Common Epilepsy Research Articles

336 Connectivity Between Resting-State Networks and Mesial Temporal Regions May Distinguish Between Right and Left Mesial Temporal Lobe Epilepsy

INTRODUCTION: Mesial temporal lobe epilepsy (mTLE) is the most common surgical epilepsy. Confidently lateralizing mTLE preoperatively may be challenging with only noninvasive evaluations. Resting-state fMRI has been used to identify connectivity abnormalities in mTLE, involving mesial temporal structures and other networks such as default mode network (DMN). METHODS: We acquired 20 minutes of resting-state fMRI in 52 mTLE patients (28 females, 39.5 ± 12.2 years) and 52 age/gender matched controls. In mTLE patients versus controls, we evaluated fMRI functional connectivity of bilateral hippocampi/amygdalae and resting-state networks (default mode, central executive, salience, visual) using non-directed Pearson correlation (Z-scored), network-based statistic (NBS), and directed dynamic causal modeling (DCM). We separately acquired 2 minutes of resting-state SEEG in 17 unilateral mTLE patients (10 females, 34.6 ± 12.5 years). Using SEEG, we measured hippocampal versus extrahippocampal inward partial directed coherence (PDC) strength. RESULTS: Right mTLE patients demonstrated reduced undirected functional connectivity (Z) between right hippocampus and DMN compared to left mTLE patients and controls (p < 0.001, corrected, ANOVA). These were not seen between the hippocampus and other resting-state networks. Focusing on mesial temporal and DMN nodes, NBS analysis demonstrated the network with most decreased connectivity in right versus left mTLE included right hippocampus/amygdala, bilateral inferior parietal, precuneus, and medial orbitofrontal, and right lateral orbitofrontal regions (9 of 14 nodes, p = 0.006, corrected). With model exceedance probabilities, DCM analysis revealed cross-hemispheric connectivity between hippocampi/amygdalae was mostly inward to epileptogenic-side. FMRI finding resembled SEEG findings, where inward PDC strength was higher in epileptogenic hippocampi compared to other regions in right/left mTLE (p < 0.05, t-tests, corrected). CONCLUSION: If improved, this may aid surgical planning and reduce need for intracranial monitoring. Inward patterns using fMRI and SEEG appear altered at epileptogenic hippocampi, warranting further comparative study of directional connectivity between fMRI and SEEG.

Mimicking CA3 Temporal Dynamics Controls Limbic Ictogenesis.

Simple SummaryMesial temporal lobe epilepsy (MTLE) is the most common partial complex epilepsy in adults and the most often refractory to medications. Electrical deep brain stimulation (DBS) has proved effective in controlling seizures in animal models and in drug-refractory MTLE patients. However, there is still no unifying framework for DBS parameters, which are obtained by trial-and-error and based on arbitrary, fixed stimulation frequencies rather than on physiologically relevant patterns. Interictal activity may present the key to devising personalized and physiologically relevant DBS strategies. Interictal activity occurs between seizures and is a hallmark of the hyperexcitability of the epileptic brain; depending on the underlying mechanisms and site of origin, it may promote seizures (pro-ictogenic) or dampen them (anti-ictogenic). In this work, we address the possibility of controlling seizure activity by means of electrical stimulation fashioned as a surrogate interictal pattern known to be anti-ictogenic. We show that this approach can effectively control seizure activity while delivering fewer electrical pulses than fixed-frequency stimulation. Thus, mimicking the temporal dynamics of an anti-ictogenic interictal pattern may represent a straightforward, personalized and more efficient DBS strategy to ameliorate drug-refractory epilepsy. Our work heralds a paradigm shift toward physiologically meaningful rather than arbitrary DBS parameters.Mesial temporal lobe epilepsy (MTLE) is the most common partial complex epilepsy in adults and the most unresponsive to medications. Electrical deep brain stimulation (DBS) of the hippocampus has proved effective in controlling seizures in epileptic rodents and in drug-refractory MTLE patients. However, current DBS paradigms implement arbitrary fixed-frequency or patterned stimuli, disregarding the temporal profile of brain electrical activity. The latter, herein included hippocampal spontaneous firing, has been shown to follow lognormal temporal dynamics. Here, we present a novel paradigm to devise DBS protocols based on stimulation patterns fashioned as a surrogate brain signal. We focus on the interictal activity originating in the hippocampal subfield CA3, which has been shown to be anti-ictogenic. Using 4-aminopyridine-treated hippocampus-cortex slices coupled to microelectrode array, we pursue three specific aims: (1) address whether lognormal temporal dynamics can describe the CA3-driven interictal pattern, (2) explore the possibility of restoring the non-seizing state by mimicking the temporal dynamics of this anti-ictogenic pattern with electrical stimulation, and (3) compare the performance of the CA3-surrogate against periodic stimulation. We show that the CA3-driven interictal activity follows lognormal temporal dynamics. Further, electrical stimulation fashioned as a surrogate interictal pattern exhibits similar efficacy but uses less pulses than periodic stimulation. Our results support the possibility of mimicking the temporal dynamics of relevant brain signals as a straightforward DBS strategy to ameliorate drug-refractory epilepsy. Further, they herald a paradigm shift in neuromodulation, wherein a compromised brain signal can be recreated by the appropriate stimuli distribution to bypass trial-and-error studies and attain physiologically meaningful DBS operating modes.

Processing speed dysfunction is associated with functional corticostriatal circuit alterations in childhood epilepsy with centrotemporal spikes: a PET and fMRI study

PurposeEpilepsy with centrotemporal spikes (ECTS) is the most common epilepsy syndrome in children and usually presents with cognitive dysfunctions. However, little is known about the processing speed dysfunction and the associated neuroimaging mechanism in ECTS. This study aims to investigate the brain functional abnormality of processing speed dysfunction in ECTS patients by using the 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and resting-state functional magnetic resonance imaging (rs-fMRI).MethodsThis prospective study recruited twenty-eight ECTS patients who underwent the 18F-FDG PET, rs-fMRI, and neuropsychological examinations. Twenty children with extracranial tumors were included as PET controls, and 20 healthy children were recruited as MRI controls. The PET image analysis investigated glucose metabolism by determining standardized uptake value ratio (SUVR). The MRI image analysis explored abnormal functional connectivity (FC) within the cortical–striatal circuit through network-based statistical (NBS) analysis. Correlation analysis was performed to explore the relationship between SUVR, FC, and processing speed index (PSI).ResultsCompared with healthy controls, ECTS patients showed normal intelligence quotient but significantly decreased PSI (P = 0.04). PET analysis showed significantly decreased SUVRs within bilateral caudate, putamen, pallidum, left NAc, right rostral middle frontal gyrus, and frontal pole of ECTS patients (P < 0.05). Rs-fMRI analysis showed absolute values of 20 FCs were significantly decreased in ECTS patients compared with MRI controls, which connected 16 distinct ROIs. The average SUVR of right caudate and the average of 20 FCs were positively correlated with PSI in ECTS patients (P = 0.034 and P = 0.005, respectively).ConclusionThis study indicated that ECTS patients presented significantly reduced PSI, which is closely associated with decreased SUVR and FC of cortical–striatal circuit. Caudate played an important role in processing speed dysfunction.Clinical trial registrationNCT04954729; registered on July 8, 2021, public site, https://clinicaltrials.gov/ct2/show/NCT04954729

Fibroblast growth factor 13 is involved in the pathogenesis of temporal lobe epilepsy.

Temporal lobe epilepsy (TLE) is the most common drug-resistant epilepsy in adults, with pathological mechanisms remaining to be fully elucidated. Fibroblast Growth Factor 13 (FGF13) encodes an intracellular protein involved in microtubule stabilization and regulation of voltage-gated sodium channels (VGSCs) function. FGF13 mutation has been identified in patients with inherent seizure, suggesting a potential association between FGF13 and the etiology of TLE. Here, we set to explore the pathological role of FGF13 in the etiology of TLE. We found that the expression of FGF13 was increased in the cortical lesions and CA1 region of sclerotic hippocampus and correlated with the seizure frequency in TLE patients. Also, Fgf13 expression was increased in the hippocampus of chronic TLE mice generated by kainic acid (KA) injection. Furthermore, Fgf13 knockdown or overexpression was respectively found to attenuate or potentiate the effects of KA on axonal length, somatic area and the VGSCs-mediated current in the hippocampal neurons. Taken together, these findings suggest that FGF13 is involved in the pathogenesis of TLE by modulating microtubule activity and neuronal excitability.

Reduced paraoxonase 1 activities may explain the comorbidities between temporal lobe epilepsy and depression, anxiety and psychosis.

BACKGROUNDTemporal lobe epilepsy (TLE) is the most common focal epilepsy subtype in adults and is frequently accompanied by depression, anxiety and psychosis. Aberrations in total paraoxonase 1 (PON1) status may occur in TLE and these psychiatric conditions. AIMTo examine PON1 status, namely Q192R PON1 genotypes and PON1 enzymatic activities, in TLE.METHODSWe recruited 40 normal controls and 104 TLE patients, 27 without comorbidities and 77 with comorbidities including mood disorders (n = 25), anxiety disorders (n = 27) and psychosis (n = 25).RESULTSFour-(chloromethyl)phenyl acetate hydrolysis (CMPAase) and arylesterase activities were significantly lower in TLE and mesial temporal sclerosis (MTS) with and without psychiatric comorbidities than those in normal controls. The areas under the receiver operating characteristic curve of CMPAase were 0.893 (0.037) for TLE and 0.895 (± 0.037) for MTS. Partial least squares path analysis showed that there were specific indirect effects of PON1 genotype on TLE severity (P < 0.0001) and psychopathology (P < 0.0001), which were both mediated by lowered CMPAase activity, while arylesterase activity was not significant. The severity of TLE was significantly associated with psychopathology scores. Furthermore, PON1 CMPAase activity was inversely associated with Mini Mental State Examination score. CONCLUSIONThe severity of TLE and comorbidities are to a large extent explained by reduced PON1 enzyme activities and by effects of the Q192R genotype, which are mediated by reduced CMPAase activity. Total PON1 status plays a key role in the pathophysiology of TLE, MTS and psychiatric comorbidities by increasing the risk of oxidative toxicity. PON1 enzyme activities are new drug targets in TLE to treat seizure frequency and psychiatric comorbidities.

The local neural markers of MRI in patients with temporal lobe epilepsy presenting ictal panic: A resting resting-state postictal fMRI study

ObjectivesTemporal lobe epilepsy (TLE) is one of the most common focal epilepsies. Some patients with TLE have ictal panic (IP), which is often confused with panic attack (PA) in panic disorder (PD). Previous studies have described temporal lobe epilepsy with ictal panic (TLEIP), but the specific mechanisms remain unclear. Here, we used resting-state functional magnetic resonance imaging (rs-fMRI) to investigate local brain abnormalities in patients with TLEIP and tried to find neural markers to explore the mechanism of IP in patients with TLE. MethodsA total of 40 patients with TLE, including 28 patients with TLE and 12 patients with TLEIP along with 30 age- and gender-matched healthy controls were included. We collected clinical/physiological/neuropsychological and rs-fMRI data. Fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and degree centrality (DC) were calculated. ANOVA was used to find different areas and t-tests used to compare differences among fALFF, ReHo, and DC. Correlation analyses explored the relationship between local brain abnormalities and patient characteristics. ResultsNo significant differences in age and gender were found among the three groups, nor were there differences in education level, Montreal Cognitive Assessment (MOCA) and Hamilton Anxiety Scale (HAMA) between the TLEIP and TLE groups. All the onset sites of patients with TLEIP were on the right. In addition to fear, other symptoms observed included nausea, palpitations, rising epigastric sensation, and dyspnea. There were no correlations between duration of IP and HAMA (p = 0.659). Moreover, all IP durations were <2 min and most <1 min. Compared to the HCs group, the ReHo value of the TLEIP group in the right middle frontal gyrus was significantly decreased (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). Compared to the HCs and TLE groups, the DC value of the TLEIP group in the left middle temporal gyrus (MTG) was significantly increased (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). No regions showed any significant fALFF difference between HCs and TLE groups (GRF correction, two-tailed, voxel level P < 0.005, cluster level P < 0.05). ConclusionsThis research describes local brain abnormalities in patients with TLE presenting as IP. These results will be preliminarily conducive to understand the seizure mechanism of IP in patients with TLE, find out the MRI neural markers, and to further explore the neurophysiological mechanisms of IP in patients with TLE.

The Impact of Glutamatergic Synapse Dysfunction in the Corticothalamocortical Network on Absence Seizure Generation

Childhood absence epilepsy (CAE) is the most common pediatric epilepsy affecting 10–18% of all children with epilepsy. It is genetic in origin and the result of dysfunction within the corticothalamocortical (CTC) circuitry. Network dysfunction may arise from multifactorial mechanisms in patients from different genetic backgrounds and thus account for the variability in patient response to currently available anti-epileptic drugs; 30% of children with absence seizures are pharmaco-resistant. This review considers the impact of deficits in AMPA receptor-mediated excitation of feed-forward inhibition (FFI) in the CTC, on absence seizure generation. AMPA receptors are glutamate activated ion channels and are responsible for most of the fast excitatory synaptic transmission throughout the CNS. In the stargazer mouse model of absence epilepsy, the genetic mutation is in stargazin, a transmembrane AMPA receptor trafficking protein (TARP). This leads to a defect in AMPA receptor insertion into synapses in parvalbumin-containing (PV+) inhibitory interneurons in the somatosensory cortex and thalamus. Mutation in the Gria4 gene, which encodes for the AMPA receptor subunit GluA4, the predominant AMPA receptor subunit in cortical and thalamic PV + interneurons, also leads to absence seizures. This review explores the impact of glutamatergic synapse dysfunction in the CTC network on absence seizure generation. It also discusses the cellular and molecular mechanisms involved in the pathogenesis of childhood absence epilepsy.

Differentiating early clinical features of Panayiotopoulos syndrome from acute encephalopathy

BackgroundPanayiotopoulos syndrome (PS) is a common benign epilepsy in childhood, characterized by predominantly autonomic symptoms such as emesis, pallor, and seizures, which are often prolonged. In an emergency room (ER), particularly when unconsciousness is prolonged, differentiating PS from acute encephalopathy is challenging. In this study, we aimed to elucidate the differences in clinical features of patients with PS and acute encephalopathy who visited our ER. MethodsWe retrospectively reviewed 18 patients who were transferred to our ER because of status epilepticus later diagnosed as PS, and 30 patients with acute encephalopathy, between July 2012 and July 2017. We compared patient demographics, clinical characteristics, and treatment. ResultsMost patients (90%) with acute encephalopathy had convulsive seizures of greater than or equal to 15 min, whereas only three patients (17%) with PS had convulsive seizures of greater than or equal to 15 min (P < 0.001). In addition, seizures were treatable in all patients with PS with a small dose of midazolam (0.1 mg/kg), but all patients with acute encephalopathy required midazolam at 0.3 mg/kg or more (P < 0.001). More patients with PS had autonomic symptoms compared to those with acute encephalopathy (e.g., vomiting [78% vs. 3%, P < 0.001]). Non-convulsive status epilepticus was observed in 22% of PS patients, but not in any acute encephalopathy patients. In contrast, fever was observed in all patients with acute encephalopathy (100%), but less frequently in those with PS (11%, P < 0.001). ConclusionPS was characterized by 1) convulsive seizures shorter than 15 min, 2) seizures treatable with small doses of midazolam, and 3) autonomic symptoms. PS could be differentiated from acute encephalopathy in the early stages of the syndrome.

Epilepsy progression is associated with cumulative DNA methylation changes in inflammatory genes.

Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most common focal epilepsy in adults. It is characterized by alarming rates of pharmacoresistance. Epileptogenesis is associated with the occurrence of epigenetic alterations, and the few epigenetic studies carried out in MTLE-HS have mainly focused on the hippocampus. In this study, we obtained the DNA methylation profiles from both the hippocampus and anterior temporal neocortex of MTLE-HS patients subjected to resective epilepsy surgery and autopsied non-epileptic controls. We assessed the progressive nature of DNA methylation changes in relation to epilepsy duration. We identified significantly altered hippocampal DNA methylation patterns encompassing multiple pathways known to be involved in epileptogenesis. DNA methylation changes were even more striking in the neocortex, wherein pathogenic pathways and genes were common to both tissues. Most importantly, DNA methylation changes at many genomic sites varied significantly with epilepsy duration. Such progressive changes were associated with inflammation-related genes in the hippocampus. Our results suggest that the neocortex, relatively spared of extensive histopathological damage, may also be involved in epilepsy development. These results also open the possibility that the observed neocortical impairment could represent a preliminary stage of epileptogenesis before the establishment of chronic lesions or a consequence of prolonged seizure exposure. Our two-tissue multi-level characterization of the MTLE-HS DNA methylome suggests the occurrence of a self-propagating inflammatory wave of epigenetic dysregulation.

Epilepsy and brain network hubs.

Epilepsy is a disorder of brain networks. A better understanding of structural and dynamic network properties may improve epilepsy diagnosis, treatment, and prognostics. Hubs are brain regions with high connectivity to other parts of the brain and are typically situated along the brain's most efficient communication pathways, supporting large-scale brain wiring and many higher order neural functions. The visualization and analysis of hubs offers a perspective on regional and global network organization and can provide novel insights into brain disorders and epilepsy. By notably supporting the interaction between various brain networks, hubs may be implicated in seizure spread and in epilepsy-related phenotypes. In this review, we will discuss the growing literature on atypical hub organization in common epilepsy syndromes, both related to neuroimaging of brain structure and function, and related to neurophysiological data from magneto- and electroencephalographic measures of neural dynamics. With studies increasingly exploring the clinical utility of network neuroscience approaches, we highlight the potential of hub mapping as a candidate biomarker of cognitive dysfunction and postsurgical seizure outcome. We will conclude the review with a discussion of current limitations and outlook for future research.

Investigation of synapses in the cortical white matter in human temporal lobe epilepsy

Temporal lobe epilepsy (TLE) is one of the most common focal pharmacotherapy-resistant epilepsy in adults. Previous studies have shown significantly higher numbers of neurons in the neocortical white matter in TLE patients than in controls.The aim of this work was to investigate whether white matter neurons are part of the neuronal circuitry. Therefore, we studied the distribution and density of synapses in surgically resected neocortical tissue of pharmacotherapy-resistant TLE patients. Neocortical white matter of temporal lobe from non-epileptic patients were used as controls. Synapses and neurons were visualized with immunohistochemistry using antibodies against synaptophysin and NeuN, respectively. The presence of synaptophysin in presynaptic terminals was verified by electron microscopy. Quantification of immunostaining was performed and the data of the patients’ cognitive tests as well as clinical records were compared to the density of neurons and synapses.Synaptophysin density in the white matter of TLE patients was significantly higher than in controls. In TLE, a significant correlation was found between synaptophysin immunodensity and density of white matter neurons. Neuronal as well as synaptophysin density significantly correlated with scores of verbal memory of TLE patients. Neurosurgical outcome of TLE patients did not significantly correlate with histological data, although, higher neuronal and synaptophysin densities were observed in patients with favorable post-surgical outcome.Our results suggest that white matter neurons in TLE patients receive substantial synaptic input and indicate that white matter neurons may be integrated in epileptic neuronal networks responsible for the development or maintenance of seizures.

Cytokine-chemokine profiles in the hippocampus of patients with mesial temporal lobe epilepsy and hippocampal sclerosis

PurposeMesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most common drug-resistant epilepsy. Despite major advances in epilepsy research, the epileptogenesis of the MTLE-HS is not well understood. The altered neuroimmune response is one of the pathomechanisms linked to progressive epileptogenesis in MTLE-HS, and understanding its role may help design future cures for pharmaco-resistant MTLE-HS. Here, the neuroimmune function was evaluated by the assessment of cytokine-chemokine profiles in brain samples from the hippocampus of patients with MTLE-HS. MethodsBrain samples from patients with MTLE-HS collected during epileptosurgical resection (n = 21) were compared to those obtained from autopsy controls (n = 13). The typing of HS was performed according to ILAE consensus classification, and patients were additionally sorted into subgroups based on the severity of neuronal depletion (Wyler grading system). Differences between patients with MTLE-HS with and without a history of febrile seizures were also assessed. RNA was isolated from native samples, and real-time gene expression analysis of cytokine-chemokine profiles, i.e., levels of IL-1β, IL-6, IL-10, IL-18, CCL2, CCL3, CCL4, and STAT3, was carried out by qRT-PCR methodology. ResultsUpregulation of IL-1β (p = 0.001), IL-18 (p = 0.0018), CCL2 (p = 0,0377), CCL3 (p < 0.001), and CCL4 (p < 0.001) in MTLE-HS patients was detected when compared to the post-mortem hippocampal samples collected from autopsy controls. The STAT3 expression was higher in more severe neuronal loss and glial scaring determined by different Wyler grades in HS patients. Furthermore, cytokine-chemokine profiles were not different in MTLE-HS patients with or without febrile seizures. ConclusionThe upregulation of specific cytokines and chemokines in MTLE-HS provides evidence that the neuroinflammatory process contributes to MTLE epileptogenesis. History of febrile seizures did not alter the immune profiles. Specific immune mediators and related immune pathways represent potential therapeutic targets for seizure control and pharmacoresistancy prevention in MTLE associated with hippocampal sclerosis.

Neuroregenerative gene therapy to treat temporal lobe epilepsy in a rat model.

Temporal lobe epilepsy (TLE) is a common drug-resistant epilepsy associated with abundant cell death in the hippocampus. Here, we develop a novel gene therapy-mediated cell therapy that regenerates GABAergic neurons using internal hippocampal astrocytes to suppress seizure activity in a rat TLE model. We discovered that TLE-induced reactive astrocytes in the hippocampal CA1 region can be efficiently converted into GABAergic neurons after overexpressing a neural transcription factor NeuroD1. The astrocyte-converted neurons showed typical markers of GABAergic interneurons, fired action potentials, and formed functional synaptic connections with other neurons. Following NeuroD1-mediated astrocyte-to-neuron conversion, the number of hippocampal interneurons was significantly increased, and the spontaneous recurrent seizure (SRS) activity was significantly decreased. Moreover, NeuroD1 gene therapy treatment rescued total neuronal loss in the CA1 region and ameliorated the cognitive and mood dysfunctions in the TLE rat model. These results suggest that regeneration of GABAergic interneurons through gene therapy approach may provide a novel therapeutic intervention to treat drug-resistant TLE.

EMD-WOG-2DCNN based EEG signal processing for Rolandic seizure classification

Objective Approximately 65 million people have epilepsy around the world. Recognition of epilepsy types is the basis to determine the treatment method and predict the prognosis in epilepsy patients. Childhood benign epilepsy with centrotemporal spikes (BECTS) or benign Rolandic epilepsy is the most common focal epilepsy in children, accounting for 15–20% of childhood epilepsies. These EEG patterns of individuals usually predict good treatment responses and prognosis. Until now, the interpretation of EEG still depends entirely on experienced neurologists, which may be a lengthy and tedious task. Method In this article, we proposed a novel machine learning model that efficiently distinguished Rolandic seizures from normal EEG signals. The proposed machine learning model processes the identification procedure in the following order (1) creating preliminary EEG features using signal empirical mode decomposition, (2) applying weighted overlook graph (WOG) to represent the decomposed EMD of IMF, and (3) classifying the results through a two Dimensional Convolutional Neural Network (2DCNN). The performance of our classification model is compared with other representative machine learning models. Results The model offered in this article gains an accuracy performance exceeding 97.6% in the Rolandic dataset, which is higher than other classification models. The effect of the model on the Bonn public dataset is also comparable to existing methods and even performs better in some subsets. Conclusion The purpose of this study is to introduce the most common childhood benign epilepsy type and propose a model that meets the real clinical needs to distinguish this Rolandic EEG pattern from normal signals accurately. Significance Future research will optimize the model to categorize other types of epilepsies beyond BECTS and finally implement them in the hospital system.

SCN1A Mutation-Beyond Dravet Syndrome: A Systematic Review and Narrative Synthesis.

Background: SCN1A is one of the most common epilepsy genes. About 80% of SCN1A gene mutations cause Dravet syndrome (DS), which is a severe and catastrophic epileptic encephalopathy. More than 1,800 mutations have been identified in SCN1A. Although it is known that SCN1A is the main cause of DS and genetic epilepsy with febrile seizures plus (GEFS+), there is a dearth of information on the other related diseases caused by mutations of SCN1A.Objective: The aim of this study is to systematically review the literature associated with SCN1A and other non-DS-related disorders.Methods: We searched PubMed and SCOPUS for all the published cases related to gene mutations of SCN1A until October 20, 2021. The results reported by each study were summarized narratively.Results: The PubMed and SCOPUS search yielded 2,889 items. A total of 453 studies published between 2005 and 2020 met the final inclusion criteria. Overall, 303 studies on DS, 93 on GEFS+, three on Doose syndrome, nine on the epilepsy of infancy with migrating focal seizures (EIMFS), six on the West syndrome, two on the Lennox–Gastaut syndrome (LGS), one on the Rett syndrome, seven on the nonsyndromic epileptic encephalopathy (NEE), 19 on hemiplegia migraine, six on autism spectrum disorder (ASD), two on nonepileptic SCN1A-related sudden deaths, and two on the arthrogryposis multiplex congenital were included.Conclusion: Aside from DS, SCN1A also causes other epileptic encephalopathies, such as GEFS+, Doose syndrome, EIMFS, West syndrome, LGS, Rett syndrome, and NEE. In addition to epilepsy, hemiplegic migraine, ASD, sudden death, and arthrogryposis multiplex congenital can also be caused by mutations of SCN1A.

MiRNA-29a serves as a promising diagnostic biomarker in children with temporal lobe epilepsy and regulates seizure-induced cell death and inflammation in hippocampal neurons.

Temporal lobe epilepsy (TLE) in children is one of the most common refractory epilepsies. MicroRNAs (miRNAs) show abnormal expression in neurological disorders. The objective of this study was to determine changes in expression and the role of miR-29a in children with TLE. Sixty-five TLE patients and 70 normal controls were recruited. The levels of miR-29a were quantified using qRT-PCR. An in vitro TLE cell model was established using primary hippocampal cells cultured in magnesium-free medium. Cell viability, cell apoptosis and inflammatory cytokine concentrations were evaluated. The luciferase reporter assay was applied to confirm the target gene, HMGB1. A low level of MiR-29a expression was observed in the serum of children with TLE, which demonstrated a negative association with the concentration of serum TNF-α, IL-6, and IFN-γ. The level of MiR-29a demonstrated high specificity and sensitivity in children with TLE. A low level of expression of miR-29a was also detected in the TLE cell model. MiR-29a over-expression reversed the decreased cell viability induced by TLE, and alleviated cell apoptosis. Release of TNF-α, IL-6, and IFN-γ induced by TLE was also inhibited by miR-29a over-expression. HMGB1, which was downregulated in the serum of TLE patients, was shown to be a target gene of miR-29a, and negatively correlated with miR-29a level. The downregulation of serum miR-29a may serve as a non-invasive diagnostic biomarker for children with TLE. MiR-29a may be involved in the pathogenesis of TLE through regulation of neuronal apoptosis and neuroinflammation via targeting HMGB1.

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy.

Temporal lobe epilepsy, a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in temporal lobe epilepsy relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry; or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated.Here, we addressed this gap using the multisite ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 temporal lobe epilepsy patients and 1418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in temporal lobe epilepsy, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 temporal lobe epilepsy patients and 53 healthy controls and examined clinical associations using machine learning.We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables.Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of temporal lobe epilepsy-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings refine our notion of the neuropathology of temporal lobe epilepsy and may inform future discovery and validation of complementary MRI biomarkers in temporal lobe epilepsy.

PURA-Related Developmental and Epileptic Encephalopathy: Phenotypic and Genotypic Spectrum.

Background and ObjectivesPurine-rich element-binding protein A (PURA) gene encodes Pur-α, a conserved protein essential for normal postnatal brain development. Recently, a PURA syndrome characterized by intellectual disability, hypotonia, epilepsy, and dysmorphic features was suggested. The aim of this study was to define and expand the phenotypic spectrum of PURA syndrome by collecting data, including EEG, from a large cohort of affected patients.MethodsData on unpublished and published cases were collected through the PURA Syndrome Foundation and the literature. Data on clinical, genetic, neuroimaging, and neurophysiologic features were obtained.ResultsA cohort of 142 patients was included. Characteristics of the PURA syndrome included neonatal hypotonia, feeding difficulties, and respiratory distress. Sixty percent of the patients developed epilepsy with myoclonic, generalized tonic-clonic, focal seizures, and/or epileptic spasms. EEG showed generalized, multifocal, or focal epileptic abnormalities. Lennox-Gastaut was the most common epilepsy syndrome. Drug refractoriness was common: 33.3% achieved seizure freedom. We found 97 pathogenic variants in PURA without any clear genotype-phenotype associations.DiscussionThe PURA syndrome presents with a developmental and epileptic encephalopathy with characteristics recognizable from neonatal age, which should prompt genetic screening. Sixty percent have drug-resistant epilepsy with focal or generalized seizures. We collected more than 90 pathogenic variants without observing overt genotype-phenotype associations.

Using common genetic variants to find drugs for common epilepsies.

Better drugs are needed for common epilepsies. Drug repurposing offers the potential of significant savings in the time and cost of developing new treatments. In order to select the best candidate drug(s) to repurpose for a disease, it is desirable to predict the relative clinical efficacy that drugs will have against the disease. Common epilepsy can be divided into different types and syndromes. Different antiseizure medications are most effective for different types and syndromes of common epilepsy. For predictions of antiepileptic efficacy to be clinically translatable, it is essential that the predictions are specific to each form of common epilepsy, and reflect the patterns of drug efficacy observed in clinical studies and practice. These requirements are not fulfilled by previously published drug predictions for epilepsy. We developed a novel method for predicting the relative efficacy of drugs against any common epilepsy, by using its Genome-Wide Association Study summary statistics and drugs’ activity data. The methodological advancement in our technique is that the drug predictions for a disease are based upon drugs’ effects on the function and abundance of proteins, and the magnitude and direction of those effects, relative to the importance, degree and direction of the proteins’ dysregulation in the disease. We used this method to predict the relative efficacy of all drugs, licensed for any condition, against each of the major types and syndromes of common epilepsy. Our predictions are concordant with findings from real-world experience and randomized clinical trials. Our method predicts the efficacy of existing antiseizure medications against common epilepsies; in this prediction, our method outperforms the best alternative existing method: area under receiver operating characteristic curve (mean ± standard deviation) 0.83 ± 0.03 and 0.63 ± 0.04, respectively. Importantly, our method predicts which antiseizure medications are amongst the more efficacious in clinical practice, and which antiseizure medications are amongst the less efficacious in clinical practice, for each of the main syndromes of common epilepsy, and it predicts the distinct order of efficacy of individual antiseizure medications in clinical trials of different common epilepsies. We identify promising candidate drugs for each of the major syndromes of common epilepsy. We screen five promising predicted drugs in an animal model: each exerts a significant dose-dependent effect upon seizures. Our predictions are a novel resource for selecting suitable candidate drugs that could potentially be repurposed for each of the major syndromes of common epilepsy. Our method is potentially generalizable to other complex diseases.

Epilepsy in Pakistan: Frequency and common epilepsy types in a tertiary care hospital

Epilepsy in Pakistan: Frequency and common epilepsy types in a tertiary care hospital