Evidence map›Paper›PMID 29507201›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Dynamic patterns of cortical expansion during folding of the preterm human brain.

Kara E Garcia, Emma C Robinson, Dimitrios Alexopoulos, Donna L Dierker, Matthew F Glasser, Timothy S Coalson, Cynthia M Ortinau, Daniel Rueckert, Larry A Taber, David C Van Essen and 3 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 144 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Brain volumes in fetuses with congenital heart disease and placental vascular abnormalities.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Article
  7. Brain structure and function in Homo naledi.Brain structure & function · 2026
    Review
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18 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 2 countries.

Kara E GarciaDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130; karaellspermann@gmail.com.ORCID 0000-0003-1325-0749
Emma C RobinsonDepartment of Computer Science, Imperial College London, London SW7 2AZ, United Kingdom.
Dimitrios AlexopoulosDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Donna L DierkerMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
Matthew F GlasserDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110.
Timothy S CoalsonDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0002-2105-7896
Cynthia M OrtinauDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110.
Daniel RueckertDepartment of Computer Science, Imperial College London, London SW7 2AZ, United Kingdom.
Larry A TaberDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130.
David C Van EssenDepartment of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110.ORCID 0000-0001-7044-4721
Cynthia E RogersDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110.
Christopher D SmyserDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
Philip V BaylyDepartment of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO 63130.
Washington University in St. Louis · USImperial College London · GBMallinckrodt (United States) · USSt Thomas' Hospital · GB

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI CONSTANTINO, JOHN N. · 2015 to 2019
$7.1M
Washington University Intellectual and Developmental Disabilities Research CenterP30HD062171 · NICHD · WASHINGTON UNIVERSITY · PI NEIL, JEFFREY J. · 2010 to 2014
$4.3M
IN VIVO MEASUREMENT OF BRAIN BIOMECHANICSR01NS055951 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2007 to 2017
$3.9M
Trajectories of Cortico-Cerebellar Connectivity, Social Competence, and Internalizing Symptoms in Adolescents Born Very PretermR37MH113570 · NIMH · WASHINGTON UNIVERSITY · PI CYNTHIA Elise ROGERS, Christopher Daniel Smyser · 2022 to 2026
$3.8M
THE PRETERM BEHAVIORAL PHENOTYPE: TRAJECTORIES OF PSYCHOPATHOLOGY & CHANGES IN CEREBRAL CONNECTIVITYR01MH113570 · NIMH · WASHINGTON UNIVERSITY · PI ROGERS, CYNTHIA ELISE, SMYSER, CHRISTOPHER DANIEL · 2017 to 2021
$3.1M
UNDERSTANDING NEUROBEHAVIORAL DEFICITS IN PRETERM INFANTS THROUGH IMAGINGR01HD057098 · NICHD · WASHINGTON UNIVERSITY · PI INDER, TERRIE E, NEIL, JEFFREY J. · 2008 to 2012
$2.9M
MECHANICS OF EARLY BRAIN AND EYE DEVELOPMENTR01NS070918 · NINDS · WASHINGTON UNIVERSITY · PI TABER, LARRY A · 2010 to 2014
$1.6M
INTERDISCIPLINARY TRAINING IN MECHANOBIOLOGY FROM NM TO CMT32EB018266 · NIBIB · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2014 to 2018
$987k
PREDICTING CHILDHOOD OUTCOMES IN PRETERM INFANTS USING CEREBRAL CONNECTIVITYK02NS089852 · NINDS · WASHINGTON UNIVERSITY · PI SMYSER, CHRISTOPHER DANIEL · 2014 to 2018
$848k
European Research Council 319456NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIBIB NIH HHS T32 EB018266NICHD NIH HHS P30 HD062171NICHD NIH HHS R01 HD057098NICHD NIH HHS U54 HD087011NIMH NIH HHS F30 MH097312NIMH NIH HHS K23 MH105179NIMH NIH HHS R01 MH060974NIMH NIH HHS R01 MH113570NIMH NIH HHS R37 MH113570NINDS NIH HHS K02 NS089852NINDS NIH HHS R01 NS055951NINDS NIH HHS R01 NS070918
6 · The paper itself

Abstract

During the third trimester of human brain development, the cerebral cortex undergoes dramatic surface expansion and folding. Physical models suggest that relatively rapid growth of the cortical gray matter helps drive this folding, and structural data suggest that growth may vary in both space (by region on the cortical surface) and time. In this study, we propose a unique method to estimate local growth from sequential cortical reconstructions. Using anatomically constrained multimodal surface matching (aMSM), we obtain accurate, physically guided point correspondence between younger and older cortical reconstructions of the same individual. From each pair of surfaces, we calculate continuous, smooth maps of cortical expansion with unprecedented precision. By considering 30 preterm infants scanned two to four times during the period of rapid cortical expansion (28-38 wk postmenstrual age), we observe significant regional differences in growth across the cortical surface that are consistent with the emergence of new folds. Furthermore, these growth patterns shift over the course of development, with noninjured subjects following a highly consistent trajectory. This information provides a detailed picture of dynamic changes in cortical growth, connecting what is known about patterns of development at the microscopic (cellular) and macroscopic (folding) scales. Since our method provides specific growth maps for individual brains, we are also able to detect alterations due to injury. This fully automated surface analysis, based on tools freely available to the brain-mapping community, may also serve as a useful approach for future studies of abnormal growth due to genetic disorders, injury, or other environmental variables.

Indexed as

Cerebral CortexFemaleHumansImage Processing, Computer-AssistedInfant, PrematureMagnetic Resonance ImagingMalecortexdevelopmentgrowthregistrationstrain energy

Identifiers

PMID29507201
PMCPMC5866555
OpenAlexW2951794632

What OpenQuestion holds

Textmetadata
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.