Evidence map›Paper›PMID 40083644›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Towards personalized precision functional mapping in infancy.

Lucille A Moore, Robert J M Hermosillo, Eric Feczko, Julia Moser, Sanju Koirala, Madeleine C Allen, Claudia Buss, Greg Conan, Anthony C Juliano, Mollie Marr and 11 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. 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
–field-weighted citation impact
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.

  1. Article
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  7. Considerations for conducting developmental neuroimaging research on mental health topics.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  8. Review
  9. Precision functional imaging in infants using multi-echo fMRI at 7T.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Anchoring Functional Connectivity to Individual Sulcal Morphology Yields Insights in a Pediatric Study of Reasoning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  13. Article
  14. Article
  15. Article
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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

21 authors.

Lucille A MooreMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Robert J M HermosilloMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Eric FeczkoMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Julia MoserMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Sanju KoiralaMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Madeleine C AllenDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.
Claudia BussInstitute of Medical Psychology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Greg ConanMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Anthony C JulianoDepartment of Psychiatry, University of Vermont, Burlington, VT, United States.
Mollie MarrDepartment of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, United States.
Oscar Miranda-DominguezMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Michael MooneyDepartment of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, United States.
Michael MyersDepartment of Psychiatry, Washington University, St. Louis, MO, United States.
Jerod RasmussenDepartment of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States.
Cynthia E RogersDepartment of Psychiatry, Washington University, St. Louis, MO, United States.
Christopher D SmyserDepartments of Neurology, Radiology, and Pediatrics, Washington University School of Medicine, St. Louis, MO, United States.
Kathy SniderDepartment of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, United States.
Chad SylvesterDepartment of Psychiatry, Washington University, St. Louis, MO, United States.
Elina ThomasDepartment of Neuroscience, Earlham College, Richmond, IN, United States.
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.
Alice M GrahamDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, United States.

Funding

Early Life Adversity, Biological Embedding, and Risk for Developmental Precursors of Mental DisordersR01MH113883 · NIMH · WASHINGTON UNIVERSITY · PI JOAN L. LUBY, Christopher Daniel Smyser · 2018 to 2026
$20.6M
WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JEFFREY D MILBRANDT · 2020 to 2026
$15.5M
EXITO: Enhancing Cross-disciplinary Infrastructure and Training at OregonTL4GM118965 · NIGMS · PORTLAND STATE UNIVERSITY · PI KELLER, THOMAS E · 2015 to 2022
$10.1M
CAM Research Training in Neuroscience &StressT32AT002688 · NCCIH · OREGON HEALTH & SCIENCE UNIVERSITY · PI OKEN, BARRY S, SOUMYANATH, AMALA · 2005 to 2025
$7.2M
EMA Assessment of Biobehavioral Processes in Human PregnancyR01HD060628 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WADHWA, PATHIK D · 2010 to 2014
$3.4M
FETAL PROGRAMMING OF THE NEWBORN AND INFANT HUMAN BRAINR01MH091351 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BUSS, CLAUDIA, WADHWA, PATHIK D · 2011 to 2015
$3.3M
Training in Complex Systems and Data Science Approaches Applied to the Neurobiology of Drug UseT32DA043593 · NIDA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI DODDS, PETER S., GARAVAN, HUGH P. · 2018 to 2022
$1.2M
LINKS BETWEEN MATERNAL PSYCHOLOGICAL STRESS AND INFLAMMATION DURING PREGNANCY AND POTENTIAL FOR PREVENTIVE INTERVENTION: Supplement to R00MH111805R00MH111805 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAHAM, ALICE M · 2018 to 2020
$934k
Fetal Programming of Human Newborn Energy Homeostasis Brain Networks And Infant AdiposityK99HD100593 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI RASMUSSEN, JEROD MICHAEL · 2019 to 2021
$272k
Maternal psychological stress during pregnancy as a key mechanism for the intergenerational transmission of childhood traumatic stressF30MH118762 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI MARR, MOLLIE CHRISTINE · 2018 to 2022
$246k
A Multidimensional Approach to Understanding Prenatal Health and Psychosocial Factors in Relation to the Maternal Inflammatory Milieu and Offspring NeurodevelopmentF31HD109017 · NICHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ALLEN, MADELEINE · 2023 to 2024
$76k
NCCIH NIH HHS T32 AT002688NICHD NIH HHS F31 HD109017NICHD NIH HHS K99 HD100593NICHD NIH HHS P50 HD103525NICHD NIH HHS R01 HD060628NIDA NIH HHS T32 DA043593NIGMS NIH HHS TL4 GM118965NIMH NIH HHS F30 MH118762NIMH NIH HHS R00 MH111805NIMH NIH HHS R01 MH091351NIMH NIH HHS R01 MH113883
6 · The paper itself

Abstract

The precise network topology of functional brain systems is highly specific to individuals and undergoes dramatic changes during critical periods of development. Large amounts of high-quality resting state data are required to investigate these individual differences, but are difficult to obtain in early infancy. Using the template matching method, we generated a set of infant network templates to use as priors for individualized functional resting-state network mapping in two independent neonatal datasets with extended acquisition of resting-state functional MRI (fMRI) data. We show that template matching detects all major adult resting-state networks in individual infants and that the topology of these resting-state network maps is individual-specific. Interestingly, there was no plateau in within-subject network map similarity with up to 25 minutes of resting-state data, suggesting that the amount and/or quality of infant data required to achieve stable or high-precision network maps is higher than adults. These findings are a critical step towards personalized precision functional brain mapping in infants, which opens new avenues for clinical applicability of resting-state fMRI and potential for robust prediction of how early functional connectivity patterns relate to subsequent behavioral phenotypes and health outcomes.

Indexed as

brain developmentinfantsprecision network mappingresting-state fMRIresting-state functional brain networkstemplate matching

Identifiers

PMID40083644
PMCPMC11899874

What OpenQuestion holds

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LicenceCC BY
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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.