Dysmorphic neuron density is highest in the centre of epileptogenic cortical tubers

Stephenson, S. E. M.; Owens, H. G.; Richards, K. L.; Lee, W. S.; DArcy, C.; Barton, S.; Mandelstam, S. A.; Maixner, W. J.; MacGregor, D.; Petrou, S.; Lockhart, P. J.; Harvey, A. S.; Leventer, R. J.

doi:10.1101/621607

bioRxiv · 10.1101/621607

Dysmorphic neuron density is highest in the centre of epileptogenic cortical tubers

Stephenson, S. E. M.·Owens, H. G.·Richards, K. L.·Lee, W. S.·DArcy, C.·Barton, S.·Mandelstam, S. A.·Maixner, W. J.·MacGregor, D.·Petrou, S.·Lockhart, P. J.·Harvey, A. S.·Leventer, R. J.

View original source ↗Export metadata ↓

Abstract

Cortical tubers are benign lesions that develop in patients with tuberous sclerosis complex (TSC), often resulting in drug-resistant epilepsy. Surgical resection may be required for seizure control, but the extent of the resection required is unclear. Many centres include resection of perituberal cortex, which may be associated with neurological deficits. Also, patients with tubers in eloquent cortex may be excluded from epilepsy surgery.\n\nOur electrophysiological and MRI studies indicate that the tuber centre is the source of seizures, suggesting that smaller resections may be sufficient for seizure control. Here we report five epilepsy surgeries in four children with TSC and focal motor seizures from solitary epileptogenic tubers in the sensorimotor cortex in whom the resection was limited to the tuber centre, leaving the tuber rim and surrounding perituberal cortex intact. Seizures were eliminated in all cases, and no functional deficits were observed. On routine histopathology we observed an apparent increase in density of dysmorphic neurons at the tuber centre, which we confirmed using unbiased stereology which demonstrated a significantly greater density of dysmorphic neurons within the resected tuber centre (1951 {+/-} 215 cells/mm3) compared to the biopsied tuber rim (531 {+/-} 189 cells/mm3, n = 4, p = 0.008).\n\nTaken together with our previous electrophysiological and MRI studies implicating the tuber centre as the focus of epileptic activity, and other electrophysiological studies of dysmorphic neurons in focal cortical dysplasia, this study supports the hypothesis that dysmorphic neurons concentrated at the tuber centre are the seizure generators in TSC. Furthermore, our results support limiting resection to the tuber centre, decreasing the risk of neurological deficits when tubers are located within eloquent cortex.

Explore related subjects

neuroscience Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Stephenson, S. E. M., Owens, H. G., Richards, K. L., Lee, W. S., DArcy, C., Barton, S., Mandelstam, S. A., Maixner, W. J., MacGregor, D., Petrou, S., Lockhart, P. J., Harvey, A. S., Leventer, R. J.. 2019-04-29. Dysmorphic neuron density is highest in the centre of epileptogenic cortical tubers. https://doi.org/10.1101/621607

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

bioRxiv2026

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

bioRxiv2026

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗