Generic placeholder image

Current Drug Targets

Editor-in-Chief

ISSN (Print): 1389-4501
ISSN (Online): 1873-5592

In Vivo MRI in Different Models of Experimental Epilepsy

Author(s): P. F. Fabene and A. Sbarbati

Volume 5, Issue 7, 2004

Page: [629 - 636] Pages: 8

DOI: 10.2174/1389450043345218

Price: $65

Open Access Journals Promotions 2
Abstract

In order to investigate epilepsy, that is one of the most common neurological disorders, in the last decades different animal models have been proposed. Prevention, diagnosis, treatment and basic knowledge have been improved by the mean of these models. Numerous animal models have been developed in epilepsy research, both for generalized and for simple / complex partial seizures. Animal models for generalized seizures include sensory (light, noise, movement, etc) or electrical stimulations and genetic models. Models for focal seizures include topical or systemic application of pro-convulsive compounds or electrical stimulation. Baboons, mice, rats, rabbits, and Fayoumi chicken have been extensively used in this regard. Since 1983, when magnetic resonance spectroscopy was used to evaluate for the first time in vivo alterations induced by status epilepticus in rabbit, an increasing interest for the neuroimaging perspective has led to new insights in the study of epileptic disorders. In the early 1990s experimental studies provided evidence for the feasibility of magnetic resonance imaging analysis and detection of tissue damage in kainic acid-induced epilepsy in rat. In the following years a wealth of data has been obtained by the mean of functional MRI and / or by diffusion-weighted images. The studies reported in the literature of the last decades indicate in vivo magnetic resonance of epilepsy model as valuable and extremely informative tool.

Keywords: seizures, diffusion-weighted images, perfusion-weighted images, t1-w images, t2-w images, fmri, diffusion tensor-mri, simple partial seizures, complex partial seizures, generalized seizures


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy