AIMC Topic: Drug Resistant Epilepsy
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How can the accuracy of SEEG be increased?-an analysis of the accuracy of multilobe-spanning SEEG electrodes based on a frameless stereotactic robot-assisted system.
Annals of palliative medicine
Mar 10, 2021
BACKGROUND: A frameless stereotactic robot-assisted system allows stereoelectroencephalography (SEEG) electrodes to span multiple lobes. As the angularity and length are increased, maintaining accuracy of the electrodes becomes more challenging. The ...
External validation of automated focal cortical dysplasia detection using morphometric analysis.
Epilepsia
Feb 27, 2021
OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of drug-resistant focal epilepsy but frequently remain undetected by conventional magnetic resonance imaging (MRI) assessment. The visual detection can be facilitated by morphometric anal...
Preictal state detection using prodromal symptoms: A machine learning approach.
Epilepsia
Jan 19, 2021
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML...
Attention
Video Recording
Tinnitus
Affect
Comprehension
Noise
Area Under Curve
Electroencephalography
Seizures
Hearing Loss
Reading
Drug Resistant Epilepsy
Prodromal Symptoms
Photophobia
Machine Learning
Female
Young Adult
Adult
Male
Middle Aged
Speech
Surveys and Questionnaires
Support Vector Machine
Vision Disorders
Humans
Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging.
World neurosurgery
Jan 6, 2021
OBJECTIVE: This study aims to evaluate the performance of convolutional neural networks (CNNs) trained with resting-state functional magnetic resonance imaging (rfMRI) latency data in the classification of patients with pediatric epilepsy from health...
Structural Brain Network Abnormalities and the Probability of Seizure Recurrence After Epilepsy Surgery.
Neurology
Dec 22, 2020
OBJECTIVE: We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical seizure recurrences.
Diffusion Magnetic Resonance Imaging
Case-Control Studies
Anterior Temporal Lobectomy
Treatment Outcome
Support Vector Machine
Magnetic Resonance Imaging
Brain
Preoperative Period
Postoperative Period
Humans
Female
Neural Pathways
Machine Learning
Adult
Epilepsy, Temporal Lobe
Male
Recurrence
Middle Aged
Drug Resistant Epilepsy
Robot-assisted versus stereotactic frame-based stereoelectroencephalography in medically refractory epilepsy.
Neurophysiologie clinique = Clinical neurophysiology
Dec 4, 2020
AIM: To explore the difference between robot assisted (RA) and stereotactic frame based (SF) stereoelectroencephalography (SEEG) in patients with medically refractory epilepsy.
Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.
Annals of neurology
Sep 10, 2020
OBJECTIVE: Medial temporal lobe epilepsy (TLE) is the most common form of medication-resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than one-third of patients continue to have disabling seizures postoperativel...
Somatosensory evoked fields predict response to vagus nerve stimulation.
NeuroImage. Clinical
Feb 4, 2020
There is an unmet need to develop robust predictive algorithms to preoperatively identify pediatric epilepsy patients who will respond to vagus nerve stimulation (VNS). Given the similarity in the neural circuitry between vagus and median nerve affer...
Robot-assisted versus manual navigated stereoelectroencephalography in adult medically-refractory epilepsy patients.
Epilepsy research
Dec 9, 2019
OBJECTIVE: Stereoelectroencephalography (SEEG) has experienced a recent growth in adoption for epileptogenic zone (EZ) localization. Advances in robotics have the potential to improve the efficiency and safety of this intracranial seizure monitoring ...
Automated detection of hippocampal sclerosis using clinically empirical and radiomics features.
Epilepsia
Nov 25, 2019
OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. However, magnetic resonance imaging (MRI)-negative hippocampal sclerosis (HS) can hamper early diagnosis and surgical intervention for patients in clini...
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