ArticlePLoS computational biology2022
Orchestrated neuronal migration and cortical folding: A computational and experimental study.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Astrocytes in white matter respond to tensile cues during cortical folding: a numerical study.bioRxiv : the preprint server for biology · 2025Article
- Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.Human brain mapping · 2025Article
- Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and TNeuroinformatics · 2025Article
- Article
- Exploring the role of different cell types on cortical folding in the developing human brain through computational modeling.Scientific reports · 2024Article
- Sulcal variability in anterior lateral prefrontal cortex contributes to variability in reasoning performance among young adults.Brain structure & function · 2024Article
- Mechanical hierarchy in the formation and modulation of cortical folding patterns.Scientific reports · 2023Article
- Exploring the role of the outer subventricular zone during cortical folding through a physics-based model.eLife · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain development involves precisely orchestrated genetic, biochemical, and mechanical events. At the cellular level, neuronal proliferation in the innermost zone of the brain followed by migration towards the outermost layer results in a rapid increase in brain surface area, outpacing the volumetric growth of the brain, and forming the highly folded cortex. This work aims to provide mechanistic insights into the process of brain development and cortical folding using a biomechanical model that couples cell division and migration with volumetric growth. Unlike phenomenological growth models, our model tracks the spatio-temporal development of cohorts of neurons born at different times, with each cohort modeled separately as an advection-diffusion process and the total cell density determining the extent of volume growth. We numerically implement our model in Abaqus/Standard (2020) by writing user-defined element (UEL) subroutines. For model calibration, we apply in utero electroporation (IUE) to ferret brains to visualize and track cohorts of neurons born at different stages of embryonic development. Our calibrated simulations of cortical folding align qualitatively with the ferret experiments. We have made our experimental data and finite-element implementation available online to offer other researchers a modeling platform for future study of neurological disorders associated with atypical neurodevelopment and cortical malformations.
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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.