bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.03.06.708552

Electrophysiologically Targeted Biopsies Reveal the Transcriptional Landscape of Focal Epilepsy

Abstract

Up to 30% of patients with epilepsy have intractable seizures, yet the mechanisms of focal ictogenesis remain unclear. Tissue involvement in ictal regions is heterogeneous, with different regions playing distinct roles in ictogenesis, seizure propagation, and resistance to spread. These roles are reflected in electrophysiologic differences between the seizure focus and the ictal penumbra, where evidence of synaptic spread is present but excitatory firing is constrained by largely intact inhibition. Investigation of the disruption of the normal interplay between excitatory and inhibitory activity, thought to underlie ictogenesis across a range of epilepsy etiologies, is limited by network complexity and cellular heterogeneity in human tissue samples. In this study, we relate cellular and molecular alterations to excitatory-inhibitory disruption in network dynamics defined by electrophysiologic features. This work may aid in the identification of clinically relevant tissue biomarkers and support novel preclinical therapeutic approaches for treatment-resistant focal epilepsy disorders. We developed a novel intracranial EEG guided, MRI-localized approach to sample paired biopsies from 11 patients with drug-resistant focal epilepsy with diverse etiologies, which were then studied using single-nucleus RNA sequencing (snRNAseq) and immunohistochemistry (IHC). EEG recorded from stereotactically implanted depth arrays (sEEG) was used to identify regions of epileptic involvement, based on findings from prior simultaneous clinical and microelectrode recordings. This approach addresses the intrinsic heterogeneity due to etiology and cortical architecture through paired, within-patient comparisons. We identified distinct cell-type specific transcriptional signatures that differentiate cellular populations in the seizure focus and ictal penumbra in intractable focal epilepsies. Our findings provide a link between tissue composition and gene expression that correlate with electrographic features in a heterogeneous seizure landscape. Our findings support common pathways of seizure generation and spread that are conserved across disease etiologies. Relative depletion of interneuron populations in the seizure focus supports the hypothesis of disrupted inhibition as a driver of epileptiform activity in the seizure focus. The enrichment of plasticity-associated gene signatures in the penumbra suggests a complex interaction of these regions with the seizure focus, as well as the role of the penumbra in enabling or limiting seizure expansion. This study provides a novel methodology for tissue sampling in epilepsy and uncovers biologically relevant tissue signatures that provide grounds for future work in targeting cellular and molecular alterations present in focal epilepsies.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Viswanathan, A., Murch, M., Brand, A., Furnari, J. L., Rolfe, N. W., Yadav, A., Stucke, C. H., Mahajan, A., Li, J., Kahle, A., Amini, M., Sands, T. T., Al-Dalahmah, O., Bruce, J. N., Gill, B. J. A., Feldstein, N. A., Youngerman, B. E., McKhann, G. M., Menon, V., Canoll, P., Winawer, M., Schevon, C. A.. 2026-03-10. Electrophysiologically Targeted Biopsies Reveal the Transcriptional Landscape of Focal Epilepsy. https://doi.org/10.64898/2026.03.06.708552

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

KEEP EXPLORING

Related preprints

A systems-level model of sleep-dependent memory-consolidation failure in neurodegeneration: the spindle-slow-oscillation decoupling cascade dissociates amyloid and tau

During non-rapid-eye-movement (NREM) sleep, the temporal coupling of cortical slow oscillations (SOs), thalamic spindles, and hippocampal sharp wave ripples drives the consolidation of declarative memories. This coupling degrades in ageing and Alzheimers disease (AD), and although A{beta} and tau leave dissociable signatures in human sleep, the mechanisms by which progressive pathology dismantles the consolidation machinery are difficult to isolate experimentally, and have not to our knowledge been reproduced in a model that can be perturbed directly. We built a systems-level model in which cortical SOs and thalamic spindles are generated by reduced oscillators, hippocampal ripples replay encoded spike sequences, and the measured per-event SO-spindle timing alignment causally gates spike-timing dependent plasticity on cortical sequence synapses. A post-sleep cued-recall test reads out consolidation. Five neurodegeneration parameters (amyloid, tau, synaptic density, GABAergic inhibition, cholinergic tone) map to dis tinct mechanisms grounded in the human and animal literature. The model reproduces graded healthy consolidation and a progressive collapse in which coupling, slow-wave power, spindle power and recall fall monotonically and the overnight memory effect flips from consolidation to net forgetting, with weak memories failing first. Scrambling SO-spindle timing while holding oscillation power fixed abolishes consolidation, establishing that coupling timing, rather than oscillation power, is what the plasticity gate depends on within the model. A{beta} and tau impair memory through orthogonal signatures (A{beta} collapses slow-wave power while sparing replay order, tau the reverse) and this orthogonality holds across the entire A{beta} x tau plane and survives simultaneous {+/-}50% resampling of every mapping coefficient (40/40 samples), so it is not an artefact of a single calibration point. The model yields a falsifiable clinical prediction: closed-loop slow-oscillation enhancement rescues memory only when the deficit is amplitude/coupling-dominated, not when it is replay(tau)-dominated, despite normalising slow-wave power in both cases. Because the therapy arms dissociate coupling from memory benefit, the model also cautions against adopting SO-spindle coupling as a standalone surrogate endpoint.

neuroscience↗

Toxicity of MAPT 4R RNA Contributes to Motor Neuron Degeneration in ALS

MAPT (Tau) dysregulation is implicated in several neurodegenerative diseases, but its contribution to amyotrophic lateral sclerosis (ALS) is poorly understood. Here we show that mRNA isoforms encoding 4-repeat (4R) Tau are upregulated and cytoplasmically enriched in iPSC-derived motor neurons (MNs) from VCP-mutant and sporadic ALS, without a corresponding change in Tau protein. Using splice-switching antisense oligonucleotides and isoform-specific siRNAs, we find that enhanced 4R expression reduces MN viability, whereas its selective knockdown improves survival, with kinetics more consistent with an RNA-intrinsic effect than altered protein synthesis. Exon 10-containing MAPT RNA shows increased predicted secondary structure, self-association and altered Tau biocondensation in vitro. In post-mortem ALS cervical spinal cord, increased relative exon 10 usage is associated with a higher-risk clinical phenotype and shorter disease duration These findings identify an isoform-specific contribution of MAPT to MN vulnerability in ALS and nominate 4R MAPT RNA as a therapeutic target.

neuroscience↗

30 Hz High-Definition Transcranial Alternating Current Stimulation at the Left Frontal Cortex Reduces the Spectral Slope of the EEG in the Contralateral Hemisphere

Background: High-definition transcranial alternating current stimulation (HD-tACS) is favored by the neurostimulation community for its precision and ability to influence neuronal dynamics. Yet, the exact mechanism by which the underlying brain structures are being affected remains unclear. We believe that the investigation of the aperiodic nature of the electroencephalograph (EEG) could shed light on the modulatory effects of HD-tACS. Methods: We analyzed the EEG of 9 participants during a compensatory tracking task (CTT) in two sessions, each with different HD-tACS protocols. Every session consisted of an initial period of no stimulation, followed by 30 Hz HD-tACS in the left motor (M30) or frontal (F30) cortex. We then isolated the aperiodic component of the EEG and calculated its spectral slope {beta}. Results and Discussion: {beta} decreased during F30 mainly in the right frontal cortex, indicating a shift towards higher frequencies and an increase of the excitatory/inhibitory balance. Additionally, we found that despite the long monotonus task the accuracy of the participants did not decrease, which might be attributed to the ability of both M30 and F30 to sustain attention for prolonged time. Finally, the change of CTT accuracy during the stimulation correlated with the {beta} of specific channels before the stimulation. This indicates the potential of {beta} to be used as a screening biomarker in future studies. In conclusion, we showed the ability of HD-tACS to alter EEG aperiodic dynamics and paved the way for future exploration of such dynamics in the field.

neuroscience↗