Cited by 176Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Functional Connectome of the Fetal Brain

Open access
Turk, Elise, van den Heuvel, Marion I., Benders, Manon J., de Heus, Roel, Franx, Arie, Manning, Janessa H., Hect, Jasmine L., Hernandez-Andrade, Edgar +5 more·2019·The Journal of Neuroscience

Abstract

Large-scale functional connectome formation and reorganization is apparent in the second trimester of pregnancy, making it a crucial and vulnerable time window in connectome development. Here we identified which architectural principles of functional connectome organization are initiated before birth, and contrast those with topological characteristics observed in the mature adult brain. A sample of 105 pregnant women participated in human fetal resting-state fMRI studies (fetal gestational age between 20 and 40 weeks). Connectome analysis was used to analyze weighted network characteristics of fetal macroscale brain wiring. We identified efficient network attributes, common functional modules, and high overlap between the fetal and adult brain network. Our results indicate that key features of the functional connectome are present in the second and third trimesters of pregnancy. Understanding the organizational principles of fetal connectome organization may bring opportunities to develop markers for early detection of alterations of brain function. SIGNIFICANCE STATEMENT The fetal to neonatal period is well known as a critical stage in brain development. Rapid neurodevelopmental processes establish key functional neural circuits of the human brain. Prenatal risk factors may interfere with early trajectories of connectome formation and thereby shape future health outcomes. Recent advances in MRI have made it possible to examine fetal brain functional connectivity. In this study, we evaluate the network topography of normative functional network development during connectome genesis in utero. Understanding the developmental trajectory of brain connectivity provides a basis for understanding how the prenatal period shapes future brain function and disease dysfunction.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1523/jneurosci.2891-18.2019

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Fetal resting-state networks form clusters or modules; this modularity decreases with advancing gestational age.

    “Fetal resting-state networks also tend to form clusters or modules; this tendency, called modularity, decreases with advancing gestational age [69, 70].”

    From Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy (2024) · cites this paper as [70]

    The Modular organization section reports that the fetal connectome has four functional modules, supporting the claim that fetal resting-state networks form clusters. It does not report that modularity decreases with advancing gestational age; the Discussion notes that group-level comparisons averaged across a wide age range. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Fetal networks exhibit efficient small-world organization.

    “Fetal networks, like adults, exhibit efficient small-world organization, suggesting that regions are simultaneously well integrated with topologically distant regions of the brain while forming specialized clusters with their close-by neighbors [69, 70].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Turk, E., van den Heuvel, M. I., Benders, M. J., de Heus, R., Franx, A., Manning, J. H., Hect, J. L., Hernandez-Andrade, E., Hassan, S. S., Romero, R., Kahn, R. S., Thomason, M. E., & van den Heuvel, M. P.
Affiliations
  • Utrecht University (NL)
  • University Medical Center Utrecht (NL)
  • United States Department of Health and Human Services (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • NYU Langone Health (US)
Venue
The Journal of Neuroscience
Published
2019-11-04
Volume
39
Issue
49
Pages
9716-9724
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2985941729
Cited by
176
References
68
Citations by year
2026: 18 · 2025: 31 · 2024: 37 · 2023: 21 · 2022: 30 · 2021: 21 · 2020: 18
FWCI
10.03
Type
journal article
Language
en
Open access
Locations
  • Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion)
  • Research portal (Tilburg University) (publishedVersion)
  • PubMed (publishedVersion)
  • VU Research Portal (publishedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • Pure Amsterdam UMC (submittedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion)
Funders
  • U.S. Department of Health and Human Services (HHSN275201300006C)
  • Australian Government
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (452-16-015)
  • National Institutes of Health (HHSN 275201300006C)
  • National Institute of Mental Health (R01MH110793)
  • National Institute on Drug Abuse (R34DA050287)
  • National Institute of Environmental Health Sciences (P30ES020957, R21ES026022)
  • National Institute of Child Health and Human Development (HHSN275201300006C)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (HHSN275201300006C)
  • NHLBI Division of Intramural Research
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
fetal brain, functional connectome, fetal brain development, resting-state functional connectivity, network topology, network efficiency, functional modules, prenatal risk factors, brain development, second trimester
MeSH terms
Adult, Atlases as Topic, Brain, Female, Fetus, Gestational Age, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Pregnancy, Pregnancy Trimester, Second, Fetal Development, Connectome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review