ReviewNeuroImage2019
Baby brain atlases.
Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Fetal brain MRI atlases and datasets: A review.NeuroImage · 2024Pooled it
- (Un)common space in infant neuroimaging studies: A systematic review of infant templates.Human brain mapping · 2022Pooled it
- Functional changes of precuneus architecture across newborns, infants, and early adolescents.Scientific reports · 2026Article
- The generalizability of cortical area parcellations across early childhood.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- The FinnBrain multimodal neonatal template and atlas collection.Communications biology · 2025Article
- A detailed spatiotemporal atlas of the white matter tracts for the fetal brain.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Functional connectivity as a prognostic biomarker for neurodevelopmental outcomes in preterm infants without severe brain injury.Brain communications · 2025Article
- OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.Human brain mapping · 2024Article
- Machine-learning based prediction of future outcome using multimodal MRI during early childhood.Seminars in fetal & neonatal medicine · 2024Review
- Developmental mouse brain common coordinate framework.Nature communications · 2024Article
- Characterizing normal perinatal development of the human brain structural connectivity.Human brain mapping · 2024Article
- A diffusion tensor imaging white matter atlas of the domestic canine brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Diffusion-tensor-imaging 1-year-old and 2-year-old infant brain atlases with comprehensive gray and white matter labels.Human brain mapping · 2024Article
- A detailed spatio-temporal atlas of the white matter tracts for the fetal brain.bioRxiv : the preprint server for biology · 2024Article
- Quantification of Diffusion Magnetic Resonance Imaging for Prognostic Prediction of Neonatal Hypoxic-Ischemic Encephalopathy.Developmental neuroscience · 2024Review
- Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023Article
- Roadmap for Postnatal Brain Maturation: Changes in Gray and White Matter Composition during Development Measured by Fourier Transformed Infrared Microspectroscopy.ACS chemical neuroscience · 2023Article
- Neuromorphological Atlas of Human Prenatal Brain Development: White Paper.Life (Basel, Switzerland) · 2023Article
- Development of neonatal brain functional centrality and alterations associated with preterm birth.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry.Frontiers in neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
The baby brain is constantly changing due to its active neurodevelopment, and research into the baby brain is one of the frontiers in neuroscience. To help guide neuroscientists and clinicians in their investigation of this frontier, maps of the baby brain, which contain a priori knowledge about neurodevelopment and anatomy, are essential. "Brain atlas" in this review refers to a 3D-brain image with a set of reference labels, such as a parcellation map, as the anatomical reference that guides the mapping of the brain. Recent advancements in scanners, sequences, and motion control methodologies enable the creation of various types of high-resolution baby brain atlases. What is becoming clear is that one atlas is not sufficient to characterize the existing knowledge about the anatomical variations, disease-related anatomical alterations, and the variations in time-dependent changes. In this review, the types and roles of the human baby brain MRI atlases that are currently available are described and discussed, and future directions in the field of developmental neuroscience and its clinical applications are proposed. The potential use of disease-based atlases to characterize clinically relevant information, such as clinical labels, in addition to conventional anatomical labels, is also discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.