AIMC Topic: Epilepsy, Temporal Lobe
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Neurovascular multiparametric MRI defines epileptogenic and seizure propagation regions in experimental mesiotemporal lobe epilepsy.
Epilepsia
Apr 5, 2021
OBJECTIVE: Improving the identification of the epileptogenic zone and associated seizure-spreading regions represents a significant challenge. Innovative brain-imaging modalities tracking neurovascular dynamics during seizures may provide new disease...
A deep learning framework for F-FDG PET imaging diagnosis in pediatric patients with temporal lobe epilepsy.
European journal of nuclear medicine and molecular imaging
Jan 9, 2021
PURPOSE: Epilepsy is one of the most disabling neurological disorders, which affects all age groups and often results in severe consequences. Since misdiagnoses are common, many pediatric patients fail to receive the correct treatment. Recently, F-fl...
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.
Female
Adult
Male
Middle Aged
Humans
Machine Learning
Brain
Recurrence
Drug Resistant Epilepsy
Diffusion Magnetic Resonance Imaging
Anterior Temporal Lobectomy
Case-Control Studies
Treatment Outcome
Support Vector Machine
Magnetic Resonance Imaging
Postoperative Period
Preoperative Period
Neural Pathways
Epilepsy, Temporal Lobe
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...
Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Nov 11, 2019
OBJECTIVE: Develop a high-performing algorithm to detect mesial temporal lobe (mTL) epileptiform discharges on intracranial electrode recordings.
Machine learning identifies "rsfMRI epilepsy networks" in temporal lobe epilepsy.
European radiology
Feb 8, 2019
OBJECTIVES: Experimental models have provided compelling evidence for the existence of neural networks in temporal lobe epilepsy (TLE). To identify and validate the possible existence of resting-state "epilepsy networks," we used machine learning met...
A hierarchical multimodal system for motion analysis in patients with epilepsy.
Epilepsy & behavior : E&B
Aug 31, 2018
During seizures, a myriad of clinical manifestations may occur. The analysis of these signs, known as seizure semiology, gives clues to the underlying cerebral networks involved. When patients with drug-resistant epilepsy are monitored to assess thei...
Global temporal lobe asymmetry as a semi-quantitative imaging biomarker for temporal lobe epilepsy lateralization: A machine learning classification study.
Hellenic journal of nuclear medicine
Jul 12, 2018
OBJECTIVE: The purpose of this study was to evaluate the utility of global semi-quantitative analysis via fluorine-18-flurodeoxyglucose positron emission tomography (F-FDG PET) at lateralizing seizure foci and diagnosing patients with unilateral temp...
Machine learning detects EEG microstate alterations in patients living with temporal lobe epilepsy.
Seizure
Jul 10, 2018
PURPOSE: Quasi-stable electrical distribution in EEG called microstates could carry useful information on the dynamics of large scale brain networks. Using machine learning techniques we explored if abnormalities in microstates can identify patients ...
Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.
NeuroImage
Oct 31, 2017
OBJECTIVE: Focal cortical dysplasias (FCDs) often cause pharmacoresistant epilepsy, and surgical resection can lead to seizure-freedom. Magnetic resonance imaging (MRI) and positron emission tomography (PET) play complementary roles in FCD identifica...
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