Your browser doesn't support javascript.
loading
Brain structural connectome in neonates with prenatal opioid exposure.
Vishnubhotla, Ramana V; Zhao, Yi; Wen, Qiuting; Dietrich, Jonathan; Sokol, Gregory M; Sadhasivam, Senthilkumar; Radhakrishnan, Rupa.
Afiliación
  • Vishnubhotla RV; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Zhao Y; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Wen Q; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Dietrich J; Indiana University School of Medicine, Indianapolis, IN, United States.
  • Sokol GM; Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Sadhasivam S; Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
  • Radhakrishnan R; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
Front Neurosci ; 16: 952322, 2022.
Article en En | MEDLINE | ID: mdl-36188457
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...