ArticleNeuroImage2019
A framework for multi-component analysis of diffusion MRI data over the neonatal period.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Insights into temporal and spatial dynamics of short association fiber formation in the human fetal brain.Science advances · 2026Article
- Article
- Diffusion MRI Microstructure Markers of Changes in the Human Brain Across the Lifespan Using Constrained Spherical Deconvolution and Fixel-Based Techniques.Human brain mapping · 2025Article
- Deep Learning for fODF Estimation in Infant Brains: Model Comparison, Ground-Truth Impact, and Domain Shift Mitigation.Human brain mapping · 2025Article
- 7 Tesla fMRI characterisation of the cortical-depth-dependent BOLD response in early human development.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- White matter connections of human ventral temporal cortex are organized by cytoarchitecture, eccentricity and category-selectivity from birth.Nature human behaviour · 2025Article
- Small brains but big challenges: white matter tractography in early life samples.Brain structure & function · 2025Article
- Longitudinal trajectories of brain development from infancy to school age and their relationship to literacy development.bioRxiv : the preprint server for biology · 2025Article
- Autism common variants associated with white matter alterations at birth: cross-sectional fixel-based analyses of 221 European term-born neonates from the developing human connectome project.Translational psychiatry · 2025Article
- White matter connections of human ventral temporal cortex are organized by cytoarchitecture, eccentricity, and category-selectivity from birth.bioRxiv : the preprint server for biology · 2025Article
- Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time.Frontiers in neuroscience · 2025Article
- Streamline tractography of the fetal brain in utero with machine learning.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains.ArXiv · 2024Article
- Characterizing normal perinatal development of the human brain structural connectivity.Human brain mapping · 2024Article
- Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.Medical image analysis · 2024Article
- Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo.bioRxiv : the preprint server for biology · 2024Article
- Structural connectivity at term equivalent age and language in preterm children at 2 years corrected.Brain communications · 2024Article
- Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study.bioRxiv : the preprint server for biology · 2023Article
- Maturational networks of human fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure.Communications biology · 2023Article
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10 authors.
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Abstract
We describe a framework for creating a time-resolved group average template of the developing brain using advanced multi-shell high angular resolution diffusion imaging data, for use in group voxel or fixel-wise analysis, atlas-building, and related applications. This relies on the recently proposed multi-shell multi-tissue constrained spherical deconvolution (MSMT-CSD) technique. We decompose the signal into one isotropic component and two anisotropic components, with response functions estimated from cerebrospinal fluid and white matter in the youngest and oldest participant groups, respectively. We build an orientationally-resolved template of those tissue components from data acquired from 113 babies between 33 and 44 weeks postmenstrual age, imaged as part of the Developing Human Connectome Project. These data were split into weekly groups, and registered to the corresponding group average templates using a previously-proposed non-linear diffeomorphic registration framework, designed to align orientation density functions (ODF). This framework was extended to allow the use of the multiple contrasts provided by the multi-tissue decomposition, and shown to provide superior alignment. Finally, the weekly templates were registered to the same common template to facilitate investigations into the evolution of the different components as a function of age. The resulting multi-tissue atlas provides insights into brain development and accompanying changes in microstructure, and forms the basis for future longitudinal investigations into healthy and pathological white matter maturation.
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