Ultrasensitive magnetic field sensors for biomedical applications

D Murzin, DJ Mapps, K Levada, V Belyaev… - Sensors, 2020 - mdpi.com
The development of magnetic field sensors for biomedical applications primarily focuses on
equivalent magnetic noise reduction or overall design improvement in order to make them …

[HTML][HTML] Can EEG and MEG detect signals from the human cerebellum?

LM Andersen, K Jerbi, SS Dalal - NeuroImage, 2020 - Elsevier
The cerebellum plays a key role in the regulation of motor learning, coordination and timing,
and has been implicated in sensory and cognitive processes as well. However, our current …

Physical exercise for brain plasticity promotion an overview of the underlying oscillatory mechanism

X Li, X Qu, K Shi, Y Yang, J Sun - Frontiers in Neuroscience, 2024 - frontiersin.org
The global recognition of the importance of physical exercise (PE) for human health has
resulted in increased research on its effects on cortical activity. Neural oscillations, which are …

Modeling and causality analysis of human sensorimotor control system based on NVAR method

J Tan, Y Li, Q **e, X Wang - International Journal of Network Dynamics …, 2023 - sciltp.com
Neuromuscular disorders (such as stroke and spinal cord injuries) can lead to nerve
damage that profoundly affects a patient's ability to control limb movements. Analyzing and …

Muscle synergies and coherence networks reflect different modes of coordination during walking

JN Kerkman, A Bekius, TW Boonstra… - Frontiers in …, 2020 - frontiersin.org
When walking speed is increased, the frequency ratio between the arm and leg swing
switches spontaneously from 2: 1 to 1: 1. We examined whether these switches are …

A review of combined functional neuroimaging and motion capture for motor rehabilitation

EA Lorenz, X Su, N Skjaeret-Maroni - Journal of NeuroEngineering and …, 2024 - Springer
Background Technological advancements in functional neuroimaging and motion capture
have led to the development of novel methods that facilitate the diagnosis and rehabilitation …

[HTML][HTML] Mutual beta power modulation in dyadic entrainment

M Rosso, OA Heggli, PJ Maes, P Vuust, M Leman - Neuroimage, 2022 - Elsevier
Across a broad spectrum of interactions, humans exhibit a prominent tendency to
synchronize their movements with one another. Traditionally, this phenomenon has been …

[HTML][HTML] Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and …

HJ Kim, JS Kim, CK Chung - NeuroImage, 2023 - Elsevier
Cerebral cortical representation of motor kinematics is crucial for understanding human
motor behavior, potentially extending to efficient control of the brain-computer interface …

Enhancement of EEG–EMG coupling detection using corticomuscular coherence with spatial–temporal optimization

J Sun, T Jia, Z Li, C Li, L Ji - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Corticomuscular coherence (CMC) is widely used to detect and quantify the
coupling between motor cortex and effector muscles. It is promisingly used in human …

Re‐emergent tremor in Parkinson's disease: the role of the motor cortex

G Leodori, D Belvisi, MI De Bartolo… - Movement …, 2020 - Wiley Online Library
Background Parkinson's disease patients may show a tremor that appears after a variable
delay while the arms are kept outstretched (re‐emergent tremor). The objectives of this study …