Article
Education & Educational Research
Christian Collet, Mahmoud El Hajj, Rawad Chaker, Bernard Bui-Xuan, Jean-Jacques Lehot, Nady Hoyek
Summary: The study found that combining motor imagery with actual training can accelerate the learning of peripheral venous catheter insertion and improve the learning effectiveness of professional skills.
BMC MEDICAL EDUCATION
(2021)
Review
Neurosciences
Goldy Yadav, Julie Duque
Summary: Humans have exceptional abilities for skilled movements and understanding of motor skill learning is important for scientific knowledge and clinical outcomes. The lack of consensus in defining skill and the increasing heterogeneity in motor learning assessments call for the identification of key features of skill to avoid misinterpretation of findings. This review highlights the historical and contemporary perspectives on skill, emphasizing characteristics such as optimal movement, speed and accuracy improvement, and reduced variability and error.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Review
Behavioral Sciences
Machiko Ohbayashi
Summary: Learning and executing sequential movements is essential in voluntary motor behavior, with performance improving over time through repetitive practice. The process of how the brain binds elementary movements into meaningful actions is of much interest and involves a distributed network throughout the brain. Understanding the unique contributions of different cortical motor areas in this process is the current challenge.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Jessica Guilbert, Jonathan Fernandez
Summary: This article reviews the application of mental practice in typically developing children and adolescents, and provides recommendations and guidelines for practitioners and coaches. The article also discusses unresolved issues and future research perspectives in the field of motor imagery training.
INTERNATIONAL REVIEW OF SPORT AND EXERCISE PSYCHOLOGY
(2023)
Review
Psychology, Multidisciplinary
Ghazala T. Saleem
Summary: Motor imagery (MI) is the ability to mentally engage in a task without voluntary movement. MI is important for motor development and skill acquisition in children. However, there is a lack of measures to assess MI responsiveness in children, creating a research gap.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Neurosciences
Franck Di Rienzo, Ursula Debarnot, Sebastien Daligault, Claude Delpuech, Julien Doyon, Aymeric Guillot
Summary: Motor imagery and physical practice can both improve motor performance through experience-based plasticity. This study used magnetoencephalography to investigate the changes in brain activity associated with offline consolidation of motor sequence learning through motor imagery or physical practice. The results showed that overnight consolidation of motor learning through motor imagery was better than wake-related consolidation. The alpha network exhibited increased neural desynchronization after overnight consolidation, while the beta network exhibited an increase in neural synchronization after wake-related consolidation. This study provides evidence of parallel brain plasticity underlying behavioral changes associated with sleep-dependent consolidation of motor skill learning through motor imagery and physical practice.
Article
Hospitality, Leisure, Sport & Tourism
S. Romano-Smith, J. W. Roberts, G. Wood, G. Coyles, C. J. Wakefield
Summary: Combining the motor simulation techniques of action observation and motor imagery (AOMI) has been shown to enhance motor performance. This study examined the involvement of lower-level sensorimotor processes in the improvement of a dart-throwing task using AOMI. Results showed that simultaneous and alternate congruent groups had significantly improved dart-throwing performance compared to control groups. This improvement was accompanied by lower EMG activity, suggesting greater movement efficiency. AOMI involves a common lower-level sensorimotor process that can lead to motor facilitation or interference, depending on the congruency of the simulation techniques, regardless of the delivery structure.
PSYCHOLOGY OF SPORT AND EXERCISE
(2022)
Article
Multidisciplinary Sciences
Celia Ruffino, Charlene Truong, William Dupont, Fatma Bouguila, Carine Michel, Florent Lebon, Charalambos Papaxanthis
Summary: The study found that physical and motor imagery practice drive skill learning through different acquisition and consolidation processes.
SCIENTIFIC REPORTS
(2021)
Article
Health Care Sciences & Services
Muhammad Kashif, Ashfaq Ahmad, Muhammad Ali Mohseni Bandpei, Hafiza Aroosa Syed, Ali Raza, Vishal Sana
Summary: This study demonstrates that the combination of virtual reality and motor imagery techniques with routine physical therapy can significantly improve motor function in individuals with Parkinson's disease.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Psychology, Multidisciplinary
Kuo-Pin Wang, Cornelia Frank, Tsung-Min Hung, Thomas Schack
Summary: The physiological function of Mu rhythm in visuomotor performance is still unclear. This study aimed to explore the association between Mu rhythm and visuomotor skill performance in golf putting. The results showed that decreasing Mu rhythm improved motor control and performance, suggesting that the complexity of motor skills may be a key moderator of Mu rhythm in visuomotor performance.
CURRENT PSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Sara Wawrzyniak, Ireneusz Cichy, Ana Rita Matias, Damian Pawlik, Agnieszka Kruszwicka, Michal Klichowski, Andrzej Rokita
Summary: Eduball is a method using educational balls to improve students' physical fitness and academic performance, but its impact on children's graphomotor skills is not well understood. The study found that primary school students participating in Eduball PE classes showed better writing skills, supporting the interdisciplinary model of education for holistic student development.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Neurosciences
Mousa Javidialsaadi, Jinsung Wang
Summary: The study found that even when informed of the perturbation, an individual with mirror movements like DB still could not achieve interlimb transfer in visuomotor adaptation. Interlimb transfer does not depend on one's awareness, but its extent may increase when individuals rely on cognitive strategies to deal with perturbations.
BRAIN AND COGNITION
(2021)
Article
Chemistry, Analytical
Vicente A. Lomelin-Ibarra, Andres E. Gutierrez-Rodriguez, Jose A. Cantoral-Ceballos
Summary: This study investigates different data representation methods for motor imagery EEG signals and achieves strong classification accuracy through transfer learning. Additionally, alternative representations based on spectrograms and multidimensional raw data are explored, leading to promising results.
Article
Multidisciplinary Sciences
Silvio Gravano, Francesco Lacquaniti, Myrka Zago
Summary: Mental imagery can be used as a potential tool to help astronauts deal with sensorimotor and cognitive dysfunctions caused by spaceflight. The study showed that astronauts were able to simulate interactions with weightless objects on Earth and adjust their behavior during spaceflight, indicating the effectiveness of mental imagery training in space adaptation. Additionally, differential processing of imagined gravity levels in arm kinematics was observed, suggesting a potential role of mental imagery in tuning vestibular plasticity during spaceflight.
Article
Chemistry, Analytical
Diego Fabian Collazos-Huertas, Andres Marino Alvarez-Meza, David Augusto Cardenas-Pena, German Albeiro Castano-Duque, Cesar German Castellanos-Dominguez
Summary: Motor Imagery (MI) involves imagining motor movements without physical action and has potential applications in rehabilitation and education. The most promising approach for implementing MI is the Brain-Computer Interface (BCI). However, decoding brain responses recorded by scalp electrodes is challenging due to limitations in spatial resolution and non-stationarity. This study proposes a Convolutional Neural Network-based framework to distinguish between MI tasks and identify subjects with poor motor performance at the early stages of BCI training. The proposed method achieves an average accuracy enhancement of 10% compared to the baseline approach, reducing the number of subjects with poor skill from 40% to 20%.
Review
Neurosciences
Jason P. Gallivan, Craig S. Chapman, Daniel M. Wolpert, J. Randall Flanagan
NATURE REVIEWS NEUROSCIENCE
(2018)
Article
Multidisciplinary Sciences
Noham Wolpe, Jiaxiang Zhang, Cristina Nombela, James N. Ingram, Daniel M. Wolpert, James B. Rowe
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
James B. Heald, David W. Franklin, Daniel M. Wolpert
SCIENTIFIC REPORTS
(2018)
Correction
Multidisciplinary Sciences
Noham Wolpe, Jiaxiang Zhang, Cristina Nombela, James N. Ingram, Daniel M. Wolpert, James B. Rowe
SCIENTIFIC REPORTS
(2018)
Article
Neurosciences
Timothy J. Carroll, Daniel McNamee, James N. Ingram, Daniel M. Wolpert
JOURNAL OF NEUROSCIENCE
(2019)
Article
Multidisciplinary Sciences
Mohsen Sadeghi, Hannah R. Sheahan, James N. Ingram, Daniel M. Wolpert
SCIENTIFIC REPORTS
(2019)
Article
Biology
Gabor Lengyel, Goda Zalalyte, Alexandros Pantelides, James N. Ingram, Jozsef Fiser, Mate Lengyel, Daniel M. Wolpert
Article
Biochemical Research Methods
Joshua B. Moskowitz, Daniel J. Gale, Jason P. Gallivan, Daniel M. Wolpert, J. Randall Flanagan
PLOS COMPUTATIONAL BIOLOGY
(2020)
Article
Biology
Yul Hr Kang, Anne Loffler, Danique Jeurissen, Ariel Zylberberg, Daniel M. Wolpert, Michael N. Shadlen
Summary: The brain can process multiple streams of information simultaneously when making decisions. When making two decisions about one object, the accuracy of one decision is not affected by the difficulty of the other decision, but the decisions are not made simultaneously. Initially, the brain can acquire information from multiple stimulus dimensions simultaneously, but later integrates them serially in time-multiplexed bouts.
Article
Multidisciplinary Sciences
Tsuyoshi Ikegami, J. Randall Flanagan, Daniel M. Wolpert
Summary: Motor adaptation can be achieved through error-based learning or reinforcement learning, with terminal error feedback combining sensory and reward prediction errors. Terminal error feedback leads to a more robust form of learning.
Article
Neurosciences
Zhaoran Zhang, Evan Cesanek, James N. Ingram, J. Randall Flanagan, Daniel M. Wolpert
Summary: Previous research focused on predicting weight based on the visual appearance of isolated objects. This study tested the hypothesis that when interacting with multiple objects, people can directly predict their weights based on their locations, bypassing visual processing.
JOURNAL OF NEUROPHYSIOLOGY
(2023)
Review
Behavioral Sciences
James B. Heald, Mate Lengyel, Daniel M. Wolpert
Summary: Context is considered an important factor in learning and memory across different domains. However, the lack of a unified framework has led to disjointed studies. In this study, we present a unified vernacular that allows direct comparisons between different domains of contextual learning. A Bayesian model is proposed, suggesting that context is unobserved and needs to be inferred. This theoretical approach uncovers two components of adaptation, proper and apparent learning, which involve memory creation and updating, as well as time-varying adjustments in their expression. Various extensions of the basic Bayesian model are reviewed to accommodate complex forms of contextual learning.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Psychology, Biological
James B. Heald, James N. Ingram, J. Randall Flanagan, Daniel M. Wolpert
NATURE HUMAN BEHAVIOUR
(2018)
Article
Neurosciences
Amanda S. Therrien, Daniel M. Wolpert, Amy J. Bastian