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The brain is in a constant state of dynamic change, for example switching between cognitive and behavioural tasks, and between wakefulness and sleep. The brains of people with epilepsy have additional features to their dynamic repertoire, particularly the paroxysmal occurrence of seizures. Substantial effort over decades has produced a detailed description of many human epilepsies and of specific seizure types; in some instances there are known causes, sometimes highly specific such as single gene mutations, but the mechanisms of seizure onset and termination are not known. A large number of in vivo animal models and in vitro models based on animal tissues can generate seizures and seizure-like phenomena. Although in some instances there is much known about the mechanism of seizure onset and termination, across the range of models there is a bewildering range of mechanisms. There is a pressing need to bridge the gap between microscale mechanisms in experimental models and mechanisms of human epilepsies. Computational models of epilepsy have advanced rapidly, allowing dynamic mechanisms to be revealed in a computer model that can then be tested in biological systems. These models are typically simplified, leaving a need to scale up these models to the large scale brain networks in which seizures become manifest. The emerging science of connectomics provides an approach to understanding the large scale brain networks in which normal and abnormal brain functions operate. The stage is now set to couple dynamics with connectomics, to reveal the abnormal dynamics of brain networks which allow seizures to occur.

Understanding the genetic causes of diseases that affect pancreatic β cells and neurons can give insights into pathways essential for both cell types. Microcephaly, epilepsy, and diabetes syndrome (MEDS) is a congenital disorder with two known etiological genes, IER3IP1 and YIPF5. Both genes encode proteins involved in endoplasmic reticulum (ER) to Golgi trafficking. We used genome sequencing to identify 6 individuals with MEDS caused by biallelic variants in the potentially novel disease gene TMEM167A. All had neonatal diabetes (diagnosed at <6 months) and severe microcephaly, and 5 also had epilepsy. TMEM167A is highly expressed in developing and adult human pancreas and brain. To gain insights into the mechanisms leading to diabetes, we silenced TMEM167A in EndoC-βH1 cells and knocked-in one patient's variant, p.Val59Glu, in induced pluripotent stem cells (iPSCs). Both TMEM167A depletion in EndoC-βH1 cells and the p.Val59Glu variant in iPSC-derived β cells sensitized β cells to ER stress. The p.Val59Glu variant impaired proinsulin trafficking to the Golgi and induced iPSC-β cell dysfunction. The discovery of TMEM167A variants as a genetic cause of MEDS highlights a critical role of TMEM167A in the ER to Golgi pathway in β cells and neurons.

Background A pharmaceutical grade formulation of cannabidiol (CBD) has been approved for the treatment of Dravet syndrome and Lennox-Gastaut syndrome; however, this formulation is not yet available to patients outside the USA. In addition, CBD is thought to have broad anti-seizure properties that may be beneficial for other types of intractable epilepsy. Objective The aim of this study was to evaluate the efficacy, safety and tolerability of artisanal medical CBD oil in patients with developmental and epileptic encephalopathy (DEE) at the tertiary epilepsy center of Bambino Gesù Children’s Hospital in Rome, Italy. Methods This was a single-center, prospective, open-label study. Patients aged from 1 to 18 years with DEE and seizures refractory to appropriate antiepileptic drugs (AEDs) and other alternative treatments (i.e., vagal nerve stimulator and ketogenic diet) were included. Crystalline extract CBD powder (98–99% pure) in an oil artisanal formulation was added to the baseline AED regimen at a dosage of 2–5 mg/kg/day divided for twice-daily administration, then up-titrated until intolerance or a maximum dosage of 25 mg/kg/day was reached. Patients were treated for at least 6 months. Efficacy, safety and tolerability of CBD treatment were assessed through the evaluation of seizure frequency and reports of adverse effects. Results Twenty-nine patients were enrolled in this study (41.4% male). The mean duration of exposure to artisanal CBD was 11.2 months [range 6–25 months; standard deviation (SD) ± 4.4 months]. Mean age at study enrollment was 9.3 years (range 1.9–16.3 years; SD ± 4.7 years). Eleven out of 29 patients (37.9%) had a ≥ 50% improvement in seizure frequency; one patient became seizure free. None of the patients reported worsening seizure frequency; however, 18 patients (62.1%) experienced no beneficial effect regarding seizure frequency. Adverse effects were reported in seven patients (24.14%), most commonly somnolence, decreased appetite and diarrhea. Adverse events were mild and transient, and no dose modification of CBD or other AEDs was required. Conclusions These data suggest that CBD may have beneficial effects in patients with DEE and an acceptable safety profile. Placebo-controlled randomized trials should be conducted to formally assess the safety and efficacy of CBD in patients with DEE.

Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE) is a new histopathological entity identified in the surgically resected brain tissue of patients with drug-resistant epilepsy. Somatic variants in SLC35A2 have been increasingly identified in MOGHE brain resections. SLC35A2 protein transports uridine 5’-diphosphogalactose (UDP-Gal) into the Golgi lumen, playing a crucial role in the process of N-glycosylation. Currently, research on the pathogenic mechanism of SLC35A2 variants in MOGHE is limited. Here we conducted genetic testing on brain samples and paired blood samples from 28 pediatric patients pathologically diagnosed with MOGHE. We performed an in-depth functional analysis of somatic variants identified in SLC35A2 , integrating glycan labeling and intact glycopeptide profiling to assess N-glycosylation defects. With whole-exome sequencing and validation with ultra-deep amplicon sequencing, we identified 101 potentially pathogenic somatic variants (PPSVs) across 87 genes. Nine PPSVs in SLC35A2 were found in 10 samples. The 9 identified variants of SLC35A2 , characterized by various mutation types (4 frameshift, 3 missense and 2 nonsense variants), were all confirmed to be loss-of-function via altered glycan chains. Intact glycopeptide analysis at the cellular level indicated an increase in truncated N-glycan glycoforms. Analysis of brain tissue revealed N-glycosylated proteins and glycosites modified with agalactosylated glycoforms, and glycoproteins bearing agalactosylated N-glycans were significantly enriched in cell adhesion and axon guidance-related pathways. Additionally, chemoenzymatic glycan labeling in lesions demonstrated N-glycan damage of heterotopic neurons, suggesting a potential diagnostic approach for MOGHE. Our findings provide a comprehensive somatic landscape of MOGHE and a rich resource of somatic SLC35A2 variant-related glycoform and glycoprotein abnormalities, thereby unveiling valuable insights into compromised N-glycosylation and MOGHE formation.

Epilepsy is one of the most common neurological disorders, yet its pathophysiology is poorly understood due to the high complexity of affected neuronal circuits. To identify dysfunctional neuronal subtypes underlying seizure activity in the human brain, we have performed single-nucleus transcriptomics analysis of >110,000 neuronal transcriptomes derived from temporal cortex samples of multiple temporal lobe epilepsy and non-epileptic subjects. We found that the largest transcriptomic changes occur in distinct neuronal subtypes from several families of principal neurons (L5-6_Fezf2 and L2-3_Cux2) and GABAergic interneurons (Sst and Pvalb), whereas other subtypes in the same families were less affected. Furthermore, the subtypes with the largest epilepsy-related transcriptomic changes may belong to the same circuit, since we observed coordinated transcriptomic shifts across these subtypes. Glutamate signaling exhibited one of the strongest dysregulations in epilepsy, highlighted by layer-wise transcriptional changes in multiple glutamate receptor genes and strong upregulation of genes coding for AMPA receptor auxiliary subunits. Overall, our data reveal a neuronal subtype-specific molecular phenotype of epilepsy. The pathophysiology of epilepsy is unclear. Here, the authors present single-nuclei transcriptomic profiling of human temporal lobe epilepsy from patients. They identified epilepsy-associated neuronal subtypes, and a panel of dysregulated genes, predicting neuronal circuits contributing to epilepsy.

Dendritic spines are the postsynaptic sites for most excitatory glutamatergic synapses. We previously demonstrated a severe spine loss and synaptic reorganization in human neocortices presenting Type II focal cortical dysplasia (FCD), a developmental malformation and frequent cause of drug‐resistant focal epilepsy. We extend the findings, investigating the potential role of complement components C1q and C3 in synaptic pruning imbalance. Data from Type II FCD were compared with those obtained in focal epilepsies with different etiologies. Neocortical tissues were collected from 20 subjects, mainly adults with a mean age at surgery of 31 years, admitted to epilepsy surgery with a neuropathological diagnosis of: cryptogenic, temporal lobe epilepsy with hippocampal sclerosis, and Type IIa/b FCD. Dendritic spine density quantitation, evaluated in a previous paper using Golgi impregnation, was available in a subgroup. Immunohistochemistry, in situ hybridization, electron microscopy, and organotypic cultures were utilized to study complement/microglial activation patterns. FCD Type II samples presenting dendritic spine loss were characterized by an activation of the classical complement pathway and microglial reactivity. In the same samples, a close relationship between microglial cells and dendritic segments/synapses was found. These features were consistently observed in Type IIb FCD and in 1 of 3 Type IIa cases. In other patient groups and in perilesional areas outside the dysplasia, not presenting spine loss, these features were not observed. In vitro treatment with complement proteins of organotypic slices of cortical tissue with no sign of FCD induced a reduction in dendritic spine density. These data suggest that dysregulation of the complement system plays a role in microglia‐mediated spine loss. This mechanism, known to be involved in the removal of redundant synapses during development, is likely reactivated in Type II FCD, particularly in Type IIb; local treatment with anticomplement drugs could in principle modify the course of disease in these patients.

Focal cortical dysplasia (FCD) type II is an important cause of drug-resistant epilepsy. Clinical presentation is variable, and depends on age of onset of seizures and the location and size of lesion. As FCD type II cannot be diagnosed with certainty in the clinic, in vivo identification by use of MRI is important. Diagnosis will have a major effect on management of this pathology as it should prompt referral for specialist assessment. Drug treatment commonly proves ineffective, whereas appropriate surgical treatment can be curative in many cases. The dramatic cellular anomalies of FCD seen at histopathology indicate a widespread pattern of molecular disruption underpinning the structural disorganisation of the cortex. The cause for FCD has not been firmly established, and there are no explanations for its potent intrinsic ability to cause seizures. There seem to be both neurodevelopmental abnormalities and possible premature neurodegeneration in FCD. Understanding the coordination of the abnormal processes in FCD type II might help to promote improved detection in vivo, direct treatment strategies, and perhaps help explain the development, differentiation, and loss of brain cells, with broad implications for the epilepsies and other neurological disorders.

The hippocampus and amygdala are key brain structures of the medial temporal lobe, involved in cognitive and emotional processes as well as pathological states such as epilepsy. Despite their importance, it is still unclear whether their  neural activity can be recorded non-invasively. Here, using simultaneous intracerebral and magnetoencephalography (MEG) recordings in patients with focal drug-resistant epilepsy, we demonstrate a direct contribution of amygdala and hippocampal activity to surface MEG recordings. In particular, a method of blind source separation, independent component analysis, enabled activity arising from large neocortical networks to be disentangled from that of deeper structures, whose amplitude at the surface was small but significant. This finding is highly relevant for our understanding of hippocampal and amygdala brain activity as it implies that their activity could potentially be measured non-invasively. Magnetoencephalography (MEG) is a non-invasive method of measuring neural activity but the hippocampus and amygdala are difficult to measure with MEG because of their deep localization. Here, the authors show with simultaneous MEG and invasive recordings that hippocampus and amygdala activity can be retrieved from the surface.

Focal malformations of cortical development (MCD) are linked to somatic brain mutations occurring during neurodevelopment. Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE) is a newly recognized clinico-pathological entity associated with pediatric drug-resistant focal epilepsy, and amenable to neurosurgical treatment. MOGHE is histopathologically characterized by clusters of increased oligodendroglial cell densities, patchy zones of hypomyelination, and heterotopic neurons in the white matter. The molecular etiology of MOGHE remained unknown so far. We hypothesized a contribution of mosaic brain variants and performed deep targeted gene sequencing on 20 surgical MOGHE brain samples from a single-center cohort of pediatric patients. We identified somatic pathogenic SLC35A2 variants in 9/20 (45%) patients with mosaic rates ranging from 7 to 52%. SLC35A2 encodes a UDP-galactose transporter, previously implicated in other malformations of cortical development (MCD) and a rare type of congenital disorder of glycosylation. To further clarify the histological features of SLC35A2 -brain tissues, we then collected 17 samples with pathogenic SLC35A2 variants from a multicenter cohort of MCD cases. Histopathological reassessment including anti-Olig2 staining confirmed a MOGHE diagnosis in all cases. Analysis by droplet digital PCR of pools of microdissected cells from one MOGHE tissue revealed a variant enrichment in clustered oligodendroglial cells and heterotopic neurons. Through an international consortium, we assembled an unprecedented series of 26 SLC35A2 -MOGHE cases providing evidence that mosaic SLC35A2 variants, likely occurred in a neuroglial progenitor cell during brain development, are a genetic marker for MOGHE.

There is growing evidence for the benefits of simultaneous EEG-fMRI as a non-invasive localising tool in the presurgical evaluation of epilepsy. However, many EEG-fMRI studies fail due to the absence of interictal epileptic discharges (IEDs) on EEG. Here we present an algorithm which makes use of fMRI as sole modality to localise the epileptogenic zone (EZ). Recent studies using various model-based or data-driven fMRI analysis techniques showed that it is feasible to find activation maps which are helpful in the detection of the EZ. However, there is lack of evidence that these techniques can be used prospectively, due to (a) their low specificity, (b) selecting multiple activation maps, or (c) a widespread epileptic network indicated by the selected maps. In the current study we present a method based on independent component analysis and a cascade of classifiers that exclusively detects a single map related to interictal epileptic brain activity. In order to establish the sensitivity and specificity of the proposed method, it was evaluated on a group of 18 EEG-negative patients with a single well-defined EZ and 13 healthy controls. The results show that our method provides maps which correctly indicate the EZ in several (N=4) EEG-negative cases but at the same time maintaining a high specificity (92%). We conclude that our fMRI-based approach can be used in a prospective manner, and can extend the applicability of fMRI to EEG-negative cases. •We presented a novel fMRI analysis technique in EEG-negative refractory epilepsy.•Underlying fMRI sources were extracted with independent component analysis (ICA).•A single epileptic source was selected using a supervised machine learning approach.•The method successfully localised the epileptogenic zone in several cases.•Being specific and fully automated, our fMRI-based approach can be used prospectively in clinical practice.