Article
Psychology, Multidisciplinary
Adam J. Toth, Fazilat Hojaji, Mark J. Campbell
Summary: This study aims to use existing kinematic data to investigate whether there are differences in specific phases of target acquisition movements between gamers of different expertise levels. The results show that gamers with higher expertise demonstrate superior motor planning and sensory-motor integration, which can be further improved through training.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Article
Multidisciplinary Sciences
Anil Kamat, Condell Eastmond, Yuanyuan Gao, Arun Nemani, Erim Yanik, Lora Cavuoto, Matthew Hackett, Jack Norfleet, Steven Schwaitzberg, Suvranu De, Xavier Intes
Summary: This study presents a fNIRS dataset acquired on mobile subjects performing FLS tasks in a laboratory environment. Relevant information and FLS scores are provided to facilitate the use of this open-access dataset.
Article
Neurosciences
Katrina P. Nguyen, Abhinav Sharma, Mauricio Gil-Silva, Aryn H. Gittis, Steven M. Chase
Summary: This study revealed that mouse locomotor learning is accompanied by specific paw kinematic progressions that change with different stages of performance. Mice refine interlimb coordination and stride length during learning, ultimately adopting a more variable locomotor strategy.
Article
Neurosciences
Katja I. Paul, Karsten Mueller, Paul-Noel Rousseau, Annegret Glathe, Niels A. Taatgen, Fokie Cnossen, Peter Lanzer, Arno Villringer, Christopher J. Steele
Summary: Performing endovascular medical interventions requires diverse skills that need to be practised. This study used multimodal MR imaging to determine the structural and functional plasticity of the brain during skill acquisition. The results showed that the intraparietal sulcus (IPS) plays a significant role in endovascular skill acquisition, consistent with previous research on visuospatial transformations. The findings provide insights into the plasticity of the human brain during complex clinical skill learning and have implications for medical education and resident training.
Article
Sport Sciences
Nicola J. Hodges, Keith R. Lohse
Summary: The challenge-point framework is a model for thinking about motor learning. It is connected to predictive coding theories and can guide coaches in designing practice settings to achieve different learning goals.
JOURNAL OF SPORTS SCIENCES
(2022)
Article
Neurosciences
Celia Ruffino, Dylan Rannaud Monany, Charalambos Papaxanthis, Pauline M. Hilt, Jeremie Gaveau, Florent Lebon
Summary: Practice and motor imagery practice have positive effects on the execution of arm movements, but they differ in their impact on movement smoothness. Practice involves online corrections through sensory feedback integration, while motor imagery practice does not possess this ability.
Article
Neurosciences
Dorsa Beroukhim-Kay, Bokkyu Kim, John Monterosso, Rebecca Lewthwaite, Carolee Winstein
Summary: During skill acquisition, improved practice performance and recall of a sensorimotor skill are correlated with distinct neural activity patterns, drawing on different motor learning mechanisms. Practice performance improvement is associated with activations in the frontal orbital cortex, putamen, amygdala, and insula, while recall performance is associated with activations in the primary motor cortex, superior frontal gyrus, somatosensory cortex, angular gyrus, and parietal gyrus.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Review
Sport Sciences
Luca Oppici, Frederike Marie Stell, Till Utesch, Carl T. T. Woods, Lawrence Foweather, James R. R. Rudd
Summary: This study conducted a systematic review and meta-analysis and found that screen-based technology that requires active engagement from children can promote the development of foundational movement skills. This finding could reshape the perception of digital screen-based technology and its role in children's lives.
SPORTS MEDICINE-OPEN
(2022)
Article
Multidisciplinary Sciences
Jasmine Herszage, Haggai Sharon, Nitzan Censor
Summary: The study demonstrates that motor skill learning can be achieved through brief memory reactivations, with the efficacy depending on the number of consecutive correct sequences during reactivations. Higher continuity reactivations result in higher learning gains, similar to extensive practice, while lower continuity reactivations lead to minimal gains.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Multidisciplinary Sciences
Kojiro Hirokane, Toru Nakamura, Yasuo Kubota, Dan Hu, Takeshi Yagi, Ann M. Graybiel, Takashi Kitsukawa
Summary: Motor chunking is important for motor execution, allowing atomization and efficiency of movement sequences. However, the contribution of chunks to motor execution is still unknown. By analyzing the structure of naturally occurring chunks in mice, it was found that intervals and positional relationships were consistent within chunks but not outside of them. Additionally, licking behavior was periodic and linked to the phases of limb movements within the chunk. Based on these findings, the rhythm chunking hypothesis proposes that repetitive movements of body parts within chunks are linked through rhythm parameters: cycle and phase. This reduces the computational complexity of movement by adjusting movements based on rhythm combinations.
Article
Health Care Sciences & Services
Annette Brons, Antoine de Schipper, Svetlana Mironcika, Huub Toussaint, Ben Schouten, Sander Bakkes, Ben Krose
Summary: This study found that sensor-augmented toys can efficiently predict fine motor skills for elementary school children. The type of game and data used is more important for performance than the choice of machine learning classifier or level of difficulty.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Sport Sciences
Ana Carolina Maia, Luke Hogarth, Brendan Burkett, Carl Payton
Summary: The study evaluated a revised version of the Para swimming assessment for motor coordination by incorporating practical, objective measures of movement smoothness and rhythm error. The results showed that Para athletes exhibited significantly less smooth movement and higher rhythm error compared to non-disabled participants.
JOURNAL OF SPORTS SCIENCES
(2021)
Article
Biology
Tomas Mediavilla, Ozgun Ozalay, Hector M. Estevez-Silva, Barbara Frias, Greger Oradd, Fahad R. Sultan, Claudio Brozzoli, Benjamin Garzon, Martin Lovden, Daniel J. Marcellino
Summary: Observations in rodents suggest that learning-dependent changes may involve increased dendritic spine density, alterations in astrocyte volume, and adaptations within intracortical myelin. Using a motor skill learning paradigm, this study found nonlinear increases in intracortical myelin during learning, supporting the hypothesis that myelin is a component of structural changes observed by voxel-based morphometry.
Article
Education & Educational Research
Michal Kafri, Yasmin Levron, Osnat Atun-Einy
Summary: This study developed a knowledge translation intervention to enhance physical therapists' capacity for the systematic application of motor learning knowledge in clinical practice. The results showed that this intervention significantly improved physical therapists' self-efficacy and implementation of motor learning knowledge, further supporting the positive effect of this educational tool.
BMC MEDICAL EDUCATION
(2023)
Article
Neurosciences
Eun Jung Hwang, Jeffrey E. Dahlen, Madan Mukundan, Takaki Komiyama
Summary: It has been found that the dependence on the motor cortex during long-term learning is not fixed, but can dynamically change. Movements that achieve higher consistency are less dependent on the motor cortex, and superior motor performance can affect neural circuit reorganization.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Clinical Neurology
Jamille Evelyn R. S. Santana, Abrahao F. Baptista, Rita Lucena, Tiago da S. Lopes, Raphael S. do Rosario, Marjorie R. Xavier, Andre Fonseca, Jose Garcia Miranda
Summary: This study investigated the dynamic functional brain connectivity in individuals with sickle cell disease (SCD) and chronic pain secondary to hip osteonecrosis. The results showed that individuals with high-intensity pain had higher edge weight during hip motor imagery and the average weight of the edges correlated positively with pain intensity and depression symptoms. The study also found that individuals with SCD and chronic pain completed the cerebral network at rest more quickly and had more pronounced diffuse connectivity in high-intensity pain individuals.
CLINICAL EEG AND NEUROSCIENCE
(2023)
Article
Rehabilitation
Aristide S. Honado, Orthelo Leonel Gbetoho Atigossou, Jean-Francois Daneault, Jean-Sebastien Roy, Charles Sebiyo Batcho
Summary: The study found a strong correlation between step counts and overall physical activity levels in able-bodied adults and stroke survivors in Benin. Step counts appear to be an indicator of physical activity levels in developing countries, suggesting walking as a potential exercise to improve physical activity levels in stroke survivors.
DISABILITY AND REHABILITATION
(2023)
Article
Clinical Neurology
Thaise Graziele L. de O Toutain, Jose Garcia Vivas Miranda, Raphael Silva do Rosario, Eduardo Ponde de Sena
Summary: Schizophrenia is characterized by altered connectivity of brain functional networks, specifically disruptions in prefrontal-temporal interactions, damage to hub regions, and modified topological organization. The present study used a dynamic approach to assess brain connectivity in schizophrenia patients and found lower temporal connectivity, decreased hub probability, and fewer edges in the temporal lobes. Additionally, increased temporal connectivity was observed in the central-parietal region. These findings suggest that dynamic analyses are necessary to fully understand changes in brain connectivity in schizophrenia.
JOURNAL OF NEURAL TRANSMISSION
(2023)
Article
Mathematics, Interdisciplinary Applications
Eslaine S. Santos, Jose G. Miranda, Hugo Saba, Lacita M. Skalinski, Marcio L. V. Araujo, Rafael V. Veiga, Maria da Conceicao N. Costa, Luciana L. Cardim, Enny S. Paixao, Maria Gloria Teixeira, Roberto F. S. Andrade, Mauricio L. Barreto
Summary: Arboviruses can cause a wide range of diseases with varying severity and lasting symptoms, making it a global public health problem with diverse socio-economic impacts. Understanding their spread within and across regions is crucial for devising strategies to control and prevent new outbreaks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Ecology
Bruno Travassos-Britto, Camila Hohlenwerger, Jose Miranda, Pedro Luis Bernardo da Rocha
Summary: The negative effect of fragmentation is a major concern in the study of biodiversity loss in landscape ecology. The use of the matrix is considered an important factor in changing a population's relationship with landscape configuration. Assessing the effect of matrix quality in fragmented landscapes can increase understanding of how matrices can suppress fragmentation.
ECOLOGICAL COMPLEXITY
(2023)
Article
Astronomy & Astrophysics
Alberto S. Betzler, Jose G. V. Miranda
Summary: The formation of the solar system has been researched since the 18th century and gained momentum in 1995 with the discovery of the first exoplanet. By analyzing the mass-radius relationship of iron-rock and ice-gas planets, their internal structure and composition can be inferred. The large number of confirmed exoplanets to date has improved our understanding of the solar system.
RESEARCH IN ASTRONOMY AND ASTROPHYSICS
(2023)
Article
Neurosciences
Camila Cosmo, Amin Zandvakili, Nicholas J. Petrosino, Thaise Graziele L. de O. Toutain, Jose Garcia Vivas Miranda, Noah S. Philip
Summary: In this study, the effects of rTMS on individuals with pharmacoresistant depression were examined using FCN models and serial EEG. The results showed significant changes in brain activity in the left posterior area after five rTMS sessions, and improvement in depressive symptoms. These findings contribute to a better understanding of the mechanisms underlying rTMS treatment and the potential use of EEG changes as predictors of therapeutic response.
FRONTIERS IN NEURAL CIRCUITS
(2023)
Article
Clinical Neurology
Matheus Silva d'Alencar, Gabriel Venas Santos, Andre Frazao Helene, Antonio Carlos Roque, Jose Garcia Vivas Miranda, Maria Elisa Pimentel Piemonte
Summary: A two-dimensional gait assessment using kinematic variables can effectively identify the decline in gait performance associated with the progression of Parkinson's disease. This study offers a promising possibility of early identification of subtle changes in gait function in people with Parkinson's disease.
FRONTIERS IN NEUROLOGY
(2023)
Article
Public, Environmental & Occupational Health
Ludmilla Monfort Oliveira Sousa, Hernane Borges de Barros Pereira, Edna Maria de Araujo, Jose Garcia Vivas Miranda
Summary: This study applies network analysis as a tool to analyze the intermunicipal interaction network in the Brazilian Unified Health System (SUS) management. The analysis shows an increasing importance of a municipality as a provider of cardiovascular surgery services.
INTERNATIONAL JOURNAL FOR EQUITY IN HEALTH
(2023)
Article
Engineering, Biomedical
Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, Patricia Maria de Carvalho Aguiar, Eduardo Ponde de Sena, Francisco A. Rodrigues, Aruane M. Pineda, Christiane Thielemann
Summary: This study presents a rigorous approach using machine learning and deep learning techniques to automate the diagnosis of schizophrenia. By analyzing functional magnetic resonance imaging and electroencephalogram datasets, the researchers established a model that achieved excellent classification results. The findings demonstrate that the topology and dynamics of brain networks in individuals with schizophrenia differ from those without the disorder, and EEG measurements outperformed complex networks in capturing the brain alterations associated with schizophrenia.
JOURNAL OF NEURAL ENGINEERING
(2023)
Review
Engineering, Marine
Rodrigo N. Vasconcelos, Andre T. Cunha Lima, Carlos A. D. Lentini, Jose Garcia V. Miranda, Luis F. F. de Mendonca, Jose M. Lopes, Mariana M. M. Santana, Elaine C. B. Cambui, Deorgia T. M. Souza, Diego P. Costa, Soltan G. Duverger, Washington S. Franca-Rocha
Summary: This study employed a novel approach to assess the scientific literature on oil spill detection and mapping using deep learning (OSDMDL) through bibliometric analysis and literature review. The findings demonstrate significant advancements in oil detection methods at sea, with a correlation between technological evolution and improved remote sensing data acquisition. Different neural network architectures, such as multilayer perceptrons (MLP), convolutional neural networks (CNN), U-Net, DeepLabv3+, and fully convolutional network (FCN), were identified and their relative significance highlighted. The analysis provides insights into collaboration, interdisciplinarity, and research methodology in OSDMDL, contributing to the development of effective strategies for mitigating the environmental impact of oil spills.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Public, Environmental & Occupational Health
Noha Algallai, Kelly Martin, Krupali Shah, Kusum Shrestha, Jean-Francois Daneault, Archana Shrestha, Abha Shrestha, Shristi Rawal
Summary: A study in Nepal evaluated the reliability and validity of the modified GPAQ questionnaire for assessing physical activity among pregnant women. The results showed that GPAQ is reliable for assessing moderate intensity physical activity but not sedentary behavior.
ARCHIVES OF PUBLIC HEALTH
(2023)
Article
Mathematics, Applied
Jose Garcia Vivas Miranda, Rodrigo Nogueira Vasconcelos, Carlos Alessandre Domingos Lentini, Andre T. Cunha Lima, Luis Felipe Ferreira Mendonca
Summary: This paper introduces a novel algorithm called MAMSE, based on the multiscale entropy method, which overcomes the challenges posed by anisotropic fractal properties. The experimental results demonstrate the superior performance and efficiency of MAMSE compared to the two-dimensional multiscalar entropy algorithm.
PHYSICA D-NONLINEAR PHENOMENA
(2023)
Article
Rehabilitation
Chris McGibbon, Andrew Sexton, Pearl Gryfe, Tilak Dutta, Arun Jayaraman, Susan Deems-Dluhy, Alison Novak, Eric Fabara, Catherine Adans-Dester, Paolo Bonato
Summary: This study evaluated the use of the Keeogo (TM) exoskeleton in people with multiple sclerosis (MS). The results showed that using the exoskeleton at home improved physical functioning and emotional well-being in the participants. These benefits were linked to the amount of device usage.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2023)