ArticleCNS neuroscience & therapeutics2026
Linking Cortical Morphometry in Self-Limited Epilepsy With Centrotemporal Spikes to Cognition, Function, and Molecular Architecture.
Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
aimsSelf-limiting epilepsy with centrotemporal spikes (SeLECTS) is the most common type of pediatric epilepsy, characterized by age-dependent seizures, which usually occur during the development of a child's brain. This condition is associated with heterogeneous neurodevelopmental alterations, including cortical thinning, changes in subcortical structures, and atypical development linked to the disease.
methodsTo establish an integrative model of neurodevelopment in SeLECTS, we investigated how its structural brain alterations are linked to clinical phenotypes, aberrant brain network function, and the local molecular architecture. Using normative modeling, we analyzed magnetic resonance imaging (MRI)-derived morphometric features, specifically cortical thickness and subcortical volumes, in a multicenter preschool cohort (devCCNP, n = 457) and a SeLECTS cohort (n = 187) and generated deviation matrices specific to SeLECTS.
resultsNonnegative matrix factorization was applied to decompose these matrices into eight deviation components, revealing biologically interpretable patterns of heterogeneity, along with subject-specific loadings that quantify the expression of these components in individual subjects. Behavioral partial least squares analysis identified significant associations between subject-specific loadings and phenotypic profiles in SeLECTS, suggesting that factors such as age, medication history, and disease duration are important for morphological development-particularly in temporal and frontal regions associated with cognitive control and language. Furthermore, we explored the molecular basis of the morphometric deviation components by mapping their spatial expression to features related to functional cognition, neurotransmitter/transcript profiles, and mitochondrial characteristics.
conclusionCollectively, this study provides a novel framework for elucidating the neuroanatomical heterogeneity of epilepsy, offering insights into its behavioral and molecular correlates.
Indexed as
Identifiers
What OpenQuestion holds
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.