TY - JOUR
T1 - Experimental models of epilepsy
T2 - A comprehensive review of mechanisms, translational relevance, and future directions
AU - Jiji, P. J.
AU - Rai, Rajalakshmi
AU - Kumar, Nayanatara Arun
AU - Blossom, Vandana
AU - Pai, Mangala M.
AU - Rai, Ashwin R.
AU - Vadgaonkar, Rajanigandha
AU - Dhanya Nayak, S.
N1 - Publisher Copyright:
© Jiji, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
PY - 2025/10
Y1 - 2025/10
N2 - Epilepsy is a chronic neurological disorder characterized by recurrent seizures, affecting millions worldwide. Experimental models play a crucial role in understanding the pathophysiology of seizures and in developing novel antiepileptic therapies. This review summarizes the major experimental models of epilepsy, including chemically induced, electrically induced, and genetic approaches. The strengths, limitations, and translational relevance of each model are discussed with particular emphasis on their applicability to human epilepsy subtypes, such as generalized tonic-clonic and temporal lobe epilepsy. Advances in neuroimaging, omics technologies, and artificial intelligence-based analytics are highlighted for their potential to enhance model accuracy and predictive validity. Ethical considerations, including the principles of replacement, reduction, and refinement, are also emphasized. By integrating classical models with emerging technologies, this review provides a comprehensive framework to guide future research aimed at improving therapeutic strategies and bridging the gap between pre-clinical and clinical epilepsy research.
AB - Epilepsy is a chronic neurological disorder characterized by recurrent seizures, affecting millions worldwide. Experimental models play a crucial role in understanding the pathophysiology of seizures and in developing novel antiepileptic therapies. This review summarizes the major experimental models of epilepsy, including chemically induced, electrically induced, and genetic approaches. The strengths, limitations, and translational relevance of each model are discussed with particular emphasis on their applicability to human epilepsy subtypes, such as generalized tonic-clonic and temporal lobe epilepsy. Advances in neuroimaging, omics technologies, and artificial intelligence-based analytics are highlighted for their potential to enhance model accuracy and predictive validity. Ethical considerations, including the principles of replacement, reduction, and refinement, are also emphasized. By integrating classical models with emerging technologies, this review provides a comprehensive framework to guide future research aimed at improving therapeutic strategies and bridging the gap between pre-clinical and clinical epilepsy research.
UR - https://www.scopus.com/pages/publications/105018945602
UR - https://www.scopus.com/inward/citedby.url?scp=105018945602&partnerID=8YFLogxK
U2 - 10.14202/vetworld.2025.3041-3050
DO - 10.14202/vetworld.2025.3041-3050
M3 - Review article
AN - SCOPUS:105018945602
SN - 0972-8988
VL - 18
SP - 3041
EP - 3050
JO - Veterinary World
JF - Veterinary World
IS - 10
ER -