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
Dongrong Lai, Zijun Wan, Jiafan Lin, Li Pan, Feixiao Ren, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao, Kedi Xu
Summary: In this study, neural signals from a paralyzed individual's left motor cortex were recorded during unimanual and bimanual motor imagery tasks to investigate how the human brain coordinates bimanual movements. The results showed that while there was a similar preference for each arm during unimanual movements, the preference for the contralateral arm increased to 71.8% during bimanual movements, indicating contralateral lateralization. It was also observed that there was a decorrelation process for each arm's representation across the unimanual and bimanual tasks. These findings contribute to our understanding of bimanual coordination and the development of advanced bimanual brain-computer interfaces.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Ursula Debarnot, Aurore. A. Perrault, Virginie Sterpenich, Guillaume Legendre, Chieko Huber, Aymeric Guillot, Sophie Schwartz
Summary: The study found that using MI treatment during arm immobilization had beneficial effects on sensorimotor representation of hands, cortical excitability in M1, and sleep features including sleep spindles. This supports that implementing MI during immobilization may limit deleterious effects of limb disuse.
SCIENTIFIC REPORTS
(2021)
Review
Neurosciences
Austin J. Hurst, Shaun G. Boe
Summary: In the past few decades, researchers have been interested in the mechanisms and neural overlap of motor imagery. This review summarizes the core claims of five contemporary theories of motor imagery and discusses their differences, overlap, and future directions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Chuanming Chen, Dayi Lai, Qingyan Chen
Summary: The manufacturing industry consumes a large amount of energy for ventilation, but workers' arm movements may cause pollutant leakage and reduce ventilation efficiency. This study used computational fluid dynamics to study the human arm induced pollutant leakage and proposed an empirical formula to predict it. The study found that the inclined in-out movement caused the most pollutant leakage, and a higher movement velocity increased the leakage amount.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Artificial Intelligence
Xuesong Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
Summary: In this study, researchers recorded users' fine-grained reading behaviors during microblog sentiment classification and analyzed the differences between human and machine attention distributions and the differences in human attention while performing different tasks. They found that sentiment judgment is more like an auxiliary task of content comprehension for humans and people have different reading behavior patterns while reading microblog posts with varying labels of sentiment. Based on these findings, they built a human behavior-inspired sentiment prediction model for microblog posts and experiment results showed its superiority over existing solutions.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
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
Neurosciences
Jiafan Lin, Dongrong Lai, Zijun Wan, Linqing Feng, Junming Zhu, Jianmin Zhang, Yueming Wang, Kedi Xu
Summary: In this study, the representation and decoding of different laterality and regions arm motor imagery in unilateral motor cortex were examined using local field potentials (LFPs). The results showed that different tasks had significant differences in average energy and could be decoded using LFP signals. Moreover, the 135-300 Hz band signal had the highest decoding accuracy and the contralateral and bilateral signals had more similar power activation patterns and larger signal correlation than contralateral and ipsilateral signals, bilateral and ipsilateral signals.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Zenggui Gao, Jiaying Li, Mengyao Dong, Ruining Yang, Lilan Liu
Summary: This paper proposes a 3D eye movement interaction technique framework to address the interaction challenges in virtual workshops. The accuracy and effectiveness of the technology are verified through eye movement experiments and model establishment.
Article
Engineering, Biomedical
Qingsong Ai, Mengyuan Zhao, Kun Chen, Xuefei Zhao, Li Ma, Quan Liu
Summary: This paper presents an optimized neural network architecture for brain-computer interface technology. By removing artifact components, augmenting data, and using ensemble learning and transfer learning methods, the control of a robotic arm with multiple degrees of freedom is achieved. Experimental results demonstrate improved classification accuracy and model generality.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Clinical Neurology
Christa Einspieler, Daniela Prayer, Peter B. Marschik
Summary: Research on the onset and ontogeny of human behavior shows that fetal movement patterns are spontaneously generated, with the embryo starting to move by 7.5 weeks of gestation. Different movement patterns such as general movements, isolated limb movements, and breathing movements appear later, indicating a close association between activity and the development of peripheral and central structures. In cases of developmental brain dysfunction, fetal general movements may change in sequence and form, suggesting a dysfunction in the developing nervous system.
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Carlos Johnnatan Sandoval, Felix Francisco Ramos
Summary: This article presents a conceptual motor-system cognitive architecture inspired by the human nervous system, and a cognitive architecture focused on voluntary movement controlled by feed-forward. It describes the brain cortex areas that make up the motor system, the tasks they do, and how they work together, followed by a cognitive architecture based on this information. A case study using the proposed cognitive architecture to execute a voluntary-movement-by-feed-forward-control task is also presented.
COGNITIVE SYSTEMS RESEARCH
(2021)
Article
Biology
Jeremy D. Wong, Tyler Cluff, Arthur D. Kuo
Summary: The smoothness of human reaching movements is found to be economical, as jerkier motions lead to higher metabolic energy expenditure. The mechanism proposed involves an underappreciated cost proportional to the rate of muscle force production. This physiologically measurable energy cost may explain both smoothness and duration, helping to resolve motor redundancy in reaching movements.
Article
Computer Science, Artificial Intelligence
Xiaoming Wang, Xinbo Zhao, Yanning Zhang
Summary: Eye-movement recognition is a new type of biometric recognition technology that focuses on reading eye movements. A computational model for reading eye-movement recognition (REMR) was constructed using deep learning framework to identify human subjects. Experimental results showed high recognition accuracy in test sets.
Article
Neurosciences
Eric Piveteau, Franck Di Rienzo, Olivier Bolliet, Aymeric Guillot
Summary: This study aimed to investigate the effects of embedded motor imagery (MI) practice on lower limb muscle strength and explore the transfer effects of MI on a different movement. The results showed that participants who engaged in MI of the back squat showed improved performance in the back squat exercise and there was evidence of transfer effects when MI targeted a different movement involving the lower limbs.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Neurosciences
Xiaomei Lin, Tianyuyi Feng, Erheng Cui, Yunfei Li, Zhang Qin, Xiaohu Zhao
Summary: This study successfully established a rat model based on the genetic-environmental interaction, which exhibited phenotype characteristics similar to human AD in terms of cognitive function, brain microstructure, and immunohistochemistry. The genetic factor (APP mutation) and the environmental factor (acrolein exposure) accounted for 39.74% and 33.3% of the AD-like phenotypes in the model, respectively.
Article
Neurosciences
Gustavo Guimara Guerrero, Giovanna Bignoto Minhoto, Camilla dos Santos Tiburcio-Machado, Itza Amarisis Ribeiro Pinto, Claudio Antonio Federico, Marcia Carneiro Valera
Summary: The present study evaluated the influence of head and neck radiotherapy on the behavior and body weight gain in Wistar rats. The results demonstrated that different doses of radiation induced depressive behavior in the animals, and that the weight gain tended to be lower in the irradiated groups.
Article
Neurosciences
Ziwei Gao, Chao Lu, Yaping Zhu, Yuxin Liu, Yuesong Lin, Wenming Gao, Liyuan Tian, Lei Wu
Summary: This study reveals the underlying mechanisms of the rapid antidepressant effects of merazin hydrate (MH), which activates CaMKII to promote neuronal activities and proliferation in the hippocampus.
Article
Neurosciences
Kathleen E. Murray, Whitney A. Ratliff, Vedad Delic, Bruce A. Citron
Summary: Gulf War Illness (GWI) is a chronic disorder that affects approximately 30% of Veterans deployed to the Persian Gulf. This study found that exposure to toxicants during the Gulf War resulted in long-term changes in the morphology of dentate granule cells and that treatment with Nrf2 activator could improve neuronal health in the hippocampus.
Article
Neurosciences
Jing Li, Yan Zou, Xiangchuang Kong, Yangming Leng, Fan Yang, Guofeng Zhou, Bo Liu, Wenliang Fan
Summary: This study examines the functional connectivity changes in individuals with sudden sensorineural hearing loss (SSNHL) at the integrity, network, and edge levels. The findings reveal reduced intranetwork connectivity strength and increased internetwork connectivity in SSNHL patients. These alterations are associated with the duration of SSNHL and Tinnitus Handicap Inventory scores. The study provides crucial insights into the neural mechanisms of SSNHL and the brain's network-level responses to sensory loss.
Review
Neurosciences
Didier Majou, Anne-Lise Dermenghem
Summary: In the early stages of SAD, memory impairment is strongly correlated with cortical levels of soluble amyloid-beta peptide oligomers. A beta disrupts glutamatergic synaptic function and leads to cognitive deficits. This article describes the pathogenic mechanisms underlying cerebral amyloidosis, involving amyloid precursor protein synthesis, A beta residue clearance processes, and the role of specific molecules.
Article
Neurosciences
Jing Li, Yi Shan, Xiaojing Zhao, Guixiang Shan, Peng-Hu Wei, Lin Liu, Changming Wang, Hang Wu, Weiqun Song, Yi Tang, Guo-Guang Zhao, Jie Lu
Summary: This study investigates changes in brain anatomical structures and functional network connectivity after chronic complete thoracic spinal cord injury (cctSCI) and their impact on clinical outcomes. The findings reveal alterations in gray matter volume and functional connectivity in specific brain regions, indicating potential therapeutic targets and methods for tracking treatment outcomes.
Article
Neurosciences
Anllely Fernandez, Katherine Corvalan, Octavia Santis, Maxs Mendez-Ruette, Ariel Caviedes, Matias Pizarro, Maria -Teresa Gomez, Luis Federico Batiz, Peter Landgraf, Thilo Kahne, Alejandro Rojas-Fernandez, Ursula Wyneken
Summary: This study reveals the importance of SUMOylation in modulating the protein cargo of astrocyte-derived small extracellular vesicles (sEVs) and its potential impact on neurons.
Article
Neurosciences
Anika Luettig, Stefanie Perl, Maria Zetsche, Franziska Richter, Denise Franz, Marco Heerdegen, Ruediger Koehling, Angelika Richter
Summary: This study found that changes in c-Fos activity during short-term stimulation of the entopeduncular nucleus (EPN) are associated with improvement in dystonia, and also discovered that the cerebellum may be involved in the antidystonic effects.
Article
Neurosciences
Yanlin Tao, Wei Shen, Houyuan Zhou, Zikang Li, Ting Pi, Hui Wu, Hailian Shi, Fei Huang, Xiaojun Wu
Summary: Depression has a higher incidence in women compared to men, and this study investigated the impact of sex on depressive behaviors and underlying mechanisms using a corticosterone-induced depression model in mice. The results showed sex-specific anxiety and depression behaviors in the model group, as well as differences in protein expression and neurotransmitter levels between male and female mice. These findings enhance our understanding of sex-specific differences in depression and support tailored interventions.
Review
Neurosciences
Dnyandev G. Gadhave, Vrashabh V. Sugandhi, Chandrakant R. Kokare
Summary: This article discusses the characteristics and importance of the tight junctions of endothelial cells in the CNS, which act as a biological barrier known as the blood-brain barrier (BBB). It focuses on overcoming the challenges of delivering therapeutic agents to the brain in neurodegenerative disorders, particularly multiple sclerosis, through the use of biomaterials. The article also highlights the current limitations of animal models for studying multiple sclerosis and suggests a potential future research direction.
Article
Neurosciences
Li-Min Mao, Khyathi Thallapureddy, John Q. Wang
Summary: Propofol can enhance synapsin phosphorylation and modulate synaptic transmission in the mouse brain. The study reveals the potential role of synapsin as a substrate of propofol and its effects on neurotransmitter release machinery.
Article
Neurosciences
Syed Maaz Ahmed Rizvi, Abdul Baseer Buriro, Irfan Ahmed, Abdul Aziz Memon
Summary: This study explores the effects of prolonged mask usage on the human brain by analyzing EEG and physiological parameters. The results show that the mean EEG spectral power in alpha, beta, and gamma sub-bands of individuals wearing masks is smaller than those without masks. The performances on cognitive tasks and oxygen saturation level differ between the two groups, while blood pressure, body temperature, and heart rate are similar. The analysis also reveals that the occipital and frontal lobes exhibit the greatest variability in channel measurements.
Article
Neurosciences
Rui-Fang Ma, Lu-Lu Xue, Jin-Xiang Liu, Li Chen, Liu-Lin Xiong, Ting-Hua Wang, Fei Liu
Summary: This study observed changes in brain infarction and blood vessels in rats during neonatal hypoxic ischemic encephalopathy (NHIE) modeling using Transcranial Doppler Ultrasonography (TCD). Longer duration of hypoxia was associated with more severe nerve damage. TCD can dynamically monitor cerebral infarction after NHIE modeling, which may serve as a useful auxiliary method for evaluating animal experimental models.
Article
Neurosciences
Yuxiang Dai, Chen Yu, Lu Zhou, Longyang Cheng, Hongbin Ni, Weibang Liang
Summary: Overexpression of CXCR4 in glioma is correlated with patient survival, and its inhibition can reduce invasion and migration of glioma cells. Inhibiting Nur77 also decreases cancer progression associated with CXCR4.