Evidence map›Paper›PMID 35359894›Full record

ArticleFrontiers in pediatrics2022

Global Brain Functional Network Connectivity in Infants With Prenatal Opioid Exposure.

Rupa Radhakrishnan, Ramana V Vishnubhotla, Yi Zhao, Jingwen Yan, Bing He, Nicole Steinhardt, David M Haas, Gregory M Sokol, Senthilkumar Sadhasivam

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Disrupted Brain Connectivity in Newborns Following Antenatal Opioid Exposure.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Observational
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  14. Review
  15. Is Eat, Sleep, Console the New Standard of Care?The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2023
    Article
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  17. 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

9 authors at 3 institutions in 1 country.

Rupa RadhakrishnanDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
Ramana V VishnubhotlaDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
Yi ZhaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States.
Jingwen YanDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States.
Bing HeDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States.
Nicole SteinhardtIndiana University School of Medicine, Indianapolis, IN, United States.
David M HaasDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN, United States.
Gregory M SokolDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States.
Senthilkumar SadhasivamDepartment of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, United States.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineUniversity of Pittsburgh Medical Center · US

Funding

Effects of Opioid Use Disorder in Pregnancy on Long-Term Maternal and Child OutcomesR01HD096800 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SADHASIVAM, SENTHILKUMAR · 2018 to 2022
$3.1M
NICHD NIH HHS R01 HD096800
6 · The paper itself

Abstract

Background: Infants with prenatal opioid and substance exposure are at higher risk of poor neurobehavioral outcomes in later childhood. Early brain imaging in infancy has the potential to identify early brain developmental alterations that may help predict behavioral outcomes in these children. In this study, using resting-state functional MRI in early infancy, we aim to identify differences in global brain network connectivity in infants with prenatal opioid and substance exposure compared to healthy control infants. Methods and Materials: In this prospective study, we recruited 23 infants with prenatal opioid exposure and 29 healthy opioid naïve infants. All subjects underwent brain resting-state functional MRI before 3 months postmenstrual age. Covariate Assisted Principal (CAP) regression was performed to identify brain networks within which functional connectivity was associated with opioid exposure after adjusting for sex and gestational age. Associations of these significant networks with maternal comorbidities were also evaluated. Additionally, graph network metrics were assessed in these CAP networks. Results: There were four CAP network components that were significantly different between the opioid exposed and healthy control infants. Two of these four networks were associated with maternal psychological factors. Intra-network graph metrics, namely average flow coefficient, clustering coefficient and transitivity were also significantly different in opioid exposed infants compared to healthy controls. Conclusion: Prenatal opioid exposure is associated with alterations in global brain functional networks compared to non-opioid exposed infants, with intra-network alterations in graph network modeling. These network alterations were also associated with maternal comorbidity, especially mental health. Large-scale longitudinal studies can help in understanding the clinical implications of these early brain functional network alterations in infants with prenatal opioid exposure.

Indexed as

neonatal opioid withdrawal syndromeopioid use disorderprenatal opioid exposureresting state brain networksrs-fMRI

Identifiers

PMID35359894
PMCPMC8964084
OpenAlexW4220879747

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.