AIMC Topic: Electrocorticography

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Deployment of an electrocorticography system with a soft robotic actuator.

Science robotics May 10, 2023
Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery and increasingly explored in brain-machine interface applications. Current devic...
Robotics Brain-Computer Interfaces Swine, Miniature Electrocorticography Brain Animals Swine
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Multi-Scale Deep Learning of Clinically Acquired Multi-Modal MRI Improves the Localization of Seizure Onset Zone in Children With Drug-Resistant Epilepsy.

IEEE journal of biomedical and health informatics Nov 10, 2022
The present study investigates the effectiveness of a deep learning neural network for non-invasively localizing the seizure onset zone (SOZ) using multi-modal MRI data that are clinically acquired from children with drug-resistant epilepsy. A cortic...
Epilepsy Seizures Drug Resistant Epilepsy Electrocorticography Child Magnetic Resonance Imaging Electroencephalography Brain Deep Learning Humans
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An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 10, 2022
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A d...
Humans Brain-Computer Interfaces Electrocorticography Brain Deep Learning Speech
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Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.

eLife Jun 29, 2022
Sleep is generally considered to be a state of large-scale synchrony across thalamus and neocortex; however, recent work has challenged this idea by reporting isolated sleep rhythms such as slow oscillations and spindles. What is the spatial scale of...
Electroencephalography Sleep Memory Animals Electrocorticography Deep Learning
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Decoding ECoG signal into 3D hand translation using deep learning.

Journal of neural engineering Mar 31, 2022
Motor brain-computer interfaces (BCIs) are a promising technology that may enable motor-impaired people to interact with their environment. BCIs would potentially compensate for arm and hand function loss, which is the top priority for individuals wi...
Humans Deep Learning Electrocorticography Electroencephalography Hand Brain-Computer Interfaces
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Interpreting wide-band neural activity using convolutional neural networks.

eLife Aug 2, 2021
Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires considerable knowledge about the nature of the repres...
Movement Electrocorticography Spatial Behavior Fingers Acoustic Stimulation Auditory Cortex Neural Networks, Computer Animals Male Rats Hippocampus Deep Learning Mice Humans
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Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG.

Neural plasticity Apr 27, 2021
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a critical role in successful surgical therapy of resection of the epileptogenic lesion. However, manual analysis and classification of the iEEG signal by clinic...
Fourier Analysis Electrocorticography Humans Deep Learning Epilepsy Databases, Factual Automation Reproducibility of Results Neural Networks, Computer Algorithms
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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Research Support as Topic Big Data Wearable Electronic Devices Smartphone Electrocorticography Societies, Medical Electronic Health Records Common Data Elements Biomedical Research Deep Learning Neuroimaging Telemedicine Genomics Computer Security Advisory Committees Information Dissemination Humans Epilepsy Stakeholder Participation Biological Ontologies Brain Confidentiality
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Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Machine Learning Reproducibility of Results Rats Disease Models, Animal Animals Kainic Acid ROC Curve Excitatory Amino Acid Agonists Area Under Curve Epilepsies, Partial Electroencephalography Electrocorticography Seizures Signal Processing, Computer-Assisted Linear Models
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.

International journal of neural systems Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Cerebral Cortex Equipment Design Visual Prosthesis Humans Software Design Image Interpretation, Computer-Assisted Blindness Deep Learning Retinal Ganglion Cells Electrocorticography Models, Theoretical
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