AIMC Topic: Evoked Potentials, Motor

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Reliability of robotic transcranial magnetic stimulation motor mapping.

Journal of neurophysiology Nov 4, 2020
Robotic transcranial magnetic stimulation (TMS) is a noninvasive and safe tool that produces cortical motor maps using neuronavigational and neuroanatomical images. Motor maps are individualized representations of the primary motor cortex (M1) topogr...
Humans Female Robotics Evoked Potentials, Motor Motor Cortex Transcranial Magnetic Stimulation Adult Sensitivity and Specificity Male Brain Mapping
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Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis.

BMC neurology Mar 21, 2020
BACKGROUND: Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are ...
Belgium Evoked Potentials, Motor Logistic Models Disability Evaluation Multiple Sclerosis Machine Learning Humans Datasets as Topic Female Male Disease Progression
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Aged Male Middle Aged Severity of Illness Index Humans Neural Networks, Computer Machine Learning Female Evoked Potentials, Motor Exercise Therapy Motor Cortex Outcome Assessment, Health Care Transcranial Magnetic Stimulation Upper Extremity Stroke Rehabilitation Support Vector Machine Magnetic Resonance Imaging Chronic Disease Stroke
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Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain.

Journal of visualized experiments : JoVE Jul 1, 2019
Mapping the motor cortex with transcranial magnetic stimulation (TMS) has potential to interrogate motor cortex physiology and plasticity but carries unique challenges in children. Similarly, transcranial direct current stimulation (tDCS) can improve...
Transcranial Direct Current Stimulation Evoked Potentials, Motor Motor Cortex Transcranial Magnetic Stimulation Muscle, Skeletal Brain Mapping Robotics Hand Humans Adult Magnetic Resonance Imaging
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Classification of needle-EMG resting potentials by machine learning.

Muscle & nerve Dec 18, 2018
INTRODUCTION: The diagnostic importance of audio signal characteristics in needle electromyography (EMG) is well established. Given the recent advent of audio-sound identification by artificial intelligence, we hypothesized that the extraction of cha...
Rest Needles Fourier Analysis Evoked Potentials, Motor Muscular Diseases Muscle, Skeletal Humans Signal Processing, Computer-Assisted Machine Learning Electromyography Female Linear Models Male
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Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children.

Neural plasticity Dec 18, 2018
Transcranial direct-current stimulation (tDCS) enhances motor learning in adults. We have demonstrated that anodal tDCS and high-definition (HD) tDCS of the motor cortex can enhance motor skill acquisition in children, but behavioral mechanisms remai...
Motor Activity Transcranial Direct Current Stimulation Evoked Potentials, Motor Motor Cortex Proprioception Humans Double-Blind Method Learning Reaction Time Psychomotor Performance Functional Laterality Biomechanical Phenomena Adolescent Child Robotics
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Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Oct 28, 2018
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. Recent research has shown that nonlinear classification algorithms perform better than their linear counterparts, but most o...
Humans Neural Networks, Computer Machine Learning Brain-Computer Interfaces Algorithms Evoked Potentials, Motor Learning Imagery, Psychotherapy Electroencephalography Datasets as Topic
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Robotic TMS mapping of motor cortex in the developing brain.

Journal of neuroscience methods Aug 16, 2018
BACKGROUND: The human motor cortex can be mapped safely and painlessly with transcranial magnetic stimulation (TMS) to explore neurophysiology in health and disease. Human error likely contributes to heterogeneity of such TMS measures. Here, we aimed...
Female Male Adolescent Brain Mapping Robotics Humans Evoked Potentials, Motor Motor Cortex Transcranial Magnetic Stimulation
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A novel deep learning approach for classification of EEG motor imagery signals.

Journal of neural engineering Nov 30, 2016
OBJECTIVE: Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types of data. However, the number ...
Algorithms Reproducibility of Results Sensitivity and Specificity Electroencephalography Humans Imagination Pattern Recognition, Automated Machine Learning Sensorimotor Cortex Brain-Computer Interfaces Movement Evoked Potentials, Motor
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Motor Cortex Imagination Electroencephalography Algorithms Signal Processing, Computer-Assisted Brain-Computer Interfaces Intention Humans Movement Fourier Analysis Reproducibility of Results Pattern Recognition, Automated Neural Networks, Computer Evoked Potentials, Motor Sensitivity and Specificity Machine Learning Brain Mapping
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