OSCR

Sex-specific associations of gestational age at birth and birth size with early life within-network brain connectivity: An exploratory study.

Overview

Authors: Diana C. Pacyga1, Jake E. Thistle1, Emily J. Werder2,3, Sofia F. Zhang4, Jessie P. Buckley1, Weiyan Yin3, Zhengwang Wu3, Tengfei Li3, Li Wang3, Gang Li3, Joseph Piven5, John H. Gilmore6, Jed T. Elison7, Weili Lin3, Stephanie M. Engel1, Kyle S. Burger8,9
ORCID iDs: Diana C. Pacyga
  1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  2. Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, United States
  3. Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  4. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  5. Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  6. Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  7. Institute of Child Development, University of Minnesota, Minneapolis, MN, United States
  8. Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  9. Monell Chemical Senses Center, Philadelphia, PA, United States
Journal: Imaging neuroscience (Cambridge, Mass.), volume 4, article IMAG.a.1204
Dates: received 12 March 2025; accepted 12 March 2026; published online 17 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/imag.a.1204 · PMID 42016558 · PMCID PMC13094023 · OpenAlex W7140168544
Open access: diamond, a free copy (OpenAlex)
Status: code on request
Categories: fMRI (modality), human (organism), developmental (subfield)
Methods: Spectral & time-frequency, Statistics, Preprocessing, Connectivity, fMRI & imaging
Keywords: birth size, gestational age at birth, brain network dynamics, rs-fMRI, early life
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 96 references in the paper

Abstract

Gestational age at birth and birth size are major risk factors for early life behavioral/cognitive problems, but their impact on functional brain network dynamics during this period is not understood. Our objective was to conduct an exploratory study to evaluate associations of birth measures with longitudinal early life functional connectivity. The Baby Connectome Project used resting-state functional magnetic resonance imaging to assess connectivity within seven canonical brain networks (Yeo atlas): dorsal attention, salience, limbic, frontoparietal, default mode, visual, and sensorimotor. For 254 children <3 years old (contributing 583 observations), birth weight, birth length, and gestational age at birth were self-reported or abstracted from medical records, and we calculated weight-to-length ratio. Using covariate-adjusted multiple linear mixed models, we evaluated overall and sex-specific associations of birth measures as continuous variables and in tertiles with each network, which were Fisher r-to-z-transformed. Most children (54% female) were born to non-Hispanic White (80%) and college-educated (83%) mothers, were delivered ≥37 weeks gestation (97%), and had birth weights ≥2.5 kg (98%). Only birth size measures were associated with brain network connectivity. Compared with that in tertile 2, frontoparietal network connectivity was higher in birth weight tertile 1 (β: 0.02; 95% CI: 0.00, 0.04) and tertile 3 (β: 0.03; 95% CI: 0.01, 0.05). Also, compared with birth size tertile 2, birth size tertile 3 was associated with higher limbic (birth length β: 0.03; 95% CI: 0.00, 0.07) and default mode (birth length β: 0.02; 95% CI: 0.00, 0.03), but decreased sensorimotor (birth weight β: -0.03; 95% CI: -0.05, 0.00; birth length β: -0.03; 95% CI: -0.05, 0.00) network connectivity. Compared with birth size tertile 2, birth size tertile 1 was associated with lower limbic (birth weight β: -0.04; 95% CI: -0.08, 0.00) and default mode (weight-to-length ratio β: -0.02; 95% CI: -0.04, 0.00). In sex-stratified models, birth size was associated with frontoparietal and default mode networks in both sexes; sensorimotor, limbic, and dorsal attention networks in males; and salience and visual networks in females. Associations followed a U-shaped pattern in females, whereas those in males appeared at only the lowest or highest tertile. In this non-clinical sample, birth size was sex-specifically associated with early life brain network dynamics. This may have implications for later neurodevelopment.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data and Code Availability

All data produced in the present study along with the data analysis code are available upon reasonable request to the authors.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 16 authors, 5 keywords, 4 funders, 95 references.

Cite

This paper

Pacyga, D. C., Thistle, J. E., Werder, E. J., Zhang, S. F., Buckley, J. P., Yin, W., Wu, Z., Li, T., Wang, L., Li, G., Piven, J., Gilmore, J. H., Elison, J. T., Lin, W., Engel, S. M., & Burger, K. S. (2026). Sex-specific associations of gestational age at birth and birth size with early life within-network brain connectivity: An exploratory study. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1204. https://doi.org/10.1162/imag.a.1204

BibTeX

@article{pacyga2026sex,
author = {Pacyga, Diana C. and Thistle, Jake E. and Werder, Emily J. and Zhang, Sofia F. and Buckley, Jessie P. and Yin, Weiyan and Wu, Zhengwang and Li, Tengfei and Wang, Li and Li, Gang and Piven, Joseph and Gilmore, John H. and Elison, Jed T. and Lin, Weili and Engel, Stephanie M. and Burger, Kyle S.},
title = {{Sex-specific associations of gestational age at birth and birth size with early life within-network brain connectivity: An exploratory study}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = apr,
volume = {4},
pages = {IMAG.a.1204},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/imag.a.1204},
url = {https://doi.org/10.1162/imag.a.1204},
pmid = {42016558},
pmcid = {PMC13094023}
}

RIS

TY - JOUR
AU - Pacyga, Diana C.
AU - Thistle, Jake E.
AU - Werder, Emily J.
AU - Zhang, Sofia F.
AU - Buckley, Jessie P.
AU - Yin, Weiyan
AU - Wu, Zhengwang
AU - Li, Tengfei
AU - Wang, Li
AU - Li, Gang
AU - Piven, Joseph
AU - Gilmore, John H.
AU - Elison, Jed T.
AU - Lin, Weili
AU - Engel, Stephanie M.
AU - Burger, Kyle S.
TI - Sex-specific associations of gestational age at birth and birth size with early life within-network brain connectivity: An exploratory study
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/04/17
VL - 4
SP - IMAG.a.1204
SN - 2837-6056
PB - MIT Press
DO - 10.1162/imag.a.1204
UR - https://doi.org/10.1162/imag.a.1204
LA - en
ER -

CSL-JSON

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