Conde, E. | bioRxiv Science

bioRxiv2025

Emergence of high-connectivity states before epileptic seizures: Multi-patient validation, physiological correlates, and network modeling

Objective.Epilepsy affects around 50 million people worldwide, and reliable pre-seizure biomarkers could significantly improve neuromodulation therapies for drug-resistant patients. Recent research using stereo-electroencephalography (sEEG) has revealed transient changes in network dynamics preceding seizures. In particular, our previous work showed that these alterations are driven by recurrent, short-lasting (0.6 s) high-connectivity network configurations--termed High-Connectivity States (HCS). Here, we aim to replicate and further characterize HCS as a biomarker in a multicentric patient cohort, assess its robustness across recording modalities and montages, explore its relationship with interpretable physiological variables, and examine its network-level association with seizure-onset zone (SOZ) dynamics. Approach.We analyzed long-term intracranial EEG (iEEG) recordings from 12 patients with sEEG and electrocorticography (ECoG). In two patients with extensive clinical information, we examined the interplay between HCS and SOZ dynamics. We also developed a low-dimensional stochastic network model to investigate mechanistic rationales of HCS emergence. Additionally, we compared HCS dynamics with gamma-band activity and heart rate, and tested robustness across different montage configurations. Main Results.In most patients, HCS probability reliably increased hours before seizure onset. In the two deeply characterized patients, this increase was specifically linked to an increased network centrality within the SOZ. The network model revealed that changes in HCS probability stem primarily from topological reconfigurations rather than changes in mean connectivity, underscoring the importance of dynamic interactions between epileptogenic and non-epileptogenic regions. Significance.These results support HCS probability as a promising biomarker for early seizure prediction and offer mechanistic insights into pre-seizure brain network dynamics.

neuroscience↗

bioRxiv2023

Characterization of peroxidasin expression in histologically normal human adult and fetal kidney tissue

Peroxidasin (PXDN) is an enzyme of the peroxidase family that plays a critical role in extracellular matrix (ECM) formation and tissue development. In the kidney, very few studies using animal cells suggested that PXDN may have a role in the maintenance of the structural and functional integrity of the renal ECM. Still, the normal expression and (patho)physiological roles of PDXN in the mature and developing human kidney remain unknown. In this work we used fluorescent immunohistochemistry and advanced microscopy and image processing methodologies to perform a quantitative characterization of PXDN expression in the different anatomic compartments of histologically normal kidney tissue, obtained from adult nephrectomy specimens, and from postmortem fetal and neonatal kidney specimens (excluding death by kidney disease and genitourinary developmental anomalies). Results show that PXDN is expressed in all mature kidney compartments, but at significantly higher levels in tubular epithelial cells, particularly in the distal tubules. A similar PXDN expression pattern was observed in the developing kidney, as early as the in the comma-shaped-body stage. In the fetal kidney, PXDN was diffusely expressed in the branches of the ureteric bud but not in the cells of the metanephric blastema. This is the first demonstration that PXDN is differentially expressed in histologically normal human renal parenchyma, exhibiting a remarkably consistent pattern of predominant tubular expression since the early stages of metanephrogenesis This data suggests a relevant, compartment-specific, role of PXDN in nephrogenesis and in the kidney physiology, highlighting a main role in tubular functions, that is worth further investigation.

physiology↗