Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain
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View abstract on PubMed
Summary
This summary is machine-generated.This study models fetal brain development, revealing stable sulcal pits as key markers for brain disorders. The findings enhance understanding of cortical folding and its links to conditions like autism spectrum disorder (ASD).
Area Of Science
- Neuroscience
- Developmental Biology
- Biomechanical Engineering
Background
- Understanding fetal brain development, particularly cortical folding, is crucial for identifying mechanisms behind brain disorders.
- Limited longitudinal data hinders the study of spatiotemporal evolution of fetal brain landmarks like sulcal pits.
- Abnormal sulcal pit patterns are associated with various neurodevelopmental disorders, including autism spectrum disorder (ASD), polymicrogyria, Down syndrome, and agenesis of the corpus callosum.
Purpose Of The Study
- To develop and validate an image-based, true-scale mechanical model for investigating the spatiotemporal evolution of sulcal pits in individual fetal brains.
- To simulate the dynamic process of fetal brain surface morphology development from primary folds to convoluted structures.
- To establish sulcal pits as stable developmental markers linking prenatal and postnatal brain characteristics.
Main Methods
- Construction of a mechanical model using magnetic resonance imaging (MRI) scans from the initial timepoint of longitudinal data.
- Prediction of fetal brain surface morphology by comparing sulcal pit distribution between the model and later MRI scans.
- Simulation of the evolution of brain morphology from a smooth surface with primary folds to a convoluted structure.
Main Results
- The developed model accurately predicts brain surface morphology, aligning with longitudinal imaging data.
- Sulcal pits demonstrate stability throughout fetal brain development.
- The study confirms sulcal pits as reliable markers connecting prenatal and postnatal brain development.
Conclusions
- The image-based mechanical model provides a novel platform for studying fetal brain development and abnormal cortical folding.
- Stable sulcal pit patterns are significant indicators for understanding neurodevelopmental disorders with altered brain morphology.
- This research advances the understanding of fetal brain development and its implications for disorders characterized by abnormal sulcal pit patterns.
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