ReviewNeuroImage2019
Computational neuroanatomy of baby brains: A review.
Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis 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
106 citing papers in PubMed, 1 synthesis or guideline pooled it.
- (Un)common space in infant neuroimaging studies: A systematic review of infant templates.Human brain mapping · 2022Pooled it
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.Human brain mapping · 2026Article
- BIBSNet: A deep learning baby image brain segmentation network for MRI scans.Developmental cognitive neuroscience · 2026Article
- Effects of infant touch on the growth and neurodevelopment of preterm infants.Pakistan journal of medical sciences · 2026Article
- Magnetic resonance imaging-based assessment of hippocampal glutamate and morphometric changes in preterm infants at term-equivalent age with low birth weight.Pediatric radiology · 2026Article
- Cortical Morphology and Morphometric Similarity Network Topology Alterations in Preterm Neonates: Insights From an East Asian Cohort.Human brain mapping · 2025Article
- Article
- 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
- The FinnBrain multimodal neonatal template and atlas collection.Communications biology · 2025Article
- Longitudinal trajectories of brain development from infancy to school age and their relationship to literacy development.bioRxiv : the preprint server for biology · 2025Article
- Multimodal MRI analysis of COVID-19 effects on pediatric brain.Scientific reports · 2025Article
- A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks.Nature biomedical engineering · 2025Article
- Article
- Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.PloS one · 2025Article
- Groupwise registration of infant brain diffusion tensor images using intermediate subgroup templates.PloS one · 2025Article
- Novel Mammillary Body Manual Segmentation: Application for Quantitative MRI Analysis of Critically Ill Infants.Clinical neuroimaging (Hoboken, N.J.) · 2025Article
- 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
- Intrinsic Infant Hippocampal Function Supports Inhibitory Processing.Developmental psychobiology · 2024Article
46 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The first postnatal years are an exceptionally dynamic and critical period of structural, functional and connectivity development of the human brain. The increasing availability of non-invasive infant brain MR images provides unprecedented opportunities for accurate and reliable charting of dynamic early brain developmental trajectories in understanding normative and aberrant growth. However, infant brain MR images typically exhibit reduced tissue contrast (especially around 6 months of age), large within-tissue intensity variations, and regionally-heterogeneous, dynamic changes, in comparison with adult brain MR images. Consequently, the existing computational tools developed typically for adult brains are not suitable for infant brain MR image processing. To address these challenges, many infant-tailored computational methods have been proposed for computational neuroanatomy of infant brains. In this review paper, we provide a comprehensive review of the state-of-the-art computational methods for infant brain MRI processing and analysis, which have advanced our understanding of early postnatal brain development. We also summarize publically available infant-dedicated resources, including MRI datasets, computational tools, grand challenges, and brain atlases. Finally, we discuss the limitations in current research and suggest potential future research directions.
Indexed as
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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.