ArticleHuman brain mapping2025
Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.
Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Biophysical modeling of anatomically realistic prenatal cortical folding development.Nature communications · 2026Article
- Biophysical modeling of anatomically realistic prenatal cortical folding development.Research square · 2026Article
- Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.Human brain mapping · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Understanding the development of complex brain surface morphologies during the fetal stage is essential for uncovering mechanisms underlying brain disorders linked to abnormal cortical folding. However, knowledge of the spatiotemporal evolution of fetal brain landmarks remains limited due to the lack of longitudinal data capturing multiple timepoints for individual brains. In this study, we develop and validate an image-based true-scale mechanical model to investigate the spatiotemporal evolution of brain sulcal pits in individual fetal brains. Altered sulcal pits patterns have been observed in disorders such as autism spectrum disorder (ASD), polymicrogyria, Down syndrome, and agenesis of the corpus callosum. Our model, constructed using magnetic resonance imaging (MRI) scans from the first timepoint of longitudinal data, predicts the brain's surface morphology by comparing the distribution of sulcal pits between the predicted models and MRI scans from a later timepoint. This dynamic model simulates how a smooth fetal brain with primary folds evolves into a convoluted morphology. Our results align with imaging data, showing that sulcal pits are stable during brain development and can serve as key markers linking prenatal and postnatal brain characteristics. The model provides a platform for future hypothesis testing and for studying the effects of mechanical parameters on the evolution of sulcal pits in both healthy and disordered brains. This research represents a significant advancement in understanding fetal brain development and its connection to disorders that manifest as abnormal sulcal pit patterns later in life.
Indexed as
Identifiers
What Socratic 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 Socratic graph.