Trends in Neurosciences, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Trends in Neurosciences, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 19, 2025
Abstract Understanding the development of complex brain surface morphologies during fetal stage is essential for uncovering mechanisms behind disorders linked to abnormal cortical folding. However, knowledge spatiotemporal evolution landmarks limited due lack longitudinal data capturing multiple timepoints individual brains. In this study, we develop and validate a true-scale, image-based mechanical model explore sulcal pits in Our model, constructed using magnetic resonance imaging (MRI) scans from first timepoint data, predicts brain’s morphology by comparing distribution between predicted models MRI later timepoint. This dynamic elucidates how smooth with primary folds evolves form secondary tertiary folds. results align showing that are stable can serve as key markers linking prenatal postnatal characteristics. The provides robust platform study both healthy disordered brains, which crucial altered patterns seen such autism spectrum disorder (ASD), polymicrogyria, down syndrome, agenesis corpus callosum. research represents significant advancement understanding its connection manifest pit life.
Language: Английский
Citations
0Journal of Physics D Applied Physics, Journal Year: 2025, Volume and Issue: 58(17), P. 175401 - 175401
Published: March 5, 2025
Abstract Understanding axonal growth and pathfinding during cortical folding is crucial to unravel the mechanisms underlying brain disorders that disturb connectivity human development. However, this topic remains incompletely understood. Here, we propose evaluate a diffusion-based continuum model understand how axons grow navigate in brain. To do so, bilayer simulating was devised with thin gray matter (GM) overlying thick white (WM). The stochastic of linked stress deformation fields system. Results showed modulus ratio GM WM rate are two critical parameters influence axon demonstrated strong predictive capability identifying termination points offered potential explanation for why settle more gyri (ridges) than sulci (valleys). Importantly, findings suggest alterations mechanical properties system impact patterns. This insight enhances our understanding development fetal stage provides new perspectives on associated abnormalities disrupted connectivity.
Language: Английский
Citations
0Trends in Neurosciences, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0