Article
Neurosciences
Xiangyu Liu, Meiyu Zhou, Yanjuan Geng, Long Meng, Huiying Wan, Haoran Ren, Xinyue Zhang, Chenyun Dai, Wei Chen, Xinming Ye
Summary: This study investigated the fatigue mechanism of Biceps Brachii muscle under different contraction tasks by analyzing the synchronization of motor unit spike trains. The results showed a significant increase in motor unit synchronization across all frequency bands, indicating that the microscopic fatigue mechanism of the muscle remains consistent regardless of the type of contraction tasks.
NEUROSCIENCE LETTERS
(2021)
Article
Engineering, Mechanical
Marius E. E. Yamakou, Estelle M. M. Inack
Summary: Specific network topology and STDP parameter intervals have been found to simultaneously enhance coherence resonance (CR) and stochastic synchronization (SS) in neural networks. These results suggest that optimizing the background noise, STDP rule, and network topology can enhance both the time precision of firing and the synchronization in neural systems.
NONLINEAR DYNAMICS
(2023)
Article
Biochemical Research Methods
Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor Kazantsev
Summary: Modern well-performing approaches to neural decoding are based on machine learning models. Diverse and challenging benchmarks for neural decoding are needed due to the wide range of algorithms available for learning from neural spike trains. This work proposes a spike train classification benchmark, utilizing open-access neural activity datasets and covering tasks such as stimulus type classification, animal's behavioral state prediction, and neuron type identification. The result shows that a hand-crafted time-series feature engineering approach performs on par with state-of-the-art deep learning-based models for neural decoding.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Physics, Fluids & Plasmas
Seungjae Lee, Katharina Krischer
Summary: A prominent type of collective dynamics in networks of coupled oscillators is the coexistence of coherently and incoherently oscillating domains known as chimera states. In this paper, the authors study the full phase space dynamics of three-population networks of identical Kuramoto-Sakaguchi phase oscillators and demonstrate the existence of macroscopic chaotic chimera attractors that exhibit aperiodic antiphase dynamics of the order parameters. These chaotic chimera states coexist with a stable chimera solution on the Ott-Antonsen manifold and a symmetric stationary chimera solution, resulting in tristability of chimera states. Only the symmetric stationary chimera solution exists in the symmetry-reduced manifold.
Article
Mathematics, Interdisciplinary Applications
Kamil Rajdl, Lubomir Kostal
Summary: This paper demonstrates the possibility of estimating the variability of neuronal spike trains based on a single specific time interval. Two simple and precise Fano factor estimators are proposed and they are particularly suitable for rapidly changing variability.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Neurosciences
John C. Myers, Elliot H. Smith, Marcin Leszczynski, James O'Sullivan, Mark J. Yates, Guy McKhann, Nima Mesgarani, Charles Schroeder, Catherine Schevon, Sameer A. Sheth
Summary: Neuronal coherence is a fundamental mechanism in the brain that coordinates synaptic and spiking events. This study used electrocorticography and microelectrode arrays to estimate the spatial reach of neuronal coherence and found that its magnitude and spectral frequency have effects on its spatial range and coherence strength.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Ahmadreza Keihani, Amin Mohammad Mohammadi, Hengameh Marzbani, Shahriar Nafissi, Mohsen Reza Haidari, Amir Homayoun Jafari
Summary: This study investigated cortico-muscular interactions during motor tasks using the sparse representation method to detect coupling in task-related and non-task sEMG signals. The results showed that the sparse representation approach outperformed the CMC method in discerning the EMG channels involved in contraction tasks and non-tasks.
Article
Mathematics, Interdisciplinary Applications
Matteo Beretta-Piccoli, Corrado Cescon, Ausilia Vistarini, Caterina Pisegna, Beatrice Vannini, Cristian Zampella, Luca Calanni, Emiliano Soldini, Marco Barbero, Giuseppe D'Antona
Summary: The study aimed to validate the relationship between fractal dimension (FD) of surface electromyographic (EMG) signal and firing rate and synchronization of motor units. Thirteen healthy subjects participated in an isometric knee extension task, and intramuscular and surface EMG signals were recorded concurrently. Results showed that FD was negatively correlated with motor unit synchronization and positively correlated with firing rate. However, the correlation between FD and firing rate was only significant during the initial 50 seconds of contraction. Therefore, FD of surface EMG signal is mostly related to firing rate and can be considered as an index of performance fatigability during sustained or prolonged contractions.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Biomedical
Robin Rohlen, Jonathan Lundsberg, Christian Antfolk
Summary: A convolutive blind source separation (CBSS) algorithm was used to estimate spike trains of unfused tetanic signals and compared to the Haar wavelet method (HWM). The CBSS showed better performance than the HWM in simulated and experimental conditions. This suggests that CBSS can be directly used in the ultrasound-based motor unit identification pipeline, and has the potential to decompose ultrasound images into spike trains.
BIOMEDICAL ENGINEERING ONLINE
(2023)
Article
Computer Science, Information Systems
Aljaz Francic, Ales Holobar
Summary: The study analyzed the efficiency of Motor Unit tracking across different contraction levels in various muscles, demonstrating higher efficiency in transferring MU filters from low to high contraction levels in simulated conditions and muscle-dependent efficiency in experimental conditions. The majority of MUs identified at lower contraction levels were successfully tracked at higher levels, with only slight decrease in Sensitivity, likely due to differences in muscle size and anatomy impacting MU filter transfer efficiencies.
Article
Physics, Fluids & Plasmas
Vladimir Klinshov, Sergey Kirillov, Vladimir Nekorkin
Summary: The study found that the collective dynamics of populations significantly depend on the form of the parameter distribution, even with Lorentzian and Gaussian distributions having the same center and width showing distinct differences in population dynamics.
Article
Computer Science, Information Systems
Luca Mesin
Summary: The paper proposes a new method to extract information on the control of motor units (MU) in the case of a single differential channel. Testing on three simulators shows that the performance of the proposed method is highly accurate, especially for models with different innervation zones.
Article
Multidisciplinary Sciences
Rouven Kenville, Tom Maudrich
Summary: This study investigates the neural input during unilateral contractions by analyzing surface electromyography recordings. The results suggest an overlap of spectral properties between active and passive hands during repeated unilateral contractions, indicating a possible common neural origin.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Dimitris Fotis Sakellariou, Angeliki Vakrinou, Michalis Koutroumanidis, Mark Phillip Richardson
Summary: Despite the brain operating at millisecond timescales, the study of its functional networks often relies on time invariant methods. Neurocraft, a user-friendly software suite, offers a highly novel signal processing engine to track evolving brain network states with superior resolution. By analyzing dynamic connectivity maps, force-directed representations, propagation models, and using machine-learning tools, researchers can selectively investigate transient pathophysiological dynamics.
SCIENTIFIC REPORTS
(2021)
Article
Cell Biology
Tal Dalal, Rafi Haddad
Summary: Increasing y-synchronization of mitral/tufted cells (MTC) enhances odor-evoked firing rates in cortical neurons, reduces response variability, and improves odor ensemble representation in the piriform cortex.
Article
Clinical Neurology
Woohyoung Jeon, Lisa Griffin
Article
Neurosciences
Woohyoung Jeon, Jody L. Jensen, Lisa Griffin
Article
Physiology
Yi-Ling Peng, Anthony E. Johnson, Lisa Griffin
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2020)
Article
Neurosciences
Shiqi Yu, Timothy Lowe, Lisa Griffin, Xuanliang Neil Dong
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2020)
Article
Sport Sciences
Woohyoung Jeon, John Michael Harrison, Philip R. Stanforth, Lisa Griffin
Summary: The study found that female Olympic lifters had the highest bone mineral density, followed by power lifters and soccer players, while recreationally active women had lower bone mineral density in comparison.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2021)
Article
Biophysics
Woohyoung Jeon, Hao-Yuan Hsiao, Lisa Griffin
Summary: The study investigated the effects of different initial foot positions on kinematics, muscle activation patterns, and balance control during a sit-to-stand task in younger and older adults. The toes-out foot position led to smaller trunk flexion angles and greater activation of hip muscles, contributing to improved postural stability during the task. This suggests that training with a toes-out foot position could be an effective rehabilitation strategy for older adults to strengthen hip muscles and improve balance control during a sit-to-stand task.
JOURNAL OF BIOMECHANICS
(2021)
Article
Neurosciences
Woohyoung Jeon, Jill Whitall, Lisa Griffin, Kelly P. Westlake
Summary: Older adults demonstrated shorter burst duration of RF EMG, reduced trunk flexion, and decreased stability compared to younger adults during the StandTS task. Trunk flexion angle and RF EMG burst duration were correlated with stability.
Article
Biotechnology & Applied Microbiology
Xiao Hou, Xiaoling Wang, Lisa Griffin, Fuyuan Liao, Joseph Peters, Yih-Kuen Jan
Summary: This study demonstrates the time effect of cupping therapy in reducing muscle fatigue, showing significant delayed effects on recovery after fatigue. Immediate effects on reducing muscle fatigue were not significant.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Review
Biotechnology & Applied Microbiology
Xiao Hou, Jingmin Liu, Kaixiang Weng, Lisa Griffin, Laura A. Rice, Yih-Kuen Jan
Summary: This study found that compression and LEDT have a significant effect on reducing muscle fatigue, and compression, active recovery, and cooling have a significant effect on reducing muscle fatigue when applied during exercise, but not after exercise.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Neurosciences
Woohyoung Jeon, Lisa Griffin, Hao-Yuan Hsiao
Summary: This study revealed that an age-related decline in standing balance control in the medio-lateral direction may increase the risk of falls. Changing the initial foot position can improve postural stability, with different initial foot positions having varying effects on muscle activation patterns and postural stability in younger and older adults.
Article
Neurosciences
Timothy W. Lowe, Matthew S. Tenan, Kena Shah, Lisa Griffin
Summary: Resistance training with low loads in combination with blood flow restriction (BFR) leads to a rapid decline in motor unit discharge rate, accelerating neuromuscular fatigue.
EXPERIMENTAL BRAIN RESEARCH
(2023)
Meeting Abstract
Sport Sciences
Xin Yu, Huiying Zhu, Lindsey Hammond, Lisa Griffin
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2022)
Meeting Abstract
Sport Sciences
Zhong Wang, Amelia Chen, Anthony Johnson, Lisa Griffin
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2020)
Meeting Abstract
Sport Sciences
Lisa Griffin, Woohyoung Jeon, J. Michael Harrison, Phillip Stanforth
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2020)
Meeting Abstract
Sport Sciences
Timothy W. Lowe, Lisa Griffin, Robert W. Dennis, Arturo Arce-Esquivel, Xuanliang Neil Dong
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2020)
Article
Biochemical Research Methods
Aline Silva da Cruz, Maria Margarida Drehmer, Wagner Baetas-da-Cruz, Joao Carlos Machado
Summary: This study quantified microcirculation cerebral blood flow in a rat model of ischemic stroke using ultrasound biomicroscopy and ultrasound contrast agents. The results showed high sensitivity and specificity of this method, making it a valuable tool for preclinical studies.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Christina Dalla, Ivana Jaric, Pavlina Pavlidi, Georgia E. Hodes, Nikolaos Kokras, Anton Bespalov, Martien J. Kas, Thomas Steckler, Mohamed Kabbaj, Hanno Wuerbel, Jordan Marrocco, Jessica Tollkuhn, Rebecca Shansky, Debra Bangasser, Jill B. Becker, Margaret McCarthy, Chantelle Ferland-Beckham
Summary: Many funding agencies have emphasized the importance of considering sex as a biological variable in experimental design to improve the reproducibility and translational relevance of preclinical research. Omitting the female sex from experimental designs in neuroscience and pharmacology can result in biased or limited understanding of disease mechanisms. This article provides methodological considerations for incorporating sex as a biological variable in in vitro and in vivo experiments, including the influence of age and hormone levels, and proposes strategies to enhance methodological rigor and translational relevance in preclinical research.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Wenyu Gu, Dongxu Li, Jia-Hong Gao
Summary: We developed a precise and rapid method for positioning and labelling triaxial OPMs on a wearable magnetoencephalography (MEG) system, improving the efficiency of OPM positioning and labelling.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Kai Lin, Linhang Zhang, Jing Cai, Jiaqi Sun, Wenjie Cui, Guangda Liu
Summary: The article introduces an EEG feature map processing model for emotion recognition, which achieves significantly improved accuracy by fusing EEG information at different spatial scales and introducing a channel attention mechanism.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
John E. Parker, Asier Aristieta, Aryn H. Gittis, Jonathan E. Rubin
Summary: This work presents a toolbox that implements a methodology for automated classification of neural responses based on spike train recordings. The toolbox provides a user-friendly and efficient approach to detect various types of neuronal responses that may not be identified by traditional methods.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Yun Liang, Ke Bo, Sreenivasan Meyyappan, Mingzhou Ding
Summary: This study compared the performance of SVM and CNN on the same datasets and found that CNN achieved consistently higher classification accuracies. The classification accuracies of SVM and CNN were generally not correlated, and the heatmaps derived from them did not overlap significantly.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Antonino Visalli, Maria Montefinese, Giada Viviani, Livio Finos, Antonino Vallesi, Ettore Ambrosini
Summary: This study introduces an analytical strategy that allows the use of mixed-effects models (LMM) in mass univariate analyses of EEG data. The proposed method overcomes the computational costs and shows excellent performance properties, making it increasingly important in the field of neuroscience.
JOURNAL OF NEUROSCIENCE METHODS
(2024)
Article
Biochemical Research Methods
Xavier Cano-Ferrer, Alexandra Tran -Van -Minh, Ede Rancz
Summary: This study developed a novel rotation platform for studying neural processes and spatial navigation. The platform is modular, affordable, and easy to build, and can be driven by the experimenter or animal movement. The research demonstrated the utility of the platform, which combines the benefits of head fixation and intact vestibular activity.
JOURNAL OF NEUROSCIENCE METHODS
(2024)