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. 2025 Nov 18;46(6):1588–1614. doi: 10.24272/j.issn.2095-8137.2025.280

Diverse species of animal models in epilepsy research: Progress and perspectives

Wang-Jia-Lu Lu 1, Jing Xi 1, Zhi-Sheng Li 1, Fan Fei 2, Jun-Zi Chen 2,*, Yi Wang 1,2,3,*
PMCID: PMC12950520  PMID: 41320877

Abstract

Epilepsy, a prevalent neurological disorder, is characterized by recurrent, self-sustained seizures resulting from abnormal neuronal hyperexcitability. Epilepsy encompasses a wide spectrum of etiologies, pathophysiological mechanisms, and treatment responses, resulting in considerable phenotypic heterogeneity. Over the past few decades, animal models, ranging from simple organisms to complex species, have played a pivotal role in elucidating the cellular, molecular, and circuit mechanisms underlying seizure generation and propagation, while also facilitating the development of antiseizure medication and other therapeutic interventions. This review first outlines the mechanistic basis of epilepsy and systematically summarizes existing seizure and epilepsy models across diverse taxa, including zebrafish, rodents, and non-human primates (NHPs), with a focus on model-specific features, translational relevance, and therapeutic utility. Despite substantial progress, limitations persist in recapitulating the full complexity of human epilepsy. Recent advances in genetic engineering, neuromodulation technology, and brain organoids are refining model fidelity and enhancing alignment with precision medicine approaches. Cross-species integration offers a promising avenue for bridging preclinical findings with clinical application, advancing mechanistic insight, and the development of targeted therapies.

Keywords: Epilepsy, Seizure, Animal model, Cross-species, Antiseizure medication, Precision medicine

INTRODUCTION

Epilepsy constitutes a major neurological disorder affecting over 70 million individuals globally (GBD 2021 Nervous System Disorders Collaborators, 2024). Defined as recurrent, self-sustaining paroxysmal disruptions of brain activity, epilepsy arises from aberrant neuronal discharge and manifests with a variety of symptoms contingent on the affected cerebral regions. Seizures are frequently accompanied by electroencephalographic (EEG) abnormalities and structural neuropathology. In adult populations, seizure onset is predominantly associated with structural changes in the brain, including traumatic injury, cerebrovascular insult, or hippocampal sclerosis. In contrast, congenital genetic epilepsy syndromes account for a larger proportion of cases in pediatric cohorts (Thijs et al., 2019; Walsh et al., 2017). More than half of all diagnosed cases now exhibit identifiable genetic causes, reflecting rapid progress in genomic medicine (Striano & Minassian, 2020). Parallel advancements in neuroimaging and electrophysiological diagnostics have enabled the reclassification of formerly “cryptogenic” seizures by uncovering previously undetected etiologies, while surgical techniques continue to evolve (Bernasconi et al., 2011; Frauscher et al., 2024; Wiest & Beisteiner, 2019).

Despite significant progress and development of novel antiepileptic compounds and noninvasive treatment modalities, therapeutic resistance remains a persistent challenge, particularly among those with drug-resistant epilepsy (Klein et al., 2024; Löscher et al., 2020). This treatment gap imposes a substantial burden on patients and public healthcare systems due to long-term care costs and diminished quality of life (Begley et al., 2022). Animal models have long served as an indispensable platform for elucidating epileptogenic mechanisms and testing candidate therapies. Ranging from simple organisms to complex species, these models have been instrumental in investigating the underlying mechanisms of epilepsy and in the development of potential treatments (Grone & Baraban, 2015; Löscher, 2017).

This review provides an overview of current mechanism knowledge on epilepsy and systematically evaluates a broad range of animal models employed in epilepsy research, with an emphasis on their defining features, experimental utility, and translational value. In contrast to earlier reviews limited to rodents or specific model categories, this work adopts a cross-species framework to capture the full diversity of experimental systems and to identify critical gaps in model development. Literature selection followed a systematic search strategy using PubMed, ScienceDirect, and Web of Science, prioritizing peer-reviewed, recent, high-impact studies published in recent years. Relevant publications were categorized by species, model type, and translational relevance to human epilepsy. Extensive cross-referencing was applied to ensure comprehensive coverage and to support an integrative, evidence-based analysis.

PATHOPHYSIOLOGY OF EPILEPSY

Epilepsy arises from disruption in the delicate balance between excitatory and inhibitory signaling within neuronal circuits. Perturbations in this balance, triggered by genetic mutations, traumatic insult, hypoxic injury, ischemia, infection, or chronic neuroinflammation, can initiate and sustain the pathophysiological cascade leading to seizure susceptibility. This excitation-inhibition disequilibrium is closely related to dysregulated neuronal ion channel activity, aberrant synaptic transmission, and altered glial cell function, all of which converge to promote neuronal hyperexcitability and network instability (Figure 1). The following section outlines key molecular and cellular contributors to epilepsy, with an emphasis on the role of pathogenic gene variants, providing a mechanistic foundation for the comparative evaluation of animal models presented in subsequent sections. For a more detailed discussion of molecular pathways and emerging mechanistic insights, additional comprehensive reviews are cited.

Figure 1.

Figure 1

Pathophysiological mechanisms underlying epilepsy, including dysregulation of ion channels, synaptic transmission, and glial cell function

Schematic illustrating three key contributors to epilepsy: Ion channels, synaptic transmission, and glial cells. Ion channels: Representative Na+, K+, and Ca2+ channels are shown; their dysfunction promotes neuronal hyperexcitability. Synaptic transmission: Excitatory glutamatergic synapses activate postsynaptic NMDA and AMPA/KA receptors, while inhibitory GABAergic synapses activate GABA receptors. Imbalance between excitatory and inhibitory signaling is closely linked to seizure activity. NMDAR: N-methyl-D-aspartate receptor; AMPAR: α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor; KAR: Kainate receptor; GABA: γ-aminobutyric acid; GAD: Glutamic acid decarboxylase; GAT1: γ-aminobutyric acid transporter 1. Glial cells: Astrocytes regulate neuronal homeostasis by maintaining glutamate, potassium, and water balance. Microglial activation produces proinflammatory factors, resulting in neuronal damage. EAAT1/2: Excitatory amino acid transporters 1/2; AQP4: Aquaporin 4; TCA: Tricarboxylic acid cycle; BBB: Blood-brain barrier; ROS: Reactive oxygen species.

Ion channel mechanisms

Ion channels serve as critical regulators of neuronal excitability and synaptic transmission, maintaining the electrical stability of brain networks. Dysfunction of ion channels, particularly within voltage-gated sodium, potassium, and calcium channels, represents a central mechanism in the pathogenesis of epilepsy (Chen et al., 2022; Lerche et al., 2013; Oyrer et al., 2018).

Sodium channels

Voltage-gated sodium channels (VGSCs) are essential for the generation and propagation of neuronal action potentials by mediating rapid sodium influx during depolarization (Pal et al., 2021; Watanabe, 2022). Mutations in genes encoding sodium channel subunits (e.g., SCN1A, SCN2A, SCN8A, SCN1B), which can lead to abnormal sodium channel function and persistent overexcitation of neurons, are among the most frequent genetic causes of epilepsy (Barker-Haliski & Steve White, 2020; Brunklaus et al., 2022). SCN1A encodes the α-subunit Nav1.1, which is predominantly expressed in inhibitory GABAergic neurons. Loss-of-function mutations in SCN1A reduce inhibitory tone, precipitating hyperexcitability and clinical phenotypes such as Dravet syndrome and genetic epilepsy with febrile seizures plus (GEFS+) (Steinlein, 2014; Wengert & Patel, 2021). SCN2A, which encodes Nav1.2 in glutamatergic neurons, modulates depolarization-driven activation followed by rapid inactivation. Mutations impairing fast inactivation of Nav1.2 are linked to a spectrum of developmental epileptic encephalopathies (DEE) (Berecki et al., 2025).

Potassium channels

Potassium channels regulate resting membrane potential, repolarization of action potentials, and neurotransmitter release, exerting broad influence over neuronal excitability (Maljevic & Lerche, 2013). With approximately 80 subtypes, this channel family contributes to various processes, including subthreshold regulation, spike repolarization, and afterhyperpolarization dynamics. Approximately 10% of potassium channel genes have been implicated in epilepsy-related disorders and syndromes (Köhling & Wolfart, 2016). Variants in genes, such as KCNQ2, KCNQ3, KCNA1, KCNA2, KCNB1, KCNC1, KCND1, and KCNT1, have been associated with diverse epileptic syndromes (Weston & Tzingounis, 2024). Notably, KCNQ2 (Kv7.2) and KCNQ3 (Kv7.3) mediate a slow noninactivating K+ current known as M-current, which regulates subthreshold excitability and constrains repetitive neuronal firing. Mutations in both KCNQ2 and KCNQ3 can cause benign familial neonatal seizures (BFNS), a self-limited form of early-onset epilepsy (Perucca & Taglialatela, 2025).

Calcium channels

Calcium channels, widely distributed throughout the central nervous system (CNS), regulate calcium influx into neurons and are essential for neurotransmitter release, synaptic plasticity, synchronous neuronal firing, and paroxysmal depolarization drift (Nanou & Catterall, 2018; Simms & Zamponi, 2014). Among the most relevant to epilepsy are low-voltage activated T-type calcium channels—encoded by CACNA1G (Ca3.1), CACNA1H (Ca3.2), and CACNA1I (Ca3.3)—and high-voltage activated P/Q-type channels encoded by CACNA1A (CaV2.1). The CaV2.1 subtype, located predominantly at presynaptic regions, mediates vesicular exocytosis in response to calcium entry, thereby influencing neuronal excitability (Lauerer & Lerche, 2024; Powell et al., 2014). Mutations in CACNA1A generate aberrant rhythmic activity within the thalamocortical loop, producing spike-and-wave discharges characteristic of absence seizures (Rajakulendran & Hanna, 2016).

Synaptic transmission mechanisms

Neuronal excitability is governed not only by intrinsic membrane properties but also by dynamic synaptic interactions modulated through intracellular signaling cascades (Casillas-Espinosa et al., 2012). The glutamatergic and γ-aminobutyric acid (GABA) systems constitute the principal excitatory and inhibitory systems in the CNS, respectively. Dysregulation of these neurotransmitter systems—particularly through aberrant receptor function—has been implicated in multiple epileptogenic processes (Davletshin et al., 2023).

Glutamatergic transmission

Glutamate, the primary excitatory neurotransmitter, is released from presynaptic terminals into the synaptic cleft in a calcium-dependent manner, typically following neuronal depolarization. It acts via ionotropic glutamate receptors (iGluRs), including N-methyl-D-aspartate receptors (NMDARs), α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptors (AMPARs), and kainate receptors (KARs), as well as metabotropic glutamate receptors (mGluRs). Mutations affecting these receptors have been linked to various epileptic phenotypes (Barker-Haliski & White, 2015; Chen et al., 2023b; Lemes et al., 2025).

NMDARs function as nonselective cation channels with a high calcium permeability. Rapid calcium influx through NMDARs initiates epileptiform discharges and acts as critical second messengers to trigger intracellular signaling cascades and alter neuronal function, contributing to long-term susceptibility to epilepsy (Celli & Fornai, 2021). AMPARs, which mediate fast excitatory synaptic transmission and regulate synaptic plasticity, are permeable to sodium and potassium, with calcium permeability determined by the presence or absence of the GluA2 subunit. Changes in the composition or expression of AMPARs enhance neuronal excitability and facilitate the propagation of pathological activity within epileptic networks (Hanada, 2020). KARs, tetramers composed of GluK1-5 subunits, are expressed at both presynaptic and postsynaptic sites and modulate neurotransmitter release via ionotropic and metabotropic mechanisms. Heteromeric GluK2/GluK5 KAR assemblies have been associated with recurrent seizure generation in chronic epilepsy models (Crépel & Mulle, 2015). mGluRs, belonging to the G protein-coupled receptor (GPCR) family, mediate synaptic transmission by activating intracellular signaling cascades. Their roles in epilepsy are complex and context-dependent, with both increased and decreased signaling capable of promoting seizure activity, depending on the receptor subtype and anatomical distribution within the brain (Celli et al., 2019).

GABAergic transmission

GABA, synthesized by glutamic acid decarboxylase (GAD), mediates inhibitory neurotransmission by inducing hyperpolarization upon binding to GABA receptors. This inhibitory effect counterbalances excitatory signaling and stabilizes neuronal networks. Two primary receptor classes mediate GABAergic transmission, notably ligand-gated ionotropic GABAA receptors and G protein-coupled metabotropic GABAB receptors (Johnston & Beart, 2024).

GABAA receptors, as ligand-gated ion channels, rapidly suppress neuronal excitability by facilitating Cl- influx. Most GABAA receptors in the brain contain a γ2 subunit encoded by GABRG2, with approximately 50%–60% forming α1β2γ2 complexes, and another 25%–35% comprising alternative α1,2, β1-3, and a γ2 subunit combinations (Bryson et al., 2023). Mutations in GABRG2 were among the earliest identified in epilepsy research and remain extensively characterized, while mutations in genes encoding other subunits have also been reported (Richardson et al., 2024). GABAB receptors, belonging to the G-protein-coupled receptor family, exert both post- and pre-synaptic effects by increasing the extracellular transport of potassium and decreasing calcium influx. Dysfunctions in GABAB receptors have been implicated in the pathophysiology of generalized absence seizures and focal epileptic disorders (Avoli & Lévesque, 2022).

Other neurotransmitters

Beyond glutamate and GABA, an expanding body of evidence has highlighted the involvement of other neurotransmitters and signaling pathways in the development and progression of epilepsy, including acetylcholine, dopamine, serotonin, histamine, norepinephrine, and nitric oxide (Akyuz et al., 2021). These signaling molecules exert either pro- or antiseizure effects by interacting with glutamate and GABA to regulate neuronal excitability, synaptic plasticity, and neuroinflammation in the brain.

Glial cell mechanisms

While epilepsy research has traditionally emphasized neuronal dysfunction, accumulating evidence over the past two decades has highlighted the pivotal contribution of glial cells to the pathophysiology of epilepsy. Abnormalities involving astrocytes, microglia, glial scars, and gliomas have been consistently identified within epileptic foci in both human brain tissue and experimental models (Devinsky et al., 2013). These glial cell alterations reshape the neural microenvironment by modulating ion homeostasis, neurotransmitter clearance, and inflammatory signaling. Emerging technologies such as single-cell transcriptomics are beginning to resolve the molecular heterogeneity of glial subtypes, opening new avenues for identifying cell-type-specific therapeutic targets in epilepsy.

Astrocytes

Astrocytes surround synaptic structures and exert homeostatic control by regulating neurotransmitter levels, ion balance, and gliotransmitter release (Purnell et al., 2023). Astrocytes maintain extracellular potassium homeostasis by absorbing excess potassium ions and redistributing them through Kir4.1 channels. This buffering function ensures neurons maintain their resting membrane potential, preventing excessive neuronal firing. Disruption of Kir4.1 function in astrocytes has been shown to precipitate spontaneous seizures. Additionally, astrocytes regulate extracellular glutamate concentrations via glutamate transporters (EAATs), preventing excitotoxic accumulation within the synaptic cleft. Internalized glutamate is enzymatically converted to glutamine, which is recycled back to neurons for neurotransmitter synthesis. Impairment of this clearance mechanism enhances excitatory drive and promotes seizure susceptibility. In addition, astrocytes release gliotransmitters such as glutamate, ATP, and D-serine, which actively regulate synaptic plasticity and contribute to the network remodeling associated with epilepsy (Vezzani et al., 2022).

Microglia

Microglia function as intrinsic immune cells within the CNS, maintaining brain homeostasis and immune surveillance and responding to injury or disease (Li & Barres, 2018). Upon activation, microglia adopt a proinflammatory phenotype, releasing proinflammatory cytokines, chemokines, reactive oxygen species (ROS), and nitric oxide, factors that alter neuronal excitability, compromise synaptic function, and disrupt the blood-brain barrier (BBB) (Kinoshita & Koyama, 2021; Yu et al., 2023). Neuroinflammation mediated by reactive microglia is increasingly recognized as a driver of seizure susceptibility. In addition to their immunological role, microglia directly influence synaptic remodeling through activity-dependent mechanisms such as synaptic stripping (Wan et al., 2020) and synaptic pruning (Chen et al., 2025), both of which reshape network connectivity and modify the threshold for seizure susceptibility in epilepsy.

CROSS-SPECIES ANIMAL MODELS USED IN EPILEPSY RESEARCH

Animal models serve as indispensable platforms for dissecting the molecular, cellular, and circuit-level mechanisms underlying epilepsy. A wide spectrum of species models has been employed to recapitulate seizure phenotypes, with both naturally occurring and experimentally induced forms documented (Figure 2). While rodent models remain the most extensively utilized model organisms, other less commonly used species—ranging from complex mammals to simple invertebrates—also offer unique advantages that complement rodent-based systems and broaden the translational landscape.

Figure 2.

Figure 2

Schematic overview of epilepsy induction strategies in animal models

A: Induced models are generated through external interventions and include chemical stimulation, electrical stimulation, and physical brain insults. PTZ: Pentylenetetrazol; KA: Kainic acid; MES: Maximal electroshock seizure; TBI: Traumatic brain injury. B: Genetic models are based on inherited predispositions and include spontaneous mutations and transgenic editing techniques. KM rats: Krushinsky-Molodkina rats; DBA mice: Dilute Brown non-Agouti mice; WARs: Wistar Audiogenic rats; GEPRs: Genetically Epilepsy-Prone rats; WAG/Rij: Wistar Albino Glaxo rats; GAERS: Genetic Absence Epilepsy rats. CRISPR/Cas9: clustered regularly interspaced short palindromic repeats/Cas9; ZFNs: Zinc finger nucleases; TALENs: Transcription activator-like effector nucleases; ENU: N-ethyl-N-nitrosourea; MOs: Morpholinos. C: Naturally occurring epilepsy models are based on spontaneous epilepsy observed in specific species. NHPs: Non-human primates.

Rodents

Rodent models, encompassing both acquired and genetic epilepsies, dominate preclinical epilepsy research, with mice and rats comprising the primary experimental systems (Lidster et al., 2016). Despite substantial anatomical and structural differences between rodents and humans, several conserved features underscore the utility of rodents in modeling human neurological disorders (Milior et al., 2023; Muralidharan, 2021). Genes implicated in human disease are highly conserved in rodents, with similar spatial expression patterns, neural circuitry, and network dynamics regulated by shared genetic and transcriptional programs (Huang et al., 2004; Strand et al., 2007; Chuang and Nasrallah, 2017; Graf et al., 2022; Heilbronner et al., 2016; Hodge et al., 2019). Rodent hippocampal anatomy closely parallels that of humans, making these species particularly suitable for modeling temporal lobe epilepsy (TLE) (Zhang et al., 2024b). Additionally, cortical and thalamic structures in both species contribute to the manifestation of generalized seizure phenotypes (Cao et al., 2020). Rodent models are typically classified as either induced or genetic. Induced models rely on chemoconvulsants or electrical stimulations to elicit acute or chronic seizure states, with phenotypic variability depending on induction parameters. Genetic models involve spontaneous mutations or targeted genetic lesions that produce seizure susceptibility or recapitulate specific human epileptic syndromes. Recent advances in gene-editing technologies have enabled the generation of genetic models designed to reproduce a defined human phenotype or genotype associated with epilepsy.

Induced models

Induced epilepsy models rely on exogenous stimuli to provoke seizures, which may be acute (short-term, single episode), status epilepticus, or chronic (long-term, recurrent). The type, severity, and progression of seizure activity depend on multiple factors, including the induction method, stimulus intensity and duration, administration route and dosage, targeted brain region, and species- or age-specific susceptibility.

Acute seizure models

Maximal electroshock seizure (MES) models involve brief, high-intensity electrical stimulation delivered via corneal, auricular, or transcranial electrodes (Browning & Nelson, 1985; Toman et al., 1946) to elicit generalized tonic-clonic seizures (GTCS), typically characterized by bilateral limb clonus and loss of posture. This model remains a cornerstone of preclinical antiseizure medication (ASM) screening due to its procedural simplicity, reproducibility, and high translational relevance (Löscher, 2017). The 6 Hz psychomotor seizure model (Brown et al., 1953; Metcalf et al., 2017), employs low-frequency (6-Hz) transcranial stimulation over a 3 s period to trigger minimal clonic seizure characterized by head nodding, forelimb clonus, and jaw clonus. This paradigm has proven especially valuable for identifying compounds with efficacy against pharmacoresistant limbic seizures (Barton et al., 2001).

Chemoconvulsant-based models offer a pharmacological alternative for acute seizure induction. Pentylenetetrazol (PTZ), a noncompetitive GABAA antagonist, is one of the most widely employed agents in this class. Subcutaneous or intraperitoneal administration of PTZ in rodents generates a range of seizure phenotypes contingent on dosage and administration route (Monteiro et al., 2024). Acute convulsions are typically induced using a single bolus (50–100 mg/kg in mice, 60 mg/kg in adult rats), with seizure onset occurring within 30 min. Seizure severity can be immediately assessed using the modified Racine scale (Lüttjohann et al., 2009; Van Erum et al., 2019), which categorizes seizure severity from localized myoclonus to generalized clonic-tonic activity. In some cases, PTZ exposure can result in sudden unexpected death in epilepsy (SUDEP). Additional outcome metrics include latency to first generalized seizure, time to death, and post-treatment survival rate (Ciltas et al., 2023; Sadek et al., 2016; Tang et al., 2024). PTZ-induced acute seizures are frequently used to evaluate ASM efficacy, with pharmacological responses varying by endpoint (e.g., suppression of myoclonic, clonic, tonic seizures, or survival) (Löscher, 2009). This model is well-characterized for identifying potential treatments for myoclonic seizures (Löscher, 2016). Several other convulsants targeting GABAergic inhibition or alternative neurotransmitter systems have also been utilized to generate acute seizure states. These include bicuculline (Freund et al., 1987), picrotoxin (Ito et al., 1989), flurothyl (Marley et al., 1986), and allylglycine (Ashton & Wauquier, 1979), as well as compounds modulating glutamatergic, glycinergic, or mixed neurotransmission (Table 1). When applied systemically or focally, these compounds can generate different types of acute seizures, facilitating mechanistic studies, toxicological evaluation, and targeted pharmacological screening.

Table 1. Common chemoconvulsants used in animal models.
Chemoconvulsant Functional target or function Species References
PTZ: Pentylenetetrazol; GABAA-R: γ-aminobutyric acid type a receptor; GAD: Glutamic acid decarboxylase; mACh-R: Muscarinic acetylcholine receptor; KA-R: Kainate receptor; AMPA-R: α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor; GLUT-R: Glucose transporter receptor; NHPs: Non-human primates.
PTZ GABAA-R Rodents Monteiro et al., 2024
NHPs Pontes et al., 2016
Zebrafish Baraban et al., 2005
Xenopus laevis Bell et al., 2011; Hewapathirane et al., 2008
C. elegans Câmara et al., 2019; Williams et al., 2004
Bicuculline GABAA-R Rodents Freund et al., 1987
NHPs Jürgen Wenzel et al., 2000
Zebrafish Cassar et al., 2017
Xenopus laevis Hewapathirane et al., 2008
Picrotoxin GABAA-R Rodents Ito et al., 1989
Zebrafish Bandara et al., 2020; Yang et al., 2017
Xenopus laevis Hewapathirane et al., 2008
Flurothyl GABAA-R Rodents Marley et al., 1986
Penicillin GABAA-R Rodents Akdogan et al., 2008
NHPs Mayanagi & Walker, 1975
Cat Avoli, 1995
Allylglycine GAD enzyme Rodents Ashton & Wauquier, 1979
Zebrafish Leclercq et al., 2015
Ginkgotoxin GABA synthesis Zebrafish Lee et al., 2012
Pilocarpine mACh-R Rodents Lévesque et al., 2021
NHPs Perez-Mendes et al., 2011
Zebrafish Lopes et al., 2016
Xenopus laevis Hewapathirane et al., 2008
Kainic acid KA-R Rodents Lévesque & Avoli, 2013
NHPs Chen et al., 2013
Zebrafish Alfaro et al., 2011
Xenopus laevis Hewapathirane et al., 2008
Domoic acid AMPA-R, KA-R Rodents Ananth et al., 2001
NHPs Tryphonas et al., 1990
Zebrafish Lefebvre et al., 2009; Tiedeken et al., 2005
4-Aminopyridine GLUT, K-channel Rodents
Yamaguchi & Rogawski, 1992
Zebrafish Winter et al., 2017
Xenopus laevis Hewapathirane et al., 2008

Status epilepticus models

Status epilepticus (SE) represents a critical neurological emergency encountered in both experimental and clinical contexts. To provide a unified framework for SE classification, the International League Against Epilepsy (ILAE) introduced a time-based operational definition: SE is a condition arising either from the failure of endogenous mechanisms responsible for seizure termination or from the initiation of pathological processes that sustain prolonged seizure activity beyond a defined threshold (time point T1), with the potential to cause long-term consequences—such as neuronal injury, cell death, and network remodeling—if seizure activity persists beyond time point T2. T1 is set at 5 min—the point at which a seizure is considered abnormally prolonged—and T2 at 30 min, marking the onset of risk for long-term neuropathological outcomes (Trinka et al., 2015).

In rodent models, SE is typically induced using prolonged electrical stimulation or chemoconvulsant agents such as pilocarpine or kainic acid (KA) (Gorter et al., 2016). Pilocarpine, a stable analog of acetylcholine and muscarinic acetylcholine receptor agonist, triggers intracellular cascades that elevate neuronal excitability and promote glutamate release. Single intraperitoneal doses ranging from 300–350 mg/kg in mice and 300–400 mg/kg in rats reliably induce SE. This model produces widespread neuropathology that closely mirrors the hippocampal and limbic damage observed in epilepsy patients with mesial temporal sclerosis (Lévesque et al., 2021). KA, a structural analog of L-glutamate and an agonist of ionotropic AMPA/KA receptors, induces neuronal death and excitotoxicity. It can be administered either intracerebrally or systemically, with intrahippocampal or intra-amygdaloid injections of 0.4–2.0 μg typically provoking seizures within 5–60 min. Systemic administration involves single bolus injections (6–15 mg/kg in rats, 20–60 mg/kg in mice), though a low-dose repeated protocol (5 mg/kg/h until SE onset) is often used to reduce mortality (Nirwan et al., 2018). Both approaches yield comparable seizure onset latencies, behavioral profiles, and EEG signatures; however, intracerebral administration leads to unilateral temporal lobe lesions, whereas systemic administration produces broader damage across hippocampal and parahippocampal regions. Species- and age-specific differences in KA sensitivity necessitate careful protocol optimization (Lévesque & Avoli, 2013).

Acute SE models, with varying times of drug administration, can be employed to evaluate the efficacy of ASMs and treatments across different dimensions. Seizure susceptibility is typically assessed using parameters such as behavioral seizure scores, stage-specific latencies, and mortality rates, providing endpoints for assessing ASM prophylaxis and seizure resistance (Do Val-da Silva et al., 2017; Liu et al., 2015). To evaluate therapeutic intervention post-SE onset, compounds are typically administered 30 min after seizure initiation—corresponding to the T2 threshold—to assess termination efficacy in pharmacoresistant SE (Shi et al., 2023; Zhao et al., 2020). Several mechanisms have been proposed to explain pharmacoresistance during SE, including the internalization of GABAergic receptors, up-regulation of AMPARs and P-glycoprotein, and overactivation of neuroinflammation (Herman, 2018; Walker, 2024).

Chronic epilepsy models

In SE-based paradigms, acquired epilepsy often occurs following the acute SE insult. Chronic spontaneous recurrent seizures (SRSs) typically emerge after a latent period spanning several weeks. The latent period reflects an active phase of epileptogenesis—the process by which a nonepileptic brain develops a chronic epileptic condition—accompanied by progressive molecular, cellular, and structural alterations. These include selective neuronal loss, dendritic retraction, mossy fiber sprouting, aberrant neurogenesis, and sustained activation of glial populations, all occurring in the absence of overt clinical seizures (Pitkänen et al., 2015). In post-SE models, this pathological remodeling is driven by histopathological changes in the hippocampus, mirroring those observed in patients with refractory TLE (Coulter et al., 2002; Löscher, 2002; Vermoesen et al., 2011). Long-term EEG and video monitoring are required to verify the emergence of SRSs. Once spontaneous seizure activity is established, the model allows for the stratification of animals into drug-responsive and drug-refractory groups for therapeutic evaluation (Wang & Chen, 2019).

Compared to acute seizure models, chronic epilepsy models have gained increasing attention. Both KA and pilocarpine-induced SE models replicate a drug-resistant state that emerges when treatment is delayed, enabling identification of compounds capable of reversing established resistance (Wang et al., 2023). These models also replicate molecular, cellular, and network alterations associated with epileptogenesis, more closely resembling the natural course of epilepsy (Williams et al., 2007), providing a suitable framework for evaluating disease-modifying therapies or drugs designed to prevent epilepsy onset or progression (Casillas-Espinosa et al., 2019; Clossen & Reddy, 2017; Löscher & Brandt, 2010).

Another widely used chronic model is the kindling paradigm, originally introduced in 1967, which remains a key experimental approach for studying the gradual acquisition of seizure susceptibility, although the mechanism is still not fully understood (Morimoto et al., 2004; Pitkänen and Sutula, 2002). In contrast to SE models, kindling-induced seizures are evoked rather than spontaneous. Repeated subthreshold electrical stimulations, typically targeting the hippocampus or amygdala, result in progressive increases in seizure severity and duration over time. Additionally, chemical kindling, induced by intermittent administration of low-dose PTZ similarly leads to sensitization and the eventual development of generalized seizures (Corda et al., 1991; Karler et al., 1989). Seizure progression is classically defined by the Racine scale, which describes five behavioral stages: facial clonus, head nodding, forelimb clonus, rearing, and rearing and falling accompanied by generalized clonic seizures (Racine, 1972). The transition from focal (stages 1–3) to generalized seizures (stages 4–5) involves the propagation of epileptiform activity from limbic structures to other brain regions. Once fully kindled, animals consistently exhibit stage 5 seizures and maintain long-lasting hyperexcitability in response to previously subthreshold stimuli. This progression recapitulates key aspects of epileptogenesis (Clossen & Reddy, 2017; White, 2002), including neuronal cell loss, aberrant neurogenesis, and axonal sprouting, which are relevant for neural network reorganization (Ren & Curia, 2021).

The classification of kindling as either a chronic or epileptogenesis model remains controversial. While it does not spontaneously generate seizures in the absence of ongoing stimulation, it nonetheless captures essential features of epileptogenic transformation and long-term seizure susceptibility (Bertram, 2007). Importantly, kindling has proven valuable in identifying novel ASMs, particularly those that may be ineffective in MES or PTZ (Barker-Haliski & Steve White, 2020). For example, levetiracetam, an ASM compound with a mechanism distinct from traditional agents, shows robust efficacy in kindling models, highlighting the value of this model in uncovering therapies for drug-resistant epilepsy (Klitgaard, 2001; Löscher & Hönack, 1993).

Acquired epilepsy models

Beyond SE, numerous neuropathological insults, such as traumatic brain injury (TBI), neoplasms, cerebrovascular events, CNS infections, and prolonged febrile convulsions, can initiate acquired epilepsy in humans (Becker, 2018). These injuries trigger cascades of oxidative stress, inflammation, and circuit remodeling, ultimately promoting the emergence of spontaneous recurrent seizures. Several pathologically relevant animal models have been established to mimic these clinical scenarios; three widely studied examples are summarized below.

TBI is a major precipitating factor for post-traumatic epilepsy (PTE), accounting for approximately 5% of all epilepsy cases. Post-injury seizures are classified based on their timing as immediate (<24 h), early (1–7 days), or late (>1 week) (Christensen, 2012; Frey, 2003). The initial mechanical insult triggers a rapid and sustained pathological cascade characterized by excessive production of ROS and activation of glial-driven inflammatory pathways. These processes interact synergistically to damage cellular components and disrupt mitochondrial function, while inflammation recruits immune cells and promotes the release of proinflammatory cytokines. Together, they create a persistent neuroinflammatory microenvironment that lowers seizure threshold, promotes neurodegeneration, and drives structural and functional reorganization of neural circuits, contributing to epileptogenesis.

Rodent models of TBI, particularly fluid percussion injury (FPI) and controlled cortical impact (CCI), have been extensively used to study epileptogenesis and replicate key features of human PTE (Smith, 2016). FPI is a percussive injury that mimics a closed-head-like injury in humans by rapidly injecting fluid into the intact cranial cavity through a craniotomy, which can be positioned parasagittally, centrally, or laterally to modulate injury characteristics (D’Ambrosio et al., 2004; Philips et al., 2020). In contrast, CCI enables precise control of the force, velocity, and extent of cortical tissue deformation using a pneumatic piston (Dixon et al., 1991). Both models exhibit a seizure-free latent period between acute injury and the onset of spontaneous seizures, accompanied by histopathological changes such as hippocampal neuronal death, neurogenesis, and axonal sprouting (Golub & Reddy, 2022; Pease et al., 2024). Structural magnetic resonance imaging (MRI) and EEG are increasingly applied in these models to identify biomarkers predictive of seizure onset and disease progression (Bragin et al., 2016; Perucca et al., 2019; Pitkänen & Immonen, 2014).

Hypoxic-ischemic encephalopathy represents the leading cause of neonatal seizures, exerting profound effects on the structurally and functionally immature brain (Shetty, 2015). Early-life hypoxia-induced seizures (HIS) in rats were first developed by Jensen et al. (1991) using a graded global hypoxia paradigm, in which neonatal rats are exposed to sequentially decreasing oxygen levels (7% O2 for 8 min, 5% O2 for 6 min, 4% O2 for 1 min) in an airtight chamber. Acute seizures typically occur within minutes of hypoxia onset, characterized by head bobbing, wet-dog shakes, and tonic-clonic movements, accompanied by high-frequency epileptiform discharges (Rakhade & Jensen, 2009). Although this model does not produce overt neuronal loss or reactive gliosis, it induces mossy fiber sprouting in the hippocampus, which is responsible for spontaneous seizures and long-term behavioral deficits later in life (Bernard & Benke, 2015; Mikati et al., 2005; Rakhade et al., 2011). In addition to rats, mouse models have been developed to replicate the acute seizures following perinatal hypoxic injury. These rodent models mimic the age-dependent susceptibility to hypoxia and the refractory nature of seizures to conventional ASMs (Sun et al., 2016).

Febrile seizures (FS), the most prevalent seizure type in childhood, affect approximately 2%–5% of children under 5 years of age (Smith et al., 2019). Retrospective clinical analyses indicate a frequent association between early-life FS and later development of TLE (French et al., 1993). Experimental FS models in rodents involve controlled hyperthermia, either by exposing pups to a heated air stream until core body temperature reaches approximately 41°C (Baram et al., 1997) or by immersion in hot water (45.2°C) (Yang & Qin, 2004), both resulting in stereotyped convulsive behaviors including facial twitching, head nodding, and forelimb clonus. EEG analyses have implicated the amygdala and hippocampus as primary seizure initiation sites. Unlike many models of acute brain injury, FS do not induce neuronal death and trigger overt neurogenesis. Instead, they produce persistent changes in gene expression and abnormal cell morphology (Brewster et al., 2002; Dubé & Baram, 2009; Jongbloets et al., 2015), leading to long-term potentiation, increased hippocampal excitability through Hebbian plasticity, and increased suppression of GABA release (Harris et al., 2024). Additionally, FS alters the expression of hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, leading to hippocampal hyperexcitability and later-onset limbic (temporal lobe) epilepsy (Chen et al., 2023a). Neuroinflammatory responses and glial cell activation also play a role in FS pathogenesis, with both deleterious and beneficial effects (Feng & Chen, 2016; Wan et al., 2020).

Acquired epilepsy models offer a powerful translational framework for investigating the mechanisms of epileptogenesis and developing preclinical strategies for anti-epileptogenic therapies. The post-insult latent period provides a unique therapeutic window for intervention, with the effects of treatments easily assessed by monitoring SRS. As in humans, not all animals subjected to brain insults will develop epilepsy. This inter-individual variability allows for identification of potential predictive biomarkers and facilitates stratification of treatment responders and nonresponders (Becker, 2018; White & Löscher, 2014).

Genetic models

Epilepsy is associated with a wide spectrum of genetic factors, with an expanding catalog of pathogenic variants now implicated in diverse epileptic phenotypes (Myers & Mefford, 2015; Noebels, 2015; Ruggiero et al., 2023; Thakran et al., 2020). Broadly, genetic models fall into two categories: those derived from spontaneous mutations and those generated via targeted genomic engineering. Both classes have yielded critical insights into seizure pathophysiology, disease progression, and pharmacological responsiveness.

Audiogenic seizure (AGS) models are reflex seizures primarily triggered by high-intensity acoustic stimulation (Faingold, 2002; Garcia-Cairasco, 2002). While rare in humans, these seizures are robustly expressed in genetically susceptible rodent strains (Stern, 2015), such as Krushinsky-Molodkina (KM) rats (Poletaeva et al., 2017), Wistar Audiogenic Rats (WARs) (Garcia-Cairasco et al., 2017), genetically epilepsy-prone rats (GEPRs) (Ribak, 2017), and Dilute Brown non-Agouti (DBA) mice (Chapman et al., 1984). AGS typically originate in the brainstem and are characterized by a wild running phase followed by tonic-clonic convulsions (Faingold et al., 2014; Ross & Coleman, 2000). These strains are also amenable to audiogenic kindling, a process that induces changes in behavior, EEG patterns, and neuroanatomical structures involved in cortical and limbic networks (Kulikov et al., 2021; Merrill et al., 2005; Vinogradova, 2017). Audiogenic epileptic DBA/1 and DBA/2 mice may also serve as suitable models for studying mechanisms relevant to SUDEP, as they exhibit generalized seizures followed by respiratory arrest, as observed in a significant proportion of epilepsy patients (Bosco et al., 2023; Faingold et al., 2010).

Absence epilepsy (AE), which accounts for 10%–17% of all pediatric epilepsy cases (Matricardi et al., 2014), has also been successfully modeled in rodents. Wistar Albino Glaxo Rats (WAG/Rij) and Genetic Absence Epilepsy Rats (GAERS) are well-established genetic models used to replicate absence epilepsy seizures. Notably, their electrophysiological and behavioral features align with those observed in human patients, characterized by brief episodes of unresponsiveness and cessation of activity, with classical spike and slow‐wave discharges (SWDs) in EEG (van Luijtelaar & Sitnikova, 2006). In addition, their sensitivity to ASMs closely matches clinical observations, making them suitable for predicting ASM efficacy (Russo & Citraro, 2018; Russo et al., 2016). Comparative studies across epileptic and nonepileptic strains, combined with multi-site recordings from cortical and thalamic regions, have facilitated detailed investigations into the circuits and molecular mechanisms driving SWD generation and propagation (Atherton et al., 2023; Stenroos et al., 2024; van Luijtelaar and van Oijen, 2020).

Recent advances in gene-editing technologies have expanded the utility of engineered models in epilepsy research. While mice remain the most widely used system in vivo, rat models are also feasible due to advancements in programmable endonucleases (Ellenbroek & Youn, 2016; Guan et al., 2014). Early genetic models were obtained with spontaneous mutations in mice, providing insights into monogenic epilepsy phenotypes (Noebels, 2006). These efforts have since evolved into highly targeted strategies, including transgenesis, chemical mutagenesis, and gene targeting, which can accurately replicate human epileptic conditions (Mantegazza et al., 2010). Examples of genetically engineered models include SCN1A knockout mice (Barela et al., 2006), GABA-Aγ2(R43Q) mice (Tan et al., 2007), Tsc1 mutant mice (Zeng et al., 2008), Kcnq2/3 knock-in mice (Singh et al., 2008), and Fmr1 knockout mice (Merlin, 2009). These mutations affect genes involved in ion channel regulation, synaptic activity, neurotransmitter release, and intracellular signaling, which are linked to a variety of epilepsy syndromes, ranging from benign familial neonatal epilepsy to severe forms such as Dravet syndrome and early infantile epileptic encephalopathy (Table 2).

Table 2. Genetic models of epilepsy.
Functional target Human gene Associated syndrome Species Animal model References
ADPEAF: Autosomal dominant partial epilepsy with auditory features; AE: Absence epilepsy; BFNS: Benign familial neonatal seizures; CLN2: Neuronal ceroid lipofuscinosis type 2 disease; DEE: Developmental and epileptic encephalopathy; DS: Dravet syndrome; EAS: Epilepsy-aphasia spectrum; EAST/SeSAME: Epilepsy, ataxia, sensorineural deafness and renal tubulopathy; EIMFS: Epilepsy of infancy with migrating focal seizures; GEFS+: Genetic epilepsy with febrile seizures plus; JME: Juvenile myoclonic epilepsy; MAE: Myoclonic-atonic seizures; NFLE: Nocturnal frontal lobe epilepsy; PDE: Pyridoxine dependent epilepsy; PME: Progressive myoclonus epilepsy; NHPs: Non-human primates.
Voltage-gated sodium channel SCN1A GEFS+; DS Rodents scn1a +/− scn1a RX/+ Cao et al., 2012; Yu et al., 2006
Zebrafish Didys552 scn1lab mutant scn1lab morphant Baraban et al., 2013; Tiraboschi et al., 2020; Zhang et al., 2015
Xenopus laevis Oocyte Injection Barela et al., 2006
Drosophila Paralytic para Sun et al., 2012
SCN2A BFNS; DEE; DS Rodents scn2a +/− scn2a +/RX Ogiwara et al., 2018
SCN8A DEE Rodents N1768D/+ R1872W/+ Bunton-Stasyshyn et al., 2019
SCN1B GEFS+; DEE; DS Rodents DEE52 scn1b null mice Brackenbury et al., 2013
Potassium channel KCNB1 DEE Rodents G279R/+ kcnb1 −/− Hawkins et al., 2021; Speca et al., 2014
KCNQ2 BFNS; DEE Rodents kcnq2 +/− kcnq2 −/− Brun et al., 2022
Xenopus laevis Oocyte Injection Hunter et al., 2006
KCNQ3 BFNS Rodents G311V/+ Singh et al., 2008
Zebrafish kcnq3 morphants Chege et al., 2012
KCNT1 EIMFS; NFLE; DEE Rodents kcnt1 −/− Y796H/+ Quraishi et al., 2020; Shore et al., 2020
Xenopus laevis Oocyte Injection Barcia et al., 2012
KCNH1 DEE Xenopus laevis Oocyte Injection Simons et al., 2015
KCNJ10 EAST/ SeSAME Zebrafish kcnj10a morphant Mahmood et al., 2013; Zdebik et al., 2013
Xenopus laevis Oocyte Injection Bockenhauer et al., 2009
HCN1 GEFS+; DEE; DS Rodents hcn1 −/− Huang et al., 2009
HCN2 AE Rodents hcn2 ap/ap Chung et al., 2009
Voltage-gated calcium channel CACNA1A AE Rodents cacna1a −/− Miao et al., 2020
Zebrafish cacna1a morphants Gawel et al., 2020
Ionotropic γ-aminobutyric
acid receptor
GABRA1 GEFS+; JME; AE; DS Rodents gabra1 +/− Arain et al., 2012
GABRB3 DEE; AE; DS Rodents gabrb3 +/− N328D/+ D120N/+ N110D/+ Nwosu et al., 2023; Qu et al., 2020; Qu et al., 2023; Shi et al., 2019
GABRG2 GEFS+; JME; DS; AE Rodents gabrg2 +/− Q390X/+ Kang et al., 2015; Reid et al., 2013
Xenopus laevis Oocyte Injection Baulac et al., 2001
γ-aminobutyric acid transporter/ Glucose transporter receptor SLC6A1 MAE Rodents A288V/+ S295L/+ Shen et al., 2024
SLC12A5 EIMFS Rodents kcc2 +/− Puskarjov et al., 2014
Zebrafish kcc2a/kcc2b mutant Stödberg et al., 2015
Drosophila Kazachoc kcc Hekmat-Scafe et al., 2006
GRIA4 AE Rodents gria4 −/− Paz et al., 2011
Nicotinic acetylcholine receptor CHRNA4 NFLE Rodents S284L/+ S252F/+ +L264/+ Klaassen et al., 2006; Zhu et al., 2008
Xenopus laevis Oocyte Injection Weltzin et al., 2016
CHRNB2 NFLE Rodents V287L/+ Xu et al., 2011
Xenopus laevis Oocyte Injection Weltzin et al., 2016
C. elegans arc-2 mutant Jospin et al., 2009
N-methyl-D-aspartate receptor GRIN2A EAS Rodents grin2a +/− grin2a −/− Camp et al., 2023; Strehlow et al., 2019
GRIN2B DEE Xenopus laevis Oocyte Injection Lemke et al., 2014
Syntaxin/Syntaxin binding protein STX1B GEFS+ Rodents stx1b +/− Mishima et al., 2021
Zebrafish stx1b morphant Schubert et al., 2014
STXBP1 DEE; DS Rodents stxbp1 +/− Miyamoto et al., 2019
NHPs STXBP1-E Lu et al., 2022
Zebrafish stxbp1b mutant Grone et al., 2016
C. elegans munc18-1 mutant Zhu et al., 2020
Synapse transmission LGI1 ADPEAF Zebrafish lgi1a/lgi1b morphant Teng et al., 2010; Teng et al., 2011
Neuronal migration; axonal outgrowth PK1 PME Rodents pk1 +/− pk2 +/− pk2 −/− R104Q/+ Ban et al., 2022; Tao et al., 2011
Zebrafish pk1a morphant Mei et al., 2013
Drosophila pk sple1 /pk sple1 Tao et al., 2011
Dynein-binding protein LIS1 Lissencephaly C. elegans lis-1 mutant Williams et al., 2004
Cyclin-dependent kinase CDKL5 DEE Rodents cdkl5 +/− Sampedro-Castañeda et al., 2023
Gene transcription modification CHD2 EMA; DEE; DS Zebrafish chd2 morphant Gawel et al., 2019
E3 ubiquitin ligase KIAA1323 DEE Zebrafish mind bomb mutant Hortopan et al., 2010a
Lysine catabolism ALDH7A1 PDE Rodent aldh7a1 +/− aldh7a1 −/− Al-Shekaili et al., 2020
Zebrafish aldh7a1 mutant Pena et al., 2017
Tripeptidyl peptidase 1 TPP1 CLN2 Zebrafish tpp1 mutant Mahmood et al., 2013

Non-human primates (NHPs)

Despite their widespread utility, the translational value of rodent models is limited by substantial anatomical and physiological differences from humans. In contrast, NHPs possess a neocortical architecture, synaptic organization, and neurophysiological profile that more closely parallel those of humans. As a result, NHP models yield pathophysiological, behavioral, and electroencephalographic features that more accurately reflect human epilepsy. Many drugs that were effective in rodents have failed to reach the expected efficacy when tested in clinical trials. In this regard, NHP models provide opportunities to evaluate potential therapies (Sanabria et al., 2024). Current understanding of epilepsy in NHPs derives from both naturally occurring seizure phenotypes and experimentally induced models.

Photosensitive epilepsy model

Photosensitivity, characterized by a predisposition to trigger seizures in response to flashing lights or intermittent light stimulation (ILS), was first identified in baboons (Killam et al., 1966). Photoconvulsive episodes include myoclonic responses or sustained GTCS, often accompanied by interictal epileptic discharges (IEDs) recorded over the frontocentral cortex. Similar to humans, spontaneous seizures frequently occur during morning arousal, mirroring circadian susceptibility patterns observed in humans. Comparative studies across primate species revealed that robust photosensitivity appears to be restricted to baboons and humans, indicating a phylogenetically conserved and species-specific phenotype (Naquet et al., 1967; Stark et al., 1968). Furthermore, differences in seizure prevalence across baboon subspecies and geographic populations suggest both genetic and environmental influences (Balzamo et al., 1975; Killam, 1969).

Due to their consistent response to ASMs, epileptic baboons were among the earliest NHP models used for preclinical drug development and testing (Killam, 1976; Löscher, 1984; Meldrum et al., 1975; Wada et al., 1972). More recently, studies utilizing intracranial EEG and functional neuroimaging have expanded the characterization of this model. Seizure onset in baboons typically emerges around 5 years of age, coinciding with late adolescence (Szabó et al., 2012a). Clinical phenotypes include absence, myoclonic, and GTCS (Szabó et al., 2012b). While early studies emphasized frontothalamic networks (Naquet et al., 1975), recent investigations have implicated cortical regions in the generation and propagation of IEDs, revealing a more diffuse pathophysiology consistent with genetic generalized epilepsy. Given these features, the epileptic baboon model mirrors human genetic generalized epilepsy and serves as an optimal framework for photosensitive epilepsy, particularly juvenile myoclonic epilepsy (JME) (Salinas & Szabó, 2017; Szabó & Salinas, 2016).

Experimental models in NHPs

Multiple common convulsants used in experimental rodent models have been extensively tested in NHPs (Table 1), including aluminum hydroxide (Soper et al., 1978), bicuculline (Jürgen Wenzel et al., 2000), domoic acid (Tryphonas et al., 1990), penicillin (Mayanagi & Walker, 1975), PTZ (Pontes et al., 2016), KA (Chen et al., 2013), and pilocarpine (Perez-Mendes et al., 2011). Electrical kindling protocols have also been employed extensively to explore the mechanisms underlying epilepsy and to develop anti-seizure therapies (Wada et al., 1985). These approaches integrate the anatomical complexity and functional connectivity of NHP brains with established rodent methodologies, thereby offering enhanced translational value, particularly for TLE.

Recent advances in assisted reproductive technologies have enabled the generation of genetically modified primate models, including transgenic and gene knockout (KO) lines (Chan et al., 2001; Liu et al., 2014; Sasaki et al., 2009; Sato et al., 2016), facilitating mechanistic studies of epilepsy-associated genes. Numerous studies have modeled neurological diseases in NHPs, including Huntington’s disease, autism spectrum disorders, and Parkinson’s disease (Liu et al., 2016; Yang et al., 2008, 2019; Zhou et al., 2019). In a pioneering study, Murayama et al. (2020) engineered a transgenic marmoset line expressing human GPR56 under regulation of the e1m promoter coupled to enhanced green fluorescence protein (EGFP). Loss of GPR56 function induced cortical malformations and pharmacoresistant epilepsy, with a 15 bp deletion in a cis-regulatory element upstream of e1m identified in affected individuals. This model revealed the neuronal subtype distribution of e1m-driven GPR56 and indicated a potential pathogenic role of GABAergic neurons in GPR56 mutation-associated epilepsy. In a separate study, Lu et al. (2022) generated cynomolgus monkeys carrying single-nucleotide STXBP1 mutations using cytosine base editing of one-cell embryos fertilized in vitro. Mutations in STXBP1 were associated with severe early-onset epileptic encephalopathies (Table 2). Affected newborn monkeys displayed myoclonic seizures and, notably, the typical suppression-burst EEG observed in patients. These genetically modified primate models offer critical systems for elucidating the molecular and circuit-level mechanisms underlying epilepsy.

Domestic animals: Canines/felines

Domestic species such as cats and dogs have long served as translational models in epilepsy research, offering neuroanatomical and physiological advantages that bridge the gap between rodent models and human pathophysiology (Alsharafi et al., 2015). Although the use of induced seizure paradigms in these species has declined due to ethical considerations and statistical limitations imposed by smaller sample sizes, studies in such species continue to complement rodent-based approaches. Clinical reports of naturally occurring epilepsy and advances in veterinary neurology have also played a substantial role in refining diagnostic tools, informing therapeutic strategies, and supporting the development of neuromodulatory and pharmacological interventions (Charalambous et al., 2023; Hasegawa et al., 2021).

Feline epilepsy

In felines, electrical kindling of the amygdala or hippocampus has been employed to investigate the mechanistic basis of neuroplastic changes in epileptogenesis and emphasize the vital role of midbrain reticular formation (Sato, 1975; Sato & Moriwake, 1984; Shouse et al., 2004; Wada & Sata, 1974). These paradigms have also supported pharmacological screening of ASMs and neurostimulation strategies (Leviel & Naquet, 1977; Minabe et al., 1988; Wada et al., 1976, 1987). Additionally, intramuscular administration of penicillin has produced generalized SWDs in cats, enabling detailed analysis of thalamocortical circuitry involved in the pathophysiology of clinical absence seizures (Avoli, 1995). More recently, a colony of cats exhibiting familial spontaneous limbic seizures has been characterized as a genetic model of mesial temporal lobe epilepsy (MTLE) (Kuwabara et al., 2010), with EEG and MRI features closely resembling those seen in human patients, including seizure onset localized to the temporal lobe and unilateral hippocampal atrophy (Hasegawa et al., 2014; Mizoguchi et al., 2014).

Canine epilepsy

Canine epilepsy shares key clinical, etiological, and electrophysiological features with human epilepsy, making it a valuable model for translational research. Seizure episodes, including SE, occur frequently in affected dogs and may arise from structural abnormalities, metabolic disturbances, genetic variants, or unknown causes (Ekenstedt et al., 2012; Podell et al., 1995; Schwartz et al., 2011; Steinmetz et al., 2013). Seizure manifestations range from focal events—with or without impaired awareness—to GTCS (Berendt et al., 2004). EEG has enabled the identification of absence and myoclonic seizures, revealing interictal and ictal activity patterns closely resembling those observed in humans (Berendt et al., 1999; Davis et al., 2011). Since the 1970s, spontaneous epilepsy in dogs has been proposed as a useful comparative model (Frey et al., 1979; Hegreberg & Padgett, 1976), with considerable potential for research on ASM therapy, electroclinical biomarkers, and genetic mechanisms (Cui et al., 2018; Gregg et al., 2020; Patterson, 2014; Potschka et al., 2013; Varatharajah et al., 2017).

Zebrafish

Zebrafish (Danio rerio), a small freshwater teleost species native to South Asia, have emerged as powerful vertebrate model organisms in neurobiology due to their genetic similarity to humans, high fecundity, rapid maturation, and optical transparency (Fontana et al., 2019; Gawel et al., 2019; Kolesnikova et al., 2022; Yaksi et al., 2021). These features facilitate in vivo imaging, genetic manipulation, and high-throughput screening, making zebrafish a tractable system for epilepsy research. Seizures can be reliably induced in larvae and adults using diverse chemoconvulsants or genetic perturbations, enabling the investigation of epileptogenic mechanisms and therapeutic candidates.

Pharmacologically induced acute seizure models

Acute seizure models in zebrafish were first established by Baraban et al. (2005) using PTZ, which reliably triggered seizure-like behaviors in larvae. PTZ has since become the most widely used and extensively validated pharmacological inducer, typically administered at 15–20 mmol/L for larvae and 5–15 mmol/L for adults (Afrikanova et al., 2013; Baxendale et al., 2012; Mussulini et al., 2013; Wong et al., 2010). Additional agents that elicit comparable seizure phenotypes include GABA receptor antagonists (bicuculline and picrotoxin) (Bandara et al., 2020; Cassar et al., 2017; Yang et al., 2017), glutamatergic receptor agonists (KA) (Alfaro et al., 2011; Menezes et al., 2014), cholinergic receptor agonists (pilocarpine) (Lopes et al., 2016; Vermoesen et al., 2011), cholinesterase inhibitors (physostigmine) (Kim et al., 2010), potassium channel blockers (4-aminopyridine, 4-AP) (Cassar et al., 2017; Winter et al., 2017), domoic acid (marine neurotoxin analog of KA) (Lefebvre et al., 2009; Tiedeken et al., 2005), GABA synthesis inhibitors (allylglycine) (Leclercq et al., 2015), and natural plant products (ginkgotoxin) (Lee et al., 2012). These compounds target distinct molecular pathways to induce similar epileptic phenotypes (Table 1).

Chemical convulsants offer practical advantages in zebrafish seizure modeling due to their ease of administration and rapid seizure induction. Compounds are typically delivered via immersion or direct injection, triggering stereotyped seizure behaviors characterized by initial hyperlocomotion followed by recurrent clonus-like convulsions that may lead to death (Alfaro et al., 2011; Baraban et al., 2005). Quantitative assessment of seizure phenotypes is achieved through automated locomotor tracking, electrophysiological recordings such as local field potentials or EEG, and real-time calcium imaging (Cho et al., 2017; Hunyadi et al., 2017; Meyer et al., 2016; Rosch et al., 2018; Turrini et al., 2017). Exposure to chemoconvulsants disrupts neurodevelopmental processes, leading to reduced neurogenesis and elevated expression of immediate early genes (Baraban et al., 2005; Budaszewski Pinto et al., 2021; Copmans et al., 2018; Kim et al., 2010).

Zebrafish from 2 days post-fertilization (2 dpf) through to adulthood serve distinct experimental roles across developmental stages. Zebrafish larvae are particularly valuable for in vivo high-throughput screening and assessment of small-molecule and natural compounds with potential anti-seizure properties (Baxendale et al., 2012; Buenafe et al., 2013; Challal et al., 2014; Copmans et al., 2018; Locubiche et al., 2024; Rosa-Falero et al., 2015). Although adult zebrafish are less amenable to large-scale screening due to anatomical constraints, they enable investigation of complex seizure-like phenotypes not readily observed in larvae (Gupta et al., 2014; Wong et al., 2010) and have shown applicability in studying the comorbidities associated with epilepsy (Canzian et al., 2019; Kundap et al., 2017; Lee et al., 2010).

Genetic epilepsy models

Genetic epilepsy models in zebrafish leverage a high degree of genomic homology, with approximately 70% of human genes represented (Howe et al., 2013) and orthologs identified for nearly 85% of epilepsy-associated loci (Hortopan et al., 2010b). These genetic similarities, combined with the ease of genetic manipulation, make zebrafish an ideal model for generating specific gene mutants that recapitulate key features of human epileptic syndromes.

Early models arose from forward-genetic screens using N-ethyl-N-nitrosourea (ENU) mutagenesis, with the scn1lab mutant—an ortholog of the human SCN1A gene implicated in Dravet syndrome—serving as a foundational example (Schoonheim et al., 2010). These mutants exhibit spontaneous electrographic abnormalities, hyperactivity, convulsive behaviors, and pharmacoresistance, closely mirroring the clinical phenotype (Baraban et al., 2013). Other genes associated with epilepsy have also been identified in ENU-generated zebrafish, including Ube3a (related to Angelman’s syndrome) (Hortopan et al., 2010a), ocrl1 (related to Lowe’s syndrome) (Ramirez et al., 2012), and tpp1 (related to human CLN2 disease) (Mahmood et al., 2013).

For functional studies and phenotyping, reverse genetic approaches have become dominant, with antisense morpholino (MO) knockdown strategies generating transient loss-of-function models targeting epilepsy-relevant genes such as lgi1, kcnq3, kcnj10a, chd2, stx1b, and scn1lab (Teng et al., 2010; Chege et al., 2012; Suls et al., 2013; Schubert et al., 2014; Zhang et al., 2015). Targeted genome editing using zinc finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) further refined mutagenesis capabilities (Hoffman et al., 2016; Stödberg et al., 2015). The advent of CRISPR/Cas9 markedly accelerated the development of efficient and specific knockout lines (Jao et al., 2013). The stxbp1b mutant—exhibiting spontaneous electrographic seizures—was the first model generated via CRISPR/Cas9, establishing a benchmark for precision modeling of human epileptic genotypes (Grone et al., 2016). Subsequent CRISPR-derived zebrafish models include aldh7a1-/- for pyridoxine-dependent epilepsy (Pena et al., 2017; Zhang et al., 2017), depdc5-/- for familial focal epilepsy (Swaminathan et al., 2018), and plphp-/- for vitamin B6-dependent epilepsy (Johnstone et al., 2019).

These genetic zebrafish lines are capable of recapitulating human phenotypes, with most models demonstrating seizure-like behavior or epileptiform discharges, offering robust platforms to dissect epileptogenic mechanisms and evaluate therapeutic candidates across a broad spectrum of epilepsy syndromes (Table 2).

Xenopus laevis

The African clawed frog (X. laevis) is a well-established amphibian model organism widely used in biomedical research (Karimi et al., 2018). Its ease of maintenance, high fecundity, and rapid external development enable large-scale experimental use from embryogenesis to free-swimming, optically transparent tadpoles with anatomically mature brains within 7 days. Approximately 80% of human disease-associated genes possess identifiable orthologs in this species (Hellsten et al., 2010), and the complete genome has been sequenced and annotated (Session et al., 2016). Genetic and molecular manipulation techniques, including mRNA injections (Gurdon et al., 1971) and CRISPR/Cas9 editing, have been readily applied in both oocytes and embryos (Naert et al., 2020). Xenopus tadpoles exhibit many advantages, including transparency for in vivo imaging and high BBB permeability for pharmacological manipulation, establishing them as a powerful model for studying nervous system disorders (Pratt & Khakhalin, 2013).

Tadpole PTZ seizure model

Xenopus tadpoles also provide an efficient platform for studying chemically induced seizures, capitalizing on their capacity for transdermal absorption of neuroactive compounds. Immersion in chemoconvulsants elicits acute, reproducible motor seizures in freely swimming tadpoles within minutes. These episodes begin with convulsive clonus-like motor patterns, including repetitive tail bending, rapid circling, and erratic locomotion, followed by periods of behavioral arrest. With prolonged exposure, increasingly repetitive and stereotyped behaviors culminate in the loss of functional motor control. These behaviors can be elicited by seizure-induction agents with distinct mechanisms in a clear dose-dependent manner (Table 1). PTZ is frequently employed due to its wide therapeutic window and absence of lethality (Hewapathirane et al., 2008). Beyond behavioral phenotyping, seizure analysis in Xenopus tadpoles provides key insights through calcium dynamics and electrophysiological profiling, where synchronized high-amplitude calcium spikes and field-potential oscillations signal an increased neuronal firing rate and synchronicity (Bell et al., 2011; Hewapathirane et al., 2008; Xia et al., 2022).

Oocyte genetic model

Xenopus oocytes provide a robust heterologous expression system for functional analysis of exogenous proteins through RNA injection, a method pioneered in the 1970s (Gurdon et al., 1971). RNA extracted from tissues or synthesized based on the native or mutant protein of interest enables controlled expression of target ion channels, neurotransmitter receptors, and membrane transporters, supporting mechanistic investigation of epilepsy-linked variants. Electrophysiological recording of expressed proteins allows precise evaluation of channel and receptor function. Well before the advent of modern sequencing techniques, Xenopus oocytes enabled expression cloning of neuronal channels and receptors, as well as early testing of epileptogenic agents (Madeja et al., 1994; Muβhoff et al., 1994). Subsequent studies have used this platform to characterize the functional consequences of mutations identified in human epilepsy, including potassium channel genes KCNQ2 and KCNQ3 in benign familial neonatal convulsions (Yang et al., 1998) and the GABAA receptor gene GABRG2 in genetic epilepsy with febrile seizures (Baulac et al., 2001; Harkin et al., 2002). This approach has since been extended to mutations affecting potassium channels (Barcia et al., 2012; Simons et al., 2015; Yang et al., 2010), sodium channels (Barela et al., 2006; Spampanato et al., 2001), GABAA receptors (Johannesen et al., 2016), N-methyl-D-aspartate (NMDA) receptors (Lemke et al., 2014), and acetylcholine receptors (Weltzin et al., 2016), reinforcing the oocyte system as a valuable platform for functional genomics in epilepsy research (Table 2).

Drosophila melanogaster

The fruit fly (Drosophila melanogaster), a small holometabolous insect with a short reproductive cycle of 10–12 days and a lifespan of approximately 30 days, has emerged as a powerful model for investigating neurological disorders. Despite its structurally distinct nervous system, comprising around 100 000 neurons, Drosophila demonstrates extensive functional conservation in key domains such as membrane excitability, ion channel regulation, and neurotransmitter signaling (Parker et al., 2011a). The complete genome has been sequenced (Adams et al., 2000), revealing approximately 75% of human disease-related genes have functional orthologs in Drosophila (Pandey & Nichols, 2011; Yamamoto et al., 2014), including the majority of genes linked to epilepsy in humans (Lasko & Lüthy, 2021). This conservation, combined with sophisticated genome-editing technology and rapid life cycle, has facilitated the in vivo investigation of genes responsible for a wide range of human diseases (Hales et al., 2015; Ugur et al., 2016). The discovery of bang-sensitive alleles in the 1970s (Benzer, 1971) established Drosophila as a tractable seizure model, with subsequent expansion of the genetic toolkit enabling precise recapitulation of specific mutations associated with human epilepsy (Bassett & Liu, 2014).

Seizure-sensitive mutants

Drosophila offers a powerful system for exploring the genetic factors related to seizure susceptibility (Table 2). The first seizure phenotype was described by Benzer (1971), who discovered a class of mutants exhibiting seizure-like behavior in response to a mechanical shock (termed bang-sensitive mutants). To date, more than 10 bang-sensitive alleles have been identified, many of which share molecular parallels with human epilepsy genes (Parker et al., 2011b; Song & Tanouye, 2008). These mutants exhibit seizure-like behaviors characterized by an initial seizure lasting several seconds, during which flies display leg-shaking, proboscis extension, and wing flapping, followed by temporary paralysis and a recovery seizure resembling the initial seizure with clonus-like activity. Similar phenotypes can be induced via electrical stimulation by inserting tungsten electrodes into immobilized flies (Marley & Baines, 2011). Other Drosophila mutants, referred to as temperature-sensitive paralytic mutants, exhibit behavioral paralysis when exposed to heat stress (Burg & Wu, 2012; Parker et al., 2011a).

While seizure-like activity can occur in both wild-type and mutant flies, mutants typically respond to lower stimulus thresholds and display longer seizure-like activity (Howlett & Tanouye, 2009; Kuebler & Tanouye, 2000). Conversely, certain mutants exhibit elevated seizure thresholds and function as seizure suppressors (Kuebler et al., 2001; Song & Tanouye, 2006). Similar to humans, seizures can be pharmacologically suppressed by ASMs such as valproate, phenytoin, gabapentin, and potassium bromide (Kuebler & Tanouye, 2002; Marley & Baines, 2011; Reynolds et al., 2004; Tan et al., 2004). The parabss mutant represents a particularly severe and pharmacoresistant model, offering utility for investigating refractory epilepsy (Kroll et al., 2015).

SCN1A-related genetic model

Seizure phenotypes have been reproduced in Drosophila through targeted knock-in of two human SCN1A gene mutations into its orthologous Drosophila gene, para (Table 2). The GEFS+ K1270T mutation is responsible for GEFS+ epilepsy (Abou-Khalil et al., 2001). When introduced into para, it results in temperature-dependent seizure-like activity, resembling febrile seizures in humans (Sun et al., 2012). Knock-in of the S1231R mutation, associated with Dravet syndrome (Fujiwara et al., 2003), is sufficient to induce both spontaneous and heat-induced seizures (Schutte et al., 2014). Electrophysiology recordings suggest an underlying mechanism related to the inhibitory reduction of GABAergic interneurons. CRISPR/Cas9 genome editing has greatly simplified the generation of additional Drosophila lines carrying either the R1648H (R-H) variant associated with GEFS+ or the R1648C (R-C) variant associated with Dravet syndrome (Roemmich et al., 2021). These models exhibit comparable behavioral and cellular phenotypes, suggesting that divergent clinical outcomes in humans may arise primarily from differences in genetic background.

Caenorhabditis elegans

Caenorhabditis elegans, a nonparasitic nematode, was established as a model organism nearly five decades ago to investigate nervous system development and function (Corsi et al., 2015). Despite possessing only 302 neurons connected to approximately 7 000 synapses, C. elegans provides a fully mapped connectome defined through serial section electron microscopy (Cook et al., 2019; Parker et al., 2011a; White et al., 1986). Its nervous system shares conserved features of synaptic transmission, including neurotransmitters, receptors, transporters, and ion channels, though it notably lacks voltage-gated sodium channels (Hobert, 2013). The availability of single-cell RNA sequencing (scRNA-seq) data for all neuronal cell types in the adult hermaphrodite has further enhanced its utility for neurogenetic studies (Taylor et al., 2021). About 40% of C. elegans protein-coding genes have human orthologs or paralogs, and many human disease genes have counterparts in C. elegans with at least 60% sequence identity (Culetto & Sattelle, 2000; Kaletta & Hengartner, 2006). Although its application in epilepsy research is still in the early stages, the organism offers a genetically tractable, optically accessible, and experimentally versatile system to study the fundamental processes involved in seizure disorders (Cunliffe et al., 2015; Nguyen et al., 2016).

Seizure-like phenotypes in C. elegans (Table 2) were first described in mutants of the lis1 ortholog, a gene associated with lissencephaly and epilepsy in humans (Williams et al., 2004), with exposure to PTZ eliciting rhythmic anterior body contractions, termed “head-bobbing”. Similar PTZ-induced convulsion phenotypes have been observed in mutants of genes involved in GABAergic synthesis and transmission (unc-25, unc-46, unc-47, and unc-49), implicating presynaptic vesicle dysfunction in convulsive motor responses (Câmara et al., 2019). Additionally, mutations in acr-2, which encodes a subunit of the acetylcholine receptor, have been linked to seizure-like phenotypes (Jospin et al., 2009), inducing spontaneous convulsions expressed as muscle hypercontraction behavior. Patch-clamp electrophysiological recordings and calcium imaging have revealed that these phenotypes arise from an excitation-inhibition imbalance within the locomotor circuit (Jospin et al., 2009; Qi et al., 2013; Stawicki et al., 2011).

Others

Other vertebrate systems have yielded additional insights into epilepsy. Domoic acid-exposed sea lions have been reported as a model of temporal lobe epileptogenesis, with neuropathological features such as neuron loss, mossy fiber sprouting, and hippocampal sclerosis that mirror those observed across multiple mammalian species, offering a rare opportunity to study epilepsy in a large mammalian brain (Buckmaster et al., 2014; Cook et al., 2015). Research on the Fayoumi chicken strain using brain chimera technology approaches have shown that brainstem circuits act as major generators of genetic reflex epilepsy (Batini et al., 1996; Teillet et al., 1991). In addition, in vitro models of turtles and guinea pigs are also capable of generating seizure-like activity, contributing to the study of the cellular basis of seizures (Uva et al., 2021; Velluti et al., 1997).

ASSESSMENT OF CURRENT ANIMAL MODELS

Epilepsy comprises a diverse spectrum of phenotypes with multifactorial etiologies and complex pathophysiological mechanisms. Despite substantial epidemiological and clinical advances, symptomatic treatment remains inadequate in many cases, largely due to limited understanding of the underlying mechanisms and biological processes. Animal models are still the most effective tools for studying epileptogenic mechanisms and evaluating therapeutic strategies. However, replicating the full phenotypic and mechanistic diversity of human epilepsy remains challenging due to interspecies differences and the heterogeneous nature of the disease.

Multidimensional comparison of experimental species: strengths and weaknesses

Each experimental species offers distinct advantages for epilepsy research, yet each also presents respective limitations (Figure 3). Mammalian systems provide the closest approximation to human brain structures and organization, offering complex neural architectures that support detailed circuit dynamics, region-specific vulnerability, and higher-order behaviors and cognitive functions. These models enable rigorous assessment of long-term neurological outcomes, such as cognitive decline, behavioral dysregulation, and gradual alterations in neural plasticity, phenomena that cannot be fully reproduced in shorter-lived species. However, the higher costs associated with mammalian models, coupled with ethical concerns and limited genetic tractability, significantly hinder the scalability of experiments. NHPs provide the most faithful replication of human neuroanatomy and behavior, conferring high translational potential for epilepsy research, yet their use is severely limited by stringent ethical oversight, high costs, and the protracted timelines required to generate genetically modified lines. Domestic animals, such as dogs and cats, also exhibit complex brain structures and naturally occurring epilepsy, but their phenotypic variability, lack of standardized protocols, and challenges in genetic manipulation limit their utility beyond observational studies. Rodents share several structural and physiological features with humans, although their brains lack sulci and gyri, making them less similar to humans than other mammals. Nevertheless, rodents strike a balance between neural complexity and experimental tractability, allowing for reproducible phenotypes, behavioral assays, and advanced genetic manipulation, all at a relatively low cost and over shorter timeframes.

Figure 3.

Figure 3

Summary of advantages and disadvantages of animal models of epilepsy across a wide range of species

Comparison between mammalian animal models (rodents, nonhuman primates, canines, and felines) and nonmammalian animal models (Danio rerio, Xenopus laevis, Drosophila melanogaster, and Caenorhabditis elegans). Green texts highlight advantages and red texts highlight disadvantages of each species.

Nonmammalian models offer several advantages for experimental epilepsy research, including small size, simplified neural architecture, and short lifespan, which facilitate low-cost, high-throughput screening and powerful genetic manipulation. However, their reduced network complexity restricted behavioral repertoire—primarily confined to motor responses—limit their translational potential for complex diseases like epilepsy. Zebrafish display robust, quantifiable, and reproducible seizure-like activity at both behavioral and electrographic levels, making them a preferred platform for early-stage screening of ASMs. Nonetheless, most assays are restricted to embryos and larvae, whose immature neural circuitry contributes to variable pharmacological responses. Consequently, the same ASMs can produce different effects on seizure behavior in adult zebrafish (Da Silva et al., 2020; Pieróg et al., 2021). Inconsistent drug absorption when compounds are delivered via immersion—especially for hydrophobic or high-molecular-weight molecules—further complicates pharmacokinetic interpretation and may yield false negatives. Although injection or dietary delivery can overcome these limitations, such methods reduce the scalability of high-throughput screening platforms.

Similarly, Xenopus laevis has been widely used for electrophysiological assays, particularly in the oocyte system, yet its rudimentary brain architecture restricts relevance for modeling circuit-level pathologies. As a heterologous expression system, the oocyte milieu in Xenopus does not replicate the mammalian cellular environment, leading to potential structural and functional differences in proteins expressed after RNA injection. Additionally, endogenous receptors, channels, and transporters in the oocyte may affect experimental consistency when compared to human models. For example, quinidine has been shown to reverse increased potassium currents caused by KCNT1 gain-of-function mutations in Xenopus laevis oocytes (Milligan et al., 2014) but has yielded variable clinical outcomes in patients with KCNT1 mutations (Fitzgerald et al., 2019).

Invertebrate systems such as Drosophila melanogaster and Caenorhabditis elegans possess highly simplified nervous systems with relatively few neurons, constraining their capacity to replicate complex seizure phenotypes. Although targeted modeling of epilepsy-related gene variants—such as Drosophila mutants of human Dravet syndrome—can be introduced into nonmammalian systems, limited cellular diversity and simplified brain architecture restrict their capacity to capture the organ-level and circuit-level pathophysiology observed in human epilepsies. As a result, many of the behavioral and network changes associated with Nav1.1 cannot be accurately replicated.

Toward an “ideal” model: theoretical foundations and practical challenges

An ideal animal model for epilepsy must satisfy three primary validity criteria: construct validity, defined as the capacity to replicate the underlying etiological mechanisms of a given epilepsy syndrome; face validity, the ability to reproduce the phenotypic features of human epileptic conditions; and predictive validity, the ability to identify pharmacological or therapeutic interventions that prove effective in clinical settings (Boillot & Baulac, 2016; Mergenthaler & Meisel, 2015).

High construct validity can be achieved in some models of genetic epilepsies due to well-characterized genotype-phenotype relationships. In contrast, models of mesial TLE typically fall short in this domain. The etiology in human mesial TLE is frequently idiopathic or multifactorial, and no single experimental insult—whether chemoconvulsant exposure, electrical stimulation, or injury—adequately captures the complex, protracted pathophysiological cascade leading to chronic epilepsy in humans (Bertram, 2007; Löscher, 2011). As such, the translational relevance of many chemically or electrically induced models remains a subject of ongoing debate.

Animal models generally exhibit either acute or chronic seizure phenotypes and abnormal electrographic discharges with high face validity, closely mimicking the symptomatology and pathology observed in human epilepsy. However, other behavioral characteristics or comorbidities may be underrepresented or neglected. Acute seizure models, while valuable for evaluating anticonvulsant efficacy, are inherently limited in their ability to capture the chronic, often lifelong nature of epilepsy. Although chronic models exist, many fail to fully represent the complexity of human epilepsy, particularly cognitive decline and network reorganization.

Predictive validity, although crucial for therapeutic development, is the most underdeveloped dimension. Most preclinical studies emphasize construct or face validity, yet few models reliably predict clinical drug responses. The MES test remains the only clinically validated preclinical assay for GTCS (Barker-Haliski et al., 2015; White & Löscher, 2014). Even models using species with high anatomical and physiological similarity to humans suffer from translational limitations due to interspecies differences in neurochemistry, receptor expression, pharmacokinetics, and BBB properties. Additionally, there is no consensus framework for defining predictive validity in epilepsy models, making it difficult to distinguish between models with poor predictive validity and phenotypes that mirror treatment-resistant epilepsy (Simonato et al., 2014).

The inherent heterogeneity of epilepsy compounds the challenge of evaluating model validity. Despite significant advances in the discovery and development of new ASMs through animal models, clinical translation remains inconsistent. Divergences in metabolism, drug distribution, and adverse effect profiles between animal systems and humans continue to undermine translational fidelity. As a result, a systematic re-evaluation of existing models, along with the development of new frameworks for assessing construct, face, and predictive validity, is essential to improve the relevance and impact of preclinical epilepsy research.

Applications of animal models: reference for model selection

Animal models represent a simplified approximation of complex human pathophysiology, designed to replicate selected features of disease rather than its clinical and mechanistic spectrum. In the context of epilepsy research, the primary goal of model development and selection is to elucidate the underlying biological mechanisms of seizures and associated comorbidities, and to evaluate the therapeutic potential of candidate compounds.

In preclinical drug development, the Epilepsy Therapy Screening Program (ETSP), an initiative funded by the National Institute of Neurological Disorders and Stroke (NINDS) and National Institutes of Health (NIH), employs a two-phase testing framework (Kehne et al., 2017). In the initial identification phase, compounds are screened across multiple well-established rodent models encompassing both acute and chronic seizure paradigms, facilitating high-throughput evaluation. Agents demonstrating efficacy are then advanced to the differentiation phase, where they are assessed in etiologically relevant models to obtain a more detailed and precise understanding of their potential efficacy (Wilcox et al., 2020). The program also maintains a publicly accessible database, Public Access to Neuroactive and Anticonvulsant Chemical Evaluations (PANAChE), which compiles detailed information on tests, procedures, and workflows.

While clinical epilepsy classification begins with etiology inferred from patient history, brain pathology, and genetic profile (Fisher et al., 2017), experimental approaches follow an inverse process. Researchers first select an epileptogenic factor and subsequently characterize the resulting phenotype within the model organism, enabling the controlled study of disease mechanisms. This phenotype is shaped by numerous factors, including the induction strategy, species-specific attributes, and the sensitivity of detection platforms. Given that each model reproduces specific aspects of human epilepsy, rigorous alignment between research objectives and model properties is critical. Models can be categorized by seizure phenotypes (Gu & Dalton, 2017; Nirwan et al., 2018; Wang et al., 2022), stages of epilepsy (e.g., ictogenesis, epileptogenesis) (Becker, 2018), specific groups (e.g., pediatric, inherited, drug-resistant epilepsy) (Auvin et al., 2012; Galanopoulou & Moshé, 2015; Löscher & White, 2023), and specific etiologies (e.g., inflammation, tumors, infections) (Golub & Reddy, 2022; Pease et al., 2024). These classification schemes provide a practical basis for selecting models that are best suited to the specific mechanistic or therapeutic questions under investigation.

RECENT PROGRESS AND PERSPECTIVES

Over the past few decades, significant advances have been made in understanding the genetics of epilepsy and in developing innovative tools for targeted therapeutic strategies (Sisodiya, 2021). The field is undergoing a paradigm shift from symptomatic seizure alleviation toward syndrome-specific treatment and disease prevention, with increasing adoption of precision medicine principles in both research and clinical contexts (Klein et al., 2024). Realizing the goals of precision medicine necessitates continuous refinement of existing animal models and the development of new systems capable of capturing the diverse pathophysiology of epilepsy. Advancements in neural circuit technology and molecular genetics are paving the way for more sophisticated animal models with enhanced translational relevance.

Optogenetic and chemogenetic tools are transforming experimental epilepsy modeling by enabling temporally and spatially precise manipulation of defined neuronal populations. Studies have successfully triggered seizures using light-based stimulation alone (Berglind et al., 2018; Krook-Magnuson et al., 2015; Osawa et al., 2013), while the optokindling model has been developed to recapitulate the hallmark properties of classical kindling, notably gradual seizure development and long-term seizure retention (Cela et al., 2019). These technologies allow targeted modulation of seizure-initiating circuits, surpassing conventional electrical or chemical methods in precision (Wang & Chen, 2019; Xiao et al., 2024). Real-time and closed-loop regulation of brain activity can now be achieved by combining simultaneous electrical recordings with optogenetic techniques (Zaaimi et al., 2023). Unlike conventional pharmacological or surgical methods, closed-loop therapies allow rapid and on-demand intervention (Zaaimi et al., 2023).

Parallel advances in next-generation sequencing have identified causative genetic variants in approximately 40% of epilepsy cases, with the expansion of epilepsy-associated genetic databases across species further facilitating research and model development (Zhang et al., 2024a). Progress in genetic engineering has enabled the generation of mutant animal models that reproduce human pathogenic variants, leading to more disease-specific and personalized therapeutic strategies (Fischer et al., 2023; Merseburg et al., 2022; Ochenkowska et al., 2022).

Human brain organoids derived from induced pluripotent stem cells or embryonic stem cells provide a complementary platform for modeling epilepsy in vitro. These three-dimensional cultures recapitulate key aspects of cortical architecture and neural function (Brown et al., 2024; Sasai, 2013), and have been used to replicate cellular phenotypes, electrophysiological properties, and relevant neural circuits essential for understanding seizures (Javaid et al., 2022; Shiri et al., 2019; Weng et al., 2022). Genetic engineering applied to brain organoids enables detailed investigation of epilepsy-associated mutations by recreating the molecular and cellular abnormalities underlying genetic epilepsies (Parent & Anderson, 2015; Simkin et al., 2022; Sterlini et al., 2020). In addition to mechanistic studies, these organoids offer significant potential for personalized treatment. When derived from patient cells, organoids retain individual genetic and epigenetic features, allowing for the modeling of patient-specific epilepsies, evaluation of drug responses, and high-throughput screening to identify effective antiseizure medications and optimal dosing regimens (Chang & Chang, 2022; Hirose et al., 2020; Lybrand et al., 2020; Shcheglovitov & Peterson, 2021). Moreover, the integration of gene editing technologies into these platforms may provide a foundation for the development of targeted disease-modifying treatments.

To support the heterogeneity of epilepsy research, there remains a critical need for diversified and validated models across species. Simple organisms permit rapid genetic and molecular studies, rodents offer circuit-level and behavioral insight, and larger species provide translational relevance. Strategic integration of findings across these systems will be essential to improve mechanistic understanding and advance therapeutic discovery.

Acknowledgments

COMPETING INTERESTS

The authors declare that they have no competing interests.

AUTHORS’ CONTRIBUTIONS

Y.W., J.Z.C., and F.F. edited the manuscript. W.J.L.L., J.X., and Z.S.L. collected references, conceptualized the review, and wrote the original draft. All authors read and approved the final version of the manuscript.

Funding Statement

This work was supported by the National Natural Science Foundation of China (82373859, U23A20533) and Natural Science Foundation of Zhejiang Province (LD24H310001)

Contributor Information

Jun-Zi Chen, Email: chen19857016387@163.com.

Yi Wang, Email: wang-yi@zju.edu.cn.

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