AIMC Topic: Electrocorticography

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Speech synthesis from ECoG using densely connected 3D convolutional neural networks.

Journal of neural engineering Mar 4, 2019
OBJECTIVE: Direct synthesis of speech from neural signals could provide a fast and natural way of communication to people with neurological diseases. Invasively-measured brain activity (electrocorticography; ECoG) supplies the necessary temporal and ...
Cerebral Cortex Photic Stimulation Electrocorticography Communication Devices for People with Disabilities Humans Neural Networks, Computer Speech
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Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate.

Computational intelligence and neuroscience Oct 18, 2018
Electrocorticogram (ECoG) is a well-known recording method for the less invasive brain machine interface (BMI). Our previous studies have succeeded in predicting muscle activities and arm trajectories from ECoG signals. Despite such successful studie...
Motor Activity Muscles Electrocorticography Neural Prostheses Arm Brain-Computer Interfaces Joints Macaca Brain Female Biomechanical Phenomena Animals Robotics Electromyography
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Modeling Neural Adaptation in Auditory Cortex.

Frontiers in neural circuits Sep 5, 2018
Neural responses recorded from auditory cortex exhibit adaptation, a stimulus-specific decrease that occurs when the same sound is presented repeatedly. Stimulus-specific adaptation is thought to facilitate perception in noisy environments. Although ...
Electrocorticography Acoustic Stimulation Auditory Cortex Evoked Potentials, Auditory Adaptation, Physiological Humans Neural Networks, Computer Male
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Decision Support System for Seizure Onset Zone Localization Based on Channel Ranking and High-Frequency EEG Activity.

IEEE journal of biomedical and health informatics Aug 30, 2018
Interictal high-frequency oscillations (HFO) are a promising biomarker that can help define the seizure onset zone (SOZ) and predict the surgical outcome after the epilepsy surgery. The utility of HFO in planning the surgery, though, is unclear. Reas...
ROC Curve Decision Support Systems, Clinical Support Vector Machine Epilepsy Seizures Signal Processing, Computer-Assisted Electrocorticography Young Adult Humans Adult Female Male Adolescent
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Slow wave detection in sleeping mice: Comparison of traditional and machine learning methods.

Journal of neuroscience methods Aug 17, 2018
BACKGROUND: During slow-wave sleep the electroencephalographic (EEG) and local field potential (LFP) recordings reveal the presence of large amplitude slow waves. Systematic extraction of individual slow waves is not trivial.
Mice Pattern Recognition, Automated Brain Waves Electrocorticography Humans Neural Networks, Computer Animals Sleep, Slow-Wave
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Encoding of Articulatory Kinematic Trajectories in Human Speech Sensorimotor Cortex.

Neuron May 17, 2018
When speaking, we dynamically coordinate movements of our jaw, tongue, lips, and larynx. To investigate the neural mechanisms underlying articulation, we used direct cortical recordings from human sensorimotor cortex while participants spoke natural ...
Adult Biomechanical Phenomena Middle Aged Speech Humans Neural Networks, Computer Female Electrocorticography Larynx Lip Jaw Models, Neurological Epilepsy Tongue Phonetics Sensorimotor Cortex
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Sub-millimeter ECoG pitch in human enables higher fidelity cognitive neural state estimation.

NeuroImage Apr 18, 2018
Electrocorticography (ECoG), electrophysiological recording from the pial surface of the brain, is a critical measurement technique for clinical neurophysiology, basic neurophysiology studies, and demonstrates great promise for the development of neu...
Image Processing, Computer-Assisted Models, Theoretical Cerebral Cortex Microelectrodes Electrocorticography Electrodes, Implanted Temporal Lobe Humans Machine Learning Language Adult
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Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.

Journal of neurophysiology Mar 7, 2018
The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathological activities in neocortical epilepsy. Ele...
Drug Resistant Epilepsy Electrocorticography Neocortex Female Adult Male Middle Aged Postoperative Complications Humans Adolescent Child Machine Learning Seizures
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Brain Mapping Predictive Value of Tests Electroencephalography Seizures Signal Processing, Computer-Assisted Automation False Negative Reactions Brain Reproducibility of Results Time Factors Support Vector Machine Humans Neural Networks, Computer Cloud Computing Electrocorticography False Positive Reactions Wavelet Analysis Brain Waves
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Decoding of finger trajectory from ECoG using deep learning.

Journal of neural engineering Nov 28, 2017
OBJECTIVE: Conventional decoding pipeline for brain-machine interfaces (BMIs) consists of chained different stages of feature extraction, time-frequency analysis and statistical learning models. Each of these stages uses a different algorithm trained...
Sensorimotor Cortex Fingers Movement Humans Photic Stimulation Deep Learning Electrocorticography Brain-Computer Interfaces
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