The review presents data which provides evidence for the internal relationship between the stages of rodent audiogenic seizures and post-ictal catalepsy with the general pattern of animal reaction to the dangerous stimuli and/or situation. The wild run stage of audiogenic seizure fit could be regarded as an intense panic reaction, and this view found support in numerous experimental data. The phenomenon of audiogenic epilepsy probably attracted the attention of physiologists as rodents are extremely sensitive to dangerous sound stimuli. The seizure proneness in this group shares common physiological characteristics and depends on animal genotype. This concept could be the new platform for the study of epileptogenesis mechanisms.

Animal models of epilepsy are of great importance in epileptology. They are used to study the mechanisms of epileptogenesis, and search for new genes and regulatory pathways involved in the development of epilepsy as well as screening new antiepileptic drugs. Today, many methods of modeling epilepsy in animals are used, including electroconvulsive, pharmacological in intact animals, and genetic, with the predisposition for spontaneous or refractory epileptic seizures. Due to the simplicity of manipulation and universality, genetic models of audiogenic epilepsy in rodents stand out among this diversity. We tried to combine data on the genetics of audiogenic epilepsy in rodents, the relevance of various models of audiogenic epilepsy to certain epileptic syndromes in humans, and the advantages of using of rodent strains predisposed to audiogenic epilepsy in current epileptology.

Neuroinflammation plays an important role in epileptogenesis, however, most studies are performed using pharmacological models of epilepsy, while there are only few data available for non-invasive, including genetic, models. The levels of a number of pro-inflammatory cytokines were examined in the Krushinsky–Molodkina (KM) rat strain with high audiogenic epilepsy (AE) proneness (intense tonic seizure fit in response to loud sound) and in the control strain “0” (not predisposed to AE) using multiplex immunofluorescence magnetic assay (MILLIPLEX map Kit). Cytokine levels were determined in the dorsal striatum tissue and in the brain stem. Background levels of IL-1β, IL-6, and TNF-α in the dorsal striatum of the KM rats were significantly lower than in the rats “0” (by 32.31, 27.84, and 38.87%, respectively, p < 0.05, 0.05, and 0.01), whereas no inter-strain differences in the levels of these metabolites were detected in the brain stem in the “background” state. Four hours after sound exposure, the TNF-α level in the dorsal striatum of the KM rats was significantly lower (by 38.34%, p < 0.01) than in the “0” rats. In the KM rats, the dorsal striatal levels of IL-1β and IL-6 were significantly higher after the sound exposure and subsequent seizure fit, compared to the background (35.29 and 50.21% increase, p < 0.05, 0.01, respectively). In the background state the IL-2 level in the KM rats was not detected, whereas after audiogenic seizures its level was 14.01 pg/ml (significant difference, p < 0.01). In the KM rats the brain stem levels of IL-1β and TNF-α after audiogenic seizures were significantly lower than in the background (13.23 and 23.44% decrease, respectively, p < 0.05). In the rats of the “0” strain, the levels of cytokines in the dorsal striatum after the action of sound (which did not induce AE seizures) were not different from those of the background, while in the brain stem of the “0” strain the levels of IL-1β were lower than in the background (40.28%, p < 0.01). Thus, the differences between the background levels of cytokines and those after the action of sound were different in the rats with different proneness to AE. These data suggest involvement of the analyzed cytokines in pathophysiology of the seizure state, namely in AE seizures.

Learning difficulties are a fairly common comorbid complication in patients diagnosed with epilepsy. The relationship between the predisposition to epilepsy and the ability to learn is an important problem. The aim of the study was to analyze how the learning capacity differs in rats with different predispositions to reflex audiogenic epilepsy (AE). The success of active avoidance (AAC) conditioning in the shuttle box in rats of 3 strains was evaluated. These were rats predisposed to audiogenic epilepsy—the Krushinsky–Molodkina strain (KM), strain “4” (selected from a population of F2 hybrids of the KM strain and AE non-prone Wistars) and rats of “0” strain, selected for the absence of AE from the same population (i.e. these strains differ radically in AE-proneness, but have a similar genetic background). The training was conducted continuously for 5 days (20 presentations per day). Experiments have shown significantly more successful acquisition of this skill in rats of the “0” strain: in total, 75% of animals reached the learning criteria for 5 days of AAC training (70% AAC per day). The “4” strain rats indices were intermediate—41.7%, and only 1 from the 12 rats of the KM strain (8.3%) acquired the task according to this protocol. Thus, it was possible to identify more successful learning in rats, selected for the absence of AE seizures (strain “0”) compared to rats of the KM and “4” strains (expressing tonic seizures of maximum intensity in response to sound exposure). The weakest acquisition was revealed in the KM strain, in which the selection process duration for AE proneness was significantly longer than in the rats of the “4” strain.