Evidence map›Paper›PMID 36115591›Full record

ArticleNeuroImage2022

Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference.

Hyuk Jin Yun, Hyun Ju Lee, Joo Young Lee, Tomo Tarui, Caitlin K Rollins, Cynthia M Ortinau, Henry A Feldman, P Ellen Grant, Kiho Im

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Hyuk Jin YunFetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
Hyun Ju LeeDepartment of Pediatrics, Hanyang University College of Medicine, Seoul 04763, Korea (the Republic of).
Joo Young LeeDepartment of Pediatrics, Hanyang University College of Medicine, Seoul 04763, Korea (the Republic of).
Tomo TaruiMother Infant Research Institute, Tufts Medical Center, Boston, MA 02115, United States.
Caitlin K RollinsDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
Cynthia M OrtinauDepartment of Pediatrics, Washington University in St. Louis, St. Louis, MO 63130, United States.
Henry A FeldmanDivision of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States; Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
P Ellen GrantFetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
Kiho ImFetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, United States; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States. Electronic address: Kiho.Im@childrens.harvard.edu.
Harvard University · USHanyang University · KRBoston Children's Hospital · USTufts Medical Center · USWashington University in St. Louis · US

Funding

Genetic Analysis and Manipulation Core (GAEC)P50HD105351 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Hisashi Umemori · 2021 to 2026
$9.4M
Novel MRI Assessment of Placental Structure and Function Throughout PregnancyR01HD100009 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2019 to 2023
$3.6M
Genetic and Hemodynamic Effects on Prenatal Cortical Development in Congenital Heart DiseaseR01NS114087 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI IM, KIHO · 2020 to 2024
$2.8M
Fetal MRI: robust self-driving brain acquisition and body movement quantificationR01EB032708 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2022 to 2025
$2.8M
Measuring cortical plate and subplate thickness in the human fetal brain from magnetic resonance imagesR01EB031170 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI IM, KIHO · 2021 to 2025
$2.5M
Fetal Brain Development in Congenital Heart DiseaseK23NS101120 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI ROLLINS, CAITLIN · 2017 to 2022
$1.1M
Prenatal diagnosis of brain malformations: Improving assessment of prognosisK23HD079605 · NICHD · TUFTS MEDICAL CENTER · PI TARUI, TOMO · 2015 to 2019
$767k
Physiologic and Genetic Contributions of Impaired Fetal Brain Development in Congenital Heart DiseaseK23HL141602 · NHLBI · WASHINGTON UNIVERSITY · PI ORTINAU, CYNTHIA MARIE · 2019 to 2022
$727k
NHLBI NIH HHS K23 HL141602NIBIB NIH HHS R01 EB031170NIBIB NIH HHS R01 EB032708NICHD NIH HHS K23 HD079605NICHD NIH HHS P50 HD105351NICHD NIH HHS R01 HD100009NINDS NIH HHS K23 NS101120NINDS NIH HHS R01 NS114087
6 · The paper itself

Abstract

Human fetal brains show regionally different temporal patterns of sulcal emergence following a regular timeline, which may be associated with spatiotemporal patterns of gene expression among cortical regions. This study aims to quantify the timing of sulcal emergence and its temporal variability across typically developing fetuses by fitting a logistic curve to presence or absence of sulcus. We found that the sulcal emergence started from the central to the temporo-parieto-occipital lobes and frontal lobe, and the temporal variability of emergence in most of the sulci was similar between 1 and 2 weeks. Small variability (< 1 week) was found in the left central and postcentral sulci and larger variability (>2 weeks) was shown in the bilateral occipitotemporal and left superior temporal sulci. The temporal variability showed a positive correlation with the emergence timing that may be associated with differential contributions between genetic and environmental factors. Our statistical analysis revealed that the right superior temporal sulcus emerged earlier than the left. Female fetuses showed a trend of earlier sulcal emergence in the right superior temporal sulcus, lower temporal variability in the right intraparietal sulcus, and higher variability in the right precentral sulcus compared to male fetuses. Our quantitative and statistical approach quantified the temporal patterns of sulcal emergence in detail that can be a reference for assessing the normality of developing fetal gyrification.

Indexed as

Sex CharacteristicsTemporal LobeCerebral CortexFemaleFetusFrontal LobeHumansMagnetic Resonance ImagingMaleParietal LobeCortical foldingCortical sulciFetal brainHemispheric asymmetrySex differenceSulcal emergence

Identifiers

PMID36115591
PMCPMC10011016
OpenAlexW4295807811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.