Evidence map›Paper›PMID 36564934›Full record

ArticleHuman brain mapping2023

Fetal behavior during MRI changes with age and relates to network dynamics.

Lanxin Ji, Amyn Majbri, Cassandra L Hendrix, Moriah E Thomason

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  9. Prenatal Stress and Maternal Role in Neurodevelopment.Annual review of developmental psychology · 2024
    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

4 authors at 1 institution in 1 country.

Lanxin JiDepartment of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York, USA.ORCID 0000-0003-4509-0225
Amyn MajbriDepartment of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York, USA.
Cassandra L HendrixDepartment of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York, USA.
Moriah E ThomasonDepartment of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York, USA.
American Academy of Child and Adolescent Psychiatry · US

Funding

8/24 The Healthy Brain and Child Development National ConsortiumU01DA055338 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Obianuju Berry, Lauren Christine Shuffrey · 2021 to 2026
$9.4M
Examining Prenatal Inflammation and Neurodevelopment in a Longitudinal Fetal-to-Age 9 Imaging Study - Administrative SupplementR01MH122447 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THOMASON, MORIAH E, TRENTACOSTA, CHRISTOPHER J · 2020 to 2025
$3.9M
“Overlapping and Discrete Pathways Through Which Prenatal Isolation and Uncertainty Stress Impact Maternal Mental Health and Child NeurodevelopmentR01MH126468 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BRITO, NATALIE HIROMI, THOMASON, MORIAH E · 2021 to 2024
$3.0M
In Utero Assessment of the Human Neural Connectome and Later Child BehaviorR01MH110793 · NIMH · WAYNE STATE UNIVERSITY · PI THOMASON, MORIAH E · 2016 to 2021
$2.7M
From the womb to the classroom: Linking perinatal micronutrients and toxicants to neural and behavioral development in utero and in childhoodR01ES032294 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARTINEZ, MAURO, THOMASON, MORIAH E · 2020 to 2024
$2.6M
4:4 Investigation of opioid exposure and neurodevelopment (iOPEN)R34DA050287 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BERGINK, VEERLE, THOMASON, MORIAH E · 2019 to 2021
$979k
NIDA NIH HHS R34 DA050287NIDA NIH HHS U01 DA055338NIEHS NIH HHS R01 ES032294NIMH NIH HHS R01 MH110793NIMH NIH HHS R01 MH122447NIMH NIH HHS R01 MH126468
6 · The paper itself

Abstract

Fetal motor behavior is an important clinical indicator of healthy development. However, our understanding of associations between fetal behavior and fetal brain development is limited. To fill this gap, this study introduced an approach to automatically and objectively classify long durations of fetal movement from a continuous four-dimensional functional magnetic resonance imaging (fMRI) data set, and paired behavior features with brain activity indicated by the fMRI time series. Twelve-minute fMRI scans were conducted in 120 normal fetuses. Postnatal motor function was evaluated at 7 and 36 months age. Fetal motor behavior was quantified by calculating the frame-wise displacement (FD) of fetal brains extracted by a deep-learning model along the whole time series. Analyzing only low motion data, we characterized the recurring coactivation patterns (CAPs) of the supplementary motor area (SMA). Results showed reduced motor activity with advancing gestational age (GA), likely due in part to loss of space (r = -.51, p < .001). Evaluation of individual variation in motor movement revealed a negative association between movement and the occurrence of coactivations within the left parietotemporal network, controlling for age and sex (p = .003). Further, we found that the occurrence of coactivations between the SMA to posterior brain regions, including visual cortex, was prospectively associated with postnatal motor function at 7 months (r = .43, p = .03). This is the first study to pair fetal movement and fMRI, highlighting potential for comparisons of fetal behavior and neural network development to enhance our understanding of fetal brain organization.

Indexed as

Magnetic Resonance ImagingMotor CortexBrainBrain MappingFemaleFetusHumansMovementPregnancycoactivation patternsdeep learningfetal fMRIfetal motor behaviormotor cortexmotor developmentnetwork dynamics

Identifiers

PMID36564934
PMCPMC9921243
OpenAlexW4312129130

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.