
- Pierfilippo De Sanctis
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Johanna Wagner
- Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA, USA
| | - Sophie Molholm
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA; The Dominick P. Purpura Department of Neuroscience, Rose F. Kennedy Intellectual and Developmental Disabilities Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John J Foxe
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA; The Cognitive Neurophysiology Laboratory, The Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Helena M Blumen
- Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine (Geriatrics), Albert Einstein College of Medicine, Bronx, NY, USA
| | - Douwe J Horsthuis
- The Cognitive Neurophysiology Laboratory, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
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12
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Sensorimotor recalibration of postural control strategies occurs after whole body vibration. Sci Rep 2023; 13:522. [PMID: 36627328 PMCID: PMC9831994 DOI: 10.1038/s41598-022-27117-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/26/2022] [Indexed: 01/11/2023] Open
Abstract
Efficient postural control results from an effective interplay between sensory feedbacks integration and muscle modulation and can be affected by ageing and neuromuscular injuries. With this study, we investigated the effect of whole-body vibratory stimulation on postural control strategies employed to maintain an upright posture. We explored both physiological and posturography metrics, through corticomuscular and intramuscular coherence, and muscle networks analyses. The stimulation disrupts balance in the short term, but leads to a greater contribution of cortical activity, necessary to modulate muscle activation via the formation of (new) synergies. We also observed a reconfiguration of muscle recruitment patterns that returned to pre-stimulation levels after few minutes, accompanied by a slight improvement of balance in the anterior-posterior direction. Our results suggest that, in the context of postural control, appropriate mechanical stimulation is capable of triggering a recalibration of the sensorimotor set and might offer new perspectives for motor re-education.
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13
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Parr JVV, Hodson-Tole E, Wood G. Short report presenting preliminary evidence of impaired corticomuscular coherence in an individual with Developmental Coordination Disorder. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 131:104355. [PMID: 36191396 DOI: 10.1016/j.ridd.2022.104355] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 09/21/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND It has been suggested that developmental coordination disorder (DCD) could be caused by a 'dysconnection' in brain and skeletal muscle communication. To date no previous work has examined the integrity of this neuromuscular process in individuals with DCD. AIMS To conduct a feasibility study for measuring functional connectivity of the brain and muscle in an individual with DCD using corticomuscular coherence (CMC). METHODS AND PROCEDURES An individual with DCD and a typically developing (TD) participant completed a series of sustained 5-second voluntary isometric hand contractions (15 ± 5 % MVC) on a handheld dynamometer under both single and dual task (i.e., counting backwards) conditions. EEG, EMG and force data were collected. OUTCOMES AND RESULTS The participant with DCD displayed poorer force steadiness and higher mental demand compared to the TD participant and in dual task conditions. The TD participant displayed a commonly observed pattern of CMC that was highly localised over the contralateral hand area, the DCD participant displayed a less localised CMC across cortical regions. CONCLUSIONS AND IMPLICATIONS These findings support the feasibility of measuring CMC in DCD populations and offer some, albeit preliminary, evidence of impaired communication between the brain and muscles in these individuals.
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Affiliation(s)
- J V V Parr
- Research Centre for Musculoskeletal Science and Sports Medicine, Department of Sport and Exercise Science, Manchester Metropolitan University, Manchester, UK
| | - E Hodson-Tole
- Research Centre for Musculoskeletal Science and Sports Medicine, Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - G Wood
- Research Centre for Musculoskeletal Science and Sports Medicine, Department of Sport and Exercise Science, Manchester Metropolitan University, Manchester, UK.
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14
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Cisotto G, Capuzzo M, Guglielmi AV, Zanella A. Feature stability and setup minimization for EEG-EMG-enabled monitoring systems. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2022; 2022:103. [PMID: 36320592 PMCID: PMC9612609 DOI: 10.1186/s13634-022-00939-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
Delivering health care at home emerged as a key advancement to reduce healthcare costs and infection risks, as during the SARS-Cov2 pandemic. In particular, in motor training applications, wearable and portable devices can be employed for movement recognition and monitoring of the associated brain signals. This is one of the contexts where it is essential to minimize the monitoring setup and the amount of data to collect, process, and share. In this paper, we address this challenge for a monitoring system that includes high-dimensional EEG and EMG data for the classification of a specific type of hand movement. We fuse EEG and EMG into the magnitude squared coherence (MSC) signal, from which we extracted features using different algorithms (one from the authors) to solve binary classification problems. Finally, we propose a mapping-and-aggregation strategy to increase the interpretability of the machine learning results. The proposed approach provides very low mis-classification errors ( < 0.1 ), with very few and stable MSC features ( < 10 % of the initial set of available features). Furthermore, we identified a common pattern across algorithms and classification problems, i.e., the activation of the centro-parietal brain areas and arm's muscles in 8-80 Hz frequency band, in line with previous literature. Thus, this study represents a step forward to the minimization of a reliable EEG-EMG setup to enable gesture recognition.
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Affiliation(s)
- Giulia Cisotto
- Department of Information Engineering, University of Padova, Via Gradenigo, 6, 35121 Padova, Italy
- Inter-University Consortium for Telecommunications (CNIT), Padova, Italy
- Department of Informatics, Systems and Communications, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milano, Italy
| | - Martina Capuzzo
- Department of Information Engineering, University of Padova, Via Gradenigo, 6, 35121 Padova, Italy
- Human Inspired Technologies Research Center, University of Padova, Via Luzzatti, 4, 35121 Padova, Italy
| | - Anna Valeria Guglielmi
- Department of Information Engineering, University of Padova, Via Gradenigo, 6, 35121 Padova, Italy
| | - Andrea Zanella
- Department of Information Engineering, University of Padova, Via Gradenigo, 6, 35121 Padova, Italy
- Inter-University Consortium for Telecommunications (CNIT), Padova, Italy
- Human Inspired Technologies Research Center, University of Padova, Via Luzzatti, 4, 35121 Padova, Italy
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15
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Sato SD, Choi JT. Corticospinal drive is associated with temporal walking adaptation in both healthy young and older adults. Front Aging Neurosci 2022; 14:920475. [PMID: 36062156 PMCID: PMC9436318 DOI: 10.3389/fnagi.2022.920475] [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: 04/14/2022] [Accepted: 07/20/2022] [Indexed: 11/13/2022] Open
Abstract
Healthy aging is associated with reduced corticospinal drive to leg muscles during walking. Older adults also exhibit slower or reduced gait adaptation compared to young adults. The objective of this study was to determine age-related changes in the contribution of corticospinal drive to ankle muscles during walking adaptation. Electromyography (EMG) from the tibialis anterior (TA), soleus (SOL), medial, and lateral gastrocnemius (MGAS, LGAS) were recorded from 20 healthy young adults and 19 healthy older adults while they adapted walking on a split-belt treadmill. We quantified EMG-EMG coherence in the beta-gamma (15-45 Hz) and alpha-band (8-15 Hz) frequencies. Young adults demonstrated higher coherence in both the beta-gamma band coherence and alpha band coherence, although effect sizes were greater in the beta-gamma frequency. The results showed that slow leg TA-TA coherence in the beta-gamma band was the strongest predictor of early adaptation in double support time. In contrast, early adaptation in step length symmetry was predicted by age group alone. These findings suggest an important role of corticospinal drive in adapting interlimb timing during walking in both young and older adults.
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Affiliation(s)
- Sumire D. Sato
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, United States
| | - Julia T. Choi
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, United States
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16
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Romanato M, Spolaor F, Beretta C, Fichera F, Bertoldo A, Volpe D, Sawacha Z. Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial. Contemp Clin Trials Commun 2022; 28:100926. [PMID: 35664504 PMCID: PMC9156880 DOI: 10.1016/j.conctc.2022.100926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/21/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- M. Romanato
- Department of Information Engineering, University of Padua, Padua, Italy
| | - F. Spolaor
- Department of Information Engineering, University of Padua, Padua, Italy
| | - C. Beretta
- Fresco Parkinson Center, Villa Margherita, S. Stefano, Vicenza, Italy
| | - F. Fichera
- Fresco Parkinson Center, Villa Margherita, S. Stefano, Vicenza, Italy
| | - A. Bertoldo
- Department of Information Engineering, University of Padua, Padua, Italy
| | - D. Volpe
- Fresco Parkinson Center, Villa Margherita, S. Stefano, Vicenza, Italy
| | - Z. Sawacha
- Department of Information Engineering, University of Padua, Padua, Italy
- Department of Medicine, University of Padua, Padua, Italy
- Corresponding author. Department of Information Engineering, University of Padova, Via Gradenigo 6B, 35131, Padova, Italy.
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17
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Rosenblum U, Melzer I, Zeilig G, Plotnik M. Muscle activation profile is modulated by unexpected balance loss in walking. Gait Posture 2022; 93:64-72. [PMID: 35091185 DOI: 10.1016/j.gaitpost.2022.01.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/30/2021] [Accepted: 01/16/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND During an unexpected loss of balance, avoiding a fall requires people to readjust their footing rapidly and effectively. A deeper understanding of muscle activation patterns in response to unexpected balance loss will provide insights into the mechanisms of balance recovery responses. This could have implications for treatment of people with balance deficits. RESEARCH QUESTION Explore the differences in balance recovery responses to perturbations in different phases of the gait cycle (single-support vs. double-support) in terms of biomechanical behavior (i.e., stepping and dynamic stability characteristics) and lower-limb muscle activation patterns. METHODS Muscle activation patterns of the ankle and knee muscles and muscle fiber type recruitment resulting from unannounced, mediolateral (i.e., right/left) horizontal-surface perturbations during walking was investigated in twenty healthy adults (27.00 ± 2.79 years, ten females). Surface electromyography (sEMG) total spectral power for specific frequency bands (40-60 Hz, 60-150 Hz, 150-250 Hz, 250-400 Hz and 400-1000 Hz), from tibialis anterior (TA) and vastus lateralis (VL) muscles were analyzed. Three mixed-effects models assessed behavioral and lower-limb muscle activation patterns resulting from perturbations in the gait cycle's single- and double-support phases. Statistical significance was set a priori at p < 0.05. RESULTS Compared to non-perturbed walking, we found a significant increase in the total spectral power of lower-extremity muscles during the first three seconds after perturbation. During the double-support phase of gait, we found a different muscle fiber type recruitment pattern between VL and TA muscles. However, there were no significant differences between VL and TA muscles for perturbations implemented in single-support phases. SIGNIFICANCE Our findings support the notion that muscle operating frequency is modulated in real-time to fit functional goal requirements, such as a rapid change of footing in response to unexpected loss of balance in single and double-support phases of gait.
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Affiliation(s)
- Uri Rosenblum
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Hashomer, Israel; Department of Physical Therapy, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
| | - Itshak Melzer
- Department of Physical Therapy, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Gabi Zeilig
- Department of Neurological Rehabilitation, Sheba Medical Center, Tel HaShomer, Israel; Department of Physical and Rehabilitation Medicine, Faculty of Medicine, Tel Aviv University, Israel; School of Health Professions, Ono Academic College, Kiryat Ono, Israel
| | - Meir Plotnik
- Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel Hashomer, Israel; Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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18
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Delcamp C, Cormier C, Chalard A, Amarantini D, Gasq D. Botulinum toxin injections combined with rehabilitation decrease corticomuscular coherence in stroke patients. Clin Neurophysiol 2022; 136:49-57. [DOI: 10.1016/j.clinph.2021.12.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/20/2021] [Accepted: 12/28/2021] [Indexed: 11/03/2022]
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19
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Liu H, Li B, Zhang M, Dai C, Xi P, Liu Y, Huang Q, He J, Lang Y, Tang R. Unexpected Terrain Induced Changes in Cortical Activity in Bipedal-Walking Rats. BIOLOGY 2021; 11:biology11010036. [PMID: 35053035 PMCID: PMC8773320 DOI: 10.3390/biology11010036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/25/2021] [Accepted: 12/26/2021] [Indexed: 11/23/2022]
Abstract
Simple Summary Most studies on cortical dynamics during walking require subjects to walk stably on specific terrain. In fact, humans or other animals are often disturbed by an abrupt change in terrains during walking. To study the impact of unexpected terrain on cortical activity, we analyzed the kinematics and electroencephalography (EEG) dynamics of bipedal-walking rats after encountering unexpected terrain. We found that the gait of rats after encountering the unexpected terrain were significantly different from normal walking. Furthermore, the activities of the left and right primary motor areas (M1), the left and right primary somatosensory areas (S1), and the retrosplenial area (RSP) are coupled to gait cycle phase and varied with the terrain conditions. These findings suggest that unexpected terrains induced changes in gait and cortical activity, and provide novel insights into cortical dynamics during walking. Abstract Humans and other animals can quickly respond to unexpected terrains during walking, but little is known about the cortical dynamics in this process. To study the impact of unexpected terrains on brain activity, we allowed rats with blocked vision to walk on a treadmill in a bipedal posture and then walk on an uneven area at a random position on the treadmill belt. Whole brain EEG signals and hind limb kinematics of bipedal-walking rats were recorded. After encountering unexpected terrain, the θ band power of the bilateral M1, the γ band power of the left S1, and the θ to γ band power of the RSP significantly decreased compared with normal walking. Furthermore, when the rats left uneven terrain, the β band power of the bilateral M1 and the α band power of the right M1 decreased, while the γ band power of the left M1 significantly increased compared with normal walking. Compared with the flat terrain, the θ to low β (3–20 Hz) band power of the bilateral S1 increased after the rats contacted the uneven terrain and then decreased in the single- or double- support phase. These results support the hypothesis that unexpected terrains induced changes in cortical activity.
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Affiliation(s)
- Honghao Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Bo Li
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Minjian Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Chuankai Dai
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Pengcheng Xi
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Yafei Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
| | - Qiang Huang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
- Beijing Innovation Centre for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China
| | - Jiping He
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China; (H.L.); (B.L.); (M.Z.); (C.D.); (P.X.); (Y.L.); (Q.H.); (J.H.)
- Beijing Innovation Centre for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China
| | - Yiran Lang
- Beijing Innovation Centre for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China
- Correspondence: (Y.L.); (R.T.)
| | - Rongyu Tang
- Beijing Innovation Centre for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China
- Correspondence: (Y.L.); (R.T.)
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20
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WANG LEI, LIU XIN, WU SHUOHUA, CHEN FANG, ZHENG YE, GUO GANG, XUAN YINGHUA, YAN GEN. CHANGES IN THE MICROSTRUCTURE AND FUNCTION OF BRAIN TISSUE IN PD BY DIFFUSION KURTOSIS IMAGING. J MECH MED BIOL 2021; 21. [DOI: 10.1142/s0219519421400625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
This study proposed to detect changes in brain microstructure in patients with Parkinson’s disease (PD) using diffusion kurtosis imaging (DKI) to quantitatively diagnose early-stage PD. Conventional magnetic resonance imaging and DKI scanning were performed in 24 patients with PD and in 12 age- and sex-matched healthy participants. Hoehn and Yahr (H–Y) stage and Unified Parkinson’s Disease Rating Scale-III (UPDRS-III) scores were obtained from both groups. The mean kurtosis (MK), axial kurtosis, and radial kurtosis of the bilateral substantia nigra on DKI were measured and compared between the two groups. The correlations between MK, H–Y stage, and UPDRS-III scores were determined. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of MK for PD in the substantia nigra. The MK value in the PD group was 0.971. The area under the ROC curve of the substantia nigra was 0.905; the sensitivity and specificity were 0.917 and 0.875, respectively, and the cutoff value was 1.046. The MK of the substantia nigra in the PD group had no significant correlation with the H–Y stages but was negatively correlated with the UPDRS-III scores ([Formula: see text]; [Formula: see text]). Our research identified DKI as a novel tool for the qualitative diagnosis of PD. The optimal MK value for PD diagnosis could be determined with ROC analysis.
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Affiliation(s)
- LEI WANG
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
| | - XIN LIU
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
| | - SHUOHUA WU
- Department of Medical Imaging, The 2nd Affiliated Hospital, Shantou University Medical College, Shantou, P. R. China
| | - FANG CHEN
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
| | - YE ZHENG
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
| | - GANG GUO
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
| | - YINGHUA XUAN
- Department of Basic Medicine, Xiamen Medical College, Xiamen, P. R. China
| | - GEN YAN
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, P. R. China
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21
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Pakniyat N, Namazi H. Complexity-Based Analysis of the Variations of Brain and Muscle Reactions in Walking and Standing Balance While Receiving Different Perturbations. Front Hum Neurosci 2021; 15:749082. [PMID: 34690727 PMCID: PMC8531105 DOI: 10.3389/fnhum.2021.749082] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 09/06/2021] [Indexed: 11/18/2022] Open
Abstract
In this article, we evaluated the variations of the brain and muscle activations while subjects are exposed to different perturbations to walking and standing balance. Since EEG and EMG signals have complex structures, we utilized the complexity-based analysis. Specifically, we analyzed the fractal dimension and sample entropy of Electroencephalogram (EEG) and Electromyogram (EMG) signals while subjects walked and stood, and received different perturbations in the form of pulling and rotation (via virtual reality). The results showed that the complexity of EEG signals was higher in walking than standing as the result of different perturbations. However, the complexity of EMG signals was higher in standing than walking as the result of different perturbations. Therefore, the alterations in the complexity of EEG and EMG signals are inversely correlated. This analysis could be extended to investigate simultaneous variations of rhythmic patterns of other physiological signals while subjects perform different activities.
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Affiliation(s)
| | - Hamidreza Namazi
- Incubator of Kinanthropology Research, Faculty of Sports Studies, Masaryk University, Brno, Czechia.,College of Engineering and Science, Victoria University, Melbourne, VIC, Australia
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22
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Bao SC, Chen C, Yuan K, Yang Y, Tong RKY. Disrupted cortico-peripheral interactions in motor disorders. Clin Neurophysiol 2021; 132:3136-3151. [PMID: 34749233 DOI: 10.1016/j.clinph.2021.09.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/08/2021] [Accepted: 09/19/2021] [Indexed: 11/15/2022]
Abstract
Motor disorders may arise from neurological damage or diseases at different levels of the hierarchical motor control system and side-loops. Altered cortico-peripheral interactions might be essential characteristics indicating motor dysfunctions. By integrating cortical and peripheral responses, top-down and bottom-up cortico-peripheral coupling measures could provide new insights into the motor control and recovery process. This review first discusses the neural bases of cortico-peripheral interactions, and corticomuscular coupling and corticokinematic coupling measures are addressed. Subsequently, methodological efforts are summarized to enhance the modeling reliability of neural coupling measures, both linear and nonlinear approaches are introduced. The latest progress, limitations, and future directions are discussed. Finally, we emphasize clinical applications of cortico-peripheral interactions in different motor disorders, including stroke, neurodegenerative diseases, tremor, and other motor-related disorders. The modified interaction patterns and potential changes following rehabilitation interventions are illustrated. Altered coupling strength, modified coupling directionality, and reorganized cortico-peripheral activation patterns are pivotal attributes after motor dysfunction. More robust coupling estimation methodologies and combination with other neurophysiological modalities might more efficiently shed light on motor control and recovery mechanisms. Future studies with large sample sizes might be necessary to determine the reliabilities of cortico-peripheral interaction measures in clinical practice.
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Affiliation(s)
- Shi-Chun Bao
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong
| | - Cheng Chen
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong
| | - Kai Yuan
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong
| | - Yuan Yang
- Stephenson School of Biomedical Engineering, University of Oklahoma, Tulsa, OK, USA; Laureate Institute for Brain Research, Tulsa, OK, USA; Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Raymond Kai-Yu Tong
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong.
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23
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Sato S, Choi JT. Neural Control of Human Locomotor Adaptation: Lessons about Changes with Aging. Neuroscientist 2021; 28:469-484. [PMID: 34014124 DOI: 10.1177/10738584211013723] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Walking patterns are adaptable in response to different environmental demands, which requires neural input from spinal and supraspinal structures. With an increase in age, there are changes in walking adaptation and in the neural control of locomotion, but the age-related changes in the neural control of locomotor adaptation is unclear. The purpose of this narrative review is to establish a framework where the age-related changes of neural control of human locomotor adaptation can be understood in terms of reactive feedback and predictive feedforward control driven by sensory feedback during locomotion. We parse out the effects of aging on (a) reactive adaptation to split-belt walking, (b) predictive adaptation to split-belt walking, (c) reactive visuomotor adaptation, and (d) predictive visuomotor adaptation, and hypothesize that specific neural circuits are influenced differentially with age, which influence locomotor adaptation. The differences observed in the age-related changes in walking adaptation across different locomotor adaptation paradigms will be discussed in light of the age-related changes in the neural mechanisms underlying locomotion.
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Affiliation(s)
- Sumire Sato
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, USA.,Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
| | - Julia T Choi
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, USA.,Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, USA
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Kearney J, Brittain JS. Sensory Attenuation in Sport and Rehabilitation: Perspective from Research in Parkinson's Disease. Brain Sci 2021; 11:580. [PMID: 33946218 PMCID: PMC8145846 DOI: 10.3390/brainsci11050580] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 04/27/2021] [Accepted: 04/29/2021] [Indexed: 11/16/2022] Open
Abstract
People with Parkinson's disease (PD) experience motor symptoms that are affected by sensory information in the environment. Sensory attenuation describes the modulation of sensory input caused by motor intent. This appears to be altered in PD and may index important sensorimotor processes underpinning PD symptoms. We review recent findings investigating sensory attenuation and reconcile seemingly disparate results with an emphasis on task-relevance in the modulation of sensory input. Sensory attenuation paradigms, across different sensory modalities, capture how two identical stimuli can elicit markedly different perceptual experiences depending on our predictions of the event, but also the context in which the event occurs. In particular, it appears as though contextual information may be used to suppress or facilitate a response to a stimulus on the basis of task-relevance. We support this viewpoint by considering the role of the basal ganglia in task-relevant sensory filtering and the use of contextual signals in complex environments to shape action and perception. This perspective highlights the dual effect of basal ganglia dysfunction in PD, whereby a reduced capacity to filter task-relevant signals harms the ability to integrate contextual cues, just when such cues are required to effectively navigate and interact with our environment. Finally, we suggest how this framework might be used to establish principles for effective rehabilitation in the treatment of PD.
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Affiliation(s)
- Joshua Kearney
- School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - John-Stuart Brittain
- Centre for Human Brain Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
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Glories D, Soulhol M, Amarantini D, Duclay J. Specific modulation of corticomuscular coherence during submaximal voluntary isometric, shortening and lengthening contractions. Sci Rep 2021; 11:6322. [PMID: 33737659 PMCID: PMC7973785 DOI: 10.1038/s41598-021-85851-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 03/03/2021] [Indexed: 01/31/2023] Open
Abstract
During voluntary contractions, corticomuscular coherence (CMC) is thought to reflect a mutual interaction between cortical and muscle oscillatory activities, respectively measured by electroencephalography (EEG) and electromyography (EMG). However, it remains unclear whether CMC modulation would depend on the contribution of neural mechanisms acting at the spinal level. To this purpose, modulations of CMC were compared during submaximal isometric, shortening and lengthening contractions of the soleus (SOL) and the medial gastrocnemius (MG) with a concurrent analysis of changes in spinal excitability that may be reduced during lengthening contractions. Submaximal contractions intensity was set at 50% of the maximal SOL EMG activity. CMC was computed in the time-frequency domain between the Cz EEG electrode signal and the unrectified SOL or MG EMG signal. Spinal excitability was quantified through normalized Hoffmann (H) reflex amplitude. The results indicate that beta-band CMC and normalized H-reflex were significantly lower in SOL during lengthening compared with isometric contractions, but were similar in MG for all three muscle contraction types. Collectively, these results highlight an effect of contraction type on beta-band CMC, although it may differ between agonist synergist muscles. These novel findings also provide new evidence that beta-band CMC modulation may involve spinal regulatory mechanisms.
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Affiliation(s)
- Dorian Glories
- grid.15781.3a0000 0001 0723 035XToNIC, Université de Toulouse, Inserm, UPS, Toulouse, France ,grid.15781.3a0000 0001 0723 035XFaculty of Sport Science, University Paul Sabatier, Toulouse, France
| | - Mathias Soulhol
- grid.15781.3a0000 0001 0723 035XToNIC, Université de Toulouse, Inserm, UPS, Toulouse, France ,grid.15781.3a0000 0001 0723 035XFaculty of Sport Science, University Paul Sabatier, Toulouse, France
| | - David Amarantini
- grid.15781.3a0000 0001 0723 035XToNIC, Université de Toulouse, Inserm, UPS, Toulouse, France ,grid.15781.3a0000 0001 0723 035XFaculty of Sport Science, University Paul Sabatier, Toulouse, France
| | - Julien Duclay
- grid.15781.3a0000 0001 0723 035XToNIC, Université de Toulouse, Inserm, UPS, Toulouse, France ,grid.15781.3a0000 0001 0723 035XFaculty of Sport Science, University Paul Sabatier, Toulouse, France
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26
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Cai Y, Feng F, Wei Q, Jiang Z, Ou R, Shang H. Sarcopenia in Patients With Parkinson's Disease: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:598035. [PMID: 33746871 PMCID: PMC7973225 DOI: 10.3389/fneur.2021.598035] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 01/19/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Parkinson's disease (PD) and sarcopenia are two common diseases in aging people. To date, the prevalence of sarcopenia in PD patients and the relationship between clinical features and sarcopenia in PD patients are not clear. The aim of the study was to (1) assess the prevalence of sarcopenia in PD patients and (2) reveal the clinical features between PD patients with and without sarcopenia. Method: A systematic review was carried out through screening PubMed, EMBASE, and Cochrane database in May 2020. All study designs (case-control, cohort, and cross-sectional studies) were eligible for meta-analysis. Data of patients' characteristics, sarcopenia criteria, sarcopenia prevalence, and sarcopenia measures were retrieved. The primary outcome was estimated prevalence of sarcopenia by a pooled prevalence (%) and its 95% confidence interval (CI), using a random-effects model. The secondary outcome was the differences in clinical features between PD patients with and without sarcopenia by meta-analysis. Included articles were assessed for risk of bias. Potential sources of variation were investigated by using subgroup analyses and meta-regression. Result: Ten studies were included in the review. Among them, nine were cross-sectional studies, and one was a prospective cohort study. Age of participants with PD in the studies ranged from 51.1 to 80.7 years. The estimated prevalence of sarcopenia ranged from 6 to 55.5%. The random-effects pooled prevalence was 29% (95% CIs: 0.18-0.40). When only studies at low risk of bias were considered, pooled prevalence decreased to 17% (95% CIs: 0.02-0.33), with still high heterogeneity. The incidence of falls in PD patients with sarcopenia was higher than that in PD patients without sarcopenia. There was no difference in sex ratio between PD patients with and without sarcopenia. Conclusion: Sarcopenia seems to be common in patients with PD. Early assessment of sarcopenia should be implemented in PD to avoid fall and disability.
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Affiliation(s)
- Yingying Cai
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.,Department of Geriatrics, Clinical Medical College and The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Fei Feng
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Qianqian Wei
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Zheng Jiang
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Huifang Shang
- Laboratory of Neurodegenerative Disorders, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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27
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Gennaro F, de Bruin ED. A pilot study assessing reliability and age-related differences in corticomuscular and intramuscular coherence in ankle dorsiflexors during walking. Physiol Rep 2021; 8:e14378. [PMID: 32109345 PMCID: PMC7048377 DOI: 10.14814/phy2.14378] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 01/29/2020] [Accepted: 02/01/2020] [Indexed: 12/11/2022] Open
Abstract
Corticomuscular (CMC) and intramuscular (intraMC) coherence represent measures of corticospinal interaction. Both CMC and intraMC can be assessed during human locomotion tasks, for example, while walking. Corticospinal control of gait can deteriorate during the aging process and CMC and intraMC may represent an important monitoring means. However, it is unclear whether such assessments represent a reliable tool when performed during walking in an ecologically valid scenario and whether age‐related differences may occur. Wireless surface electroencephalography and electromyography were employed in a pilot study with young and old adults during overground walking in two separate sessions. CMC and intraMC analyses were performed in the gathered beta and lower gamma frequencies (i.e., 13–40 Hz). Significant log‐transformed coherence area was tested for intersessions test–retest reliability by determining intraclass correlation coefficient (ICC), yielding to low reliability in CMC in both younger and older adults. intraMC exclusively showed low reliability in the older adults, whereas intraMC in the younger adults revealed similar values as previously reported: test–retest reliability [ICC (95% CI): 0.44 (−0.23, 0.87); SEM: 0.46; MDC: 1.28; MDC%: 103; Hedge's g (95% CI): 0.54 (−0.13, 1.57)]. Significant differences between the age groups were observed in intraMC by either comparing the two groups with the first test [Hedge's g (95% CI): 1.55 (0.85, 2.15); p‐value: .006] or with the retest data [Hedge's g (95% CI): 2.24 (0.73, 3.70); p‐value: .005]. Notwithstanding the small sample size investigated, intraMC seems a moderately reliable assessment in younger adults. The further development and use of this measure in practical settings to infer corticospinal interaction in human locomotion in clinical practice is warranted and should help to refine the analysis. This necessitates involving larger sample sizes as well as including a wider number of lower limb muscles. Moreover, further research seems warranted by the observed differences in modulation mechanisms of corticospinal control of gait as ascertained by intraMC between the age groups.
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Affiliation(s)
- Federico Gennaro
- Department of Health Sciences and Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland
| | - Eling D de Bruin
- Department of Health Sciences and Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, Zurich, Switzerland.,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Celik Y, Stuart S, Woo WL, Godfrey A. Gait analysis in neurological populations: Progression in the use of wearables. Med Eng Phys 2020; 87:9-29. [PMID: 33461679 DOI: 10.1016/j.medengphy.2020.11.005] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/02/2020] [Accepted: 11/11/2020] [Indexed: 12/19/2022]
Abstract
Gait assessment is an essential tool for clinical applications not only to diagnose different neurological conditions but also to monitor disease progression as it contributes to the understanding of underlying deficits. There are established methods and models for data collection and interpretation of gait assessment within different pathologies. This narrative review aims to depict the evolution of gait assessment from observation and rating scales to wearable sensors and laboratory technologies and provide limitations and possible future directions in the field of gait assessment. In this context, we first present an extensive review of current clinical outcomes and gait models. Then, we demonstrate commercially available wearable technologies with their technical capabilities along with their use in gait assessment studies for various neurological conditions. In the next sections, a descriptive knowledge for existing inertial and EMG based algorithms and a sign based guide that shows the outcomes of previous neurological gait assessment studies are presented. Finally, we state a discussion for the use of wearables in gait assessment and speculate the possible research directions by revealing the limitations and knowledge gaps in the literature.
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Affiliation(s)
- Y Celik
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
| | - S Stuart
- Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
| | - W L Woo
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
| | - A Godfrey
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
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29
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Marquez JS, Hasan SMS, Siddiquee MR, Luca CC, Mishra VR, Mari Z, Bai O. Neural Correlates of Freezing of Gait in Parkinson's Disease: An Electrophysiology Mini-Review. Front Neurol 2020; 11:571086. [PMID: 33240199 PMCID: PMC7683766 DOI: 10.3389/fneur.2020.571086] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/23/2020] [Indexed: 12/13/2022] Open
Abstract
Freezing of gait (FoG) is a disabling symptom characterized as a brief inability to step or by short steps, which occurs when initiating gait or while turning, affecting over half the population with advanced Parkinson's disease (PD). Several non-competing hypotheses have been proposed to explain the pathophysiology and mechanism behind FoG. Yet, due to the complexity of FoG and the lack of a complete understanding of its mechanism, no clear consensus has been reached on the best treatment options. Moreover, most studies that aim to explore neural biomarkers of FoG have been limited to semi-static or imagined paradigms. One of the biggest unmet needs in the field is the identification of reliable biomarkers that can be construed from real walking scenarios to guide better treatments and validate medical and therapeutic interventions. Advances in neural electrophysiology exploration, including EEG and DBS, will allow for pathophysiology research on more real-to-life scenarios for better FoG biomarker identification and validation. The major aim of this review is to highlight the most up-to-date studies that explain the mechanisms underlying FoG through electrophysiology explorations. The latest methodological approaches used in the neurophysiological study of FoG are summarized, and potential future research directions are discussed.
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Affiliation(s)
- J. Sebastian Marquez
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - S. M. Shafiul Hasan
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - Masudur R. Siddiquee
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
| | - Corneliu C. Luca
- Department of Neurology, University of Miami Hospital, Miami, FL, United States
| | - Virendra R. Mishra
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States
| | - Zoltan Mari
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States
| | - Ou Bai
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, United States
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30
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Wang DD, Choi JT. Brain Network Oscillations During Gait in Parkinson's Disease. Front Hum Neurosci 2020; 14:568703. [PMID: 33192399 PMCID: PMC7645204 DOI: 10.3389/fnhum.2020.568703] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 09/29/2020] [Indexed: 11/15/2022] Open
Abstract
Human bipedal walking is a complex motor task that requires supraspinal control for balance and flexible coordination of timing and scaling of many muscles in different environment. Gait impairments are a hallmark of Parkinson’s disease (PD), reflecting dysfunction of cortico-basal ganglia-brainstem circuits. Recent studies using implanted electrodes and surface electroencephalography have demonstrated gait-related brain oscillations in the basal ganglia and cerebral cortex. Here, we review the physiological and pathophysiological roles of (1) basal ganglia oscillations, (2) cortical oscillations, and (3) basal ganglia-cortical interactions during walking. These studies extend a novel framework for movement of disorders where specific patterns of abnormal oscillatory synchronization in the basal ganglia thalamocortical network are associated with specific signs and symptoms. Therefore, we propose that many gait dysfunctions in PD arise from derangements in brain network, and discuss potential therapies aimed at restoring gait impairments through modulation of brain network in PD.
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Affiliation(s)
- Doris D Wang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Julia T Choi
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
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31
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Rhythmic neural activity is comodulated with short-term gait modifications during first-time use of a dummy prosthesis: a pilot study. J Neuroeng Rehabil 2020; 17:134. [PMID: 33032621 PMCID: PMC7542708 DOI: 10.1186/s12984-020-00761-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 09/16/2020] [Indexed: 01/10/2023] Open
Abstract
Background After transfemoral amputation, many hours of practice are needed to re-learn walking with a prosthesis. The long adaptation process that consolidates a novel gait pattern seems to depend on cerebellar function for reinforcement of specific gait modifications, but the precise, step-by-step gait modifications (e.g., foot placement) most likely rely on top-down commands from the brainstem and cerebral cortex. The aim of this study was to identify, in able-bodied individuals, the specific modulations of cortical rhythms that accompany short-term gait modifications during first-time use of a dummy prosthesis. Methods Fourteen naïve participants walked on a treadmill without (one block, 4 min) and with a dummy prosthesis (three blocks, 3 × 4 min), while ground reaction forces and 32-channel EEG were recorded. Gait cycle duration, stance phase duration, step width, maximal ground reaction force and, ground reaction force trace over time were measured to identify gait modifications. Independent component analysis of EEG data isolated brain-related activity from distinct anatomical sources. The source-level data were segmented into gait cycles and analyzed in the time–frequency domain to reveal relative enhancement or suppression of intrinsic cortical oscillations. Differences between walking conditions were evaluated with one-way ANOVA and post-hoc testing (α = 0.05). Results Immediate modifications occurred in the gait parameters when participants were introduced to the dummy prosthesis. Except for gait cycle duration, these modifications remained throughout the duration of the experimental session. Power modulations of the theta, mu, beta, and gamma rhythms, of sources presumably from the fronto-central and the parietal cortices, were found across the experimental session. Significant power modulations of the theta, beta, and gamma rhythms within the gait cycle were predominately found around the heel strike of both feet and the swing phase of the right (prosthetic) leg. Conclusions The modulations of cortical activity could be related to whole-body coordination, including the swing phase and placing of the prosthesis, and the bodyweight transfer between legs and arms. Reduced power modulation of the gamma rhythm within the experimental session may indicate initial motor memories being formed. Better understanding of the sensorimotor processes behind gait modifications may inform the development of neurofeedback strategies to assist gait rehabilitation.
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32
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Dos Santos PCR, Lamoth CJC, Barbieri FA, Zijdewind I, Gobbi LTB, Hortobágyi T. Age-specific modulation of intermuscular beta coherence during gait before and after experimentally induced fatigue. Sci Rep 2020; 10:15854. [PMID: 32985547 PMCID: PMC7522269 DOI: 10.1038/s41598-020-72839-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/07/2020] [Indexed: 12/19/2022] Open
Abstract
We examined the effects of age on intermuscular beta-band (15–35 Hz) coherence during treadmill walking before and after experimentally induced fatigue. Older (n = 12) and younger (n = 12) adults walked on a treadmill at 1.2 m/s for 3 min before and after repetitive sit-to-stand, rSTS, to induce muscle fatigability. We measured stride outcomes and coherence from 100 steps in the dominant leg for the synergistic (biceps femoris (BF)-semitendinosus, rectus femoris (RF)-vastus lateralis (VL), gastrocnemius lateralis (GL)-Soleus (SL), tibialis anterior (TA)-peroneus longus (PL)) and for the antagonistic (RF-BF and TA-GL) muscle pairs at late swing and early stance. Older vs. younger adults had 43–62% lower GL-SL, RF-VL coherence in swing and TA-PL and RF-VL coherence in stance. After rSTS, RF-BF coherence in late swing decreased by ~ 20% and TA-PL increased by 16% independent of age (p = 0.02). Also, GL-SL coherence decreased by ~ 23% and increased by ~ 23% in younger and older, respectively. Age affects the oscillatory coupling between synergistic muscle pairs, delivered presumably via corticospinal tracts, during treadmill walking. Muscle fatigability elicits age-specific changes in the common fluctuations in muscle activity, which could be interpreted as a compensation for muscle fatigability to maintain gait performance.
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Affiliation(s)
- Paulo Cezar Rocha Dos Santos
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. .,Posture and Gait Studies Laboratory (LEPLO), Institute of Biosciences, Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro, Brazil. .,Department of Human Movement Sciences, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
| | - Claudine J C Lamoth
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fabio Augusto Barbieri
- Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Graduate Program in Movement Sciences, São Paulo State University (UNESP), Bauru, Brazil
| | - Inge Zijdewind
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lilian Teresa Bucken Gobbi
- Posture and Gait Studies Laboratory (LEPLO), Institute of Biosciences, Graduate Program in Movement Sciences, São Paulo State University (UNESP), Rio Claro, Brazil
| | - Tibor Hortobágyi
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Naro A, Pignolo L, Sorbera C, Latella D, Billeri L, Manuli A, Portaro S, Bruschetta D, Calabrò RS. A Case-Controlled Pilot Study on Rhythmic Auditory Stimulation-Assisted Gait Training and Conventional Physiotherapy in Patients With Parkinson's Disease Submitted to Deep Brain Stimulation. Front Neurol 2020; 11:794. [PMID: 32849240 PMCID: PMC7417712 DOI: 10.3389/fneur.2020.00794] [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: 03/17/2020] [Accepted: 06/25/2020] [Indexed: 01/13/2023] Open
Abstract
Deep brain stimulation (DBS) is indicated when motor disturbances in patients with idiopathic Parkinson's disease (PD) are refractory to current treatment options and significantly impair quality of life. However, post–DBS rehabilitation is essential, with particular regard to gait. Rhythmic auditory stimulation (RAS)-assisted treadmill gait rehabilitation within conventional physiotherapy program plays a major role in gait recovery. We explored the effects of a monthly RAS–assisted treadmill training within a conventional physiotherapy program on gait performance and gait-related EEG dynamics (while walking on the RAS–aided treadmill) in PD patients with (n = 10) and without DBS (n = 10). Patients with DBS achieved superior results than those without DBS concerning gait velocity, overall motor performance, and the timed velocity and self-confidence in balance, sit-to-stand (and vice versa) and walking, whereas both groups improved in dynamic and static balance, overall cognitive performance, and the fear of falling. The difference in motor outcomes between the two groups was paralleled by a stronger remodulation of gait cycle–related beta oscillations in patients with DBS as compared to those without DBS. Our work suggests that RAS-assisted gait training plus conventional physiotherapy is a useful strategy to improve gait performance in PD patients with and without DBS. Interestingly, patients with DBS may benefit more from this approach owing to a more focused and dynamic re–configuration of sensorimotor network beta oscillations related to gait secondary to the association between RAS-treadmill, conventional physiotherapy, and DBS. Actually, the coupling of these approaches may help restoring a residually altered beta–band response profile despite DBS intervention, thus better tailoring the gait rehabilitation of these PD patients.
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Affiliation(s)
- Antonino Naro
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Loris Pignolo
- S. Anna Institute, Research in Advanced Neurorehabilitation (RAN), Crotone, Italy
| | - Chiara Sorbera
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Desiree Latella
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Luana Billeri
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Alfredo Manuli
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Simona Portaro
- IRCCS Centro Neurolesi Bonino Pulejo - Piemonte, Messina, Italy
| | - Daniele Bruschetta
- Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy
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34
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Gennaro F, Maino P, Kaelin-Lang A, De Bock K, de Bruin ED. Corticospinal Control of Human Locomotion as a New Determinant of Age-Related Sarcopenia: An Exploratory Study. J Clin Med 2020; 9:E720. [PMID: 32155951 PMCID: PMC7141202 DOI: 10.3390/jcm9030720] [Citation(s) in RCA: 5] [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: 01/21/2020] [Revised: 02/25/2020] [Accepted: 03/02/2020] [Indexed: 12/11/2022] Open
Abstract
Sarcopenia is a muscle disease listed within the ICD-10 classification. Several operational definitions have been created for sarcopenia screening; however, an international consensus is lacking. The Centers for Disease Control and Prevention have recently recognized that sarcopenia detection requires improved diagnosis and screening measures. Mounting evidence hints towards changes in the corticospinal communication system where corticomuscular coherence (CMC) reflects an effective mechanism of corticospinal interaction. CMC can be assessed during locomotion by means of simultaneously measuring Electroencephalography (EEG) and Electromyography (EMG). The aim of this study was to perform sarcopenia screening in community-dwelling older adults and explore the possibility of using CMC assessed during gait to discriminate between sarcopenic and non-sarcopenic older adults. Receiver Operating Characteristic (ROC) curves showed high sensitivity, precision and accuracy of CMC assessed from EEG Cz sensor and EMG sensors located over Musculus Vastus Medialis [Cz-VM; AUC (95.0%CI): 0.98 (0.92-1.04), sensitivity: 1.00, 1-specificity: 0.89, p < 0.001] and with Musculus Biceps Femoris [Cz-BF; AUC (95.0%CI): 0.86 (0.68-1.03), sensitivity: 1.00, 1-specificity: 0.70, p < 0.001]. These muscles showed significant differences with large magnitude of effect between sarcopenic and non-sarcopenic older adults [Hedge's g (95.0%CI): 2.2 (1.3-3.1), p = 0.005 and Hedge's g (95.0%CI): 1.5 (0.7-2.2), p = 0.010; respectively]. The novelty of this exploratory investigation is the hint toward a novel possible determinant of age-related sarcopenia, derived from corticospinal control of locomotion and shown by the observed large differences in CMC when sarcopenic and non-sarcopenic older adults are compared. This, in turn, might represent in future a potential treatment target to counteract sarcopenia as well as a parameter to monitor the progression of the disease and/or the potential recovery following other treatment interventions.
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Affiliation(s)
- Federico Gennaro
- Department of Health Sciences and Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, 8093 Zurich, Switzerland; (K.D.B.); (E.D.d.B.)
| | - Paolo Maino
- Pain Management Center, Neurocenter of Southern Switzerland, Regional Hospital of Lugano, 6962 Lugano, Switzerland;
| | - Alain Kaelin-Lang
- Neurocenter of Southern Switzerland, Regional Hospital of Lugano, 6900 Lugano, Switzerland;
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6900 Lugano, Switzerland
- Medical faculty, University of Bern, 3008 Bern, Switzerland
| | - Katrien De Bock
- Department of Health Sciences and Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, 8093 Zurich, Switzerland; (K.D.B.); (E.D.d.B.)
| | - Eling D. de Bruin
- Department of Health Sciences and Technology, Institute of Human Movement Sciences and Sport, ETH Zurich, 8093 Zurich, Switzerland; (K.D.B.); (E.D.d.B.)
- Department of Neurobiology, Division of Physiotherapy, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden
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