Summary
Despite extensive temporal lobe epilepsy (TLE) research, understanding the specific limbic structures’ roles in seizures remains limited. This weakness can be attributed to the complex nature of TLE and the existence of various TLE subsyndromes, including non-lesional TLE. Conventional TLE models like kainate and pilocarpine hinder precise assessment of the role of individual limbic structures in TLE ictogenesis due to widespread limbic damage induced by the initial status epilepticus. In this study, we used a non-lesional TLE model characterized by the absence of initial status and cell damage to determine the spatiotemporal profile of seizure initiation and limbic structure recruitment in TLE. Epilepsy was induced by injecting a minute dose of tetanus toxin into the right dorsal hippocampus in seven animals. Following injection, animals were implanted with bipolar recording electrodes in the amygdala, dorsal hippocampus, ventral hippocampus, piriform, perirhinal, and entorhinal cortices of both hemispheres. The animals were video-EEG monitored for four weeks. In total, 140 seizures (20 seizures per animal) were analyzed. The average duration of each seizure was 53.2±3.9 s. Seizure could initiate in any limbic structure. Most seizures initiated in the ipsilateral (41 %) and contralateral (18 %) ventral hippocampi. These two structures displayed a significantly higher probability of seizure initiation than by chance. The involvement of limbic structures in seizure initiation varied between individual animals. Surprisingly, only 7 % of seizures initiated in the injected dorsal hippocampus. The limbic structure recruitment into the seizure activity wasn’t random and displayed consistent patterns of early recruitment of hippocampi and entorhinal cortices. Although ventral hippocampus represented the primary seizure onset zone, the study demonstrated the involvement of multiple limbic structures in seizure initiation in a non-lesional TLE model. The study also revealed the dichotomy between the primary epileptogenic lesion and main seizure onset zones and points to the central role of ventral hippocampi in temporal lobe ictogenesis.
Keywords: Temporal lobe epilepsy, Hippocampus, Entorhinal cortex, Seizure onset, Neural networks
Introduction
Epilepsy represents a cerebral network disorder where seizures emerge from complex interactions between the components of the epileptic network rather than from one specific brain region [1,2]. In temporal lobe epilepsy (TLE), the limbic structures and their connections with other brain areas represent the crucial components of the abnormal epileptic networks. The large interconnectivity of limbic structures plays a crucial role in physiological functions, and limbic connectivity alterations represent a structural substrate contributing to high epileptogenicity and ictogenicity of the limbic system [3]. In TLE, the multiple limbic structures of both hemispheres become involved in the genesis of interictal and ictal activity. TLE is classified into various subsyndromes in humans according to the level of involvement of individual limbic structures that also determine the outcome of epilepsy surgery [4,5]. The hippocampus is the most prominent limbic structure involved in TLE, and hippocampal sclerosis is one of the most common epileptogenic lesions and the most common source of seizures in TLE [6]. Seizure onsets can occur in entorhinal cortex, amygdala, or piriform cortex but less frequently than in the hippocampus [5]. The degree of involvement of individual limbic structures varies between patients but also within individuals. Human and animal studies demonstrate that multiple limbic structures can be involved in seizure genesis in the same patient or animals, and seizure onset can change in the long term [1,7–9]. The high seizure onset variability explains why epilepsy surgery fails to provide seizure freedom in a significant proportion of patients with temporal lobe epilepsy. Non-lesional TLE is the most challenging form of TLE from the clinical perspective [10]. The absence of epileptogenic lesions in MRI (hippocampal or mesiotemporal lobe sclerosis, low-grade tumor) prevents the non-invasive identification of the plausible seizure onset zone. Therefore, patients with non-lesional TLE often undergo invasive exploration with intracranial electrodes to map the epileptic network and identify the most epileptogenic structures [11]. Despite advances in presurgical diagnostics, the success rate of post-surgical freedom remains less than optimal [10]. Experimental knowledge on the organization of TLE networks and the pathophysiology of TLE was obtained mainly from the status epilepticus models induced by pilocarpine or kainic acid models [12–17]. It is well documented that prolonged status epilepticus causes severe structural damage (cell loss, axonal sprouting, gliosis) affecting multiple limbic structures [13–16]. Multisite damage represents one of the disparities between human TLE and animal models and hinders the precise evaluation of individual limbic structure contributions to the TLE network [18].
The experimental model of non-lesional TLE induced by intrahippocampal injection of a minute dose of tetanus toxin (TeNT) is characterized by the absence of initial status epilepticus and the absence of severe cell loss or hippocampal sclerosis [19,20]. In this study, we took advantage of the unique nature of the TeNT model to explore the network organization and role of limbic structures in TLE ictogenesis. The results demonstrate that seizure can initiate in multiple limbic structures despite a localized epileptogenic lesion in the dorsal hippocampus. Surprisingly, the most common seizure onset zones were the ipsilateral and contralateral ventral hippocampi, while the injected dorsal hippocampus played a minimal role in seizure initiation. Similarly to humans, the seizure onset varied between animals with various degrees of involvement of individual limbic structures in seizure genesis. The observed dichotomy between the primary lesion and principal seizure onset zone could be attributed to the ventral hippocampus’s high endogenous epileptogenic potential and interconnectivity that may predispose the ventral hippocampus to generate seizures in response to distant lesions [21–24].
Materials and Methods
TLE induction and electrode implantation
Seven adult male Wistar rats 250–400 g underwent implantation of multiple electrodes across the limbic structures, followed by long-term video-EEG monitoring. All experiments were performed under the Animal Care and Animal Protection Law of the Czech Republic, fully compatible with the European Union directive 2010/63/EU guidelines. The protocol was approved by the Ethics Committees of the Second Faculty of Medicine (Project License No. MSMT-31765/2019-4). Animals were housed in groups under standard and enriched conditions in a room with a controlled temperature (22±1 °C) and a 12/12 h light/dark cycle in open cages, enabling all but physical interaction.
Animals were anesthetized using 5 % isoflurane in a plexiglass chamber. Then, the rat was fixed in the stereotaxic apparatus, and the anesthesia was maintained by 2.5 % isoflurane, slowly decreasing to 1.5 %. TLE was induced by injection of 10 ng of tetanus toxin (Quadratech Diagnostic Ltd, Epsom, UK, No #190A) to the right CA3 region of dorsal hippocampus at the coordinates AP -4.1 mm, L 3.9 mm from bregma and D 4.2 mm from the skull surface. Recording electrodes were implanted in the key structures of the limbic system using stereotaxic atlas [25], according to Table 1. Four animals had implanted additional electrodes in the dorsal hippocampal CA3 and subiculum, which were, however, not analyzed in this study (marked by gray shading in the table).
Table 1.
Brain structure | AP | Lateral | Depth |
---|---|---|---|
Piriform cortex | 0.2 | 4.2 | 8.2 |
Amygdala | −2.8 | 4.8 | 8.6 |
Perirhinal cortex | −2.8 | 6.2 | 7.4 |
Dorsal dentate gyrus | −4.6 | 2.6 | 3.3 |
Ventral hippocampus | −5.5 | 4.8 | 7.1 |
Entorhinal cortex | −8.0 | 5.0 | 7.0 |
| |||
Dorsal CA3 | −4.1 | 4.2 | 4.4 |
Dorsal subiculum | −6.0 | 2.0 | 3.2 |
EEG recording and analysis
Following a 5-day recovery period, the animals were subjected to video-EEG monitoring for at least three weeks. Two different recording setups were used. The Neuralynx setup consisted of a headstage unity-gain amplifier HS-27 (Neuralynx, Bozeman, Montana, USA) and a Lynx-8 amplifier (Neuralynx, Bozeman, Montana, USA) set to a gain of 196, high-pass filter at 0.1 Hz and a low-pass filter at 3 kHz. The signal was then digitized using a Power 1401 analogue-digital converter (Cambridge Electronic Design, Cambridge, UK) at the sampling frequency of 10 kHz and 16-bit resolution and recorded to a computer using Spike2 software (Cambridge Electronic Design, Cambridge, UK). The synchronized video was recorded by Spike2 using a USB webcam. Signals recorded using the Intan setup were amplified, analog-filtered, and digitized by an RHD2132 headstage board (Intan Technologies, Los Angeles, California, USA). The digitized signals were transferred via swivel using the SPI bus to the RHD2000 evaluation board, which was connected to a computer via USB. The analog high-pass filter was set to 0.1 Hz and the low-pass filter to 1.7 kHz. The sampling frequency was 5 kHz, and the resolution was 16 bit. Custom-made software was used for EEG recording. The synchronized video was recorded using a USB camera.
Seizure onset detection and recruitment analysis
From each of the eight animals, we have chosen their first 20 seizures lasting >10 s for detailed evaluation of electrographic seizure onset times. Seizures and seizure onsets were visually identified in each electrode using custom-written Matlab scripts (Mathworks Inc., USA). Seizure onset was defined as the earliest appearance of a persistent and profound change in EEG background activity that developed into clear ongoing seizure activity. Electrode with the earliest signal change was marked as a seizure onset (initiation) zone. The timing of seizure onset in each electrode was used to estimate the time delays of seizure propagation and limbic structure recruitment pattern. Seizure onsets time generated a 12×20 matrix (12 structures × 20 seizure onsets) from which propagation time delays and limbic structure recruitment plots were generated. We computed the “recruitment pathway” for each seizure onset as a vector of limbic structure ranking according to observed recruitment delays. Recruitment pathways were then compared to random pathways to assess significance.
Statistical analysis
Unless otherwise stated, all results and graphs are shown as mean ± s.e.m (median). All tests used level α=0.05 to determine the statistical significance. No data points were excluded. We did not implement any statistical approach to a priori define the sample size, but it corresponds to sample sizes that are generally used in this field of research.
Measured seizure onset frequencies were first compared to uniform frequencies using a one-way chi-square test, followed by an analysis of confidence intervals.
The PERMANOVA method of 10000 iterations was used in the recruitment analysis to determine the statistical significance of dissimilarity between observed and random recruitment pathways. The dissimilarity was evaluated utilizing Kendall’s Tau rank correlation as the distance metric. Recorded data and analytical tools used in this study are available from the corresponding author upon request.
Results
TeNT epileptic syndrome
All seven animals developed an epileptic syndrome characterized by recurrent spontaneous seizures (Fig. 1A). Seizures were behaviorally accompanied by staring, loss of awareness, and facial automatisms (sniffing, chewing; Racine scale 1–2) [26]. The seizure could progress further into a convulsive phase accompanied by motor phenomena ranging from forelimb clonus to rearing and ictal falling (Racine scale 3–5). A substantial number of seizures were electrographic without any apparent change in the animal’s behavior. Wet dog shakes often followed the seizure termination. During the period between seizures, interictal epileptiform discharges of various morphologies were present in recordings.
Seizure onset analysis
In total, 140 seizures from seven male rats were analyzed. The average duration of each seizure was 53.2±3.9 s. The seizure onset pattern was characterized as hypersynchronous in all seizures (Fig. 1B). It manifested by initial high-amplitude discharge (heralding spike), often with superimposed high-frequency oscillations. Spatially, the initial discharge occurred simultaneously in multiple limbic structures. Low-frequency, high-amplitude periodic spikes followed the heralding discharge. Using the onset of the heralding spike, we determined the seizure onset in each recorded limbic structure. The analysis of seizure onset and time delays between each limbic structure recruitment into ictal activity allowed us to determine the major seizure onset structures and pattern of seizure propagation in this model of temporal lobe epilepsy.
The results showed that the seizure onset structure was not stable, and seizures could initiate between five to seven limbic structures in each animal, although with various proportions of initiation (Fig. 2 and 3A). On average, 55±3 (55) % of seizures were initiated in the limbic structures of the right hemisphere (ipsilaterally to TeNT injection), while 45±3 (45) % of seizures originated in the contralateral (left) limbic structures. The ipsilateral ventral hippocampus was the main seizure onset structure, with 41±5 (40) % of seizures initiated in this structure (Fig. 3B, C). The proportion of ipsilateral ventral hippocampal seizure onsets varied from 30 % up to 60 % across the animals (Fig. 3A). Contralateral ventral hippocampus was the second most common seizure onset structure 18±3 (20) % and was above chance levels (Fig. 3B). The other limbic structures did not cross the significance of the random initiation threshold (Fig. 3B). Surprisingly, only 6±1 (5) % of seizures started from the injected right dorsal hippocampus. Dorsal and ventral hippocampi generated 75±4 (75) % of all seizures (Fig. 3B, C).
Seizure propagation and limbic structure recruitment
Because of the statistically significant difference (p<0.001, one-way chi-square test), we then focused on seizure onset propagation patterns of seizures generated only in ventral hippocampi. The ictal propagation maps of the right ventral hippocampal seizures (n=63 seizures) suggested that the seizure propagation pattern is consistent in each animal (Fig. 4A–F) and across animals (Fig. 4H). We determined the average propagation delay for each limbic structure to quantify the propagation pattern. We then ranked the recruitment of each structure (Fig. 5A). Entorhinal cortices and hippocampal subregions demonstrated the earliest recruitment. The average delay from the right ventral hippocampus to the right and left entorhinal cortex was 17±3 (9) ms and 31±4 (19) ms, respectively. The contralateral ventral and dorsal hippocampi were recruited into the seizure activity with a time delay of 29±4 (18) ms and 50±6 (29) ms. Surprisingly, the amygdalar complex wasn’t amongst the structures with the fast recruitment. The average time delay to the ipsilateral amygdala was 44±7 (23) ms, and the time delay to the contralateral amygdala was 70±10 (46) ms. The results confirmed the existence of consistent propagation pathways and a consistent sequence of limbic structures’ recruitment. To statistically evaluate this observation, we compared the observed recruitment pattern with surrogate data of random recruitment (Fig. 5B–D). The analysis demonstrated statistically significant dissimilarity between propagation pathways of seizures originating from the right ventral hippocampus (PERMANOVA, pseudo-F test statistic of 2.84, p-value of 0.011) compared to random recruitment. Propagation patterns (Fig. 4I–P), average propagation delays (Fig. 6A), and limbic structure recruitment sequence (Fig. 6B–E) of left ventral hippocampal seizures (n=28 seizures) demonstrated that they also followed the consistent paths and recruitment sequences (PERMANOVA, pseudo-F test statistic of 2.87, p-value of 0.015) that mirrored recruitment patterns of the right ventral hippocampus. The average propagation delay to the left and right entorhinal cortex was 12±2 (10) ms and 29±8 (21) ms, respectively. The contralateral ventral and dorsal hippocampi were recruited into the seizure activity with a time delay of 26±8 (15) ms and 34±6 (27) ms (Fig. 6A).
Discussion
One of the reasons behind the unsatisfactory results of TLE surgery is that the temporal lobe epileptic network can be spatially extensive, and critical components of the network can differ in each subsyndrome [1,5,27–30]. TLE networks involve multiple structures of the limbic system, ranging from the hippocampus to entorhinal and perirhinal cortices [5,31,32], the amygdala, contralateral hippocampus, cingulate gyrus, and thalamic nuclei [8,33]. Animal models and human case studies show that in TLE, the seizure can initiate in any limbic structure, even in the same animal or patient, and often, seizures can have a diffuse multi-regional onset [8,9,34,35]. Such a complex network organization explains why the current surgical treatment of TLE, targeting primarily the hippocampus, results in seizure freedom for some patients and why seizures persist even after hippocampus resection in a substantial patient population. Significantly improving the outcome of epilepsy surgery relies on a better understanding of limbic network organization in appropriate models of these TLE subsyndromes [5].
In this study, we took advantage of a unique feature of the TeNT model of non-lesional temporal lobe epilepsy to explore how spatially limited lesion (unilateral dorsal hippocampal TeNT injection) affects limbic network ictogenesis. The TeNT model is a reliable model of acquired non-lesional TLE, although genetic models of TLE epilepsy with mild or absent hippocampal damage were also reported [36]. Results showed that single-site TeNT injection leads to widespread limbic network dysfunction. In our study, the network dysfunction manifested by multisite seizure onset that varied across animals. Although the seizures could initiate in any explored limbic structure, the ipsilateral ventral hippocampus played the central role and represented the primary seizure onset zone [37,38]. Past studies that sampled only dorsal hippocampal subregions have already demonstrated widely distributed abnormal network activity in the TeNT model that was manifested mainly by bilateral interictal activity [35]. Interictal epileptiform discharges were generated in both hippocampi in all animals, and interictal discharge rates were higher in the contralateral hippocampus in 40 % of animals. Up to 27 % of seizures originated from the contralateral dorsal hippocampus [35].
The involvement of multiple structures in our model was probably attributed to the functional changes rather than structural changes and cell damage observed in status epilepticus models of TLE [14,39]. Tetanus toxin cleaves two proteins, VAMP-1 and VAMP-2, critical for synaptic transmission [40]. The area of VAMP cleavage is spatially limited to the ipsilateral dorsal hippocampus, leading to the complete absence of spontaneous and evoked inhibitory postsynaptic currents and a significant reduction in excitatory postsynaptic currents [41,42]. The altered synaptic transmission can cause local hippocampal disinhibition and induce disinhibition in distant interconnected structures of limbic circuitry. A decreased excitatory drive from the injected dorsal hippocampus can be associated with reduced feedforward inhibition in a targeted area (entorhinal cortex, contralateral hippocampus). Alternatively, dorsal hippocampal toxin injection may affect long-range inhibition provided by hippocampal interneurons projecting to remote limbic structures [43,44]. This mechanism would explain the presence of entorhinal disinhibition in the chronic epileptic entorhinal cortex that maintains the local inhibition intact [45]. In this scenario, disinhibited distant structures may become active, if not dominant, components of the epileptic network that will substantially contribute to seizure genesis [46,47]. The ventral hippocampus represents a limbic structure (see below) that may be highly susceptible to disinhibition and become the primary seizure-generating structure.
The observed dissociation between the primary molecular lesion (TeNT injection site) and the major seizure onset zone was unexpected. Our results support the central role of the ventral hippocampus in the pathogenesis of seizures of temporal lobe (limbic) origin. Functional and structural differences between dorsal and ventral hippocampus are well determined, as well as higher epileptogenicity of the ventral hippocampus [48]. Similarly to humans, the rodent hippocampus is divided into functionally distinct regions along its longitudinal axis [49,50]. The rodent ventral hippocampus is homologous to the human anterior hippocampus, the most common seizure initiation site in temporal lobe epilepsy patients [51–56]. Animal models of TLE corroborate this observed intrinsic difference in ictogenicity of ventral and dorsal hippocampal poles, but the underlying cause remains to be fully elucidated.
Ventral and dorsal hippocampus differ in their synaptic input and output and were shown to activate different networks when seizing [57]. The dorsal hippocampus receives polymodal sensory information from the cortex, whereas the ventral hippocampus is more linked to subcortical structures, such as the amygdala and hypothalamus [21]. The trisynaptic circuit of the hippocampus remains conserved along its longitudinal axis, but the circuitry exhibits quantitative differences [24,58,59]. Injection of TeNT or kainic acid into the ventral hippocampus generates a seizure phenotype that is analogous to TLE in humans [12,41,49,60]. In another widely used model of epilepsy using systemic pilocarpine injections, the subsequent seizures were also generated in the ventral hippocampus [9,61]. At a cellular level, CA1 pyramidal neurons in the ventral hippocampus are more depolarized and fire action potentials in response to significantly smaller current injections than dorsal hippocampal neurons [22]. Increased neuronal excitability could result from expression profile differences between the dorsal and ventral hippocampus. In particular, increased ventral hippocampal pyramidal neuron excitability likely relates to the differences in NMDA receptors [24], A-type and KCNQ potassium channels [22,33], different subunit composition of voltage-gated sodium channels [62], and differences in adenosine signaling [63]. An imbalance of excitatory and inhibitory neuron populations might also explain the overall changes in excitability. The loss of GABAergic ventral hippocampal interneurons correlates with the seizure frequency in a mouse model of epilepsy [64]. Similarly, in humans, TLE is associated with more significant cell loss and hippocampal sclerosis in the homologous anterior hippocampal region [13,65]. Experimentally, local pharmacological suppression of the ventral hippocampal neurons [61] or transplantation of inhibitory neurons [66] successfully reduced the seizure frequency in the systemic pilocarpine model. The ventral hippocampus also plays a pivotal role in TLE with dual pathologies cases where hippocampal sclerosis is associated with focal cortical dysplasia. It is hypothesized that the highly epileptogenic focal cortical dysplasia recruits the susceptible ventral hippocampus, becoming the primary seizure onset zone [6].
Conclusions
This study reveals the complex nature of TLE networks, highlighting the dissociation between the primary lesion and seizure onset zone that, in our observations, manifested as an unexpectedly central role of the ventral hippocampi in seizure initiation. These findings emphasize the importance of understanding the functional differences between the dorsal and ventral hippocampus and the need for a deeper understanding of the limbic network’s organization in different TLE subsyndromes.
Acknowledgements
This study was supported by grants of the Czech Science Foundation (20-25298S, 21-17564S), the Ministry of Health of the Czech Republic (NU21-08-00533, NU21-04-00601, NV18-04-00085), the Ministry of Education, Youth and Sports of the Czech Republic (EU – Next Generation EU: LX22NPO5107), and Charles University (PRIMUS 247132). The authors are grateful to CESNET for access to their data storage facility.
Footnotes
Conflict of Interest: There is no conflict of interest.
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