AIMC Topic: Motor Cortex

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Deep learning for neural decoding in motor cortex.

Journal of neural engineering Sep 23, 2022
. Neural decoding is an important tool in neural engineering and neural data analysis. Of various machine learning algorithms adopted for neural decoding, the recently introduced deep learning is promising to excel. Therefore, we sought to apply deep...
Deep Learning Movement Motor Cortex Neural Networks, Computer Algorithms
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Age-Related Changes in Functional Connectivity during the Sensorimotor Integration Detected by Artificial Neural Network.

Sensors (Basel, Switzerland) Mar 25, 2022
Large-scale functional connectivity is an important indicator of the brain's normal functioning. The abnormalities in the connectivity pattern can be used as a diagnostic tool to detect various neurological disorders. The present paper describes the ...
Adult Magnetic Resonance Imaging Brain Mapping Humans Electroencephalography Artificial Intelligence Neural Networks, Computer Motor Cortex Brain Aged
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A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task.

Journal of neuroscience methods Mar 7, 2022
BACKGROUND: Controlling the trajectory of a neuroprosthesis to reach distant targets is a commonly used brain-machine interface (BMI) task in primates and has not been available for rodents yet.
Neurons Brain-Computer Interfaces Movement Rats Robotics Robotic Surgical Procedures Motor Cortex Animals
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Impaired phase synchronization of motor-evoked potentials reflects the degree of motor dysfunction in the lesioned human brain.

Human brain mapping Feb 24, 2022
The functional corticospinal integrity (CSI) can be indexed by motor-evoked potentials (MEP) following transcranial magnetic stimulation of the motor cortex. Glial brain tumors in motor-eloquent areas are frequently disturbing CSI resulting in differ...
Brain Neoplasms Evoked Potentials, Motor Glioma Motor Cortex Anticonvulsants Humans Transcranial Magnetic Stimulation Brain
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Increasing motor cortex activation during grasping via novel robotic mirror hand therapy: a pilot fNIRS study.

Journal of neuroengineering and rehabilitation Jan 24, 2022
BACKGROUND: Mirror therapy (MT) has been used for functional recovery of the affected hand by providing the mirrored image of the unaffected hand movement, which induces neural activation of the cortical hemisphere contralateral to the affected hand....
Humans Robotics Movement Motor Cortex Feedback, Sensory Robotic Surgical Procedures Hand Functional Laterality
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Brain oscillatory correlates of visuomotor adaptive learning.

NeuroImage Oct 21, 2021
Sensorimotor adaptation involves the recalibration of the mapping between motor command and sensory feedback in response to movement errors. Although adaptation operates within individual movements on a trial-to-trial basis, it can also undergo learn...
Cortical Synchronization Adaptation, Physiological Motor Cortex Prefrontal Cortex Brain Mapping Electroencephalography Healthy Volunteers Psychomotor Performance Movement Female Machine Learning Adult Humans Learning Male
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Emerging of new bioartificial corticospinal motor synergies using a robotic additional thumb.

Scientific reports Sep 16, 2021
It is likely that when using an artificially augmented hand with six fingers, the natural five plus a robotic one, corticospinal motor synergies controlling grasping actions might be different. However, no direct neurophysiological evidence for this ...
Evoked Potentials, Motor Humans Robotics Motor Cortex Motor Neurons Adult Artificial Limbs Female Thumb Pyramidal Tracts Motor Skills Male Magnetic Resonance Imaging
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Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning.

Journal of neural engineering Feb 26, 2021
. Brain-machine interfaces (BMIs) seek to restore lost motor functions in individuals with neurological disorders by enabling them to control external devices directly with their thoughts. This work aims to improve robustness and decoding accuracy th...
Animals Deep Learning Brain-Computer Interfaces Motor Cortex Neural Networks, Computer Biomechanical Phenomena
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A stack LSTM structure for decoding continuous force from local field potential signal of primary motor cortex (M1).

BMC bioinformatics Jan 22, 2021
BACKGROUND: Brain Computer Interfaces (BCIs) translate the activity of the nervous system to a control signal which is interpretable for an external device. Using continuous motor BCIs, the user will be able to control a robotic arm or a disabled lim...
Motor Cortex Brain-Computer Interfaces Animals Movement Rats Neural Networks, Computer Least-Squares Analysis
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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...
Brain Mapping Robotics Evoked Potentials, Motor Sensitivity and Specificity Humans Male Female Motor Cortex Adult Transcranial Magnetic Stimulation
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