AIMC Topic: Drug Resistant Epilepsy

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Connectomic Profiling Identifies Responders to Vagus Nerve Stimulation.

Annals of neurology Aug 27, 2019
OBJECTIVE: Vagus nerve stimulation (VNS) is a common treatment for medically intractable epilepsy, but response rates are highly variable, with no preoperative means of identifying good candidates. This study aimed to predict VNS response using struc...
Female Male Adolescent Child, Preschool Child Humans Connectome Diffusion Tensor Imaging Drug Resistant Epilepsy Magnetoencephalography Vagus Nerve Stimulation Treatment Outcome Support Vector Machine Patient Selection Image Interpretation, Computer-Assisted
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Automated detection of sudden unexpected death in epilepsy risk factors in electronic medical records using natural language processing.

Epilepsia May 21, 2019
OBJECTIVE: Sudden unexpected death in epilepsy (SUDEP) is an important cause of mortality in epilepsy. However, there is a gap in how often providers counsel patients about SUDEP. One potential solution is to electronically prompt clinicians to provi...
Death, Sudden Epilepsy, Tonic-Clonic Sudden Unexpected Death in Epilepsy Electronic Health Records Risk Factors Humans Natural Language Processing Sensitivity and Specificity Algorithms Data Interpretation, Statistical Cross-Sectional Studies Retrospective Studies Epilepsy Neurosurgery Drug Resistant Epilepsy
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Humans Brain Retrospective Studies Imaging, Three-Dimensional Magnetic Resonance Imaging Robotics Electroencephalography Brain Waves Female Male Child, Preschool Child Neuronavigation Tomography Scanners, X-Ray Computed Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Optical Devices
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Frameless robot-assisted stereoelectroencephalography for refractory epilepsy in pediatric patients: accuracy, usefulness, and technical issues.

Acta neurochirurgica Nov 9, 2018
BACKGROUND: Stereoelectroencephalography (SEEG) is an effective technique to help to locate and to delimit the epileptogenic area and/or to define relationships with functional cortical areas. We intend to describe the surgical technique and verify t...
Drug Resistant Epilepsy Electrodes, Implanted Child, Preschool Child Robotics Electroencephalography Stereotaxic Techniques Female Male Postoperative Complications Adolescent Humans Clinical Decision-Making
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Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data.

Epilepsy & behavior : E&B Nov 7, 2018
Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their referral to specialist care is frequently delayed. The ability to identify patients at high risk of DRE at the time of treatment initiation, and to sub...
Drug Resistant Epilepsy Insurance Claim Reporting ROC Curve Regression Analysis Anticonvulsants Feasibility Studies Humans Machine Learning Algorithms Female Adult Male Middle Aged
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Seizure forecasting using single robust linear feature as correlation vector of seizure-like events in brain slices preparation in vitro.

Neurological research Oct 17, 2018
Epilepsy is a neurological disorder affecting 50 million individuals globally. Modern research has inspected the likelihood of forecasting epileptic seizures. Algorithmic investigations are giving promising results for seizure prediction. Though most...
Support Vector Machine Disease Models, Animal Electroencephalography Epilepsy Seizures Cerebral Cortex Humans Drug Resistant Epilepsy Forecasting Animals Rats
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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...
Humans Machine Learning Female Adult Male Middle Aged Postoperative Complications Adolescent Neocortex Child Seizures Drug Resistant Epilepsy Electrocorticography
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Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.

eNeuro Mar 8, 2017
Human epilepsy patients suffer from spontaneous seizures, which originate in brain regions that also subserve normal function. Prior studies demonstrate focal, neocortical epilepsy is associated with dysfunction, several hours before seizures. How do...
Neocortex Seizures Datasets as Topic Drug Resistant Epilepsy Humans Electrocorticography Cluster Analysis Female Electrodes, Implanted Models, Neurological Male Unsupervised Machine Learning Time Factors Brain Mapping
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Probabilistic machine learning for the evaluation of presurgical language dominance.

Journal of neurosurgery Jan 1, 2016
OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be performed prior to neurosurgery in patients with epilepsy. Over the last decade, functional MRI (fMRI) has emerged as a useful noninvasive tool for langua...
Young Adult Adult Male Middle Aged Adolescent Humans Child Machine Learning Drug Resistant Epilepsy Magnetic Resonance Imaging Language Functional Laterality Female Preoperative Care
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Decoding intracranial EEG data with multiple kernel learning method.

Journal of neuroscience methods Dec 12, 2015
BACKGROUND: Machine learning models have been successfully applied to neuroimaging data to make predictions about behavioral and cognitive states of interest. While these multivariate methods have greatly advanced the field of neuroimaging, their app...
Pattern Recognition, Automated Humans Memory, Episodic Rest Machine Learning Signal Processing, Computer-Assisted Drug Resistant Epilepsy Neuropsychological Tests Brain Feasibility Studies Electrocorticography Judgment Self Concept Datasets as Topic Mathematical Concepts Semantics Pattern Recognition, Visual
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