SynthesisNeuroImage2024
Fetal brain MRI atlases and datasets: A review.
Synthesis in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 26 citations in OpenAlex.
- MRI-based assessment of fetal brain gyrification: Reliability across two methods.Neuroimage. Reports · 2026Article
- MRI-based spatio-temporal atlas of ganglionic eminence.European radiology experimental · 2026Article
- Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.Medical image analysis · 2026Article
- Fetal brain volumes and brain gyrification index associated with opioid exposure.Brain communications · 2026Article
- 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
- Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging.Frontiers in medicine · 2025Article
- Characterization of normative fetal rhesus macaque brain development with magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Functional connectivity of the pediatric brain.Neuroradiology · 2024Review
- Characterizing normal perinatal development of the human brain structural connectivity.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
- Fetal gestational age prediction via shape descriptors of cortical development.Frontiers in pediatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Fetal brain development is a complex process involving different stages of growth and organization which are crucial for the development of brain circuits and neural connections. Fetal atlases and labeled datasets are promising tools to investigate prenatal brain development. They support the identification of atypical brain patterns, providing insights into potential early signs of clinical conditions. In a nutshell, prenatal brain imaging and post-processing via modern tools are a cutting-edge field that will significantly contribute to the advancement of our understanding of fetal development. In this work, we first provide terminological clarification for specific terms (i.e., "brain template" and "brain atlas"), highlighting potentially misleading interpretations related to inconsistent use of terms in the literature. We discuss the major structures and neurodevelopmental milestones characterizing fetal brain ontogenesis. Our main contribution is the systematic review of 18 prenatal brain atlases and 3 datasets. We also tangentially focus on clinical, research, and ethical implications of prenatal neuroimaging.
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.