Evidence map›Paper›PMID 36576333›Full record

ArticleHuman brain mapping2023

Systematic evaluation of head motion on resting-state functional connectivity MRI in the neonate.

Jung-Hoon Kim, Josepheen De Asis-Cruz, Kushal Kapse, Catherine Limperopoulos

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Disrupted Brain Connectivity in Newborns Following Antenatal Opioid Exposure.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Prospective motion correction forMagnetic resonance in medicine · 2025
    Article
  11. Article
  12. Article
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.

Jung-Hoon KimDeveloping Brain Institute, Children's National, Washington, District of Columbia, USA.ORCID 0000-0003-3032-8827
Josepheen De Asis-CruzDeveloping Brain Institute, Children's National, Washington, District of Columbia, USA.
Kushal KapseDeveloping Brain Institute, Children's National, Washington, District of Columbia, USA.
Catherine LimperopoulosDeveloping Brain Institute, Children's National, Washington, District of Columbia, USA.
Children's National · US

Funding

Neurobehavioral Evaluation CoreP50HD105328 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI WILLIAM Davis GAILLARD · 2021 to 2026
$9.3M
Antecedents of Impaired Brain Development in Fetuses with Heart DiseaseR01HL116585 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI LIMPEROPOULOS, CATHERINE · 2013 to 2017
$3.8M
CIHR MOP-81116NHLBI NIH HHS R01 HL116585NICHD NIH HHS P50 HD105328
6 · The paper itself

Abstract

Reliability and robustness of resting state functional connectivity MRI (rs-fcMRI) relies, in part, on minimizing the influence of head motion on measured brain signals. The confounding effects of head motion on functional connectivity have been extensively studied in adults, but its impact on newborn brain connectivity remains unexplored. Here, using a large newborn data set consisting of 159 rs-fcMRI scans acquired in the Developing Brain Institute at Children's National Hospital and 416 scans from The Developing Human Connectome Project (dHCP), we systematically investigated associations between head motion and rs-fcMRI. Head motion during the scan significantly affected connectivity at sensory-related networks and default mode networks, and at the whole brain scale; the direction of motion effects varied across the whole brain. Comparing high- versus low-head motion groups suggested that head motion can impact connectivity estimates across the whole brain. Censoring of high-motion volumes using frame-wise displacement significantly reduced the confounding effects of head motion on neonatal rs-fcMRI. Lastly, in the dHCP data set, we demonstrated similar persistent associations between head motion and network connectivity despite implementing a standard denoising strategy. Collectively, our results highlight the importance of using rigorous head motion correction in preprocessing neonatal rs-fcMRI to yield reliable estimates of brain activity.

Indexed as

Brain MappingConnectomeAdultArtifactsBrainChildHumansInfant, NewbornMagnetic Resonance ImagingMotionReproducibility of Resultsdata censoringfMRIfunctional connectivityhead motionneonate

Identifiers

PMID36576333
PMCPMC9980896
OpenAlexW4313313184

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.