ArticleNeuroImage2022
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Microbes on the Mind: Multi-modal Neuroimaging Reveals Gut-Brain Axes in Infants.bioRxiv : the preprint server for biology · 2026Article
- Division-Specific Organization of a Shared Functional Scaffold in the Early-Life Human Brain.bioRxiv : the preprint server for biology · 2026Article
- Brain structural and functional connectivity converge prenatally but diverge after birth.PLoS biology · 2026Article
- Language network functional connectivity in infancy predicts developmental language trajectories.Developmental cognitive neuroscience · 2026Article
- miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.Human brain mapping · 2026Article
- MRI-based structural development of the human newborn hypothalamus.Developmental cognitive neuroscience · 2026Article
- Surface expansion regionalization of the hippocampus in early brain development.Developmental cognitive neuroscience · 2026Article
- Wired from the womb: a narrative review of fetal and neonatal connectomics via fMRI and emerging neurotechnologies.Pediatric research · 2026Review
- Perinatal hardship and infant neurodevelopment: insights from a global pandemic.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Robustness of NeuroMark-Derived Functional Networks to fMRI Spatial Normalization Across the Human Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Explicitly nonlinear fMRI networks reveal hidden trajectories of infant brain development.bioRxiv : the preprint server for biology · 2026Article
- Early neurodevelopmental brain perfusion abnormalities and functional connectivity findings in infants with Prader-Willi syndrome.Journal of neurodevelopmental disorders · 2026Article
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- Early life phthalate and replacement plasticizer exposures and changes in early childhood brain functional connectivity and structural morphology.Environment international · 2026Article
- Hierarchical maturation of structural brain connectomes from birth to childhood.Nature communications · 2026Article
- Deciphering multiway multiscale brain network connectivity from birth to 6 months.Communications biology · 2026Article
- Antenatal maternal anaemia and infant brain structure: high-field (3 T) and ultra-low-field (64 mT) MRI findings from South Africa.Brain communications · 2026Article
- Feasibility and Validity of Ultra-Low-Field MRI for Measurement of Regional Infant Brain Volumes in Structures Associated With Antenatal Maternal Anemia.Human brain mapping · 2026Article
- Spatial development of brain networks during the first six postnatal months.Communications biology · 2025Article
- Language network functional connectivity in infancy predicts developmental language trajectories.bioRxiv : the preprint server for biology · 2025Article
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9 authors.
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Abstract
Spatiotemporal (four-dimensional) infant-dedicated brain atlases are essential for neuroimaging analysis of early dynamic brain development. However, due to the substantial technical challenges in the acquisition and processing of infant brain MR images, 4D atlases densely covering the dynamic brain development during infancy are still scarce. Few existing ones generally have fuzzy tissue contrast and low spatiotemporal resolution, leading to degraded accuracy of atlas-based normalization and subsequent analyses. To address this issue, in this paper, we construct a 4D structural MRI atlas for infant brains based on the UNC/UMN Baby Connectome Project (BCP) dataset, which features a high spatial resolution, extensive age-range coverage, and densely sampled time points. Specifically, 542 longitudinal T1w and T2w scans from 240 typically developing infants up to 26-month of age were utilized for our atlas construction. To improve the co-registration accuracy of the infant brain images, which typically exhibit dynamic appearance with low tissue contrast, we employed the state-of-the-art registration method and leveraged our generated reliable brain tissue probability maps in addition to the intensity images to improve the alignment of individual images. To achieve consistent region labeling on both infant and adult brain images for facilitating region-based analysis across ages, we mapped the widely used Desikan cortical parcellation onto our atlas by following an age-decreasing mapping manner. Meanwhile, the typical subcortical structures were manually delineated to facilitate the studies related to the subcortex. Compared with the existing infant brain atlases, our 4D atlas has much higher spatiotemporal resolution and preserves more structural details, and thus can boost accuracy in neurodevelopmental analysis during infancy.
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