Temporal Lobe Epilepsy Group Research Articles

Olfactory Dysfunction and Limbic Hypoactivation in Temporal Lobe Epilepsy.

The epileptogenic network in temporal lobe epilepsy (TLE) contains structures of the primary and secondary olfactory cortex such as the piriform and entorhinal cortex, the amygdala, and the hippocampus. Olfactory auras and olfactory dysfunction are relevant symptoms of TLE. This study aims to characterize olfactory function in TLE using olfactory testing and olfactory functional magnetic resonance imaging (fMRI). We prospectively enrolled 20 individuals with unilateral TLE (age 45 ± 20 years [mean ± SD], 65% female, 90% right-handed) and 20 healthy individuals (age 33 ± 15 years [mean ± SD], 35% female, 90% right-handed). In the TLE group, the presumed seizure onset zone was left-sided in 75%; in 45% of the individuals with TLE limbic encephalitis was the presumed etiology; and 15% of the individuals with TLE reported olfactory auras. Olfactory function was assessed with a Screening Sniffin' Sticks Test (Burkhart, Wedel, Germany) during a pre-assessment. During a pre-testing, all individuals were asked to rate the intensity, valence, familiarity, and associated memory of five different odors (eugenol, vanillin, phenethyl alcohol, decanoic acid, valeric acid) and a control solution. During the fMRI experiment, all individuals repeatedly smelled eugenol (positively valenced odor), valeric acid (negatively valenced odor), and the control solution and were asked to rate odor intensity on a five-point Likert scale. We acquired functional EPI sequences and structural images (T1, T2, FLAIR). Compared to healthy individuals, individuals with TLE rated the presented odors as more neutral (two-sided Mann-Whitney U tests, FDR-p < 0.05) and less familiar (two-sided Mann-Whitney U tests, FDR-p < 0.05). fMRI data analysis revealed a reduced response contrast in secondary olfactory areas (e.g., hippocampus) connected to the limbic system when comparing eugenol and valeric acid in individuals with TLE when compared with healthy individuals. However, no lateralization effect was obtained when calculating a lateralization index by the number of activated voxels in the olfactory system (two-sided Mann-Whitney U test; U = 176.0; p = 0.525). TLE is characterized by olfactory dysfunction and associated with hypoactivation of secondary olfactory structures connected to the limbic system. These findings contribute to our understanding of the pathophysiology of TLE. This study was preregistered on OSF Registries (www.osf.io).

Abnormal Weakening of DNA Methylation around the SLC6A1 Gene Promoter in Temporal Lobe Epilepsy.

The solute carrier (SLC) superfamily, which transports solutes across biological membranes, includes four members (SLC2A1, SLC6A1, SLC9A64, and SLC35A2) that have been linked to epilepsy. This study sought to examine the DNA methylation patterns near the promoters of these genes in temporal lobe epilepsy (TLE), as DNA methylation is a crucial epigenetic modification that can impact gene expression. The study comprised 38 individuals with TLE and 38 healthy controls. Methylation experiments were performed using peripheral blood, while demethylation experiments were carried out using SH-SY5Y cells with the DNA methylation inhibitor decitabine. A significant difference was observed in the DNA methylation rate of SLC6A1 between TLE patients and controls, with TLE patients showing a lower rate (4.81% vs. 5.77%, p = 0.0000), which remained significant even after Bonferroni correction (p = 0.0000). Based on the hypomethylated SLC6A1 in TLE, a predictive model was established that showed promise in distinguishing and calibrating TLE. In the TLE group, there were differences in DNA methylation rates of SLC6A1 between the young patients and the older controls (4.42% vs. 5.22%, p = 0.0004). A similar trend (p = 0.0436) was noted after adjusting for sex, age at onset, and drug response. In addition, the study found that DNA methylation had a silencing impact on the expression of the SLC6A1 gene in SH-SY5Y cells, which were treated with decitabine at a set dose gradient. The evidence suggests that lower methylation of SLC6A1 may stimulate transcription in TLE, however, further investigation is necessary to confirm the exact mechanism.

Astrocytic connexin 43‐hemichannels aggravate seizures by modulating blood‐brain barrier permeability in temporal lobe epilepsy mice

AbstractThe involvement of astrocytic connexin 43 (Cx43) in epileptogenesis has been extensively studied through various approaches, yet the underlying mechanism remains enigmatic. In this study, we explored whether astrocytic Cx43 forms hemichannels (HCs) that contribute to seizure progression in temporal lobe epilepsy (TLE) in mice. We focused on how these HCs influence the permeability of the blood‐brain barrier (BBB), a crucial factor in the pathophysiology of epilepsy. Immunofluorescence staining and western blot analysis were employed to assess Cx43 expression in kainic acid‐induced TLE mice, while BBB permeability was evaluated in TLE mice and those treated with TAT‐Gap19 (an astrocytic Cx43 HC inhibitor) using Evans Blue permeation, serum S100β protein quantification, ZO‐1 expression, and albumin extravasation into brain parenchyma via western blotting. Furthermore, seizure burden was monitored continuously using telemetric electroencephalography (EEG) and video monitoring in epileptic and TAT‐Gap19‐treated mice. Results demonstrated a significant increase in Cx43 content in hippocampal tissue in the TLE group, with a pronounced expression around blood vessels. TAT‐GAP19 treatment alleviated EEG seizures and BBB permeability in TLE mice. These findings suggest that astrocytic Cx43 HCs in the hippocampus play a crucial role in epileptogenesis and seizure progression by regulating BBB permeability. Targeting Cx43‐formed HCs distributed around the neurovascular unit may offer a novel therapeutic approach for epilepsy.

Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold-free network-based statistics.

Emerging evidence illustrates that temporal lobe epilepsy (TLE) involves network disruptions represented by hyperexcitability and other seizure-related neural plasticity. However, these associations are not well-characterized. Our study characterizes the whole brain white matter connectome abnormalities in TLE patients compared to healthy controls (HCs) from the prospective Epilepsy Connectome Project study. Furthermore, we assessed whether aberrant white matter connections are differentially related to cognitive impairment and a history of focal-to-bilateral tonic-clonic (FBTC) seizures. Multi-shell connectome MRI data were preprocessed using the DESIGNER guidelines. The IIT Destrieux gray matter atlas was used to derive the 162×162 structural connectivity matrices (SCMs) using MRTrix3. ComBat data harmonization was applied to harmonize the SCMs from pre- and post-scanner upgrade acquisitions. Threshold-free network-based statistics were used for statistical analysis of the harmonized SCMs. Cognitive impairment status and FBTC seizure status were then correlated with these findings. We employed connectome measurements from 142 subjects, including 92 patients with TLE (36 males, mean age=40.1±11.7 years) and 50 HCs (25 males, mean age=32.6±10.2 years). Our analysis revealed overall significant decreases in cross-sectional area (CSA) of the white matter tract in TLE group compared to controls, indicating decreased white matter tract integrity and connectivity abnormalities in addition to apparent differences in graph theoretic measures of connectivity and network-based statistics. Focal and generalized cognitive impaired TLE patients showcased higher trend-level abnormalities in the white matter connectome via decreased CSA than those with no cognitive impairment. Patients with a positive FBTC seizure history also showed trend-level findings of association via decreased CSA. Widespread global aberrant white matter connectome changes were observed in TLE patients and characterized by seizure history and cognitive impairment, laying a foundation for future studies to expand on and validate the novel biomarkers and further elucidate TLE's impact on brain plasticity.

Comparative Proteomic Profiling of Blood Plasma Revealed Marker Proteins Involved in Temporal Lobe Epilepsy.

Temporal lobe epilepsy has various origins, involving or not involving structural changes in brain tissue. The mechanisms of epileptogenesis are associated with cell regulation and signaling disruptions expressed in varied levels of proteins. The blood plasma proteomic profiling of temporal lobe epilepsy patients (including magnetic resonance imaging (MRI)-positive and MRI-negative ones) and healthy volunteers using mass spectrometry and label-free quantification revealed a list of differently expressed proteins. Several apolipoproteins (APOA1, APOD, and APOA4), serpin protease inhibitors (SERPINA3, SERPINF1, etc.), complement components (C9, C8, and C1R), and a total of 42 proteins were found to be significantly upregulated in the temporal lobe epilepsy group. A classification analysis of these proteins according to their biological functions, as well as a review of the published sources, disclosed the predominant involvement of the processes mostly affected during epilepsy such as neuroinflammation, intracellular signaling, lipid metabolism, and oxidative stress. The presence of several proteins related to the corresponding compensatory mechanisms has been noted. After further validation, the newly identified temporal lobe epilepsy biomarker candidates may be used as epilepsy diagnostic tools, in addition to other less specific methods such as electroencephalography or MRI.

Preoperative structural-functional coupling at the default mode network predicts surgical outcomes of temporal lobe epilepsy.

Structural-functional coupling (SFC) has shown great promise in predicting postsurgical seizure recurrence in patients with temporal lobe epilepsy (TLE). In this study, we aimed to clarify the global alterations in SFC in TLE patients and predict their surgical outcomes using SFC features. This study analyzed presurgical diffusion and functional magnetic resonance imaging data from 71 TLE patients and 48 healthy controls (HCs). TLE patients were categorized into seizure-free (SF) and non-seizure-free (nSF) groups based on postsurgical recurrence. Individual functional connectivity (FC), structural connectivity (SC), and SFC were quantified at the regional and modular levels. The data were compared between the TLE and HC groups as well as among the TLE, SF, and nSF groups. The features of SFC, SC, and FC were categorized into three datasets: the modular SFC dataset, regional SFC dataset, and SC/FC dataset. Each dataset was independently integrated into a cross-validated machine learning model to classify surgical outcomes. Compared with HCs, the visual and subcortical modules exhibited decoupling in TLE patients (p < .05). Multiple default mode network (DMN)-related SFCs were significantly higher in the nSF group than in the SF group (p < .05). Models trained using the modular SFC dataset demonstrated the highest predictive performance. The final prediction model achieved an area under the receiver operating characteristic curve of .893 with an overall accuracy of .887. Presurgical hyper-SFC in the DMN was strongly associated with postoperative seizure recurrence. Furthermore, our results introduce a novel SFC-based machine learning model to precisely classify the surgical outcomes of TLE.

Automated detection of MRI-negative temporal lobe epilepsy with ROI-based morphometric features and machine learning.

Temporal lobe epilepsy (TLE) predominantly originates from the anteromedial basal region of the temporal lobe, and its prognosis is generally favorable following surgical intervention. However, TLE often appears negative in magnetic resonance imaging (MRI), making it difficult to quantitatively diagnose the condition solely based on clinical symptoms. There is a pressing need for a quantitative, automated method for detecting TLE. This study employed MRI scans and clinical data from 51 retrospective epilepsy cases, dividing them into two groups: 34 patients in TLE group and 17 patients in non-TLE group. The criteria for defining the TLE group were successful surgical removal of the epileptogenic zone in the temporal lobe and a favorable postoperative prognosis. A standard procedure was used for normalization, brain extraction, tissue segmentation, regional brain partitioning, and cortical reconstruction of T1 structural MRI images. Morphometric features such as gray matter volume, cortical thickness, and surface area were extracted from a total of 20 temporal lobe regions in both hemispheres. Support vector machine (SVM), extreme learning machine (ELM), and cmcRVFL+ classifiers were employed for model training and validated using 10-fold cross-validation. The results demonstrated that employing ELM classifiers in conjunction with specific temporal lobe gray matter volume features led to a better identification of TLE. The classification accuracy was 92.79%, with an area under the curve (AUC) value of 0.8019. The method proposed in this study can significantly assist in the preoperative identification of TLE patients. By employing this method, TLE can be included in surgical criteria, which could alleviate patient symptoms and improve prognosis, thereby bearing substantial clinical significance.

Altered static and dynamic functional connectivity of the default mode network across epilepsy subtypes in children: A resting-state fMRI study

BackgroundEpilepsy is a chronic neurologic disorder characterized by abnormal functioning of brain networks, making it a complex research topic. Recent advancements in neuroimaging technology offer an effective approach to unraveling the intricacies of the human brain. Within different types of epilepsy, there is growing recognition regarding ongoing changes in the default mode network (DMN). However, little is known about the shared and distinct alterations of static functional connectivity (sFC) and dynamic functional connectivity (dFC) in DMN among epileptic subtypes, especially in children with epilepsy. MethodsHere, 110 children with epilepsy at a single center, including idiopathic generalized epilepsy (IGE), frontal lobe epilepsy (FLE), temporal lobe epilepsy (TLE), and parietal lobe epilepsy (PLE), as well as 84 healthy controls (HC) underwent resting-state functional magnetic resonance imaging (fMRI) scan. We investigated both sFC and dFC between groups of the DMN. ResultsDecreased static and dynamic connectivity within the DMN subsystem were shared by all subtypes. In each epilepsy subtype, children with epilepsy displayed significant and distinct patterns of DMN connectivity compared to the control group: the IGE group showed reduced interhemispheric connectivity, the FLE group consistently demonstrated disturbances in frontal region connectivity, the TLE group exhibited significant disruptions in hippocampal connectivity, and the PLE group displayed a notable decrease in parietal-temporal connectivity within the DMN. Some state-specific FC disruptions (decreased dFC) were observed in each epilepsy subtype that cannot detect by sFC. To determine their uniqueness within specific subtypes, bootstrapping methods were employed and found the significant results (IGE: between PCC and bilateral precuneus, FLE: between right middle frontal gyrus and bilateral middle temporal gyrus, TLE: between left Hippocampus and right fusiform, PLE: between left angular and cingulate cortex). Furthermore, only children with IGE exhibited dynamic features associated with clinical variables. ConclusionsOur findings highlight both shared and distinct FC alterations within the DMN in children with different types of epilepsy. Furthermore, our work provides a novel perspective on the functional alterations in the DMN of pediatric patients, suggesting that combined sFC and dFC analysis can provide valuable insights for deepening our understanding of the neuronal mechanism underlying epilepsy in children.

Verbal episodic memory in children undergoing temporal lobe epilepsy surgery: a one-year follow-up study.

Verbal episodic memory (VEM) is often unimpaired in children with focal epilepsy undergoing left temporal lobe resections, unlike what we might expect in the adult brain. The latter findings suggest that epileptiform activity in early life disrupts memory system lateralization, leading to the development of bilateral memory representation. The present study aims to analyze whether the laterality of epilepsy is a major predictor for post-operative VEM prognosis in pediatric temporal lobe epilepsy (TLE) surgery. This research also pretends to provide evidence about the relationship of VEM performance with other relevant demographical and clinical factors such as sex, age at onset of seizures, age at surgery and duration of epilepsy, as well as to study the impact of presurgical VEM performance on postsurgical outcomes. Pre-operative and one-year follow-up post-operative word-list recall scores from 25 children who underwent TLE surgery (left-sided, n = 11; right-sided, n = 14) were extracted from the Hospital Sant Joan de Deu database and were retrospectively analyzed. No significant presurgical intergroup differences were found when comparing VEM scores by laterality of epilepsy (p > 0.5). Looking at the left TLE group, a high negative correlation was found between the onset age and the pre-operative long-term free recall score (rho = -0.72, p = 0.01). No significant pre- to post-operative intragroup changes were found regarding VEM performance, regardless of epilepsy laterality (left TLE group, p > 0.56; right TLE group, p > 0.12). The laterality of epilepsy does not show to be a significant factor in and of itself regarding presurgical VEM outcome and its prognosis one year after surgery, thus supporting the bilateral memory representation hypothesis. Furthermore, a younger age at onset of seizures seems to be related with a better pre-operative VEM performance, likely due to a more efficient reorganization of memory system induced by a greater brain plasticity at lower ages; however, this relationship has been only reported for the left-sided epilepsies in our sample.

Topological regularization of networks in temporal lobe epilepsy: a structural MRI study.

Patients with temporal lobe epilepsy (TLE) often exhibit neurocognitive disorders; however, we still know very little about the pathogenesis of cognitive impairment in patients with TLE. Therefore, our aim is to detect changes in the structural connectivity networks (SCN) of patients with TLE. Thirty-five patients with TLE were compared with 47 normal controls (NC) matched according to age, gender, handedness, and education level. All subjects underwent thin-slice T1WI scanning of the brain using a 3.0 T MRI. Then, a large-scale structural covariance network was constructed based on the gray matter volume extracted from the structural MRI. Graph theory was then used to determine the topological changes in the structural covariance network of TLE patients. Although small-world networks were retained, the structural covariance network of TLE patients exhibited topological irregularities in regular architecture as evidenced by an increase in the small world properties (p < 0.001), normalized clustering coefficient (p < 0.001), and a decrease in the transfer coefficient (p < 0.001) compared with the NC group. Locally, TLE patients showed a decrease in nodal betweenness and degree in the left lingual gyrus, right middle occipital gyrus and right thalamus compared with the NC group (p < 0.05, uncorrected). The degree of structural networks in both TLE (Temporal Lobe Epilepsy) and control groups was distributed exponentially in truncated power law. In addition, the stability of random faults in the structural covariance network of TLE patients was stronger (p = 0.01), but its fault tolerance was lower (p = 0.03). The objective of this study is to investigate the potential neurobiological mechanisms associated with temporal lobe epilepsy through graph theoretical analysis, and to examine the topological characteristics and robustness of gray matter structural networks at the network level.

Impaired orienting function detected through eye movements in patients with temporal lobe epilepsy.

Patients with temporal lobe epilepsy (TLE) often exhibit attention function impairment. The orienting network is the subsystem of the attention network that has not been fully studied. In this study, we used eye-tracking technology with an attention network test (ANT)-based task to assess the orienting function of TLE patients, aiming to characterize their eye movement patterns. A total of 37 TLE patients and 29 healthy controls (HCs) completed the ANT task based on eye-tracking technology. Orienting function damage was mainly assessed by the ANT orienting effect. Eye movement metrics, such as mean first goal-directed saccade latency (MGSL), total saccades, and saccade amplitudes, were compared between groups. The TLE patients had a significantly lower ANT orienting effect (HC, 54.05 ± 34.05; TLE, 32.29 ± 39.54) and lower eye-tracking orienting effect (HC, 116.98 ± 56.59; TLE, 86.72 ± 59.10) than those of the HCs. The larger orienting effects indicate that orienting responses are faster when receiving a spatial cue compared with a center cue. In the spatial cue condition, compared with HCs, the TLE group showed a longer first goal-directed saccade latency (HC, 76.77 ± 58.87 ms; TLE, 115.14 ± 59.15 ms), more total saccades (HC, 28.46 ± 12.30; TLE, 36.69 ± 15.13), and larger saccade amplitudes (HC, 0.75° ± 0.60°; TLE, 1.36° ± 0.89°). Furthermore, there was a positive correlation of the orienting-effect score between the ANT task and eye-tracking metrics (r = 0.58, p < 0.05). We innovatively developed a new detection method using eye-tracking technology in combination with an ANT-based task to detect the orienting function in TLE patients. The current research demonstrated that TLE patients had a significant orienting dysfunction with a specific saccade pattern characterized by a longer first goal-directed saccade latency, more total saccades, and larger saccade amplitudes. These oculomotor metrics are likely to be a better indicator of orienting function and may potentially be used for behavioral-based interventions and long-term cognition monitoring in TLE patients.

Evaluation of the diagnostic utility on 1.5T and 3.0T 1H magnetic resonance spectroscopy for temporal lobe epilepsy

Background1H magnetic resonance spectroscopy (1H-MRS) can be used to study neurological disorders because it can be utilized to examine the concentrations of related metabolites. However, the diagnostic utility of different field strengths for temporal lobe epilepsy (TLE) remains unclear. The purpose of this study is to make quantitative comparisons of metabolites of TLE at 1.5T and 3.0T and evaluate their efficacy.MethodsOur retrospective collections included the single-voxel 1H-MRS of 23 TLE patients and 17 healthy control volunteers (HCs) with a 1.5T scanner, as well as 29 TLE patients and 17 HCs with a 3.0T scanner. Particularly, HCs were involved both the scans with 1.5T and 3.0T scanners, respectively. The metabolites, including the N-acetylaspartate (NAA), creatine (Cr), and choline (Cho), were measured in the left or right temporal pole of brain. To analyze the ratio of brain metabolites, including NAA/Cr, NAA/Cho, NAA/(Cho + Cr) and Cho/Cr, four controlled experiments were designed to evaluate the diagnostic utility of TLE on 1.5T and 3.0T MRS, included: (1) 1.5T TLE group vs. 1.5T HCs by the Mann-Whitney U Test, (2) 3.0T TLE group vs. 3.0T HCs by the Mann-Whitney U Test, (3) the power analysis for the 1.5T and 3.0T scanner, and (4) 3.0T HCs vs. 1.5T HCs by Paired T-Test.ResultsThree metabolite ratios (NAA/Cr, NAA/Cho, and NAA/(Cho + Cr) showed the same statistical difference (p < 0.05) in distinguishing the TLE from HCs in the bilateral temporal poles when using 1.5T or 3.0T scanners. Similarly, the power analysis demonstrated that four metabolite ratios (NAA/Cr, NAA/Cho, NAA/(Cho + Cr), Cho/Cr) had similar distinction abilities between 1.5T and 3.0T scanner, denoting both 1.5T and 3.0T scanners were provided with similar sensitivities and reproducibilities for metabolites detection. Moreover, the metabolite ratios of the same healthy volunteers were not statistically different between 1.5T and 3.0T scanners, except for NAA/Cho (p < 0.05).Conclusions1.5T and 3.0T scanners may have comparable diagnostic potential when 1H-MRS was used to diagnose patients with TLE.

31 Item and Associative Visual Memory in Presurgical Temporal Lobe Epilepsy Patients

Objective:Patients with temporal lobe epilepsy (TLE) commonly show memory deficits on neuropsychological tests. The BVMT-R is a widely used test of visual learning and memory that involves accurately reproducing an array of figures in the correct special location. The present study examined performance processes of visual memory in presurgical patients with TLE, including item (i.e., accuracy) and associative memory (i.e., location), which have been shown to be dissociable in studies of visual memory in other neurologic populations.Participants and Methods:Participants included nine patients with left TLE (67% female; 67% left-handed; mean age = 46.15 years, range = 24-55; mean education = 14.8 years, range = 9-18) and six patients with right TLE (17% female; 33% left-handed; mean age = 57.64 years, range = 22-62; mean education = 15.52 years, range 11-18). Mean duration of epilepsy was 19 years. Participants had an average of two failed anti-seizure medications prior to surgery. TLE groups were compared to 22 healthy controls (36% female; 14% left-handed; mean age = 33.68 years, range = 2253; mean education = 17.66 years, range = 1620). All participants completed comprehensive neuropsychological testing at a large Northeastern medical center. The BVMT-R was scored using standard and novel scoring paradigms. All data were retrospectively reviewed from archival datasets.Results:MANCOVA results indicated a significant multivariate main effect for group membership and standard BVMT-R scoring after controlling for level of education, Wilks’ A = 0.59, F(4, 64) = 4.91, p = .002. The multivariate partial eta squared (np2) of .58 indicated a strong relationship between group membership and both immediate and delayed recall, with the control group performing better overall. The TLE groups did not perform significantly different from each other. A significant multivariate main effect for group and novel BVMT-R scoring was found (also controlling for education), Wilks’ A = 0.42, F(8, 58) = 3.97, p = .001. Overall, the control group demonstrated better item learning with no significant difference between TLE groups observed. Both the control (M = (16.5, SD = 2.04) and left TLE (M = 12.33, SD = 4.03) showed stronger associative learning compared to the right TLE group (M = 10.2, SD = 4.27). For item and location delayed recall, controls (M = 4.82, SD = 1.62) had more accurate recall compared to left TLE (M = 1.56, SD = 2.04) with a trend toward better performance compared to the right TLE patients (M = 2.6, SD = 1.82); the TLE groups performed similarly. No difference was observed for associative delayed recall between the three groups.Conclusions:Patients with right TLE showed worse associative learning compared to left TLE, while performance was generally comparable to their right TLE counterparts on other novel BVMT-R scoring paradigms. Unsurprisingly, patients with TLE performed worse on BVMT-R using standard scoring procedures, though no lateralizing effect was observed. While these findings suggest that associative visual learning weakness may be characteristic of right TLE, findings should be interpreted cautiously the given small sample size and demographic considerations (i.e., uneven gender distribution, lack of data on ethnicity/race).

An exploratory study of brain temperature and choline abnormalities in temporal lobe epilepsy patients with depressive symptoms.

Epilepsy and depression share neurobiological origins, and evidence suggests a possible bidirectional relationship that remains poorly understood. This exploratory, cross-sectional study aimed to investigate this relationship by employing magnetic resonance spectroscopic imaging (MRSI) and thermometry (MRSI-t) in patients with temporal lobe epilepsy (TLE) with comorbid depressive symptoms and control participants. This is the first study to combine MRSI and MRSI-t to examine brain temperature and choline abnormalities in regions implicated in seizure onset and depression. Twenty-six patients with TLE and 26 controls completed questionnaires and underwent imaging at 3T. Volumetric echo-planar MRSI/MRSI-t data were processed within the Metabolite Imaging and Data Analysis System (MIDAS). Choline (CHO) was quantified as a ratio over creatine (CRE; CHO/CRE). Brain temperature (TCRE ) was calculated based on the chemical shift difference of H2 O relative to CRE's stable location on the ppm spectrum. The Hospital Anxiety and Depression Scale measured anxiety and depressive symptoms. The Chalfont Seizure Severity Scale measured seizure severity in patients with TLE. Two sets of voxelwise independent sample t tests examined group differences in CHO/CRE and TCRE maps. Voxel-based multimodal canonical correlation analysis (mCCA) linked both datasets to investigate if, how, and where CHO/CRE and TCRE abnormalities were correlated in TLE participants and controls. Compared to controls, patients with TLE reported more depressive symptoms (P = 0.04) and showed CHO/CRE and TCRE elevations in left temporal and bilateral frontal regions implicated in seizure onset and depressive disorders (pFWE < 0.05). For the TLE group, CHO/CRE levels in temporal and frontal cortices were associated with elevated TCRE in bilateral frontal and temporal gyri (r = 0.96), and decreased TCRE in bilateral fronto-parietal regions (r = -0.95). Abnormalities in TCRE and CHO/CRE were observed in seizure-producing areas and in regions implicated in depression. These preliminary findings suggest that common metabolic changes may underlie TLE and depression. Our results suggest further investigations into the proposed bidirectional mechanisms underlying this relationship are warranted.

A comparison of comorbid headache between patients with temporal lobe epilepsy and juvenile myoclonic epilepsy

Headache is one of the most common symptoms of epilepsy comorbidities. However, the relationship between the epilepsy and headache still needs clarification. Previous studies mostly investigated the overall incidence and clinical features of the headache in patients with the epilepsy. Temporal lobe epilepsy (TLE) and juvenile myoclonic epilepsy (JME) are the common types of focal epilepsy and generalized epilepsy, respectively. Nevertheless, there was no study comparing the clinical features of headache between TLE and JME. This study aimed to analyze the headache features of these two types of epilepsy. Patients with either TLE or JME diagnosed with headache and referred to the West China Hospital of Sichuan University were consecutively recruited from June 2021 to June 2022. The duration of epilepsy was longer than 6 months in these patients. Data on headache and epilepsy were obtained through face-to-face questionnaires. The headache was classified according to the International Classification Headache Disorders-3rd edition (ICHD-III) criteria. χ2-test, t-test, rank-sum test, logistic regression modeling and Mann Whitney test were used to compare the clinical differences of the headache in TLE and JME. A total of 151 TLE patients and 30 JME patients were enrolled in this study. There was no significant difference in the family history of headache, epilepsy durations, headache types, proportion receiving analgesic therapy, the frequency of inter-ictal headache (inter-IH), and the quality of life in epilepsy -10 inventory (QOLIE-10) between the TLE and JME patients. Patients in the TLE group were significantly older (p = 0.004), and a lower percentage of them had a family history of epilepsy (p = 0.007) compared with the JME patients. The proportion of cases with refractory epilepsy was higher in the TLE group than that in the JME group (p < 0.001). The types of seizures in the TLE group varied from those in the JME group (p < 0.001). The composition of the antiseizure medications (ASM) applied in the TLE group differed from that in the JME group (p = 0.047), and the usage of oxcarbazepine was more frequently in the TLE group than in the JME group (p = 0.003). There was no difference in the headache types among patients with TLE or JME. Specifically, 67 (44.37%), 12 (7.95%), and 118 (7.95%) patients were found with inter-IH, pre-ictal headache (Pre-IH) and post-ictal headache (Post-IH) in the TLE group; while 8 (26.67%), 4 (13.33%) and 26 (86.67%) patients had inter-IH, Pre-IH and Post-IH in the JME group. Thirty-nine patients in the TLE group and 4 patients in the JME group were identified with more than one type of headaches, respectively. Tension-type headache (TTH) were found in 38 patients (25.17%) in the TLE group and 3 patients (10.00%) in the JME group, respectively; migraines were found in 10 patients (6.62%) in the TLE group and in 2 patients (6.67%) in the JME group. Patients in the TLE group had a higher headache-attributed lost time-90 days (HLT-90) score than those in the JME group (p = 0.019). The proportion of patients with inter-IH accompanied by nausea in the TLE group was higher than that in the JME group (p = 0.029), while the proportion of patients with frontal headache was lower than that in the JME group (p < 0.05). There was no significant difference in headache severity, quality, headache nature, unilateral/bilateral, and headache duration either in inter-IH or peri-ictal headache (Peri-IH) between the two groups. The logistic regression analysis suggested that except for HLT-90 (AUC = 0.622, p = 0.027), other factors were not found to be correlated with refractory epilepsy. The clinical features of headache differed between TLE and JME patients. TLE patients had a higher ratio of refractory epilepsy, more headache time loss compared with JME patients. HLT-90 was associated with the occurrence of refractory epilepsy in TLE patients. Taken together, we suggested that the comorbid headache may essentially be different between TLE and JME patients.

Repeat testing enhances long-term verbal memory in children with epilepsy

ABSTRACT To (i) determine whether accelerated long-term forgetting (ALF) can be found using standardized verbal memory test materials in children with genetic generalized epilepsy (GGE) and temporal lobe epilepsy (TLE), and (ii) to establish whether ALF is impacted by executive skills and repeat testing over long delays. One hundred and twenty-three children aged 8 to 16, (28 with GGE, 23 with TLE, and 72 typically developing; TD) completed a battery of standardized tests assessing executive functioning and memory for two stories. Stories were recalled immediately and after a 30-min delay. To examine whether repeat testing impacts long-term forgetting, one story was tested via free recall at 1-day and 2-weeks, and the other at 2-weeks only. Recognition was then tested for both stories at 2-weeks. Children with epilepsy recalled fewer story details, both immediately and after 30-min relative to TD children. Compared to TD children, the GGE group, but not the TLE group, showed ALF, having significantly poorer recall of the story tested only at the longest delay. Poor executive skills were significantly correlated with ALF for children with epilepsy. Standard story memory materials can detect ALF in children with epilepsy when administered over long delays. Our findings suggest that (i) ALF is related to poor executive skills in children with epilepsy, and (ii) repeated testing may ameliorate ALF in some children.

PROTECTIVE EFFECT OF ANTI-EPILEPTIC AGENT Q808 ON NEURONAL DAMAGE IN A RAT MODEL OF TEMPORAL LOBE EPILEPSY

The detailed effect of Q808 (6-(4-chlorophenoxy)-tetrazolo[5,1-a]phthalazine) which has been demonstrated to have anti-epileptic activity, on the protection from neuronal damage in temporal lobe epilepsy (TLE) still remains unclear. The purpose of this study was to evaluate the protective effects of Q808 on neuronal damage by exploring its mechanism of hippocampal neuronal apoptosis in a rat model of TLE. Fifty rats were divided equally into five groups. The normal group [Formula: see text] served as the normal non-seizure and untreated group. To induce the TLE model, pilocarpine (20[Formula: see text]mg/kg) was intraperitoneally administered to the other 40 rats; 33 rats successfully developed TLE status. Subsequently, the TLE group [Formula: see text], VPA group [Formula: see text], Q808-L group [Formula: see text], and Q808-H group [Formula: see text] were, respectively, treated with 5[Formula: see text]ml normal saline, 1[Formula: see text]ml/kg valproate, 0.5[Formula: see text]ml/kg Q808, and 1[Formula: see text]ml/kg Q808 solution once daily for 28 days. The Morris water maze test was performed to evaluate the effects of Q808 on cognitive impairment in the TLE model. Hematoxylin-eosin (HE) staining was performed to determine histopathological changes in the hippocampus, immunohistochemistry was performed to determine the expression of caspase-3 in the hippocampus, and western blotting was performed to determine the expression levels of apoptosis-related proteins, including Apaf-1, caspase-9, and caspase-3. Q808 decreased the expression levels of the apoptosis-related proteins in the TLE hippocampal tissue, and higher doses are more effective. Besides, Q808 did not impair spatial cognition and memory. Furthermore, the results indicated that Q808 treatment inhibited neuronal cell death, and significantly decreased the expression levels of apoptotic factors, including Apaf-1, caspase-9, and caspase-3. Q808 prevented neuronal damage in the hippocampus of TLE rats by targeting the intrinsic apoptotic pathway of neurons.

Quantitative susceptibility mapping identifies hippocampal and other subcortical grey matter tissue composition changes in temporal lobe epilepsy.

Temporal lobe epilepsy (TLE) is associated with widespread brain alterations. Using quantitative susceptibility mapping (QSM) alongside transverse relaxation rate ( ), we investigated regional brain susceptibility changes in 36 patients with left-sided (LTLE) or right-sided TLE (RTLE) secondary to hippocampal sclerosis, and 27 healthy controls (HC). We compared three susceptibility calculation methods to ensure image quality. Correlations of susceptibility and with age of epilepsy onset, frequency of focal-to-bilateral tonic-clonic seizures (FBTCS), and neuropsychological test scores were examined. Weak-harmonic QSM (WH-QSM) successfully reduced noise and removed residual background field artefacts. Significant susceptibility increases were identified in the left putamen in the RTLE group compared to the LTLE group, the right putamenand right thalamus in the RTLE group compared to HC, and a significant susceptibility decrease in the left hippocampus in LTLE versus HC. LTLE patients who underwent epilepsy surgery showed significantly lower left-versus-right hippocampal susceptibility. Significant changes were found between TLE and HC groups in the amygdala, putamen, thalamus, and in the hippocampus. Specifically, decreased R2 * was found in the left and right hippocampus in LTLE and RTLE, respectively, compared to HC. Susceptibility and were significantly correlated with cognitive test scores in the hippocampus, globus pallidus, and thalamus. FBTCS frequency correlated positively with ipsilateral thalamic and contralateral putamen susceptibility and with in bilateral globi pallidi. Age of onset was correlated with susceptibility in the hippocampus and putamen, and with in the caudate. Susceptibility and changes observed in TLE groups suggest selective loss of low-myelinated neurons alongside iron redistribution in the hippocampi, predominantly ipsilaterally, indicating QSM's sensitivity to local pathology. Increased susceptibility and in the thalamus and putamen suggest increased iron content and reflect disease severity.

Investigation of the effect and availability of ketamine on electroencephalography in cats with temporal lobe epilepsy.

In recent years, electroencephalography (EEG) in veterinary medicine has become important not only in the diagnosis of epilepsy, but also in determining the epileptogenic focus. In cats, sedation and immobilization, usually with medetomidine or dexmedetomidine, are necessary to place the electrodes and to obtain stable scalp EEG recordings. In this study, we hypothesized that, for cats with temporal lobe epilepsy (TLE), ketamine, a sedative/anesthetic and N-methyl-D-aspartate (NMDA) antagonist that activates the limbic system and is also used to treat refractory status epilepticus in dogs, would induce sufficient sedation and immobilization for EEG, as well as induce interictal epileptiform discharges (IEDs) that are more pronounced than those induced with medetomidine. We obtained EEG recordings from TLE cats and healthy cats administered either ketamine or medetomidine alone (study 1) or ketamine after medetomidine sedation (study 2). In study 1, the frequency of IEDs showed no statistically significant difference between ketamine and medetomidine in both TLE and healthy cats. Seizures were observed in 75% (9/12) cats of the TLE group with ketamine alone. When ketamine was administered after sedation with medetomidine (study 2), 3/18 cats in the TLE group developed generalized tonic-clonic seizure and 1/18 cats showed subclinical seizure activity. However, no seizures were observed in all healthy cats in both study 1 and study 2. Slow wave activity at 2-4 Hz was observed in many individuals after ketamine administration regardless studies and groups, and quantitative analysis in study 2 showed a trend toward increased delta band activities in both groups. While there was no significant difference in the count of IEDs between medetomidine and ketamine, ketamine caused seizures in cats with TLE similar to their habitual seizure type and with a higher seizure frequency. Our results suggest that ketamine may activate epileptiform discharges during EEG recordings. However, caution should be used for cats with TLE.

Multi-scale structural alterations of the thalamus and basal ganglia in focal epilepsy using 7T MRI.

Focal epilepsy is characterized by repeated spontaneous seizures that originate from cortical epileptogenic zone networks (EZN). Analysis of intracerebral recordings showed that subcortical structures, and in particular the thalamus, play an important role in seizure dynamics as well, supporting their structural alterations reported in the neuroimaging literature. Nonetheless, between-patient differences in EZN localization (e.g., temporal vs. non-temporal lobe epilepsy) as well as extension (i.e., number of epileptogenic regions) might impact the magnitude as well as spatial distribution of subcortical structural changes. Here we used 7 Tesla MRI T1 data to provide an unprecedented description of subcortical morphological (volume, tissue deformation, and shape) and longitudinal relaxation (T1 ) changes in focal epilepsy patients and evaluate the impact of the EZN and other patient-specific clinical features. Our results showed variable levels of atrophy across thalamic nuclei that appeared most prominent in the temporal lobe epilepsy group and the side ipsilateral to the EZN, while shortening of T1 was especially observed for the lateral thalamus. Multivariate analyses across thalamic nuclei and basal ganglia showed that volume acted as the dominant discriminator between patients and controls, while (posterolateral) thalamic T1 measures looked promising to further differentiate patients based on EZN localization. In particular, the observed differences in T1 changes between thalamic nuclei indicated differential involvement based on EZN localization. Finally, EZN extension was found to best explain the observed variability between patients. To conclude, this work revealed multi-scale subcortical alterations in focal epilepsy as well as their dependence on several clinical characteristics.