Frontiers in Neuroscience (Oct 2020)

A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain

  • Mahmoud Mostapha,
  • Sun Hyung Kim,
  • Alan C. Evans,
  • Stephen R. Dager,
  • Annette M. Estes,
  • Robert C. McKinstry,
  • Kelly N. Botteron,
  • Kelly N. Botteron,
  • Guido Gerig,
  • Stephen M. Pizer,
  • Robert T. Schultz,
  • Heather C. Hazlett,
  • Heather C. Hazlett,
  • Joseph Piven,
  • Joseph Piven,
  • Jessica B. Girault,
  • Jessica B. Girault,
  • Mark D. Shen,
  • Mark D. Shen,
  • Mark D. Shen,
  • Martin A. Styner,
  • Martin A. Styner

DOI
https://doi.org/10.3389/fnins.2020.561556
Journal volume & issue
Vol. 14

Abstract

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Cerebrospinal fluid (CSF) plays an essential role in early postnatal brain development. Extra-axial CSF (EA-CSF) volume, which is characterized by CSF in the subarachnoid space surrounding the brain, is a promising marker in the early detection of young children at risk for neurodevelopmental disorders. Previous studies have focused on global EA-CSF volume across the entire dorsal extent of the brain, and not regionally-specific EA-CSF measurements, because no tools were previously available for extracting local EA-CSF measures suitable for localized cortical surface analysis. In this paper, we propose a novel framework for the localized, cortical surface-based analysis of EA-CSF. The proposed processing framework combines probabilistic brain tissue segmentation, cortical surface reconstruction, and streamline-based local EA-CSF quantification. The quantitative analysis of local EA-CSF was applied to a dataset of typically developing infants with longitudinal MRI scans from 6 to 24 months of age. There was a high degree of consistency in the spatial patterns of local EA-CSF across age using the proposed methods. Statistical analysis of local EA-CSF revealed several novel findings: several regions of the cerebral cortex showed reductions in EA-CSF from 6 to 24 months of age, and specific regions showed higher local EA-CSF in males compared to females. These age-, sex-, and anatomically-specific patterns of local EA-CSF would not have been observed if only a global EA-CSF measure were utilized. The proposed methods are integrated into a freely available, open-source, cross-platform, user-friendly software tool, allowing neuroimaging labs to quantify local extra-axial CSF in their neuroimaging studies to investigate its role in typical and atypical brain development.

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