ArticleHuman brain mapping2019
Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch-based group-wise sparse representation.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Unique local gradient-based functional fingerprints enable precisely identifying individual infants over ages.Developmental cognitive neuroscience · 2026Article
- Microbes on the Mind: Multi-modal Neuroimaging Reveals Gut-Brain Axes in Infants.bioRxiv : the preprint server for biology · 2026Article
- Article
- Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories.bioRxiv : the preprint server for biology · 2025Article
- UNSUPERVISED CORTICAL SURFACE REGISTRATION NETWORK FOR ALIGNING GYRALNET.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025Article
- Alteration in Cortical Structure Mediating the Impact of Blood Oxygen-Carrying Capacity on Gross Motor Skills in Infants With Complex Congenital Heart Disease.Human brain mapping · 2025Article
- Article
- Local Gradients of Functional Connectivity Enable Precise Fingerprinting of Infant Brains During Dynamic Development.bioRxiv : the preprint server for biology · 2024Article
- Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning.Medical image analysis · 2024Article
- Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Functional connectome through the human life span.bioRxiv : the preprint server for biology · 2024Article
- Diffusion MRI harmonization via personalized template mapping.Human brain mapping · 2024Article
- Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net.Frontiers in neuroscience · 2024Article
- Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Mapping Genetic Topography of Cortical Thickness and Surface Area in Neonatal Brains.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction.Nature protocols · 2023Review
- Spherical Transformer on Cortical Surfaces.Machine learning in medical imaging. MLMI (Workshop) · 2022Article
- Developmental abnormalities of structural covariance networks of cortical thickness and surface area in autistic infants within the first 2 years.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
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6 authors.
Funding
Abstract
4D (spatial + temporal) infant cortical surface atlases covering dense time points are highly needed for understanding dynamic early brain development. In this article, we construct a set of 4D infant cortical surface atlases with longitudinally consistent and sharp cortical attribute patterns at 11 time points in the first six postnatal years, that is, at 1, 3, 6, 9, 12, 18, 24, 36, 48, 60, and 72 months of age, which is targeted for better normalization of the dynamic changing early brain cortical surfaces. To ensure longitudinal consistency and unbiasedness, we adopt a two-stage group-wise surface registration. To preserve sharp cortical attribute patterns on the atlas, instead of simply averaging over the coregistered cortical surfaces, we leverage a spherical patch-based sparse representation using the augmented dictionary to overcome the potential registration errors. Our atlases provide not only geometric attributes of the cortical folding, but also cortical thickness and myelin content. Therefore, to address the consistency across different cortical attributes on the atlas, instead of sparsely representing each attribute independently, we jointly represent all cortical attributes with a group-wise sparsity constraint. In addition, to further facilitate region-based analysis using our atlases, we have also provided two widely used parcellations, that is, FreeSurfer parcellation and multimodal parcellation, on our 4D infant cortical surface atlases. Compared to cortical surface atlases constructed with other methods, our cortical surface atlases preserve sharper cortical folding attribute patterns, thus leading to better accuracy in registration of individual infant cortical surfaces to the atlas.
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