AIMC Topic: Motor Cortex

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Structural characterization of the Extended Frontal Aslant Tract trajectory: A ML-validated laterality study in 3T and 7T.

NeuroImage Aug 13, 2020
The Extended Frontal Aslant Tract (exFAT) is a recently described tractography-based extension of the Frontal Aslant Tract connecting Broca's territory to both supplementary and pre-supplementary motor areas, and more anterior prefrontal regions. In ...
Humans Machine Learning Female Adult Neural Pathways Male Functional Laterality Diffusion Tensor Imaging White Matter Motor Cortex Connectome
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Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network.

Computational and mathematical methods in medicine Jul 20, 2020
EEG pattern recognition is an important part of motor imagery- (MI-) based brain computer interface (BCI) system. Traditional EEG pattern recognition algorithm usually includes two steps, namely, feature extraction and feature classification. In feat...
Mathematical Concepts Humans Imagination Neural Networks, Computer Algorithms Pattern Recognition, Automated Databases, Factual Brain-Computer Interfaces Motor Cortex Deep Learning Models, Neurological Electroencephalography
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BCI training to move a virtual hand reduces phantom limb pain: A randomized crossover trial.

Neurology Jul 16, 2020
OBJECTIVE: To determine whether training with a brain-computer interface (BCI) to control an image of a phantom hand, which moves based on cortical currents estimated from magnetoencephalographic signals, reduces phantom limb pain.
Imagination Magnetoencephalography Phantom Limb Middle Aged Robotics Hand Movement Motor Cortex Cross-Over Studies Brain-Computer Interfaces Aged Adult Male Humans
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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 ...
Evoked Potentials, Motor Motor Cortex Transcranial Magnetic Stimulation Magnetic Resonance Imaging Chronic Disease Stroke Upper Extremity Stroke Rehabilitation Female Middle Aged Neural Networks, Computer Exercise Therapy Aged Machine Learning Severity of Illness Index Outcome Assessment, Health Care Male Humans Support Vector Machine
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fNIRS-GANs: data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy.

Journal of neural engineering Feb 19, 2020
OBJECTIVE: Functional near-infrared spectroscopy (fNIRS) is expected to be applied to brain-computer interface (BCI) technologies. Since lengthy fNIRS measurements are uncomfortable for participants, it is difficult to obtain enough data to train cla...
Humans Neural Networks, Computer Female Spectroscopy, Near-Infrared Support Vector Machine Psychomotor Performance Brain-Computer Interfaces Young Adult Adult Male Movement Motor Cortex
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A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
A system that can detect the intention to move and decode the planned movement could help all those subjects that can plan motion but are unable to implement it. In this paper, motor planning activity is investigated by using electroencephalographic ...
Humans Models, Neurological Reaction Time Upper Extremity Adult Brain-Computer Interfaces Motor Cortex Deep Learning Brain Waves Movement
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Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach.

Neural networks : the official journal of the International Neural Network Society Jan 25, 2020
The conventional multivariate Granger Analysis (GA) of directed interactions has been widely applied in brain network construction based on EEG recordings as well as fMRI. Nevertheless, EEG is usually inevitably contaminated by strong noise, which ma...
Female Male Electroencephalography Motor Cortex Humans Neural Networks, Computer
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Deep Learning Neural Encoders for Motor Cortex.

IEEE transactions on bio-medical engineering Nov 25, 2019
Intracortical brain-machine interfaces (BMIs) transform neural activity into control signals to drive a prosthesis or communication device, such as a robotic arm or computer cursor. To be clinically viable, BMI decoders must achieve high accuracy and...
Algorithms Humans Animals Brain-Computer Interfaces Deep Learning Macaca mulatta Motor Cortex
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Reducing variability in motor cortex activity at a resting state by extracellular GABA for reliable perceptual decision-making.

Journal of computational neuroscience Nov 13, 2019
Interaction between sensory and motor cortices is crucial for perceptual decision-making, in which intracortical inhibition might have an important role. We simulated a neural network model consisting of a sensory network (N) and a motor network (N) ...
Neurons gamma-Aminobutyric Acid Synaptic Transmission Humans Neural Networks, Computer Models, Neurological Motor Cortex Decision Making Neural Inhibition Pyramidal Cells
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Considerations in using recurrent neural networks to probe neural dynamics.

Journal of neurophysiology Oct 16, 2019
Recurrent neural networks (RNNs) are increasingly being used to model complex cognitive and motor tasks performed by behaving animals. RNNs are trained to reproduce animal behavior while also capturing key statistics of empirically recorded neural ac...
Motor Activity Motor Cortex Neural Networks, Computer Animals Behavior, Animal
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