Title | A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Mostapha, M, Kim, SHyung, 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 |
Journal | Front Neurosci |
Volume | 14 |
Pagination | 561556 |
Date Published | 2020 |
ISSN | 1662-4548 |
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. |
DOI | 10.3389/fnins.2020.561556 |
Alternate Journal | Front Neurosci |
PubMed ID | 33132824 |
PubMed Central ID | PMC7561674 |
Grant List | R01 EB021391 / EB / NIBIB NIH HHS / United States U54 HD079124 / HD / NICHD NIH HHS / United States T32 HD040127 / HD / NICHD NIH HHS / United States U54 HD086984 / HD / NICHD NIH HHS / United States K12 HD001441 / HD / NICHD NIH HHS / United States R01 HD055741 / HD / NICHD NIH HHS / United States |