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Association between altered white matter networks and post operative ventricle volume in shunt-treated pediatric hydrocephalus.
Ragguett, Renee-Marie; Eagleson, Roy; de Ribaupierre, Sandrine.
Afiliación
  • Ragguett RM; School of Biomedical Engineering, Western University, London, Ontario, Canada.
  • Eagleson R; School of Biomedical Engineering, Western University, London, Ontario, Canada; Department of Electrical and Computer Engineering, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada.
  • de Ribaupierre S; School of Biomedical Engineering, Western University, London, Ontario, Canada; Western Institute for Neuroscience, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Schulich School of Medicine, Western University, London, Ontario, Canada. Electronic address: sderibau@uwo.ca.
Brain Res Bull ; 206: 110847, 2024 Jan.
Article en En | MEDLINE | ID: mdl-38103800
ABSTRACT

OBJECTIVE:

The objective of this study was to use probabilistic tractography in combination with white matter microstructure metrics to characterize differences in white matter networks between shunt-treated pediatric hydrocephalus patients relative to healthy controls. We were also able to explore the relationship between these white matter networks and postoperative ventricle volume.

METHODS:

Network-based statistics was used in combination with whole-brain probabilistic tractography to determine dysregulated white matter networks in a sample of patients with pediatric hydrocephalus (n = 8), relative to controls (n = 36). Metrics such as streamline count (SC), as well as the mean of the fractional anisotropy along a tract, axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) were assessed. In networks that were found to be significantly different for patients with hydrocephalus, tracts were evaluated to assess their relationship with postoperative lateral ventricle volume.

RESULTS:

Patients with pediatric hydrocephalus had various networks that were either upregulated or downregulated relative to controls across all white matter measures. Predominately, network dysregulation occurred in tracts involving structures located outside of the frontal lobe. Furthermore tracts with values suggesting decreased white matter integrity were not only found between subcortical structures, but also cortical structures. While there were various tracts with white matter metrics that were initially predicted by lateral ventricle volume, only two tracts remained significant following multiple comparisons.

CONCLUSIONS:

This cross-sectional study in pediatric patients with hydrocephalus and healthy controls demonstrated using whole-brain probabilistic tractography that there are various networks with dysregulated white matter integrity in hydrocephalus patients relative to controls. These dysregulated networks have tracts connecting structures throughout the brain, and the regions were predominately located centrally and posteriorly. Postoperative ventricle volume did not predict the white matter integrity of many tracts. Future studies with larger sample sizes are needed to further understand these results.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Sustancia Blanca / Hidrocefalia Idioma: En Revista: Brain Res Bull Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Sustancia Blanca / Hidrocefalia Idioma: En Revista: Brain Res Bull Año: 2024 Tipo del documento: Article