ArticleiScience2026
Assessing the degree of cortical dislamination through electrical pattern analysis.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Focal cortical dysplasia (FCD) is a leading cause of pharmacoresistant epilepsy in pediatric populations, yet its role in epileptogenesis remains incompletely understood. Recent findings suggest that hyperexcitability may originate in non-dysplastic peripheral areas rather than the malformation itself. However, given the significant variability across FCD cases, clarifying whether cytoarchitectural disorganization drives activity changes remains challenging. Using the carmustine-induced animal model, we investigated how varying degrees of cortical malformation influence neural dynamics. Local field potentials were recorded via multielectrode arrays during spontaneous activity and external perturbation. We introduced a novel metric to quantify spatial heterogeneity in signal organization and assessed its association with excitation-inhibition balance. Results show that alterations in signal structure correlate with the extent and distribution of cortical abnormalities, highlighting the functional relevance of cytoarchitectural variability. This work advances understanding of FCD-related network dysfunction and offers analytical tools with potential translational value for pre-surgical evaluation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.