Evidence map›Paper›PMID 40240427›Full record

ArticleScientific reports2025

Evaluating the effects of volume censoring on fetal functional connectivity.

Jung-Hoon Kim, Josepheen De Asis-Cruz, Kevin M Cook, Catherine Limperopoulos

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Jung-Hoon KimDeveloping Brain Institute, Children's National, 111 Michigan Ave N.W., Washington D.C., 20010, USA.
Josepheen De Asis-CruzDeveloping Brain Institute, Children's National, 111 Michigan Ave N.W., Washington D.C., 20010, USA.
Kevin M CookDeveloping Brain Institute, Children's National, 111 Michigan Ave N.W., Washington D.C., 20010, USA.
Catherine LimperopoulosDeveloping Brain Institute, Children's National, 111 Michigan Ave N.W., Washington D.C., 20010, USA. climpero@childrensnational.org.

Funding

Antecedents of Impaired Brain Development in Fetuses with Heart DiseaseR01HL116585 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI LIMPEROPOULOS, CATHERINE · 2013 to 2017
$3.8M
Diversity Supplement: Clinical Pediatric Research Training for the Fetal-Neonatal BrainT32HD098066 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI DU PLESSIS, ADRE JACQUES, LIMPEROPOULOS, CATHERINE · 2020 to 2024
$1.7M
Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en santé du Canada) MOP-81116NHLBI NIH HHS R01 HL116585NICHD NIH HHS T32 HD098066U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) 5T32HD098066-03U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) T32 5T32HD098066-03U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01 HL116585-01
6 · The paper itself

Abstract

Advances in neuroimaging have enabled non-invasive investigation of fetal brain development in vivo. Resting-state functional magnetic resonance imaging (rs-fMRI) has provided critical insights into emerging brain networks in fetuses. However, acquiring high-quality fetal rs-fMRI remains challenging due to the unpredictable and unconstrained motion of the fetal head. Nuisance regression, where the brain signal is regressed onto translational and rotational head motion parameters, has been widely and effectively used in adults to reduce the influence of motion. However, subsequent studies have revealed that associations between head motion and large-scale brain functional connectivity (FC) persisted even after regression. In ex utero groups (e.g., newborns, toddlers, and adults), censoring high-motion volumes has shown effectiveness in mitigating such lingering impacts of head motion. While censoring high motion volumes has been utilized in fetal rs-fMRI, a systematic assessment of the effectiveness of regression and censoring high motion volumes in fetuses has not been done. Establishing the effectiveness of censoring in fetal rs-fMRI is critical to avoid possible bias in findings resulting from head motion. To address this knowledge gap, we investigated the associations between head motion and fetal rs-fMRI at different analysis scales: blood oxygenation level dependent (BOLD) time series and whole-brain FC. We used a dataset of 120 fetal scans collected from 104 healthy fetuses. We found that nuisance regression reduced the association between head motion, defined by frame-by-frame displacement (FD) of head position, and BOLD time series data in all regions of interest (ROI) encompassing the whole brain. Nuisance regression, however, was not effective in reducing the impact of head motion on FC. Fetuses' FC profiles significantly predicted average FD (r = 0.09 ± 0.08; p < 10

Indexed as

BrainFetusMagnetic Resonance ImagingAdultBrain MappingFemaleHead MovementsHumansMalePregnancyAge predictionFetusHead motionMotion censoringrs-fMRISex prediction

Identifiers

PMID40240427
PMCPMC12003846

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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.