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Mohamed AK, Aswat M, Aharonson V. Low-Cost Dynamometer for Measuring and Regulating Wrist Extension and Flexion Motor Tasks in Electroencephalography Experiments. SENSORS (BASEL, SWITZERLAND) 2024; 24:5801. [PMID: 39275712 PMCID: PMC11397987 DOI: 10.3390/s24175801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 08/26/2024] [Accepted: 09/02/2024] [Indexed: 09/16/2024]
Abstract
A brain-computer interface could control a bionic hand by interpreting electroencephalographic (EEG) signals associated with wrist extension (WE) and wrist flexion (WF) movements. Misinterpretations of the EEG may stem from variations in the force, speed and range of these movements. To address this, we designed, constructed and tested a novel dynamometer, the IsoReg, which regulates WE and WF movements during EEG recording experiments. The IsoReg restricts hand movements to isometric WE and WF, controlling their speed and range of motion. It measures movement force using a dual-load cell system that calculates the percentage of maximum voluntary contraction and displays it to help users control movement force. Linearity and measurement accuracy were tested, and the IsoReg's performance was evaluated under typical EEG experimental conditions with 14 participants. The IsoReg demonstrated consistent linearity between applied and measured forces across the required force range, with a mean accuracy of 97% across all participants. The visual force gauge provided normalised force measurements with a mean accuracy exceeding 98.66% across all participants. All participants successfully controlled the motor tasks at the correct relative forces (with a mean accuracy of 89.90%) using the IsoReg, eliminating the impact of inherent force differences between typical WE and WF movements on the EEG analysis. The IsoReg offers a low-cost method for measuring and regulating movements in future neuromuscular studies, potentially leading to improved neural signal interpretation.
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Affiliation(s)
- Abdul-Khaaliq Mohamed
- School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg 2050, South Africa
| | - Muhammed Aswat
- School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg 2050, South Africa
| | - Vered Aharonson
- School of Electrical and Information Engineering, University of Witwatersrand, Johannesburg 2050, South Africa
- Medical School, University of Nicosia, Nicosia 2421, Cyprus
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2
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Tsurugizawa T, Taki A, Zalesky A, Kasahara K. Increased interhemispheric functional connectivity during non-dominant hand movement in right-handed subjects. iScience 2023; 26:107592. [PMID: 37705959 PMCID: PMC10495657 DOI: 10.1016/j.isci.2023.107592] [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: 01/17/2023] [Revised: 05/15/2023] [Accepted: 08/07/2023] [Indexed: 09/15/2023] Open
Abstract
Hand preference is one of the behavioral expressions of lateralization in the brain. Previous fMRI studies showed the activation in several regions including the motor cortex and the cerebellum during single-hand movement. However, functional connectivity related to hand preference has not been investigated. Here, we used the generalized psychophysiological interaction (gPPI) approach to investigate the alteration of functional connectivity during single-hand movement from the resting state in right-hand subjects. The functional connectivity in interhemispheric motor-related regions including the supplementary motor area, the precentral gyrus, and the cerebellum was significantly increased during non-dominant hand movement, while functional connectivity was not increased during dominant hand movement. The general linear model (GLM) showed activation in contralateral supplementary motor area, contralateral precentral gyrus, and ipsilateral cerebellum during right- or left-hand movement. These results indicate that a combination of GLM and gPPI analysis can detect the lateralization of hand preference more clearly.
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Affiliation(s)
- Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba-City, Ibaraki 305-8568, Japan
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba 305-8573, Japan
| | - Ai Taki
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba-City, Ibaraki 305-8568, Japan
- Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba 305-8573, Japan
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba-City, Ibaraki 305-8568, Japan
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3
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Wu YT, Lee AY, Choi NY, Park SA. Psychophysiological Responses of Cut Flower Fragrances as an Olfactory Stimulation by Measurement of Electroencephalogram in Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11639. [PMID: 36141903 PMCID: PMC9517035 DOI: 10.3390/ijerph191811639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/12/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
Horticultural therapy (HT) is green care that can help improve and recover the health of modern people living in cities through natural experiences. Many studies have been conducted to determine HT's therapeutic effects and underlying mechanisms, but investigation for developing readily applicable clinical techniques is insufficient. We aimed to investigate adults' brain activity and emotional state during flower arrangement (FA) with different flowers in an HT program. We recruited thirty adults and used a randomized cross-over study method to set them to participate in five FA tasks at 90-s intervals. While performing FA tasks, the participants' prefrontal cortex brain waves were measured by a wireless electroencephalography device and their emotional states between FA tasks were measured by questionnaires. Results showed that each FA task resulted in a different attention level of the participants. The participants showed the highest attention level during FA with stocks and carnations, while FA with lilies showed the lowest attention level among the five FA tasks. Instead, the participants showed the highest arousal, tension, and anxiety for emotional states during FA with lilies. Therefore, this study confirmed the differences in attention level and emotional changes according to flower types for using clinical techniques of HT for various clients.
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Affiliation(s)
- Yu-Tong Wu
- Department of Bio and Healing Convergence, Graduate School, Konkuk University, Seoul 05029, Korea
- Plant, Environment, and Health Lab, Konkuk University, Seoul 05029, Korea
| | - A-Young Lee
- Plant, Environment, and Health Lab, Konkuk University, Seoul 05029, Korea
- Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei 106032, Taiwan
| | - Na-Yoon Choi
- Department of Bio and Healing Convergence, Graduate School, Konkuk University, Seoul 05029, Korea
- Plant, Environment, and Health Lab, Konkuk University, Seoul 05029, Korea
| | - Sin-Ae Park
- Plant, Environment, and Health Lab, Konkuk University, Seoul 05029, Korea
- Department of Systems Biotechnology, Konkuk University, Seoul 05029, Korea
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4
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Schranz C, Vatinno A, Ramakrishnan V, Seo NJ. Neuroplasticity after upper-extremity rehabilitation therapy with sensory stimulation in chronic stroke survivors. Brain Commun 2022; 4:fcac191. [PMID: 35938072 PMCID: PMC9351980 DOI: 10.1093/braincomms/fcac191] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 04/19/2022] [Accepted: 07/21/2022] [Indexed: 01/16/2023] Open
Abstract
This study investigated the effect of using subthreshold vibration as a peripheral sensory stimulation during therapy on cortical activity. Secondary analysis of a pilot triple-blinded randomized controlled trial. Twelve chronic stroke survivors underwent 2-week upper-extremity task-practice therapy. Half received subthreshold vibratory stimulation on their paretic wrist (treatment group) and the other half did not (control). EEG connectivity and event-related de-/resynchronization for the sensorimotor network during hand grip were examined at pre-intervention, post-intervention and follow-up. Statistically significant group by time interactions were observed for both connectivity and event-related spectral perturbation. For the treatment group, connectivity increased at post-intervention and decreased at follow-up. Event-related desynchronization decreased and event-related resynchronization increased at post-intervention, which was maintained at follow-up. The control group had the opposite trend for connectivity and no change in event-related spectral perturbation. The stimulation altered cortical sensorimotor activity. The findings complement the clinical results of the trial in which the treatment group significantly improved gross manual dexterity while the control group did not. Increased connectivity in the treatment group may indicate neuroplasticity for motor learning, while reduced event-related desynchronization and increased event-related resynchronization may indicate lessened effort for grip and improved inhibitory control. EEG may improve understanding of neural processes underlying motor recovery.
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Affiliation(s)
- Christian Schranz
- Correspondence to: Christian Schranz, PhD 77 President Street, Charleston SC 29425, USA E-mail:
| | - Amanda Vatinno
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Viswanathan Ramakrishnan
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Na Jin Seo
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC 29425, USA,Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC 29425, USA,Ralph H. Johnson VA Medical Center, Charleston, SC 29401, USA
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5
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Rosso C, Moulton EJ, Kemlin C, Leder S, Corvol JC, Mehdi S, Obadia MA, Obadia M, Yger M, Meseguer E, Perlbarg V, Valabregue R, Magno S, Lindberg P, Meunier S, Lamy JC. Cerebello-Motor Paired Associative Stimulation and Motor Recovery in Stroke: a Randomized, Sham-Controlled, Double-Blind Pilot Trial. Neurotherapeutics 2022; 19:491-500. [PMID: 35226342 PMCID: PMC9226244 DOI: 10.1007/s13311-022-01205-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2022] [Indexed: 12/27/2022] Open
Abstract
Cerebellum is a key structure for functional motor recovery after stroke. Enhancing the cerebello-motor pathway by paired associative stimulation (PAS) might improve upper limb function. Here, we conducted a randomized, double-blind, sham-controlled pilot trial investigating the efficacy of a 5-day treatment of cerebello-motor PAS coupled with physiotherapy for promoting upper limb motor function compared to sham stimulation. The secondary objectives were to determine in the active treated group (i) whether improvement of upper limb motor function was associated with changes in corticospinal excitability or changes in functional activity in the primary motor cortex and (ii) whether improvements were correlated to the structural integrity of the input and output pathways. To that purpose, hand dexterity and maximal grip strength were assessed along with TMS recordings and multimodal magnetic resonance imaging, before the first treatment, immediately after the last one and a month later. Twenty-seven patients were analyzed. Cerebello-motor PAS was effective compared to sham in improving hand dexterity (p: 0.04) but not grip strength. This improvement was associated with increased activation in the ipsilesional primary motor cortex (p: 0.04). Moreover, the inter-individual variability in clinical improvement was partly explained by the structural integrity of the afferent (p: 0.06) and efferent pathways (p: 0.02) engaged in this paired associative stimulation (i.e., cortico-spinal and dentato-thalamo-cortical tracts). In conclusion, cerebello-motor-paired associative stimulation combined with physiotherapy might be a promising approach to enhance upper limb motor function after stroke.Clinical Trial Registration URL: http://www.clinicaltrials.gov . Unique identifier: NCT02284087.
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Affiliation(s)
- Charlotte Rosso
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France.
- ICM Infrastructure Stroke Network, STAR Team, Hôpital Pitié-Salpêtrière, 75013, Paris, France.
- AP-HP, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, DMU Neuroscience 6, 47-83 Boulevard de l'Hôpital, 75013, Paris, France.
| | - Eric Jr Moulton
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- ICM Infrastructure Stroke Network, STAR Team, Hôpital Pitié-Salpêtrière, 75013, Paris, France
| | - Claire Kemlin
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- ICM Infrastructure Stroke Network, STAR Team, Hôpital Pitié-Salpêtrière, 75013, Paris, France
| | - Sara Leder
- AP-HP, Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, DMU Neuroscience 6, 47-83 Boulevard de l'Hôpital, 75013, Paris, France
| | - Jean-Christophe Corvol
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- ICM Infrastructure Stroke Network, STAR Team, Hôpital Pitié-Salpêtrière, 75013, Paris, France
- AP-HP, Hôpital Pitié-Salpêtrière, Département de neurologieDMU Neuroscience 6, 75013, Paris, France
| | - Sophien Mehdi
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Centre de Neuro-Imagerie de Recherche, Institut du Cerveau, CENIR, Paris Brain Institute - ICM, 75013, Paris, France
| | - Mickael A Obadia
- Service de Neurologie, Fondation Rothschild, 75019, Paris, France
| | - Mickael Obadia
- Service de Neurologie, Fondation Rothschild, 75019, Paris, France
| | - Marion Yger
- AP-HP, Hôpital Saint Antoine, Unité neurovasculaire, 75012, Paris, France
| | - Elena Meseguer
- AP-HP, Service de Neurologie, Hôpital Bichat, 75018, Paris, France
- Laboratory for Vascular Translational Science, INSERM UMRS1148, 75018, Paris, France
| | - Vincent Perlbarg
- Centre de Neuro-Imagerie de Recherche, Institut du Cerveau, CENIR, Paris Brain Institute - ICM, 75013, Paris, France
| | - Romain Valabregue
- Centre de Neuro-Imagerie de Recherche, Institut du Cerveau, CENIR, Paris Brain Institute - ICM, 75013, Paris, France
| | - Serena Magno
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- ICM Infrastructure Stroke Network, STAR Team, Hôpital Pitié-Salpêtrière, 75013, Paris, France
| | - Pavel Lindberg
- Inserm U894, Université Paris Descartes, 75013, Paris, France
| | - Sabine Meunier
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Charles Lamy
- Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
- Centre de Neuro-Imagerie de Recherche, Institut du Cerveau, CENIR, Paris Brain Institute - ICM, 75013, Paris, France
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6
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Logue RN, Goldenkoff ER, Vesia M, Brown SH. Measuring hand sensory function and force control in older adults: Are current hand assessment tools enough? J Gerontol A Biol Sci Med Sci 2021; 77:1405-1412. [PMID: 34908115 DOI: 10.1093/gerona/glab368] [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: 07/01/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The ability to grasp and manipulate objects is essential for performing activities of daily living. However, there is limited information regarding age-related behavioral differences in hand sensorimotor function due, in part, to the lack of assessment tools capable of measuring subtle but important differences in hand function. The purpose of this study was to demonstrate performance differences in submaximal force control and tactile pattern recognition in healthy older adults using two custom-designed sensorimotor assessment tools. METHODS Sensorimotor function was assessed in 13 healthy older adults (mean age 72.2 ±5.5y, range: 65-84y) and 13 young adults (mean age 20 ±1.4y, range: 19-23y). Clinical assessments included the Montreal Cognitive Assessment (MoCA), monofilament testing, maximum voluntary contraction (MVC), and Grooved Pegboard Test. Sensorimotor assessments included submaximal (5, 20% MVC) grip force step-tracking and tactile pattern recognition tasks. RESULTS Clinical assessments revealed no or minimal group differences in MVC, monofilament thresholds, and MoCA. However, sensorimotor assessments showed that older adults took longer to discriminate tactile patterns and had poorer accuracy than young adults. Older adults also produced submaximal forces less smoothly than young adults at the 20% force level while greater variability in force maintenance was seen at 5% but not 20% MVC. CONCLUSIONS These results demonstrate the ability to integrate higher-order tactile information and control low grip forces is impaired in older adults despite no differences in grip strength or cognition. These findings underscore the need for more sensitive evaluation methods that focus on sensorimotor ability reflective of daily activities.
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Affiliation(s)
- Rachel N Logue
- Motor Control Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Elana R Goldenkoff
- Brain Behavior Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael Vesia
- Brain Behavior Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Susan H Brown
- Motor Control Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA
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7
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Wang D, Liang S. Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng 2021; 29:2299-2311. [PMID: 34714747 DOI: 10.1109/tnsre.2021.3123964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different aspects. However, no detailed summary or classification research on the task-related effective connectivity of various brain regions has been made formally available so far, and there is also a lack of application analysis of DCM for hemodynamic and electrophysiological measurements. This review aims to analyze the effective connectivity of different brain regions using DCM for different measurement data. We found that, in general, most studies focused on the networks between different cortical regions, and the research on the networks between other deep subcortical nuclei or between them and the cerebral cortex are receiving increasing attention, but far from the same scale. Our analysis also reveals a clear bias towards some task types. Based on these results, we identify and discuss several promising research directions that may help the community to attain a clear understanding of the brain network interactions under different tasks.
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8
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Kyeong Kim R, Park C, Jeon K, Park K, Kang N. Different unilateral force control strategies between athletes and non-athletes. J Biomech 2021; 129:110830. [PMID: 34736089 DOI: 10.1016/j.jbiomech.2021.110830] [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: 03/26/2021] [Revised: 07/28/2021] [Accepted: 10/19/2021] [Indexed: 11/19/2022]
Abstract
This study investigated continuous visuomotor tracking capabilities between athletes and non-athlete controls using isometric force control paradigm. Nine female athletes and nine female age-matched controls performed unilateral hand-grip force control tasks with their dominant and non-dominant hands at 10% and 40% of maximal voluntary contraction (MVC), respectively. Three conventional outcome measures on force control capabilities included mean force, force accuracy, and force variability, and we additionally calculated two nonlinear dynamics variables including force regularity using sample entropy and force stability using maximal Lyapunov exponent. Finally, we performed correlation analyses to determine the relationship between nonlinear dynamics variables and conventional measures for each group. The findings indicated that force control capabilities as indicated by three conventional measures were not significantly different between athlete and non-athlete control groups. However, the athletes revealed less force regularity and greater force stability across hand conditions and targeted force levels than those in non-athlete controls. The correlation analyses found that increased force regularity (i.e., less sample entropy values) at 10% of MVC and decreased force regularity (i.e., greater sample entropy values) at 40% of MVC were significantly related to improved force accuracy and variability for the athlete group, and these patterns were not observed in the non-athlete control group. These findings suggested that the athletes may use different adaptive force control strategies as indicated by nonlinear dynamics tools.
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Affiliation(s)
- Rye Kyeong Kim
- Division of Sport Science, Incheon National University, Incheon, South Korea; Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea
| | - Chaneun Park
- Department of Mechatronics Engineering, Incheon National University, Incheon, South Korea; Human Dynamics Laboratory, Incheon National University, Incheon, South Korea
| | - Kyoungkyu Jeon
- Division of Sport Science, Incheon National University, Incheon, South Korea; Health Promotion Center & Sport Science Institute, Incheon National University, Incheon, South Korea
| | - Kiwon Park
- Department of Mechatronics Engineering, Incheon National University, Incheon, South Korea; Human Dynamics Laboratory, Incheon National University, Incheon, South Korea.
| | - Nyeonju Kang
- Division of Sport Science, Incheon National University, Incheon, South Korea; Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea; Health Promotion Center & Sport Science Institute, Incheon National University, Incheon, South Korea.
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9
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Lidstone DE, Mostofsky SH. Moving Toward Understanding Autism: Visual-Motor Integration, Imitation, and Social Skill Development. Pediatr Neurol 2021; 122:98-105. [PMID: 34330613 PMCID: PMC8372541 DOI: 10.1016/j.pediatrneurol.2021.06.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/19/2021] [Accepted: 06/22/2021] [Indexed: 11/25/2022]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a behavioral phenotype characterized by impaired development of social-communicative skills and excessive repetitive and stereotyped behaviors. Despite high phenotypic heterogeneity in ASD, a meaningful subpopulation of children with ASD (∼90%) show significant general motor impairment. More focused studies on the nature of motor impairment in ASD reveal that children with ASD are particularly impaired on tasks such as ball catching and motor imitation that require efficient visual-motor integration (VMI). Motor computational approaches also provide evidence for VMI impairment showing that children with ASD form internal sensorimotor representations that bias proprioceptive over visual feedback. Impaired integration of visual information to form internal representations of others' and the external world may explain observed impairments on VMI tasks and motor imitation of others. Motor imitation is crucial for acquiring both social and motor skills, and impaired imitation skill may contribute to the observed core behavioral phenotype of ASD. The current review examines evidence supporting VMI impairment as a core feature of ASD that may contribute to both impaired motor imitation and social-communicative skill development. We propose that understanding the neurobiological mechanisms underlying VMI impairment in ASD may be key to discovery of therapeutics to address disability in children and adults with ASD.
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Affiliation(s)
- Daniel E Lidstone
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, Maryland; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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10
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Tian D, Izumi SI, Suzuki E. Modulation of Interhemispheric Inhibition between Primary Motor Cortices Induced by Manual Motor Imitation: A Transcranial Magnetic Stimulation Study. Brain Sci 2021; 11:brainsci11020266. [PMID: 33669827 PMCID: PMC7923080 DOI: 10.3390/brainsci11020266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 11/18/2022] Open
Abstract
Imitation has been proven effective in motor development and neurorehabilitation. However, the relationship between imitation and interhemispheric inhibition (IHI) remains unclear. Transcranial magnetic stimulation (TMS) can be used to investigate IHI. In this study, the modification effects of IHI resulting from mirror neuron system (MNS) activation during different imitations are addressed. We measured IHI between homologous primary motor cortex (M1) by analyzing the ipsilateral silent period (iSP) evoked by single-pulse focal TMS during imitation and analyzed the respective IHI modulation during and after different patterns of imitation. Our main results showed that throughout anatomical imitation, significant time-course changes of iSP duration through the experiment were observed in both directions. iSP duration declined from the pre-imitation time point to the post-imitation time point and did not return to baseline after 30 min rest. We also observed significant iSP reduction from the right hemisphere to the left hemisphere during anatomical and specular imitation, compared with non-imitative movement. Our findings indicate that using anatomical imitation in action observation and execution therapy promotes functional recovery in neurorehabilitation by regulating IHI.
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Affiliation(s)
- Dongting Tian
- Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan; (S.-i.I.); (E.S.)
- Correspondence:
| | - Shin-ichi Izumi
- Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan; (S.-i.I.); (E.S.)
- Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Biomedical Engineering, Sendai 980-8575, Japan
| | - Eizaburo Suzuki
- Department of Physical Medicine and Rehabilitation, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan; (S.-i.I.); (E.S.)
- Department of Physical Therapy, Yamagata Prefectural University of Health Sciences, 260 Kamiyanagi, Yamagata 990-2212, Japan
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11
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Lidstone DE, Rochowiak R, Mostofsky SH, Nebel MB. A Data Driven Approach Reveals That Anomalous Motor System Connectivity is Associated With the Severity of Core Autism Symptoms. Autism Res 2021:10.1002/aur.2476. [PMID: 33484109 PMCID: PMC8931705 DOI: 10.1002/aur.2476] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/27/2020] [Accepted: 01/07/2021] [Indexed: 11/11/2022]
Abstract
This study examined whether disruptions in connectivity involving regions critical for learning, planning, and executing movements are relevant to core autism symptoms. Spatially constrained ICA was performed using resting-state fMRI from 419 children (autism spectrum disorder (ASD) = 105; typically developing (TD) = 314) to identify functional motor subdivisions. Comparing the spatial organization of each subdivision between groups, we found voxels that contributed significantly less to the right posterior cerebellar component in children with ASD versus TD (P <0.001). Next, we examined the effect of diagnosis on right posterior cerebellar connectivity with all other motor subdivisions. The model was significant (P = 0.014) revealing that right posterior cerebellar connectivity with bilateral dorsomedial primary motor cortex was, on average, stronger in children with ASD, while right posterior cerebellar connectivity with left-inferior parietal lobule (IPL), bilateral dorsolateral premotor cortex, and supplementary motor area was stronger in TD children (all P ≤0.02). We observed a diagnosis-by-connectivity interaction such that for children with ASD, elevated social-communicative and excessive repetitive-behavior symptom severity were both associated with right posterior cerebellar-left-IPL hypoconnectivity (P ≤0.001). Right posterior cerebellar and left-IPL are strongly implicated in visuomotor processing with dysfunction in this circuit possibly leading to anomalous development of skills, such as motor imitation, that are crucial for effective social-communication. LAY SUMMARY: This study examines whether communication between various brain regions involved in the control of movement are disrupted in children with autism spectrum disorder (ASD). We show communication between the right posterior cerebellum and left IPL, a circuit important for efficient visual-motor integration, is disrupted in children with ASD and associated with the severity of ASD symptoms. These results may explain observations of visual-motor integration impairments in children with ASD that are associated with ASD symptom severity.
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Affiliation(s)
- Daniel E. Lidstone
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rebecca Rochowiak
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Stewart H. Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary Beth Nebel
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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12
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Lee JH, Kang N. Effects of online-bandwidth visual feedback on unilateral force control capabilities. PLoS One 2020; 15:e0238367. [PMID: 32941453 PMCID: PMC7498075 DOI: 10.1371/journal.pone.0238367] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 08/15/2020] [Indexed: 11/19/2022] Open
Abstract
Purpose The purpose of this study was to examine how different threshold ranges of online-bandwidth visual feedback influence unilateral force control capabilities in healthy young women. Methods Twenty-five right-handed young women (mean±standard deviation age = 23.6±1.5 years) participated in this study. Participants unilaterally executed hand-grip force control tasks with their dominant and non-dominant hands, respectively. Each participant completed four experimental blocks in a different order of block presentation for each hand condition: (a) 10% of maximum voluntary contraction (MVC) with ±5% bandwidth threshold range (BTR), (b) 10% of MVC with ±10% BTR, (c) 40% of MVC with ±5% BTR, and (d) 40% of MVC with ±10% BTR. Outcome measures on force control capabilities included: (a) force accuracy, (b) force variability, (c) force regularity, and (d) the number of times and duration out of BTR. Results The non-dominant hand showed significant improvements in force control capabilities, as indicated by higher force accuracy, less force variability, and decreased force regularity from ±10% BTR to ±5% BTR during higher targeted force level task. For both hands, the number of times and duration out of BTR increased from ±10% BTR to ±5% BTR. Conclusions The current findings suggested that the narrow threshold range of online-bandwidth visual feedback effectively revealed transient improvements in unilateral isometric force control capabilities during higher targeted force level tasks.
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Affiliation(s)
- Joon Ho Lee
- Department of Human Movement Science, Incheon National University, Incheon, South Korea
- Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea
| | - Nyeonju Kang
- Department of Human Movement Science, Incheon National University, Incheon, South Korea
- Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea
- Division of Sport Science & Sport Science Institute, Incheon National University, Incheon, South Korea
- * E-mail:
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13
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Bondi D, Prete G, Malatesta G, Robazza C. Laterality in Children: Evidence for Task-Dependent Lateralization of Motor Functions. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17186705. [PMID: 32942557 PMCID: PMC7558377 DOI: 10.3390/ijerph17186705] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/12/2020] [Accepted: 09/14/2020] [Indexed: 12/18/2022]
Abstract
The behavioral preference for the use of one side of the body starts from pre-natal life and prompt humans to develop motor asymmetries. The type of motor task completed influences those functional asymmetries. However, there is no real consensus on the occurrence of handedness during developmental ages. Therefore, we aimed to determine which motor asymmetries emerged differently during childhood. A total sample of 381 children in grades 1 to 5 (6-11 years old) of primary school were recruited and tested for two fine coordination tasks (Floppy, led by dexterity, and Thumb, led by speed-dominated skills) and handgrip strength (HS). Data about their handedness, footedness and sports participation were also collected. Children performed better with their dominant side, especially for the Floppy and HS tests. The asymmetries were more marked in right-handed children and did not differ by age, gender or type of sport. Our findings support the thesis of a functional lateralization in complex coordinative tasks and in maximal strength during developmental ages. Furthermore, our findings extend the evidence of a stronger lateralization in right-handed individuals, demonstrating it at a functional level in primary school children performing motor tasks. Fine motor skills allow a "fine" understanding of developmental trajectories of lateralized behavior.
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Affiliation(s)
- Danilo Bondi
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
- Correspondence:
| | - Giulia Prete
- Department of Psychological, Health and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (G.P.); (G.M.)
| | - Gianluca Malatesta
- Department of Psychological, Health and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (G.P.); (G.M.)
| | - Claudio Robazza
- Department of Medicine and Aging Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy;
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14
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Wang X, Li L, Wei W, Zhu T, Huang GF, Li X, Ma HB, Lv Y. Altered activation in sensorimotor network after applying rTMS over the primary motor cortex at different frequencies. Brain Behav 2020; 10:e01670. [PMID: 32506744 PMCID: PMC7375128 DOI: 10.1002/brb3.1670] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/20/2020] [Accepted: 05/07/2020] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION Repetitive transcranial magnetic stimulation (rTMS) over the primary motor cortex (M1) can modulate brain activity both in the stimulated site and remote brain areas of the sensorimotor network. However, the modulatory effects of rTMS at different frequencies remain unclear. Here, we employed finger-tapping task-based fMRI to investigate alterations in activation of the sensorimotor network after the application of rTMS over the left M1 at different frequencies. MATERIALS AND METHODS Forty-five right-handed healthy participants were randomly divided into three groups by rTMS frequency (HF, high-frequency, 3 Hz; LF, low-frequency, 1 Hz; and SHAM) and underwent two task-fMRI sessions (RH, finger-tapping with right index finger; LH, finger-tapping with left index finger) before and after applying rTMS over the left M1. We defined regions of interest (ROIs) in the sensorimotor network based on group-level activation maps (pre-rTMS) from RH and LH tasks and calculated the percentage signal change (PSC) for each ROI. We then assessed the differences of PSC within HF or LF groups and between groups. RESULTS Application of rTMS at different frequencies resulted in a change in activation of several areas of the sensorimotor network. We observed the increased PSC in M1 after high-frequency stimulation, while we detected the reduced PSC in the primary sensory cortex (S1), ventral premotor cortex (PMv), supplementary motor cortex (SMA), and putamen after low-frequency stimulation. Moreover, the PSC in the SMA, dorsal premotor cortex (PMd), and putamen in the HF group was higher than in the LF group after stimulation. CONCLUSION Our findings suggested that activation alterations within sensorimotor network are dependent on the frequency of rTMS. Therefore, our findings contribute to understanding the effects of rTMS on brain activation in healthy individuals and ultimately may further help to suggest mechanisms of how rTMS could be employed as a therapeutic tool.
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Affiliation(s)
- Xiaoyu Wang
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Lingyu Li
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.,Shandong Huayu University of Technology, Dezhou, China
| | - Wei Wei
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Tingting Zhu
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Guo-Feng Huang
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Xue Li
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Hui-Bin Ma
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China.,Integrated Medical Research School, Jiamusi University, Jiamusi, China
| | - Yating Lv
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
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15
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Nagy M, Aranyi C, Opposits G, Papp T, Lánczi L, Berényi E, Vér C, Csiba L, Katona P, Spisák T, Emri M. Effective connectivity differences in motor network during passive movement of paretic and non-paretic ankles in subacute stroke patients. PeerJ 2020; 8:e8942. [PMID: 32518713 PMCID: PMC7258895 DOI: 10.7717/peerj.8942] [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: 12/03/2019] [Accepted: 03/18/2020] [Indexed: 11/20/2022] Open
Abstract
Background A better understanding of the neural changes associated with paresis in stroke patients could have important implications for therapeutic approaches. Dynamic Causal Modeling (DCM) for functional magnetic resonance imaging (fMRI) is commonly used for analyzing effective connectivity patterns of brain networks due to its significant property of modeling neural states behind fMRI signals. We applied this technique to analyze the differences between motor networks (MNW) activated by continuous passive movement (CPM) of paretic and non-paretic ankles in subacute stroke patients. This study aimed to identify CPM induced connectivity characteristics of the primary sensory area (S1) and the differences in extrinsic directed connections of the MNW and to explain the hemodynamic differences of brain regions of MNW. Methods For the network analysis, we used ten stroke patients’ task fMRI data collected under CPMs of both ankles. Regions for the MNW, the primary motor cortex (M1), the premotor cortex (PM), the supplementary motor area (SMA) and the S1 were defined in a data-driven way, by independent component analysis. For the network analysis of both CPMs, we compared twelve models organized into two model-families, depending on the S1 connections and input stimulus modeling. Using DCM, we evaluated the extrinsic connectivity strengths and hemodynamic parameters of both stimulations of all patients. Results After a statistical comparison of the extrinsic connections and their modulations of the “best model”, we concluded that three contralateral self-inhibitions (cM1, cS1 and cSMA), one contralateral inter-regional connection (cSMA→cM1), and one interhemispheric connection (cM1→iM1) were significantly different. Our research shows that hemodynamic parameters can be estimated with the Balloon model using DCM but the parameters do not change with stroke. Conclusions Our results confirm that the DCM-based connectivity analyses combined with Bayesian model selection may be a useful technique for quantifying the alteration or differences in the characteristics of the motor network in subacute stage stroke patients and in determining the degree of MNW changes.
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Affiliation(s)
- Marianna Nagy
- Faculty of Medicine, Department of Medical Imaging, Division of Radiology and Imaging Science, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Csaba Aranyi
- Faculty of Medicine, Department of Medical Imaging, Division of Nuclear Medicine and Translational Imaging, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Gábor Opposits
- Faculty of Medicine, Department of Medical Imaging, Division of Nuclear Medicine and Translational Imaging, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Tamás Papp
- Faculty of Medicine, Department of Medical Imaging, Division of Radiology and Imaging Science, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Levente Lánczi
- Faculty of Medicine, Department of Medical Imaging, Division of Radiology and Imaging Science, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary.,Department of Diagnostic Radiology, Kenézy University Hospital, Debrecen, Hajdú-Bihar, Hungary
| | - Ervin Berényi
- Faculty of Medicine, Department of Medical Imaging, Division of Radiology and Imaging Science, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Csilla Vér
- Clinical Center, Department of Neurology, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - László Csiba
- Clinical Center, Department of Neurology, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
| | - Péter Katona
- Department of Diagnostic Radiology, Kenézy University Hospital, Debrecen, Hajdú-Bihar, Hungary
| | - Tamás Spisák
- Department of Neurology, University Hospital Essen, Essen, Germany
| | - Miklós Emri
- Faculty of Medicine, Department of Medical Imaging, Division of Nuclear Medicine and Translational Imaging, University of Debrecen, Debrecen, Hajdú-Bihar, Hungary
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16
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Advanced TMS approaches to probe corticospinal excitability during action preparation. Neuroimage 2020; 213:116746. [DOI: 10.1016/j.neuroimage.2020.116746] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/02/2020] [Accepted: 03/13/2020] [Indexed: 12/13/2022] Open
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17
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Mathew J, de Rugy A, Danion FR. How optimal is bimanual tracking? The key role of hand coordination in space. J Neurophysiol 2020; 123:511-521. [PMID: 31693447 DOI: 10.1152/jn.00119.2019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
When coordinating two hands to achieve a common goal, the nervous system has to assign responsibility to each hand. Optimal control theory suggests that this problem is solved by minimizing costs such as the variability of movement and effort. However, the natural tendency to produce similar movements during bimanual tasks has been somewhat ignored by this approach. We consider a task in which participants were asked to track a moving target by means of a single cursor controlled simultaneously by the two hands. Two types of hand-cursor mappings were tested: one in which the cursor position resulted from the average location of two hands (Mean) and one in which horizontal and vertical positions of the cursor were driven separately by each hand (Split). As expected, unimanual tracking performance was better with the dominant hand than with the more variable nondominant hand. More interestingly, instead of exploiting this effect by increasing the use of the dominant hand, the contributions from both hands remained symmetrical during bimanual cooperative tasks. Indeed, for both mappings, and even after 6min of practice, the right and left hands remained strongly correlated, performing similar movements in extrinsic space. Persistence of this bimanual coupling demonstrates that participants prefer to maintain similar movements at the expense of unnecessary movements (in the Split task) and of increased noise from the nondominant hand (in the Mean task). Altogether, the findings suggest that bimanual tracking exploits hand coordination in space rather than minimizing motor costs associated with variability and effort.NEW & NOTEWORTHY When two hands are coordinated to achieve a common goal, optimal control theory proposes that the brain assigns responsibility to each hand by minimizing movement variability and effort. Nevertheless, we show that participants perform bimanual tracking using similar contributions from the dominant and nondominant hands, despite unnecessary movements and a less accurate nondominant hand. Our findings suggest that bimanual tracking exploits hand coordination in space rather than minimizing motor costs associated with variability and effort.
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Affiliation(s)
- James Mathew
- Aix Marseille Université, Centre National de la Recherche Scientifique, Institut de Neurosciences de la Timone, UMR 7289, Marseille, France
| | - Aymar de Rugy
- Université de Bordeaux, Centre National de la Recherche Scientifique, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, Bordeaux, France.,Centre for Sensorimotor Performance, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Frederic R Danion
- Aix Marseille Université, Centre National de la Recherche Scientifique, Institut de Neurosciences de la Timone, UMR 7289, Marseille, France
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18
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Garcia O, Faghihi N, Vaid J. Sources of Directional Spatial Biases in Hemi-Image Drawing. Perception 2019; 49:169-185. [PMID: 31830429 DOI: 10.1177/0301006619891697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We examined the performance of right- and left-handed brain-intact adult readers of English or Farsi on a hemi-image generation task in which participants were to imagine and then draw halves of objects using either their dominant or nondominant hand. Which half of the object was drawn was examined in relation to biomechanical, cerebral laterality, and cultural predictors. Findings showed a differential side bias as a function of reading/writing direction and hand used to draw. Specifically, when the dominant hand was used to draw (Experiment 1), English left-handers produced more left hemi-images while Farsi right-handers produced more right hemi-images. Body specificity associated with hand used, however, drove spatial preference when enlisting the nondominant hand (Experiment 2) with English right-handers now showing a significant left hemi-image bias and English left-handers showing a right hemi-image bias. Farsi right-handers using their nondominant hand did not show a significant bias in either direction. Taken together, the findings suggest a joint influence of handedness and reading/writing direction, aligned with an embodiment account of directional spatial biases.
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Affiliation(s)
- Omar Garcia
- Texas A&M University, College Station, TX, USA
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19
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Handedness Matters for Motor Control But Not for Prediction. eNeuro 2019; 6:ENEURO.0136-19.2019. [PMID: 31138661 PMCID: PMC6557034 DOI: 10.1523/eneuro.0136-19.2019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 05/11/2019] [Accepted: 05/15/2019] [Indexed: 12/15/2022] Open
Abstract
Skilled motor behavior relies on the ability to control the body and to predict the sensory consequences of this control. Although there is ample evidence that manual dexterity depends on handedness, it remains unclear whether control and prediction are similarly impacted. To address this issue, right-handed human participants performed two tasks with either the right or the left hand. In the first task, participants had to move a cursor with their hand so as to track a target that followed a quasi-random trajectory. This hand-tracking task allowed testing the ability to control the hand along an imposed trajectory. In the second task, participants had to track with their eyes a target that was self-moved through voluntary hand motion. This eye-tracking task allowed testing the ability to predict the visual consequences of hand movements. As expected, results showed that hand tracking was more accurate with the right hand than with the left hand. In contrast, eye tracking was similar in terms of spatial and temporal gaze attributes whether the target was moved by the right or the left hand. Although these results extend previous evidence for different levels of control by the two hands, they show that the ability to predict the visual consequences of self-generated actions does not depend on handedness. We propose that the greater dexterity exhibited by the dominant hand in many motor tasks stems from advantages in control, not in prediction. Finally, these findings support the notion that prediction and control are distinct processes.
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