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Mostapha M, Kim SH, Evans AC, et al. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Front Neurosci. 2020;14:561556doi: 10.3389/fnins.2020.561556.
Mostapha, M., Kim, S. H., Evans, A. C., Dager, S. R., Estes, A. M., McKinstry, R. C., Botteron, K. N., Gerig, G., Pizer, S. M., Schultz, R. T., Hazlett, H. C., Piven, J., Girault, J. B., Shen, M. D., & Styner, M. A. (2020). A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Frontiers in neuroscience, 14561556. https://doi.org/10.3389/fnins.2020.561556
Mostapha, Mahmoud, et al. "A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain." Frontiers in neuroscience vol. 14 (2020): 561556. doi: https://doi.org/10.3389/fnins.2020.561556
Mostapha M, Kim SH, Evans AC, Dager SR, Estes AM, McKinstry RC, Botteron KN, Gerig G, Pizer SM, Schultz RT, Hazlett HC, Piven J, Girault JB, Shen MD, Styner MA. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Front Neurosci. 2020 Oct 02;14:561556. doi: 10.3389/fnins.2020.561556. eCollection 2020. PMID: 33132824; PMCID: PMC7561674.
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Front Neurosci. 2020 Oct 02;14:561556. doi: 10.3389/fnins.2020.561556. eCollection 2020.

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

Frontiers in neuroscience

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

Affiliations

  1. Department of Computer Science, University of North Carolina, Chapel Hill, NC, United States.
  2. Department of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
  3. Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
  4. Department of Radiology, University of Washington, Seattle, WA, United States.
  5. Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States.
  6. Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.
  7. Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States.
  8. Department of Computer Science and Engineering, New York University, New York, NY, United States.
  9. Department of Pediatrics, Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States.
  10. Carolina Institute for Developmental Disabilities, UNC School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
  11. UNC Neuroscience Center, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.

PMID: 33132824 PMCID: PMC7561674 DOI: 10.3389/fnins.2020.561556

Abstract

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.

Copyright © 2020 Mostapha, Kim, Evans, Dager, Estes, McKinstry, Botteron, Gerig, Pizer, Schultz, Hazlett, Piven, Girault, Shen and Styner.

Keywords: EA-CSF; Laplacian PDE; autism; brain development; extra-axial cerebrospinal fluid; neurodevelopmental disorders; structural MRI; surface analysis

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