Your new experience awaits. Try the new design now and help us make it even better

SYSTEMATIC REVIEW article

Front. Pharmacol., 09 January 2026

Sec. Neuropharmacology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1659569

This article is part of the Research TopicModel Organisms in Neuropharmacology 2024View all 9 articles

Rodent models of genetic epilepsy and its association with neurocognitive impairment- a systematic review

  • Neuroscience Research Strength, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia

Epilepsy is a neurological disorder affecting almost 50 million people worldwide, with genetic epilepsy (GE) representing a subset caused by specific gene mutations. While cognitive deficits are frequently reported in epilepsy, the contribution of GE itself remains poorly defined. We conducted a systematic review to evaluate the cognitive and behavioral phenotypes in rodent models of GE, focusing on cognition as the primary outcome and behavior as secondary. Literature searches of PubMed, Ovid MEDLINE, and Scopus identified 16 eligible studies in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Across models, rodents with GE commonly exhibited impairments in the neurocognitive and behavioral paradigms. Mutant rodent models were exhibit poorer memory and learning abilities, alongside behavioral abnormalities such as autism spectrum disorder (ASD)-like phenotype, anxiety, and depression. However, the severity and domains of impairment varied across mutations, strains, and developmental stages, reflecting the heterogeneity of GE. Our findings highlight both seizure-driven and gene-driven mechanisms of cognitive impairment and underscore the need for syndrome-specific investigations. Overall, rodent models provide valuable insights into the cognitive comorbidities of GE, but future research requires improved methodological rigor and broader use of complementary models to clarify underlying mechanisms and guide targeted interventions.

1 Introduction

Rapid genomic technological breakthroughs in recent years have made genetics an increasingly important field of study. The study of genes offers insights into fundamental processes from birth to death. It also provides information about disease etiology and potential therapies, enabling more effective use of existing treatments to address prevalent health conditions because of the crucial role of genetic activity in all biological processes (Vadlamudi et al., 2014).

Epilepsy is clinically defined as a chronic neurological disorder characterized by recurrent episodes of unprovoked seizures and is clinically recognized to be accompanied with other cognitive, psychological, neurobiological and social complications (Fisher et al., 2014). Epileptic seizures are caused by synchronous and excessive electrical brain discharges, triggered by abnormally functioning voltage-gated and ligand-gated ion channels that result in electrically hyperactive neurons (Fisher et al., 2014; Novak et al., 2022). As a result, epileptic seizures manifest as transient neurological signs and symptoms (Fisher et al., 2014). The ILAE classifies seizures into generalized, focal, or unknown onset (Fisher et al., 2017). The lifetime prevalence of epilepsy is 7.6 per 1,000 persons and the annual cumulative incidence is 67.77 per 100,000 persons, with prevalence higher in men than in women (Fisher et al., 2017; Novak et al., 2022).

According to the International League Against Epilepsy (ILAE) classification, epilepsies are categorized into six etiologic groups: structural, genetic, infectious, metabolic, immune, and unknown. The term “Genetic Epilepsy” used in this review corresponds to the group of Genetic Generalized Epilepsies (GGEs), which include syndromes such as Childhood Absence Epilepsy, Juvenile Absence Epilepsy, and Juvenile Myoclonic Epilepsy. These conditions are characterized by a presumed genetic basis, although the specific causative mutations are not always identified (Scheffer et al., 2017). A review identified 84 epilepsy genes, defined as gene mutations that cause either pure epilepsies or syndromes in which epilepsy is the presenting symptom (Wang et al., 2017). GEs often follow a complex inheritance pattern which may result from familial inheritance or sporadic single or multiple gene mutations, with or without an environmental influence, leading to the development of specific epileptic phenotypes (Scheffer et al., 2017).

Channelopathies, caused by mutations in genes coding ion channels or their accessory subunits, are rare but predominant causes of GE (Steinlein, 2008). Voltage-gated ion channels, involved in the generation and propagation of action potentials (e.g., sodium, potassium, or chloride channels, or ligand-gated ion channels, which mediate synaptic conduction (e.g., acetylcholine or GABA receptors) are among the classes of ion channels implicated in channelopathies (Steinlein, 2004). The SCN1A gene, which encodes one of nine voltage-gated sodium channels essential for neurological function, is the most common pathogenic gene associated with Dravet syndrome (DS) (Ding et al., 2021; Wang et al., 2017). Loss-of-function mutations in the SCN1A accounts for approximately 80% of DS cases (Ding et al., 2021). Mutations in other epilepsy related genes, such as GABRG2, GABRB3, CACNA1H, and GABRA1, have been implicated in childhood absence epilepsy (CAE) (Wang et al., 2017). PCDH19 clustering epilepsy is a rare monogenic epilepsy syndrome caused by a loss-of-function mutation of the protocadherin-19 (PCDH19) gene, which encodes a calcium-dependent adhesion molecule involved in cell-cell adhesion and synaptic communication (Moncayo et al., 2022). This syndrome follows a unique X-linked inheritance as it primarily affects heterozygous females, while hemizygous males are usually asymptomatic (Moncayo et al., 2022; Samanta, 2020). Random X inactivation in females produces somatic mosaicism of cells with and without PCDH19 protein, leading to dysfunctional cellular interference (Samanta, 2020).

There is more to epilepsy than just seizures. Individuals with epilepsy are often burdened by comorbidities that are more debilitating than seizures themselves. Epilepsy is commonly associated with cognitive dysfunction, such as learning impairment, memory deficits, and intellectual disability, as well as neuropsychiatric comorbidities including anxiety disorders, depressive disorders, and autism spectrum disorder (ASD) (Scheffer et al., 2017). These comorbidities severely affect the quality of life of epileptic patients (Ding et al., 2021). Clinical and narrative literature has suggested that uncontrolled epilepsy may be associated with functional and structural brain alterations that manifest as cognitive deficits (Novak et al., 2022). However, there remains a knowledge gap regarding the direct effects of GE itself, due to its inherent genetic mutations or other coexisting factors, on cognition in patients with minimal seizure history. An alternative theory proposes that both seizure and cognitive comorbidities stem from disrupted neural networks caused by underlying pathogenic etiology (Khalife et al., 2022). Evidence also suggests that cognitive impairment is evident before the onset of seizure in newly diagnosed children, indicating that cognitive deficits may be result from the same underlying dysregulation that causes seizures, rather than seizures themselves (Khalife et al., 2022). Moreover, in DS, the severity and frequency of seizures have been reported to show no direct correlation with the severity of cognitive dysfunction (Lenck-Santini and Scott, 2015). Collectively, these findings suggest that the underlying pathology in GE plays a key role in the cognitive decline, independent of seizure-related mechanisms.

Animal models are essential for studying epilepsy because it is ethically unfeasible to induce epileptogenesis and ictogenesis in human trials. Due to their genetic and morphological similarities to humans, rodents have long been the preferred species in epilepsy research, especially in studies involving genetic modification and targeted mutations. For this review, knock-out and knock-in rodent models are particularly valuable, as they allow targeted manipulation of specific gene loci and often recapitulate phenotypic traits seen in human (Simmons, 2008). Several rodent strains have been proposed as models of GE including EL mice, genetically epilepsy-prone rats (GEPRs) and absence epilepsy strains such as Wistar Albino Glaxo from Rijswijk (WAG/Rij) and Genetic Absence Epileptic Rats from Strasbourg (GAERS), which display recurrent spontaneous seizures accompanied by cognitive-behavioral abnormalities (van Luijtelaar, 2011). Both WAG/Rij and GAERS are well-established models of human generalized absence epilepsy (GAE), faithfully replicating recurrent absence seizures characterized by reduced responsiveness and synchronous spike-wave discharges (SWD), mirroring typical features observed in human features (Coenen and Van Luijtelaar, 2003; Marescaux et al., 1992).

Although it is essential to develop animal models that capture the full clinical features of epilepsy, particularly cognitive deficits, it remains a major challenges. For this review, cognition’ refers to a set of higher-order mental processes encompassing learning, memory, attention, and executive function, as operationalized through validated behavioral tasks in rodent models. The term “neurocognitive” is used to emphasize the neural mechanisms underlying these cognitive processes. Therefore, the present study aims to systematically review the literature to investigate the effects of GE on cognition in rodent models. This work will improve our understanding of epileptogenic mechanisms and their cognitive-behavioral consequences, and help identify potential targets for novel therapeutic interventions to improve cognitive outcomes in patients with epilepsy. Understanding the cognitive deficits associated with genetic epilepsies provides insight into the underlying neuropharmacological mechanisms that link genetic mutations to altered neuronal excitability, synaptic plasticity, and neurotransmitter regulation. Such knowledge is essential for the development of targeted therapeutic interventions aimed at mitigating both seizure activity and comorbid cognitive impairments.

2 Methodology

2.1 Data source and search strategy

A literature search was performed using three electronic databases, Scopus, PubMed, and Ovid MEDLINE, covering publications from database inception until 11th March 2024. The search terms applied were “Animal model*” AND “Cognit*” AND “Genetic epilep*”.

2.2 Study eligibility criteria

Only original studies written in English were included in this study. The inclusion criteria comprised all original studies on rodent models that examined the effect of GE on cognition. Non-original articles (i.e., systematic or literature reviews, book chapters, abstracts, etc.) and studies that did not meet the inclusion criteria were excluded during screening. Non-original studies were omitted due to insufficient datafor comparison and evaluation. Studies were included if they (i) employed rodent models with confirmed genetic or transgenic modifications linked to epilepsy phenotypes, (ii) assessed cognitive functions using validated behavioral paradigms (e.g., Morris Water Maze, Barnes Maze, Fear Conditioning, Novel Object Recognition), and (iii) reported quantitative outcomes. Studies involving solely pharmacological or environmental induction without genetic manipulation were excluded.

2.3 Data extraction and analysis

Two authors were involved in extracting the data. The studies obtained through database search were exported into Covidence, a tool used to streamline systematic reviews. Covidence enabled automatic removal of duplicated articles, and the remaining articles were initially reviewed through title and abstract screening. Following the elimination of studies that failed to meet the inclusion criteria, full-text articles were evaluated for eligibility (Figure 1).

Figure 1
Flowchart depicting a systematic review process. Identification: 916 records from databases (Scopus 564, OVID 341, PubMed 11). Deduplicated 124 records. Screening: 792 records screened, 759 excluded. Retrieval attempted for 33 reports. Assessment: 33 full-text articles, 17 excluded due to non-rodent models (4), irrelevant outcomes (9), wrong design (4). Included: 16 studies.

Figure 1. Flow diagram of literature search strategy and study selection process based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Guidelines.

2.4 Quality assessment

The methodological quality of included studies was assessed using the Systematic Review Centre for Laboratory animal Experimentation (SYRCLE) Risk of Bias (RoB) tool. This tool consists of 10 domains covering selection, performance, detection, attrition, reporting, and other sources of bias. Each domain was rated as “Yes” (low risk of bias), “No” (high risk of bias), or “Unclear” (insufficient information). Two authors independently assessed each article, with discrepancies resolved through discussion.

3 Results

3.1 Selection of studies

A search of the three databases using the keywords mentioned in the methodology yielded 916 articles, followed by the removal of 124 duplicates. Titles and abstracts of the remaining 792 articles were screened, and 759 articles were excluded for not meeting the inclusion criteria. A total of 33 articles were included for full-text screening, of which 17 articles were omitted for the following reasons: (a) nine had wrong outcomes, (b) four involved non-rodent model, and (c) four had inappropriate study designs (Figure 1). Ultimately, 16 eligible articles were extracted and included for discussion in this systematic review, as compiled in Table 1.

Table 1
www.frontiersin.org

Table 1. Tabular representation of the rodent models of genetic epilepsy as well as the cognitive and neuropsychiatric and behavioural outcomes of the studies.

3.2 Animal models

The eligible studies involved rodent models, including both mice and rat models. Eight studies used mice, while another eight used rat, contributing to the total of sixteen eligible studies. Among the eight rat studies, four different strains were used. One study used the GEPR-3s strain (Aguilar et al., 2018), three studies used the GAERS strain (Marks et al., 2016a; Marks et al., 2016b; Marks et al., 2019), two employed the WAG/Rij strain (Jafarian et al., 2015; Russo et al., 2013), and two studies used genetically modified Sprague-Dawley (SD) rats with shRNA encoding downregulation of the Pcdh19 gene (Cwetsch et al., 2022) or the Scn1a gene (Bender et al., 2016). The control rats used for comparison were of the same background: transgenic studies used SD rats with or without control shRNA sequences (Bender et al., 2016; Cwetsch et al., 2022); GEPR-3s studies used SD control rats (Aguilar et al., 2018); WAG/Rij rat studies employed either Wistar rats or WAG/Rij rats injected with vehicle; and GAERS studies used the non-epileptic control (NEC) strain (Marks et al., 2016a; Marks et al., 2016b; Marks et al., 2019).

In the eight mouse studies, transgenic models were used, representing four different strains. Five studies used the C57BL/6J strain, targeting mutations in genes such as Scn1a, Scn2a, and the GABAA receptor β3 Subunit (Dutton et al., 2017; Lena and Mantegazza, 2019; Nwosu et al., 2023; Phillips et al., 2014; Qu et al., 2020). Among these, one study employed both C57BL/6J strain and DBA/2J strains, encoding for SWD-related transcriptional downregulation of the hippocampal HCN1 channel gene, resulting in the R43Q mutation (Phillips et al., 2014). One study used the C57BL/6N strain with a Gabrb3+/N110D gene knock-in (Qu et al., 2023). Two studies used mice with mixed backgrounds: one used 129P2/OlaHsd mixed C57BL/6J hybrids carrying an Scn1a mutation (Salgueiro-Pereira et al., 2019), while the other study used C3HeB/FeJ mixed C57BL/6J hybrids with a truncation mutation in Scn1a gene (Gheyara et al., 2014). Notably, four of the sixteen studies evaluated only male rodents (Lena and Mantegazza, 2019), while the remaining studies included both sexes to investigate the sex difference in cognitive function (Dutton et al., 2017; Gheyara et al., 2014; Nwosu et al., 2023; Phillips et al., 2014; Qu et al., 2020; Qu et al., 2023; Salgueiro-Pereira et al., 2019).

3.3 Methods of cognitive assessment

Cognition encompasses both basic and complex mental functions. Basic functions include attention, sensation, and perception, while the complex processes involve learning, memory, decision-making, and problem-solving. As the primary aim of this systematic review was to assess cognitive impairment in rodent models with GE, a variety of tests were used to assess memory functions in genetically mutated strains.

The cognitive assessments employed can be broadly divided into two categories; (1) tests of associative long-term memory in response to aversive stimuli, such as fear conditioning; (2) tests of learning and memory functions without aversive stimuli, including short-term recall, working memory, long-term recall, reference memory, adaptive memory, and recognition memory.

The Barnes Maze Test (BMT) was frequently used to assess spatial memory, spatial learning, recall memory and adaptive memory. Other tasks, including the Morris Water Maze (MWM), 8-arm radial maze, T maze rewarded alternation test, and Y-maze test evaluated similar parameters, with addition focus on long-term memory in rodents with GE. Social recognition memory was assessed using the three-chambered social interaction test, which determined whether mutant rodents spent more time with novel mice compared to familiar conspecifics. Other commonly used assessments included the novel object recognition test (NORT) and contextual fear conditioning (CFC), which evaluated recognition memory, long-term recall memory, and associative learning and memory, respectively. Associative memory for aversive stimuli was also measured with fear conditioning paradigms (low- and high-intensity) and the passive avoidance test. In some studies, recognition memory was further assessed using tactile, visual, and cross-modal object recognition (CMOR) test.

Because some GEs are associated with ASD-like phenotype, this review also evaluated the complex interplay between GE and ASD as a secondary outcome. All studies assessed behavioral and neuropsychiatric comorbidities relevant to ASD, such as anxiety, depression, intellectual disability, and hyperactivity. The most common tests for anxiety were open field test (OFT) and elevated plus maze (EPM) which also evaluated locomotion deficits. Other tasks used for similar purposes included the three-chamber test, locomotor activity chambers, looming threat test, and dark light test. Depression-related behaviors were assessed using tail suspension test (TST), sucrose consumption test (SCT), and forced swim test (FST). Repetitive behaviors, a hallmark of ASD, were examined using self-grooming and marble burying tests. Social interaction deficits were evaluated using ultrasonic vocalizations (USV), huddling test, reciprocal social interaction test, and the three-chambered social interaction test. Finally, sensory alterations were assessed using the hot plate test.

3.4 Primary outcome

3.4.1 Short-term memory

Spatial learning and memory were impaired in Scn1a mutant rats as assessed by the Morris Water Maze (MWM). MWM evaluates hippocampal-dependent spatial learning by measuring the ability of rodents to locate a hidden escape platform in a pool of water. A study by Bender et al. concluded that in this paradigm, Scn1a mutant rats showed significantly poorer path efficiency in locating the platform compared to controls. Additionally, Scn1a-treated rats also crossed over the target quadrant significantly less compared to the control group (Bender et al., 2016). The T maze rewarded alternation test concluded that the genetically modified SD rats with expression of Scn1a gene mutation revealed significantly poorer performance with a choice accuracy of approximately 68.8% compared to 80.6% in control rats. During variable delay trials, a more pronounced performance decline was observed in the Scn1a gene mutated rats with a choice accuracy of merely 56.8% in the longest delay period whereas a performance improvement was observed in the control group (Bender et al., 2016). The results from both tests concluded that SD rats with mutated Scn1a gene displayed significant spatial memory deficit compared to the control rats.

Short-term spatial learning deficits were also evident in Scn1a mutant mice when tested in the BMT. BMT is a dry-land spatial learning task in which rodents use visual cues to locate a hidden escape hole on a circular platform. In this paradigm, Scn1a mutants exhibited longer escape latencies and committed more errors before finding the target hole compared with controls. Researchers interpreted these findings as evidence of impaired short-term spatial learning (Gheyara et al., 2014; Nwosu et al., 2023; Qu et al., 2020; Qu et al., 2023). These deficits were shown to be present in test groups consisting of both younger (49-day-old) and older (200-day-old) Gabrb3+/D120N mutant mice (Qu et al., 2020). Similarly, Scn1a mutant mice showed a significantly lower performance by not reaching the criterion of making more than 75 percent correct choices to reach the escape platform during the last two consecutive days of training as compared to their controls in the MWM (Salgueiro-Pereira et al., 2019).

However, utilization of the Y-maze test in Scn2a knock-in mice showed that despite young Scn2a mutants displayed only a borderline significant decrease in the percentage of spontaneous alterations compared to wild-type mice in the test, no significant difference was found in adult Scn2a knock-in mice (Lena and Mantegazza, 2019). Furthermore, mice with R1648H mutation of Scn1a gene will only present with cognitive and behavioral deficits if they have been previously exposed to febrile seizures induced by hyperthermia (SIH) or by flurothyl (SIF) (Salgueiro-Pereira et al., 2019). Interestingly, though R43Q mice were shown to exhibit spatial memory and spatial learning impairments, their seizure-resistant strain which expresses the same mutation showed contrasting results (Phillips et al., 2014).

3.4.2 Long-term memory

The Novel Object Recognition Test (NORT) is commonly used to assess long-term memory in rodents, as it leverages their innate preference for exploring novel objects over familiar ones. One study revealed that in the NORT, rats electroporated with Pcdh19 shRNA displayed poor novelty-discrimination abilities spending similar amounts of time with novel and familiar objects (Cwetsch et al., 2022). Consistent with this, Aguilar et al. (2018) reported that Genetic Epilepsy-Prone Rats (GEPR-3s) showed poor novel-object preference, performing at chance levels, whereas Sprague–Dawley control rats displayed the expected significant preference for novelty (Aguilar et al., 2018).

Similarly, Salgueiro-Pereira et al. (2019) found that Scn1a mutant mice in SIH and SIF groups exhibited deficits in memory performance, spending significantly less time in the target quadrant during the Morris Water Maze probe test and failing to discriminate between adjacent and target quadrants. This pattern suggests impairments not only in spatial learning but also in long-term memory (Salgueiro-Pereira et al., 2019). Together, these findings demonstrate convergent evidence from multiple models that genetic epilepsies are associated with impairments in long-term recognition memory, as revealed by NORT, and in spatial memory, as assessed by MWM.

Long-term spatial memory was also impaired in Scn1a mutant rats when assessed with the Morris Water Maze (MWM). In this version of the MWM, rodents undergo repeated training sessions across multiple days, which allows evaluation of long-term memory retention. In this version of the MWM, rodents undergo repeated training sessions across multiple days, which allows evaluation of long-term memory retention. It was discovered that the untreated WAG/Rij group required a longer time and crossed more quadrants before locating the platform compared to the treatment group during day 6 of testing (Russo et al., 2013), which yielded similar results among Scn1a and Gabrb3+/N110D mutant mice (Gheyara et al., 2014; Qu et al., 2023; Salgueiro-Pereira et al., 2019).

However, the MWM test conducted by Bender et al. showed that there was no significant difference observed between Scn1a mutant rats and control rats in terms of the latency to locate the platform or the duration spent in the target quadrant which signifies that spatial reference memory remains intact in these rats (Bender et al., 2016).

3.4.3 Recognition memory

Recognition memory, which reflects the ability to discriminate between familiar and novel stimuli, was primarily assessed using variations of the Novel Object Recognition Test (NORT) and cross-modal object recognition tasks.

In a study by Dutton et al. (2017), Scn1a mutant mice exposed to either a prolonged febrile event (PFE) or an acute/prolonged febrile event (APFE) exhibited divergent outcome. While both wild-type and PFE mutants were able to distinguish between familiar and novel objects, only the APFE mutants spent equal time with both objects (Dutton et al., 2017).

Lena and Mantegazza (2019) reported an age-dependent effect in Scn2a mutant mice: recognition memory deficits were observed in young mutants but did not persist in adulthood (Lena and Mantegazza, 2019).

In the drug-naive trials, NEC rats outperformed GAERS in the visual and tactile recognition test although a significant strain difference was not appreciated. Throughout both tests, both strains showed statistically significant recognition memory above chance level. In the CMOR test, the NEC strain displayed significant novel object exploration during all time periods of the test while the GAERS strain did not (Marks et al., 2016a). These results show that GAERS exhibit impaired recognition memory in non-aversive settings.

Collectively, these studies indicate that recognition memory impairments are a recurring phenotype across multiple genetic epilepsy models. However, the expression of deficits may be influenced by developmental stage, seizure history, and task demands, underscoring the complexity of cognitive outcomes in GE.

3.4.4 Associative memory

Associative memory, which reflects the ability to form and recall stimulus–response associations, was commonly assessed using passive avoidance paradigms and fear conditioning tasks.

In a passive avoidance test, 6-month-old WAG/Rij rats showed significantly reduced step-through latency response into the dark compartment at 1-week and 1-month post-acquisition, compared to Wistar controls and 2-month-old WAG/Rijs suggesting impaired associative memory with age (Jafarian et al., 2015).

In the GAERS model, across both low-intensity and high-intensity fear conditioning setting, GAERS showed significantly enhanced freezing response to all tones compared to the NECs, throughout all testing periods. Additionally, GAERS has also exhibited an overall delayed extinction of the conditioned fear response and increased freezing towards contextual cues compared to the NEC strain. A significant increase in the duration of freezing before and after the delivery of conditioned stimulus was reported in GAERS strain compared to the NEC strain (Marks et al., 2016b; Marks et al., 2019). This indicates exaggerated fear-related associative learning.

In contrast, CFC tests conducted on Pcdh19 knockdown rats showed a pronounced reduction in freezing behavior upon re-exposure to stimulus 24 h after conditioning compared to the control group suggesting impaired formation or recall of associative memory (Cwetsch et al., 2022).

3.4.5 Learning and adaptive memory

Learning and adaptive memory were primarily assessed using the Morris Water Maze (MWM) and Barnes Maze Test (BMT), which evaluate acquisition of spatial information across repeated trials and the ability to adjust to new task demands.

In the MWM test, non-aripiprazole-treated WAG/Rij rats displayed longer escape latencies during the acquisition phase compared to the treatment group. On day 7untreated control rats continue to exhibit prolonged escape latencies which can be ameliorated with aripiprazole treatment, highlighting a potential therapeutic effect (Russo et al., 2013).

Across multiple mouse models, including those carrying Scn1a, and Gabrb3 mutations, spatial learning impairments were consistently reported. Mutant mice demonstrated a longer latency to locate the platform or target location compared to wild-type mice (Dutton et al., 2017; Gheyara et al., 2014; Lena and Mantegazza, 2019; Nwosu et al., 2023; Phillips et al., 2014; Qu et al., 2020; Qu et al., 2023; Salgueiro-Pereira et al., 2019). They also required extra training days to reach performance criteria in BMT and MWM as compared to their wild-type counterparts. Moreover, instead of utilizing target-orientated search strategies, mutant mice often relied on random search behaviors, contributing to inefficient target location arrival.

3.5 Secondary outcome

3.5.1 ASD-related behaviors

Autism spectrum disorder (ASD)-related behaviors, including social interaction deficits and repetitive behaviors, were evaluated using paradigms such as the three-chamber social interaction test, ultrasonic vocalizations (USV), huddling, and stereotypy assays.

Pcdh19 mutant rats exhibited significantly reduced vocalization in the USV test, pronounced isolative behavior in the huddling test, and reduced sociability index in the three-chamber test compared to control littermates. Additionally, they displayed significantly quicker response toward an acute thermal stimulus than control littermates particularly in males (Cwetsch et al., 2022). Consistent social interaction deficits were observed in other mutant strains using the three-chamber test, including Scn1a and Gabrb3 models (Qu et al., 2020; Qu et al., 2023; Salgueiro-Pereira et al., 2019). Intriguingly, Gabrb3+/N328D knock-in mice did not display significant sociability deficits compared to their wild-type (Nwosu et al., 2023).

Repetitive behaviors were evaluated through self-grooming, marble burying, and OFT (Lena and Mantegazza, 2019). Young Scn2a mutant mice spent significantly more time burying marbles and engaging in self-grooming compared to adult Scn2a mutants and wild-type mice. Additionally, another study found that Scn1aRH/+-SIH mutant mice displayed stereotypic behaviors in the OFT (Salgueiro-Pereira et al., 2019).

3.5.2 Anxiety

Anxiety-like behavior was primarily assessed using the elevated plus maze (EPM), OFT, light-dark transition test, and looming threat paradigms, which measure rodent’s avoidance of open or aversive spaces.

Eight out of eleven studies reported significantly lower center entries and reduced exploration of the center of the arena compared to control and aripiprazole-treated groups in the OFT or EPM, indicating increased anxiety-like behavior in mutant rodents (Aguilar et al., 2018; Bender et al., 2016; Gheyara et al., 2014; Lena and Mantegazza, 2019; Qu et al., 2020; Qu et al., 2023; Russo et al., 2013; Salgueiro-Pereira et al., 2019). In non-treated WAG/Rij rats, reduced rearing and grooming behavior were also noted (Russo et al., 2013).

Mutant rodents often spent significantly less time in the open arms, exhibited reduced locomotor activity and increased freezing behavior, consistent with heightened anxiety-like responses (Gheyara et al., 2014; Marks et al., 2016b; Qu et al., 2020; Qu et al., 2023; Russo et al., 2013). These anxiety-related behaviors were reduced by aripiprazole treatment (Russo et al., 2013). OFT studies showed that mutant rodents preferred spending less time in the center zone (Dutton et al., 2017; Gheyara et al., 2014; Qu et al., 2023; Salgueiro-Pereira et al., 2019). GAERs rats made fewer open arm entries compared to NEC rats regardless of age (Marks et al., 2016b). Besides, GEPR-3s presented with a reduced number of head pokes into the open arm and higher frequency of stretch-attend posture than SD rats in the closed-arm, suggesting elevated anxiety (Aguilar et al., 2018). Additional studies revealed thatGEPR-3s strain also exhibited spent less time in the light compartment of the light-dark transition test and froze longer during the looming threat exposure (Aguilar et al., 2018). Interestingly, sex difference were noted asfemale rats made significantly more open-arm entries than male rats regardless of age and strain (Marks et al., 2016b).

Intriguingly, not all models showed heightened anxiety. There was no significant difference in the time spent in the central arena between GAERS and control littermates (Marks et al., 2016b). Scn1a mutants, Gabrb3+/N328D knock-in mice, and young Scn2a mutant mice were also revealed to exhibit normal anxiety levels in several paradigms (Dutton et al., 2017; Lena and Mantegazza, 2019; Nwosu et al., 2023).

Overall, most genetic epilepsy models exhibit heightened anxiety-like behaviors, though variability exists depending on genetic background, strain, and age. Certain pharmacological interventions, such as aripiprazole, may mitigate these effects.

3.5.3 Locomotion deficits

Locomotor activity was assessed using the Open Field Test (OFT) and dedicated locomotor activity chambers, which measure exploratory behavior, rearing frequency, and distance travelled.

Mice carrying Scn1a, Gabrb3+/D120N, and Gabrb3+/N110D mutations showed significantly increased hyperactive features such as frequency of rearing and total distance traveled compared to the wild-type littermates (Dutton et al., 2017; Gheyara et al., 2014; Qu et al., 2020; Qu et al., 2023; Salgueiro-Pereira et al., 2019).

In contrast, reduced locomotion activity was observed in Gabrb3+/N328D knock-in mice, indicating that not all GABAergic mutations produce hyperactivity (Nwosu et al., 2023).

These findings indicate that locomotor outcomes vary depending on genetic mutation, with some models demonstrating hyperactivity while others show reduced activity. Such discrepancies suggest that different genetic epilepsies may exert distinct effects on neural circuits regulating motor behavior.

3.5.4 Depression

Depressive-like behaviors were evaluated using paradigms such as the Forced Swim Test (FST), Sucrose Consumption Test (SCT), and Tail Suspension Test (TST), which assess behavioral despair and anhedonia.

In the FST, Scn1a mutants did not show significant difference in immobility time compared to controls (Dutton et al., 2017). In contrast, WAG/Rij rats and low-dose aripiprazole-treated rats displayed increased immobility time compared to other groups, although higher dose aripiprazole treatment reduces immobility, suggesting antidepressant effect (Russo et al., 2013). A different study reported that young Scn2a mutants spent significantly less time being immobile compared to their controls, while immobility was observed more in adult Scn2a mutants, suggesting some developmental differences (Lena and Mantegazza, 2019).

The SCT revealed that GEPR-3s and untreated WAG/Rij rats demonstrated significantly reduced sucrose preference compared control or aripiprazole-treated rats, indicating anhedonic behavior (Aguilar et al., 2018; Russo et al., 2013).

Overall, depressive-like phenotypes were observed in several GE models, though results varied by genetic background and age. Importantly, pharmacological intervention with aripiprazole was able to reduce depressive behaviors in certain strains, suggesting potential therapeutic avenues.

3.6 Quality assessment

Overall, the quality assessment revealed that most studies demonstrated unclear risk of bias in all domains. While sequence generation and baseline characteristics were often described, reporting bias and attrition bias were rarely addressed. A summary of the SYRCLE RoB assessments for each study is presented in Table 2.

Table 2
www.frontiersin.org

Table 2. Systematic Review Centre for Laboratory Animal Experimentation Risk of Bias (SYRCLE RoB tool) assessing quality of preclinical animal studies.

4 Discussion

4.1 Cognitive dysfunction in genetic epilepsy

Two main hypotheses have been proposed to explain the cognitive dysfunction observed in genetic epilepsy models: one emphasizing seizure-related neuronal damage and the other implicating gene-driven alterations which are independent of seizure activity. According to the first hypothesis, cognitive impairment stems from persistent or recurrent seizures that lead to chronic neuronal damage and oxidative stress in brain regions responsible for memory and learning (Holmes, 2015). This was supported by studies investigating Scn1a mutant mice and in HCN1 (R43Q) mutants where prior induction of seizures before cognitive testing led to significant memory impairments (Dutton et al., 2017; Phillips et al., 2014; Salgueiro-Pereira et al., 2019). The second hypothesis was supported by a study where mice exposed to multiple SWDs presented with cognitive impairments which were not exhibited in their seizure-resistant R34Q counterpart (Phillips et al., 2014). The mutations in genes such as Scn1a and Scn2a directly disrupt cortical development, synaptic transmission and ion channel function, resulting in hyperexcitability in brain areas that compromise cognition independently of seizures. Consequently, prolonged neurological hyper-excitability will eventually lead to reduced neural function and adversely affect cognition over time (Staley, 2015). These two mechanisms are not mutually exclusive and may act in parallel, with genetic vulnerability shaping brain networks that are then further compromised by seizure activity.

Evidence from Scn1a R1648H mutant models further highlights the interplay between genetic vulnerability and seizure exposure in shaping cognitive outcomes. In these mutants, significant cognitive and behavioral impairments were observed only in rodents previously exposed to febrile seizures triggered by either hyperthermia or flurothyl, whereas mutants with the same genetic background, but without seizure exposure, did not exhibit comparable deficits (Salgueiro-Pereira et al., 2019). These findings suggest that the R1648H mutation alone is insufficient to cause cognitive and behavioral deficits but increases susceptibility to seizure-induced neuronal changes. These findings fortify the view specific genetic background may act as modifiers, amplifying the impact of seizure burden on cognition (Yi and Wei-Wei, 2023). However, it remains unclear whether this specific genetic mutation alone exacerbates the cognitive phenotype of genetic epilepsies or primarily acts through seizure-mediated mechanisms.

While several rodent models (e.g., Scn1a, Scn2a, and Gabrb3 mutants) represent specific genetic mutations associated with epilepsy, others such as GAERS or WAG/Rij rats display spontaneous spike–wave discharges typical of GGEs. Although full validation of human syndromes remains ongoing, these models offer crucial insights into how genetic or neurophysiological disturbances contribute to cognitive dysfunction. Pharmacological studies using these models, such as Russo et al. (2013), further inform how antiepileptic interventions may modulate cognitive outcomes. WAG/Rij rats consistently demonstrated age-dependent deficits in cognitive functions such as learning, long-term, or adaptive memory. In the MWM test, an age-dependent decline in learning and memory function is observed which is consistent with earlier findings of deficits in active and passive avoidance tasks (Leo et al., 2019; Sarkisova and van Luijtelaar, 2011). These impairments in the WAG/Rij strain may be explained by an age-dependent increase in SWD frequency and duration, consistent with previous studies and may not be related to the ontogenesis of GE (Jafarian et al., 2015; Karson et al., 2012; Leo et al., 2019; Sarkisova and van Luijtelaar, 2011). This is further supported by evidences showing that Wistar rats also demonstrated poorer memory functions in cognitive tasks at older ages which is concurrently associated with the development of SWDs (van Luijtelaar et al., 1995). The cerebral hypoperfusion experienced during SWD episodes may underlie these deficits, as older WAG/Rij rats show increased neuronal apoptotic cells, dark neurons, and caspase-3 activity in the affected brain areas (Jafarian et al., 2015). These findings suggest that in WAG/Rij rats, cognitive impairment is strongly associated with seizure-induced pathology. However, future research is needed to explore whether genetic abnormalities in the WAG/Rij strain might contribute to the cognitive deficits, as opposed to solely attributing them to seizure-induced damage.

Other studies support the hypothesis that genetic mutations themselves directly drive cognitive impairment, independent of seizure burden. For instance, both young (49-day-old) and adult (200-day-old) Gabrb3+/D120N mutants exhibited poor spatial memory and learning across the BMT and MWM (Qu et al., 2020). The persistence of deficits across developmental stages suggests that the impairments arise from the underlying mutation rather than cumulative seizure effects. This pattern mirrors human syndromes such as DS, Lennox-Gastaut syndrome (LGS), and CAE, that generally manifest during the pediatric years of life and persists, regardless of seizure control (Anwar et al., 2019; Datta et al., 2023; Smith et al., 2018). Unfortunately, this poses a double whammy for those affected, as cognitive impairments are often more severe in individuals who develop epilepsy at a young age (Lenck-Santini and Scott, 2015).

Findings from Scn1a knockdown studies in the medial septum and diagonal band of Broca (MSDB) further illustrate how gene-specific effects can produce selective cognitive deficits. In a study by Bender et al. (2016), the knockdown of Nav1.1 in the MSDB resulted in a short-term working memory deficit in the mutant rats evidenced by the poor path efficiency in MWM and poor choice accuracy in the T-maze rewarded alternation test (Bender et al., 2016). Electrophysiological data revealed selective and targeted damage to the burst-firing GABAergic neurons, as well as loss of hippocampal theta oscillations, both of which are critical for spatial working memory (Bender et al., 2012). These findings align with prior studies using neurotoxins to selectively damage MSDB neurons which similarly resulted inworking memory but not reference memory deficits (Dwyer et al., 2007; Pang et al., 2011). Interestingly, Nav1.1 knockdown secondary to Scn1a mutation did not impair spatial reference memory, highlighting the task-specific nature of these effects (Leo et al., 2019). Together, these results suggest that functional GABAergic impairments due to SCN1A mutations disrupt hippocampal theta frequency, selective working memory impairments and not the reference memory.

Mutations in GABAA receptor subunits, which underlie syndromes such as Lennox-Gastaut syndrome (LGS) and infantile spasms syndrome (ISS), consistently produce severe cognitive impairments in rodent models. LGS models carrying Gabrb3+/D120N and Gabrb3+/N328D mutations as well as infantile spasms syndrome (ISS) models carrying Gabrb3+/N110D mutations exhibited similar deficits in learning and memory, suggesting a cognitive deterioration phenotype typically seen in epileptic encephalopathies and progression of these genetic epilepsies (Nwosu et al., 2023; Qu et al., 2020; Qu et al., 2023). Clinically, cognitive impairment affects more than three-quarter of LGS patients, while 70%–90% of ISS patients develop intellectual disability (Zupanc, 2003). Notably, aberrant interictal epileptiform activity which interfere with cerebral function and normal brain developmental can still cause cognitive impairment even when the seizures are controlled (Aldenkamp and Arends, 2004; Stroink et al., 1998). This mechanism may explains the neurocognitive and behavioral deficits in Gabrb3+/N110D mutants whose interictal brain waves differed significantly from wild-type controls, suggesting that abnormal background brain rhythms contribute to progressive cognitive regression in these models (Qu et al., 2023).

GABAergic neurons, distributed throughout multiple brain regions, play a critical role in maintaining inhibitory balance and cognitive stability. In Gabrb3+/N328D mutated mice, reduced expression of Gabrb3 was observed in the thalamus, cerebellum, and hippocampus regions, postulating a decrease in the stability of the mutant β3 subunit protein (Nwosu et al., 2023). Given the hippocampus’s well-established role in memory formation and retrieval, deficits in GABAergic inhibition within the hippocampus may explain the impaired memory and learning ability observed in Gabrb3+/N328D mutants. Notably, β3 subunits are highly expressed in the adult hippocampus, reinforcing their importance for normal cognitive processing (Hörtnagl et al., 2013).

Recognition memory allows animals to distinguish familiar from novel stimuli and has been linked to perirhinal cortex (Moreno-Castilla et al., 2018). In drug-naive GAERS, CMOR memory deficits were observed without aversive stimuli, minimizing the influence of anxiety on performance (Marks et al., 2016a). These impairments are likely linked to the dysfunction of perirhinal cortex, a region implicated in visual recognition memory (Winters and Reid, 2010). GAERS are reported to exhibit altered perirhinal cortex function, likely due to the mutation in CaV3.2 T-type calcium channels (Powell et al., 2009). This is notable given the high density of T-type calcium channel the perirhinal cortex (Talley et al., 2000). Hence, recognition memory impairments in GAERS may be mediated perirhinal cortex dysfunction linked to altered T-type calcium channel activity.

Not all studies have reported consistent recognition memory impairments, and several confounding factors may influence outcomes. In GEPR-3s rats, apparent memory consolidation deficits may be confounded by heightened anxiety-related behaviors (Aguilar et al., 2018). Elevated corticosterone levels in stressful settings can motivate stress-induced novelty avoidance behavior and impair NORT performance, without reflecting true memory deficits (Vargas-López et al., 2015). Consistently, elevated corticosterone levels have been reported in GEPR-3s rats, which may underlie their poor performance in recognition tasks (Aguilar et al., 2018). In contrast, young Scn2a mutant mice displayed age-dependent memory impairment which did not last till adulthood (Lena and Mantegazza, 2019). This developmental pattern may reflect the predominance of NaV1.2 voltage-gated sodium channels in the hippocampus during the initial 3 weeks of life, which is later taken over by Nav1.6 sodium channel subtype during maturation (Boiko et al., 2003). These findings underscore that recognition memory outcomes may be shaped by extrinsic confounds, such as stress and anxiety, and intrinsic developmental factors, such as ion channel maturation. Moreover, given the frequent comorbidity of ADHD with ASD, attentional dysfunction may also contribute to recognition impairments in young Scn2a mutants.

Associative memory outcomes varied across various GE rat strains. In WAG/Rij rats, deficit in associative memory is likely due to an age-dependent increase in seizure frequency and duration resulting in neuronal disruptions (Jafarian et al., 2015; Karson et al., 2012; Leo et al., 2019). In contrast, Pcdh19 mutant rats lacked significant seizure history but showed noticeable impairments in associative memory during the CFC test. Supporting this, it was reported that Pcdh19 heterozygous female mice demonstrated consistent reduced fear response in fear conditioning tests, while hemizygous male mutants showed no alterations in fear response (Hayashi et al., 2017; Hoshina et al., 2021). Pcdh19-transfected rats also demonstrated poor long-term memory functions in the NORT. Together, these findings suggest that the associative memory impairments in WAG/Rij rats are likely seizure-driven, whereas in Pcdh19 mutants, they may arise directly from the underlying genetic defect.

In contrast to WAG/Rij and Pcdh19 models, GAERS models exhibited enhanced associative learning, with stronger cued and contextual memory in response to fear (Marks et al., 2016b; Marks et al., 2019). Similar enhancements were reported in aversive learning tests such as the two-way active avoidance tests (Getova et al., 1997; Sitnikova, 2024). However, these improvements may be confounded by the delayed extinction of conditioned fear, raising the question of whether the results were due to dysfunctional inhibitory learning, augmented fear conditioning, or heightened anxiety behavior (Marks et al., 2016b; Marks et al., 2019). Thus, the disparity in associative cognition observed across strains highlights both test-dependent variability and the likelihood that different mechanisms such as seizure burden, genetic mutation, or altered emotionality, underlie associative memory outcomes in GE models.

These findings also highlight how genetic mutations in epilepsy can influence not only cognition but also broader behavioral domains. The next section considers how GE models recapitulate behavioral phenotypes, including autism spectrum disorder (ASD)-related traits, anxiety, and depression.

4.2 Behavioral deficits in genetic epilepsy

Mutant rodents frequently exhibited behavioral phenotypes resembling autism spectrum disorder (ASD), including repetitive behaviors, deficits in social interaction and sensory hypersensitivity. For example, Pcdh19 transfected rats demonstrated socio-behavioral impairments from early life that persisted into adulthood as well as sensory hypersensitivity which are consistent with ASD-like traits (Cwetsch et al., 2022). Heterozygous Pcdh19 knockout female mice also showed reduced sociability in the three-chamber test, resembling autism-like behavior (Lim et al., 2019). Interestingly, sex difference have been noted, with male rodents exhibiting greater pain hypersensitivity compared to females (Hayashi et al., 2017). Similarly, young Scn2a mutant mice displayed repetitive behaviors and impaired social interaction, likely reflecting dysfunctions in cortico- striatal circuits in the brain that regulate social and repetitive behaviors (Lena and Mantegazza, 2019). These findings suggest that genetic epilepsies involving Pcdh19 and Scn2a mutations may directly contribute to ASD-like phenotypes. Across multiple studies, anxiety-like behavior were consistently reported in rodent GE models. Two-month-old WAG/Rij rats without seizure history demonstrated increased anxiety behavior and stress reactivity compared to age-matched Wistar rats, suggesting a strain effect rather than seizure-induced pathology (Fedosova et al., 2015). GAERS model similarly exhibited heightened anxiety behavior in the EPM (Jones et al., 2008; Powell et al., 2014). However, results from the OFT appeared to be task-specific and age-dependent (Marks et al., 2016b). GEPR-3s consistently demonstrated anxiety-like behavior across all paradigms, which were attributed to serotonin abnormalities in the brainstem (Aguilar et al., 2018; Dailey et al., 1992). Scn1a mutants displayed modest increase in anxiety, consistent with Nav1.1 haploinsufficiency models that increased thigmotaxis in the OF test (Ito et al., 2013). Collectively, these findings indicate that genetic background and neurotransmitter abnormalities may modulate anxiety phenotypes across GE models.

The Scn2a model revealed a clear developmental contrast in anxiety phenotypes. Young Scn2a mutants demonstrated lower anxiety levels in EPM and OFT, as well as reduced immobility during the TST, in contrast to adult mutants (Lena and Mantegazza, 2019). Comparable behavioral findings have been reported in BTBR mice, where reduced anxiety-like behavior was also observed (Pobbe et al., 2011; Silverman et al., 2010). Researchers hypothesized that such behavioral findings were most likely explained by modifications of the hypothalamic-pituitary-adrenal (HPA) axis. Supporting this, reduced NaV1.2 expression in excitatory pathways of amygdala, hypothalamic, and limbic circuits have been shown to modify the HPA axis (Ogiwara et al., 2018). During early development, the amygdala primarily regulated emotional response towards aversive stimuli, but later phases of development the role is then taken over by the prefrontal cortex which exerts a top-down regulation and enhances emotional control (Gee et al., 2013). Consequently, reduced signaling from the amygdala may attenuate HPA activity during stress, explaining the lower anxiety phenotypes observed in young Scn2a mutants.

Evidence for depressive-like behaviors was also reported across GE models, though some findings may reflect confounding by anxiety. For instance, GEPR-3s exhibited reduced sucrose preference in the SCT, though this may reflect novelty-suppressed feeding due to heightened anxiety rather than depression (Aguilar et al., 2018; Bodnoff et al., 1988). Supporting this, fluoxetine, an anxiolytic agent, restored feeding behaviors in a corticosterone-induced anxiety model (Mendez-David et al., 2017). In a tail suspension test, adultScn2a mutant mice, showed increased immobility, suggestive of depressive-like symptoms (Lena and Mantegazza, 2019). Similarly, WAG/Rij rats at six and 12 months old also demonstrated increased immobility time in the FST (Leo et al., 2019). Collectively, these findings indicate that depressive-like behaviors may emerge in GE models, although careful interpretation is warranted due to overlap with anxiety-related outcomes.

Some findings diverged across models, highlighting the importance of genetic background. For example, Gabrb3+/N328D mutants showed reduced locomotor activity, impaired social interaction and anxiety symptoms, whereas Gabrb3+/D120N mutants did not, suggesting that motor deficits may secondarily influence behavioral outcomes (Nwosu et al., 2023). This observation highlights that even within the same syndrome, distinct mutations can result in divergent behavioral outcomes, reflecting the heterogeneity of GE models.

Several limitations should be acknowledged when interpreting the findings of this review. Genetic epilepsies are highly heterogeneous, both in their underlying pathophysiology and in the cognitive and behavioral phenotypes observed in animal models. As such, the outcomes summarized here are mutation- and syndrome-specific and should not be generalized across all forms of GE. In addition, some of the included studies incorporated treatment interventions; however, these were only considered when baseline cognitive or behavioral outcomes in untreated mutant animals were available, ensuring that the synthesis focused on the intrinsic phenotypes of GE models rather than treatment efficacy. We also recognize that our search strategy, which focused on the broad term “genetic epilepsy,” did not capture every gene- or syndrome-specific model described in the literature. Given the extensive and heterogeneous range of genes implicated in GE, it was not feasible to include all of them at this stage. Nonetheless, we believe that our approach was sufficient to provide a representative overview of cognitive impairments in rodent models of GE. Furthermore, the quality appraisal using the SYRCLE Risk of Bias tool highlighted that most included studies were rated as having an overall “unclear” risk of bias. Key methodological aspects such as sequence generation, allocation concealment, random housing, and blinding of investigators or outcome assessors were seldom reported. Even in more recent studies, including those assessing GAERS and pharmacological interventions, details on randomization and blinding were often absent or ambiguous. Therefore, while our review synthesizes available findings on cognition in genetic epilepsy models, the interpretability and generalizability of these results remain constrained by methodological shortcomings in the primary studies. Together, these considerations highlight the complexity of drawing broad translational conclusions and emphasize the importance of syndrome-specific and methodologically rigorous future studies.

5 Conclusion

This systematic review comprehensively examine the cognitive and behavioral impairments across rodent models of GE, highlighting both common features and syndrome-specific differences. While many models effectively recapitulate deficits observed in patients, outcomes vary depending on mutation, strain, and age, reflecting the heterogeneity of GE. Our quality assessment revealed significant reporting gaps, with most studies rated as having an “unclear” risk of bias, underscoring the need for more rigorous and transparent experimental designs. Despite these limitations, rodent models remain indispensable for studying seizure-related and gene-driven contributions to cognitive decline. This review provides a foundation for future syndrome-specific studies and encourages the use of diverse animal models to better elucidate the mechanisms underlying cognitive comorbidities in genetic epilepsy.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

RF: Formal Analysis, Methodology, Writing – original draft, Writing – review and editing. IC: Formal Analysis, Methodology, Writing – original draft, Writing – review and editing. AA: Writing – review and editing, Conceptualization, Supervision. VL: Conceptualization, Supervision, Writing – review and editing, Formal Analysis, Methodology, Project administration, Writing – original draft.

Funding

The author(s) declared that financial support was not received for this work and/or its publication.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The reviewer EA declared a past co-authorship with the author AA to the handling editor at the time of review.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. Generative AI tools were used minimally in the preparation of this manuscript. Their use was limited to language editing and improving clarity of expression. All scientific content, analysis, and interpretation were developed solely by the authors. The integrity and originality of the research and critical thinking presented in this manuscript remain entirely the work of the authors.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Aguilar, B. L., Malkova, L., N’Gouemo, P., and Forcelli, P. A. (2018). Genetically epilepsy-prone rats display anxiety-like behaviors and neuropsychiatric comorbidities of epilepsy. Front. Neurol. 9, 476. doi:10.3389/fneur.2018.00476

PubMed Abstract | CrossRef Full Text | Google Scholar

Aldenkamp, A. P., and Arends, J. (2004). Effects of epileptiform EEG discharges on cognitive function: is the concept of “transient cognitive impairment” still valid? Epilepsy and Behavior E&B 5 (Suppl. 1), S25–S34. doi:10.1016/j.yebeh.2003.11.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Anwar, A., Saleem, S., Patel, U. K., Arumaithurai, K., and Malik, P. (2019). Dravet syndrome: an overview. Cureus 11, e5006. doi:10.7759/cureus.5006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bender, A. C., Morse, R. P., Scott, R. C., Holmes, G. L., and Lenck-Santini, P. P. (2012). SCN1A mutations in Dravet syndrome: impact of interneuron dysfunction on neural networks and cognitive outcome. Epilepsy Behav. 23 (3), 177–186. doi:10.1016/j.yebeh.2011.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Bender, A. C., Luikart, B. W., and Lenck-Santini, P. P. (2016). Cognitive deficits associated with Nav1.1 alterations: involvement of neuronal firing dynamics and oscillations. PLoS One 11 (3), e0151538. doi:10.1371/journal.pone.0151538

PubMed Abstract | CrossRef Full Text | Google Scholar

Bodnoff, S. R., Suranyi-Cadotte, B., Aitken, D. H., Quirion, R., and Meaney, M. J. (1988). The effects of chronic antidepressant treatment in an animal model of anxiety. Psychopharmacology 95 (3), 298–302. doi:10.1007/BF00181937

PubMed Abstract | CrossRef Full Text | Google Scholar

Boiko, T., Van Wart, A., Caldwell, J. H., Levinson, S. R., Trimmer, J. S., and Matthews, G. (2003). Functional specialization of the axon initial segment by isoform-specific sodium channel targeting. J. Neurosci. 23 (6), 2306–2313. doi:10.1523/jneurosci.23-06-02306.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Coenen, A. M., and Van Luijtelaar, E. L. (2003). Genetic animal models for absence epilepsy: a review of the WAG/Rij strain of rats. Behav. Genet. 33 (6), 635–655. doi:10.1023/a:1026179013847

PubMed Abstract | CrossRef Full Text | Google Scholar

Cwetsch, A. W., Ziogas, I., Narducci, R., Savardi, A., Bolla, M., Pinto, B., et al. (2022). A rat model of a focal mosaic expression of PCDH19 replicates human brain developmental abnormalities and behaviours. Brain Commun. 4 (3), fcac091. doi:10.1093/braincomms/fcac091

PubMed Abstract | CrossRef Full Text | Google Scholar

Dailey, J. W., Mishra, P. K., Ko, K. H., Penny, J. E., and Jobe, P. C. (1992). Serotonergic abnormalities in the central nervous system of seizure-naive genetically epilepsy-prone rats. Life Sci. 50 (4), 319–326. doi:10.1016/0024-3205(92)90340-U

PubMed Abstract | CrossRef Full Text | Google Scholar

Datta, A. N., Crawford, J., Wallbank, L., and Wong, P. K. H. (2023). Outcome of absence epilepsy with onset at 8-11 years of age: watershed ages when syndromes overlap. J. Child Neurology 38 (8-9), 505–512. doi:10.1177/08830738231188397

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, J., Li, X., Tian, H., Wang, L., Guo, B., Wang, Y., et al. (2021). SCN1A mutation-beyond Dravet syndrome: a systematic review and narrative synthesis. Front. Neurol. 12, 743726. doi:10.3389/fneur.2021.743726

PubMed Abstract | CrossRef Full Text | Google Scholar

Dutton, S. B. B., Dutt, K., Papale, L. A., Helmers, S., Goldin, A. L., and Escayg, A. (2017). Early-life febrile seizures worsen adult phenotypes in Scn1a mutants. Exp. Neurol. 293, 159–171. doi:10.1016/j.expneurol.2017.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Dwyer, T. A., Servatius, R. J., and Pang, K. C. (2007). Noncholinergic lesions of the medial septum impair sequential learning of different spatial locations. J. Neurosci. 27 (2), 299–303. doi:10.1523/jneurosci.4189-06.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Fedosova, E., Sarkisova, K. Y., Kudrin, V., Narkevich, V., and Bazyan, A. (2015). Behavioral and neurochemical characteristics of two months old WAG/Rij rats with genetic absence epilepsy. Intern. J. Clin. exper. Neurol. 3 (2), 32–44. doi:10.12691/IJCEN-3-2-2

CrossRef Full Text | Google Scholar

Fisher, R. S., Acevedo, C., Arzimanoglou, A., Bogacz, A., Cross, J. H., Elger, C. E., et al. (2014). ILAE official report: a practical clinical definition of epilepsy. Epilepsia 55 (4), 475–482. doi:10.1111/epi.12550

PubMed Abstract | CrossRef Full Text | Google Scholar

Fisher, R. S., Cross, J. H., French, J. A., Higurashi, N., Hirsch, E., Jansen, F. E., et al. (2017). Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE commission for classification and terminology. Epilepsia 58 (4), 522–530. doi:10.1111/epi.13670

PubMed Abstract | CrossRef Full Text | Google Scholar

Gee, D. G., Humphreys, K. L., Flannery, J., Goff, B., Telzer, E. H., Shapiro, M., et al. (2013). A developmental shift from positive to negative connectivity in human amygdala–prefrontal circuitry. J. Neurosci. 33 (10), 4584–4593. doi:10.1523/JNEUROSCI.3446-12.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Getova, D., Bowery, N. G., and Spassov, V. (1997). Effects of GABAB receptor antagonists on learning and memory retention in a rat model of absence epilepsy. Eur. J. Pharmacol. 320 (1), 9–13. doi:10.1016/S0014-2999(96)00877-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Gheyara, A. L., Ponnusamy, R., Djukic, B., Craft, R. J., Ho, K., Guo, W., et al. (2014). Tau reduction prevents disease in a mouse model of Dravet syndrome. Ann. Neurol. 76 (3), 443–456. doi:10.1002/ana.24230

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayashi, S., Inoue, Y., Hattori, S., Kaneko, M., Shioi, G., Miyakawa, T., et al. (2017). Loss of X-linked Protocadherin-19 differentially affects the behavior of heterozygous female and hemizygous male mice. Sci. Rep. 7 (1), 5801. doi:10.1038/s41598-017-06374-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, G. L. (2015). Cognitive impairment in epilepsy: the role of network abnormalities. Epileptic Disord. 17 (2), 101–116. doi:10.1684/epd.2015.0739

PubMed Abstract | CrossRef Full Text | Google Scholar

Hörtnagl, H., Tasan, R. O., Wieselthaler, A., Kirchmair, E., Sieghart, W., and Sperk, G. (2013). Patterns of mRNA and protein expression for 12 GABAA receptor subunits in the mouse brain. Neuroscience 236, 345–372. doi:10.1016/j.neuroscience.2013.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoshina, N., Johnson-Venkatesh, E. M., Hoshina, M., and Umemori, H. (2021). Female-specific synaptic dysfunction and cognitive impairment in a mouse model of PCDH19 disorder. Science 372 (6539), eaaz3893. doi:10.1126/science.aaz3893

PubMed Abstract | CrossRef Full Text | Google Scholar

Ito, S., Ogiwara, I., Yamada, K., Miyamoto, H., Hensch, T. K., Osawa, M., et al. (2013). Mouse with Nav1.1 haploinsufficiency, a model for Dravet syndrome, exhibits lowered sociability and learning impairment. Neurobiol. Dis. 49, 29–40. doi:10.1016/j.nbd.2012.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Jafarian, M., Karimzadeh, F., Alipour, F., Attari, F., Lotfinia, A. A., Speckmann, E. J., et al. (2015). Cognitive impairments and neuronal injury in different brain regions of a genetic rat model of absence epilepsy. Neuroscience 298, 161–170. doi:10.1016/j.neuroscience.2015.04.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, N. C., Salzberg, M. R., Kumar, G., Couper, A., Morris, M. J., and O’Brien, T. J. (2008). Elevated anxiety and depressive-like behavior in a rat model of genetic generalized epilepsy suggesting common causation. Exp. Neurol. 209 (1), 254–260. doi:10.1016/j.expneurol.2007.09.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Karson, A., Utkan, T., Balcı, F., Arıcıoğlu, F., and Ateş, N. (2012). Age-dependent decline in learning and memory performances of WAG/Rij rat model of absence epilepsy. Behav. Brain Funct. 8, 51. doi:10.1186/1744-9081-8-51

PubMed Abstract | CrossRef Full Text | Google Scholar

Khalife, M. R., Scott, R. C., and Hernan, A. E. (2022). Mechanisms for cognitive impairment in epilepsy: moving beyond seizures. Front. Neurology 13, 878991. doi:10.3389/fneur.2022.878991

PubMed Abstract | CrossRef Full Text | Google Scholar

Lena, I., and Mantegazza, M. (2019). Na(V)1.2 haploinsufficiency in Scn2a knock-out mice causes an autistic-like phenotype attenuated with age. Sci. Rep. 9 (1), 12886. doi:10.1038/s41598-019-49392-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Lenck-Santini, P. P., and Scott, R. C. (2015). Mechanisms responsible for cognitive impairment in epilepsy. Cold Spring Harb. Perspect. Med. 5 (10), a022772. doi:10.1101/cshperspect.a022772

PubMed Abstract | CrossRef Full Text | Google Scholar

Leo, A., Citraro, R., Tallarico, M., Iannone, M., Fedosova, E., Nesci, V., et al. (2019). Cognitive impairment in the WAG/Rij rat absence model is secondary to absence seizures and depressive-like behavior. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 94, 109652. doi:10.1016/j.pnpbp.2019.109652

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, J., Ryu, J., Kang, S., Noh, H. J., and Kim, C. H. (2019). Autism-like behaviors in male mice with a Pcdh19 deletion. Mol. Brain 12 (1), 95. doi:10.1186/s13041-019-0519-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Marescaux, C., Vergnes, M., and Depaulis, A. (1992). Genetic absence epilepsy in rats from Strasbourg--a review. J. Neural Transm. Suppl. 35, 37–69. doi:10.1007/978-3-7091-9206-1_4

PubMed Abstract | CrossRef Full Text | Google Scholar

Marks, W. N., Cain, S. M., Snutch, T. P., and Howland, J. G. (2016a). The T-type calcium channel antagonist Z944 rescues impairments in crossmodal and visual recognition memory in genetic absence epilepsy rats from Strasbourg. Neurobiol. Dis. 94, 106–115. doi:10.1016/j.nbd.2016.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Marks, W. N., Cavanagh, M. E., Greba, Q., Cain, S. M., Snutch, T. P., and Howland, J. G. (2016b). The genetic absence epilepsy rats from Strasbourg model of absence epilepsy exhibits alterations in fear conditioning and latent inhibition consistent with psychiatric comorbidities in humans. Eur. J. Neurosci. 43 (1), 25–40. doi:10.1111/ejn.13110

PubMed Abstract | CrossRef Full Text | Google Scholar

Marks, W. N., Zabder, N. K., Greba, Q., Cain, S. M., Snutch, T. P., and Howland, J. G. (2019). The T-type calcium channel blocker Z944 reduces conditioned fear in genetic absence epilepsy rats from Strasbourg and the non-epileptic control strain. Eur. J. Neurosci. 50 (6), 3046–3059. doi:10.1111/ejn.14406

PubMed Abstract | CrossRef Full Text | Google Scholar

Mendez-David, I., Boursier, C., Domergue, V., Colle, R., Falissard, B., Corruble, E., et al. (2017). Differential peripheral proteomic biosignature of fluoxetine response in a mouse model of anxiety/depression. Front. Cell Neurosci. 11, 237. doi:10.3389/fncel.2017.00237

PubMed Abstract | CrossRef Full Text | Google Scholar

Moncayo, J. A., Ayala, I. N., Argudo, J. M., Aguirre, A. S., Parwani, J., Pachano, A., et al. (2022). Understanding protein Protocadherin-19 (PCDH19) syndrome: a literature review of the pathophysiology. Cureus 14 (6), e25808. doi:10.7759/cureus.25808

PubMed Abstract | CrossRef Full Text | Google Scholar

Moreno-Castilla, P., Guzman-Ramos, K., and Bermudez-Rattoni, F. (2018). “Object recognition and object location recognition memory – the role of dopamine and noradrenaline,” in Handbook of object novelty recognition, 403–413. doi:10.1016/b978-0-12-812012-5.00028-8

CrossRef Full Text | Google Scholar

Novak, A., Vizjak, K., and Rakusa, M. (2022). Cognitive impairment in people with epilepsy. J. Clin. Med. 11 (1), 267. doi:10.3390/jcm11010267

PubMed Abstract | CrossRef Full Text | Google Scholar

Nwosu, G. I., Shen, W., Zavalin, K., Poliquin, S., Randhave, K., Flamm, C., et al. (2023). GABA(A) receptor beta3 subunit mutation N328D heterozygous Knock-in mice have lennox-gastaut syndrome. Int. J. Mol. Sci. 24 (9), 8458. doi:10.3390/ijms24098458

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogiwara, I., Miyamoto, H., Tatsukawa, T., Yamagata, T., Nakayama, T., Atapour, N., et al. (2018). Nav1. 2 haplodeficiency in excitatory neurons causes absence-like seizures in mice. Commun. Biology 1 (1), 96. doi:10.1038/s42003-018-0099-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pang, K. C., Jiao, X., Sinha, S., Beck, K. D., and Servatius, R. J. (2011). Damage of GABAergic neurons in the medial septum impairs spatial working memory and extinction of active avoidance: effects on proactive interference. Hippocampus 21 (8), 835–846. doi:10.1002/hipo.20799

PubMed Abstract | CrossRef Full Text | Google Scholar

Phillips, A. M., Kim, T., Vargas, E., Petrou, S., and Reid, C. A. (2014). Spike-and-wave discharge mediated reduction in hippocampal HCN1 channel function associates with learning deficits in a genetic mouse model of epilepsy. Neurobiol. Dis. 64, 30–35. doi:10.1016/j.nbd.2013.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Pobbe, R. L., Defensor, E. B., Pearson, B. L., Bolivar, V. J., Blanchard, D. C., and Blanchard, R. J. (2011). General and social anxiety in the BTBR T+ tf/J mouse strain. Behav. Brain Res. 216 (1), 446–451. doi:10.1016/j.bbr.2010.08.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Powell, K. L., Cain, S. M., Ng, C., Sirdesai, S., David, L. S., Kyi, M., et al. (2009). A Cav3.2 T-type calcium channel point mutation has splice-variant-specific effects on function and segregates with seizure expression in a polygenic rat model of absence epilepsy. J. Neurosci. 29 (2), 371–380. doi:10.1523/jneurosci.5295-08.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Powell, K. L., Tang, H., Ng, C., Guillemain, I., Dieuset, G., Dezsi, G., et al. (2014). Seizure expression, behavior, and brain morphology differences in colonies of genetic absence epilepsy rats from Strasbourg. Epilepsia 55 (12), 1959–1968. doi:10.1111/epi.12840

PubMed Abstract | CrossRef Full Text | Google Scholar

Qu, S., Catron, M., Zhou, C., Janve, V., Shen, W., Howe, R. K., et al. (2020). GABA(A) receptor beta3 subunit mutation D120N causes lennox-gastaut syndrome in knock-in mice. Brain Commun. 2 (1), fcaa028. doi:10.1093/braincomms/fcaa028

PubMed Abstract | CrossRef Full Text | Google Scholar

Qu, S., Jackson, L. G., Zhou, C., Shen, D., Shen, W., Nwosu, G., et al. (2023). Heterozygous GABA(A) receptor beta3 subunit N110D knock-in mice have epileptic spasms. Epilepsia 64 (4), 1061–1073. doi:10.1111/epi.17470

PubMed Abstract | CrossRef Full Text | Google Scholar

Russo, E., Citraro, R., Davoli, A., Gallelli, L., Di Paola, E. D., and De Sarro, G. (2013). Ameliorating effects of aripiprazole on cognitive functions and depressive-like behavior in a genetic rat model of absence epilepsy and mild-depression comorbidity. Neuropharmacology 64, 371–379. doi:10.1016/j.neuropharm.2012.06.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Salgueiro-Pereira, A. R., Duprat, F., Pousinha, P. A., Loucif, A., Douchamps, V., Regondi, C., et al. (2019). A two-hit story: seizures and genetic mutation interaction sets phenotype severity in SCN1A epilepsies. Neurobiol. Dis. 125, 31–44. doi:10.1016/j.nbd.2019.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Samanta, D. (2020). PCDH19-related epilepsy syndrome: a comprehensive clinical review. Pediatr. Neurol. 105, 3–9. doi:10.1016/j.pediatrneurol.2019.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarkisova, K., and van Luijtelaar, G. (2011). The WAG/Rij strain: a genetic animal model of absence epilepsy with comorbidity of depressiony. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 35 (4), 854–876. doi:10.1016/j.pnpbp.2010.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Scheffer, I. E., Berkovic, S., Capovilla, G., Connolly, M. B., French, J., Guilhoto, L., et al. (2017). ILAE classification of the epilepsies: position paper of the ILAE commission for classification and terminology. Epilepsia 58 (4), 512–521. doi:10.1111/epi.13709

PubMed Abstract | CrossRef Full Text | Google Scholar

Silverman, J. L., Yang, M., Turner, S. M., Katz, A. M., Bell, D. B., Koenig, J. I., et al. (2010). Low stress reactivity and neuroendocrine factors in the BTBR T+ tf/J mouse model of autism. Neuroscience 171 (4), 1197–1208. doi:10.1016/j.neuroscience.2010.09.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Simmons, D. (2008). The use of animal models in studying genetic disease: transgenesis and induced mutation. Nat. Educ. 1 (1), 70.

Google Scholar

Sitnikova, E. (2024). Behavioral and cognitive comorbidities in genetic rat models of absence epilepsy (focusing on GAERS and WAG/Rij rats). Biomedicines 12 (1), 122. doi:10.3390/biomedicines12010122

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, K. M., Britton, J. W., and Cascino, G. D. (2018). Late-onset lennox-gastaut syndrome. Neurol. Clin. Pract. 8 (5), 397–402. doi:10.1212/cpj.0000000000000527

PubMed Abstract | CrossRef Full Text | Google Scholar

Staley, K. (2015). Molecular mechanisms of epilepsy. Nat. Neurosci. 18 (3), 367–372. doi:10.1038/nn.3947

PubMed Abstract | CrossRef Full Text | Google Scholar

Steinlein, O. K. (2004). Genetic mechanisms that underlie epilepsy. Nat. Rev. Neurosci. 5 (5), 400–408. doi:10.1038/nrn1388

PubMed Abstract | CrossRef Full Text | Google Scholar

Steinlein, O. K. (2008). Genetics and epilepsy. Dialogues Clin. Neurosci. 10 (1), 29–38. doi:10.31887/DCNS.2008.10.1/oksteinlein

PubMed Abstract | CrossRef Full Text | Google Scholar

Stroink, H., Brouwer, O. F., Arts, W. F., Geerts, A. T., Peters, A. C., and van Donselaar, C. A. (1998). The first unprovoked, untreated seizure in childhood: a hospital based study of the accuracy of the diagnosis, rate of recurrence, and long term outcome after recurrence. Dutch study of epilepsy in childhood. J. Neurol. Neurosurg. Psychiatry 64 (5), 595–600. doi:10.1136/jnnp.64.5.595

PubMed Abstract | CrossRef Full Text | Google Scholar

Talley, E. M., Solórzano, G., Depaulis, A., Perez-Reyes, E., and Bayliss, D. A. (2000). Low-voltage-activated calcium channel subunit expression in a genetic model of absence epilepsy in the rat. Mol. Brain Res. 75 (1), 159–165. doi:10.1016/S0169-328X(99)00307-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Vadlamudi, L., Milne, R. L., Lawrence, K., Heron, S. E., Eckhaus, J., Keay, D., et al. (2014). Genetics of epilepsy: the testimony of twins in the molecular era. Neurology 83 (12), 1042–1048. doi:10.1212/WNL.0000000000000790

PubMed Abstract | CrossRef Full Text | Google Scholar

van Luijtelaar, G. (2011). The prevention of behavioral consequences of idiopathic generalized epilepsy: evidence from rodent models. Neurosci. Lett. 497(3), 177–184. doi:10.1016/j.neulet.2011.02.034

PubMed Abstract | CrossRef Full Text | Google Scholar

van Luijtelaar, E. L., Ates, N., and Coenen, A. M. (1995). Role of L-type calcium channel modulation in nonconvulsive epilepsy in rats. Epilepsia 36 (1), 86–92. doi:10.1111/j.1528-1157.1995.tb01671.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Vargas-López, V., Torres-Berrio, A., González-Martínez, L., Múnera, A., and Lamprea, M. R. (2015). Acute restraint stress and corticosterone transiently disrupts novelty preference in an object recognition task. Behav. Brain Res. 291, 60–66. doi:10.1016/j.bbr.2015.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Lin, Z. J., Liu, L., Xu, H. Q., Shi, Y. W., Yi, Y. H., et al. (2017). Epilepsy-associated genes. Seizure 44, 11–20. doi:10.1016/j.seizure.2016.11.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Winters, B. D., and Reid, J. M. (2010). A distributed cortical representation underlies crossmodal object recognition in rats. J. Neurosci. 30 (18), 6253–6261. doi:10.1523/jneurosci.6073-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Yi, Y. Z. C., and Wei-Wei, H. (2023). The long-term neurodevelopmental outcomes of febrile seizures and underlying mechanisms. Front. Cell Dev. Biol. 25 (11), 1186050. doi:10.3389/fcell.2023.1186050

CrossRef Full Text | Google Scholar

Zupanc, M. L. (2003). Infantile spasms. Expert Opin. Pharmacother. 4 (11), 2039–2048. doi:10.1517/14656566.4.11.2039

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Animal model, cognitive impairment, genetic, epilepsy, rodent

Citation: Foo RYN, Chiew IJL, Arulsamy A and Lee VLL (2026) Rodent models of genetic epilepsy and its association with neurocognitive impairment- a systematic review. Front. Pharmacol. 16:1659569. doi: 10.3389/fphar.2025.1659569

Received: 04 July 2025; Accepted: 15 December 2025;
Published: 09 January 2026.

Edited by:

Hua-Jun Feng, Massachusetts General Hospital and Harvard Medical School, United States

Reviewed by:

Victor Rodrigues Santos, Federal University of Minas Gerais, Brazil
Enes Akyuz, University of Wisconsin-Madison, United States

Copyright © 2026 Foo, Chiew, Arulsamy and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Vanessa Lin Lin Lee, dmFuZXNzYWxlZWxpbmxpbkBnbWFpbC5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.