Evidence map›Paper›PMID 36188457›Full record

ArticleFrontiers in neuroscience2022

Brain structural connectome in neonates with prenatal opioid exposure.

Ramana V Vishnubhotla, Yi Zhao, Qiuting Wen, Jonathan Dietrich, Gregory M Sokol, Senthilkumar Sadhasivam, Rupa Radhakrishnan

Abstract read
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Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

Who cites it

9 citing papers in PubMed.

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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

7 authors.

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.
Qiuting WenDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
Jonathan DietrichIndiana 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 Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Rupa RadhakrishnanDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Infants with prenatal opioid exposure (POE) are shown to be at risk for poor long-term neurobehavioral and cognitive outcomes. Early detection of brain developmental alterations on neuroimaging could help in understanding the effect of opioids on the developing brain. Recent studies have shown altered brain functional network connectivity through the application of graph theoretical modeling, in infants with POE. In this study, we assess global brain structural connectivity through diffusion tensor imaging (DTI) metrics and apply graph theoretical modeling to brain structural connectivity in infants with POE. Methods: In this prospective observational study in infants with POE and control infants, brain MRI including DTI was performed before completion of 3 months corrected postmenstrual age. Tractography was performed on the whole brain using a deterministic fiber tracking algorithm. Pairwise connectivity and network measure were calculated based on fiber count and fractional anisotropy (FA) values. Graph theoretical metrics were also derived. Results: There were 11 POE and 18 unexposed infants included in the analysis. Pairwise connectivity based on fiber count showed alterations in 32 connections. Pairwise connectivity based on FA values showed alterations in 24 connections. Connections between the right superior frontal gyrus and right paracentral lobule and between the right superior occipital gyrus and right fusiform gyrus were significantly different after adjusting for multiple comparisons between POE infants and unexposed controls. Additionally, alterations in graph theoretical network metrics were identified with fiber count and FA value derived tracts. Conclusion: Comparisons show significant differences in fiber count in two structural connections. The long-term clinical outcomes related to these findings may be assessed in longitudinal follow-up studies.

Indexed as

brain developmentbrain networksdiffusion tensor imagingDTINOWSopioid use disorderprenatal opioid exposurestructural connectivity

Identifiers

PMID36188457
PMCPMC9523134

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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.