ArticleAJNR. American journal of neuroradiology2017
Quantitative Folding Pattern Analysis of Early Primary Sulci in Human Fetuses with Brain Abnormalities.
Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 42 citations in OpenAlex.
- Linking maternal blood pressure with fetal cerebral haemodynamics and cortical growth in congenital heart disease.EBioMedicine · 2026Article
- MRI-based spectral analysis of fetal brain gyrification in typical development and in lissencephaly and polymicrogyria.Scientific reports · 2026Article
- Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI.Frontiers in neuroscience · 2026Article
- Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.Human brain mapping · 2025Article
- Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.Medical image analysis · 2025Article
- Foetal cortical expansion is associated with neurodevelopmental outcome at 2-years in congenital heart disease: a longitudinal follow-up study.EBioMedicine · 2025Article
- Impact of high maternal body mass index on fetal cerebral cortical and cerebellar volumes.Journal of perinatal medicine · 2025Article
- A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques.AJNR. American journal of neuroradiology · 2024Article
- Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The role of cortical structural variance in deep learning-based prediction of fetal brain age.Frontiers in neuroscience · 2024Article
- Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net.Frontiers in neuroscience · 2024Article
- Automatic Quantification of Normal Brain Gyrification Patterns and Changes in Fetuses with Polymicrogyria and Lissencephaly Based on MRI.AJNR. American journal of neuroradiology · 2023Article
- Mechanical hierarchy in the formation and modulation of cortical folding patterns.Scientific reports · 2023Article
- Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates.Developmental cognitive neuroscience · 2023Review
- Gyral peaks and patterns in human brains.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Article
- Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference.NeuroImage · 2022Article
- Gyral peaks: Novel gyral landmarks in developing macaque brains.Human brain mapping · 2022Article
- A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.IEEE transactions on medical imaging · 2021Article
- Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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 5 institutions in 4 countries.
Funding
Abstract
background and purposeAberrant gyral folding is a key feature in the diagnosis of many cerebral malformations. However, in fetal life, it is particularly challenging to confidently diagnose aberrant folding because of the rapid spatiotemporal changes of gyral development. Currently, there is no resource to measure how an individual fetal brain compares with normal spatiotemporal variations. In this study, we assessed the potential for automatic analysis of early sulcal patterns to detect individual fetal brains with cerebral abnormalities. MATERIALS AND
methodsTriplane MR images were aligned to create a motion-corrected volume for each individual fetal brain, and cortical plate surfaces were extracted. Sulcal basins were automatically identified on the cortical plate surface and compared with a combined set generated from 9 normal fetal brain templates. Sulcal pattern similarities to the templates were quantified by using multivariate geometric features and intersulcal relationships for 14 normal fetal brains and 5 fetal brains that were proved to be abnormal on postnatal MR imaging. Results were compared with the gyrification index.
resultsSignificantly reduced sulcal pattern similarities to normal templates were found in all abnormal individual fetuses compared with normal fetuses (mean similarity [normal, abnormal], left: 0.818, 0.752;
conclusionsAutomated analysis of interrelated patterning of early primary sulci could outperform the traditional gyrification index and has the potential to quantitatively detect individual fetuses with emerging abnormal sulcal patterns.
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.