Evidence map›Paper›PMID 38339904›Full record

ArticleHuman brain mapping2024

Segmenting hypothalamic subunits in human newborn magnetic resonance imaging data.

Jerod M Rasmussen, Yun Wang, Alice M Graham, Damien A Fair, Jonathan Posner, Thomas G O'Connor, Hyagriv N Simhan, Elizabeth Yen, Neel Madan, Sonja Entringer and 3 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.7field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

13 authors at 7 institutions in 2 countries.

Jerod M RasmussenDevelopment, Health and Disease Research Program, University of California, Irvine, California, USA.ORCID https://orcid.org/0000-0002-9400-7750
Yun WangDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Alice M GrahamDepartment of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon, USA.
Damien A FairMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, Minnesota, USA.
Jonathan PosnerDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Thomas G O'ConnorDepartments of Psychiatry, Psychology, Neuroscience and Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York, USA.
Hyagriv N SimhanDepartment of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Elizabeth YenDepartment of Pediatrics, Tufts Medical Center, Boston, Massachusetts, USA.
Neel MadanDepartment of Radiology, Tufts Medical Center, Boston, Massachusetts, USA.
Sonja EntringerDevelopment, Health and Disease Research Program, University of California, Irvine, California, USA.
Pathik D WadhwaDevelopment, Health and Disease Research Program, University of California, Irvine, California, USA.
Claudia BussDevelopment, Health and Disease Research Program, University of California, Irvine, California, USA.
program collaborators for Environmental influences on Child Health Outcomes
University of California, Irvine · USDuke University · USTufts Medical Center · USOregon Health & Science University · USUniversity of Minnesota · USUniversity of Pittsburgh · USUniversity of Rochester Medical Center · US

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
BREAKING THE CYCLE OF INTERGENERATIONAL DISADVANTAGE: NEURODEVELOPMENT AMONG PUERTO RICAN CHILDREN.UH3OD023328 · OD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2018 to 2022
$18.3M
The Transgenerational Influence of Discrimination on Mental HealthU01DA055363 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Alice M Graham, Elinor L. Sullivan · 2021 to 2026
$8.8M
Pre- and Postnatal Exposure Periods for Child Health: Common Risks and Shared MechanismsUG3OD023349 · OD · UNIVERSITY OF ROCHESTER · PI BARRETT, EMILY S, MILLER, RICHARD KERMIT · 2016 to 2024
$7.0M
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
Effects of prenatal maternal depression and antidepressant exposures on offspring neurodevelopmental trajectories: A birth cohort studyR01MH119510 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI POSNER, JONATHAN E, TAKSER, LARISSA · 2019 to 2023
$3.2M
Maternal adversity, inflammation, and neurodevelopment: How intergenerational processes perpetuate disadvantage in a low-resource settingR01MH121070 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Cristiane S. Duarte, Andrea Parolin Jackowski · 2020 to 2026
$2.8M
Leveraging artificial intelligence to develop novel tools for studying infant brain developmentR00HD103912 · NICHD · EMORY UNIVERSITY · PI YUN WANG · 2024 to 2026
$746k
Fetal Programming of Human Newborn Energy Homeostasis Brain NetworksR00HD100593 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI RASMUSSEN, JEROD MICHAEL · 2023 to 2025
$744k
NICHD NIH HHS K99 HD100593NICHD NIH HHS K99 HD103912NICHD NIH HHS R00 HD100593NICHD NIH HHS R00 HD103912NICHD NIH HHS R01 HD060628NIDA NIH HHS U01 DA055363NIDDK NIH HHS DK118578NIDDK NIH HHS R21 DK118578NIH HHS U24 OD023319NIH HHS U24OD023319NIH HHS U24 OD023382NIH HHS U24OD023382NIH HHS U2C OD023375NIH HHS U2COD023375NIH HHS UG3 OD023349NIH HHS UG3OD023349NIH HHS UH3 OD023328NIH HHS UH3OD023328NIMH NIH HHS MH091351NIMH NIH HHS MH119510NIMH NIH HHS MH121070NIMH NIH HHS R01 MH091351NIMH NIH HHS R01 MH119510NIMH NIH HHS R01 MH121070
6 · The paper itself

Abstract

Preclinical evidence suggests that inter-individual variation in the structure of the hypothalamus at birth is associated with variation in the intrauterine environment, with downstream implications for future disease susceptibility. However, scientific advancement in humans is limited by a lack of validated methods for the automatic segmentation of the newborn hypothalamus. N = 215 healthy full-term infants with paired T1-/T2-weighted MR images across four sites were considered for primary analyses (mean postmenstrual age = 44.3 ± 3.5 weeks, n

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAdultFemaleHumansHypothalamusInfantInfant, NewbornMalegrowthhypothalamusinfantMRInewbornsegmentationsubunit

Identifiers

PMID38339904
PMCPMC10826633
OpenAlexW4391362355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.