A Mesiotemporal Lobe Epilepsy Mouse Model.

Neurochem Res

SynapCell SAS, Bâtiment Biopolis, 5 Avenue du Grand Sablon, 38700, La Tronche, France.

Published: July 2017

Among the different forms of epilepsies, mesiotemporal lobe epilepsy (MTLE) is one of the most common and represents the main pharmaco-resistant form of epilepsy. There is therefore an urgent need to better understand this form of epilepsy to develop better anti-epileptic drugs. Many rodent models are mimicking some aspects of the human temporal lobe epilepsy but only few are addressing most of the human mesiotemporal lobe epilepsy. In this article, we describe the main characteristics of a mouse of model of mesial temporal lobe epilepsy. This model is generated by a single injection of kainic acid into the dorsal hippocampus which reproduces most of the morphological and electrophysiological features of human MTLE in a mouse. This model may help to better understand mesial temporal lobe epilepsy and the development of new therapeutic drugs.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11064-017-2239-3DOI Listing

Publication Analysis

Top Keywords

lobe epilepsy
24
mesiotemporal lobe
12
mouse model
12
temporal lobe
12
epilepsy
8
form epilepsy
8
better understand
8
mesial temporal
8
lobe
5
epilepsy mouse
4

Similar Publications

Objective: The pulvinar nucleus of the thalamus has extensive cortical connections with the temporal, parietal, and occipital lobes. Deep brain stimulation (DBS) targeting the pulvinar nucleus, therefore, carries the potential for therapeutic benefit in patients with drug-resistant posterior quadrant epilepsy (PQE) and neocortical temporal lobe epilepsy (TLE). Here, we present a single-center experience of patients managed via bilateral DBS of the pulvinar nucleus.

View Article and Find Full Text PDF

Background: Temporal lobe epilepsy (TLE) can lead to structural brain abnormalities, with thalamus atrophy being the most common extratemporal alteration. This study used probabilistic tractography to investigate the structural connectivity between individual thalamic nuclei and the hippocampus in TLE.

Methods: Thirty-six TLE patients who underwent pre-surgical 3 Tesla magnetic resonance imaging (MRI) and 18 healthy controls were enrolled in this study.

View Article and Find Full Text PDF

: About 65 million people worldwide are affected by epilepsy, with temporal lobe epilepsy being the most common type resistant to drugs and often requiring surgical treatment. Although open surgical approaches, such as temporal lobectomy, have been the method of choice for decades, minimally invasive MRgLITT has demonstrated promising results. However, it remains unknown whether patients who underwent one of these two approaches would show better performance on vestibulo-spatial tasks.

View Article and Find Full Text PDF

Generation of high-resolution MPRAGE-like images from 3D head MRI localizer (AutoAlign Head) images using a deep learning-based model.

Jpn J Radiol

January 2025

Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.

Purpose: Magnetization prepared rapid gradient echo (MPRAGE) is a useful three-dimensional (3D) T1-weighted sequence, but is not a priority in routine brain examinations. We hypothesized that converting 3D MRI localizer (AutoAlign Head) images to MPRAGE-like images with deep learning (DL) would be beneficial for diagnosing and researching dementia and neurodegenerative diseases. We aimed to establish and evaluate a DL-based model for generating MPRAGE-like images from MRI localizers.

View Article and Find Full Text PDF

Fusion of FDG and FMZ PET Reduces False Positive in Predicting Epileptogenic Zone.

AJNR Am J Neuroradiol

January 2025

From the School of Biomedical Engineering (B.C., H.H., J.L., S.Y., Y.C., J.L.), Shanghai Jiao Tong University, Shanghai, China; Department of Neurosurgery (S.J., J.H., L.C.), and PET Center (W.B.), Huashan Hospital, Fudan University, Shanghai, China.

Background And Purpose: Epilepsy, a globally prevalent neurological disorder, necessitates precise identification of the epileptogenic zone (EZ) for effective surgical management. While the individual utilities of FDG PET and FMZ PET have been demonstrated, their combined efficacy in localizing the epileptogenic zone remains underexplored. We aim to improve the non-invasive prediction of epileptogenic zone (EZ) in temporal lobe epilepsy (TLE) by combining FDG PET and FMZ PET with statistical feature extraction and machine learning.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!