Evidence map›Paper›PMID 33132824›Full record

ArticleFrontiers in neuroscience2020

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, Guido Gerig, Stephen M Pizer, Robert T Schultz and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Local Extraction of Extra-Axial CSF from structural MRI.Proceedings of SPIE--the International Society for Optical Engineering
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Mahmoud MostaphaDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, United States.
Sun Hyung KimDepartment of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Alan C EvansMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Stephen R DagerDepartment of Radiology, University of Washington, Seattle, WA, United States.
Annette M EstesDepartment of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States.
Robert C McKinstryMallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.
Kelly N BotteronMallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States.
Guido GerigDepartment of Computer Science and Engineering, New York University, New York, NY, United States.
Stephen M PizerDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, United States.
Robert T SchultzDepartment of Pediatrics, Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States.
Heather C HazlettDepartment of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Joseph PivenDepartment of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Jessica B GiraultDepartment of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Mark D ShenDepartment of Psychiatry, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, United States.
Martin A StynerDepartment of Computer Science, University of North Carolina, Chapel Hill, NC, United States.
University of North Carolina at Chapel Hill · USUniversity of Washington · USMallinckrodt (United States) · USMontreal Neurological Institute and Hospital · CANew York University · USPhiladelphia University · USWashington University in St. Louis · US

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JEFFREY D MILBRANDT · 2020 to 2026
$15.5M
Mechanisms of Brain Dysmorphology in MN1 C-Terminal Truncation Syndrome, a Novel Intellectual Developmental Disability Disorder P50HD103524 · NICHD · UNIVERSITY OF WASHINGTON · PI DANIEL DOHERTY · 2020 to 2026
$9.9M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark D Shen · 2020 to 2026
$9.7M
UNC BIRCWH CAREER DEVELOPMENT PROGRAMK12HD001441 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOGGESS, KIM A · 2000 to 2019
$9.3M
Postdoctoral Research in Neurodevelopmental DisordersT32HD040127 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENJAMIN D PHILPOT, Mark D Shen · 2001 to 2026
$8.5M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOY, SHERYL S · 2013 to 2019
$8.0M
The Intellectual and Developmental Disabilities Research Center at CHOP/PennU54HD086984 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI PUTT, MARY E. · 2016 to 2020
$6.3M
Shape Analysis Toolbox: From medical images to quantitative insights of anatomyR01EB021391 · NIBIB · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2024
$3.5M
Genetic Liability for Autism and Infant Brain and Behavioral DevelopmentK01MH122779 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GIRAULT, JESSICA BULLINS · 2020 to 2024
$919k
Emotion-Modulated Psychophysiology of Autism Spectrum DisordersR21MH085254 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENNING, STEPHEN D, DICHTER, GABRIEL S · 2009 to 2010
$416k
NIBIB NIH HHS R01 EB021391NICHD NIH HHS K12 HD001441NICHD NIH HHS P50 HD103524NICHD NIH HHS P50 HD103525NICHD NIH HHS P50 HD103573NICHD NIH HHS R01 HD055741NICHD NIH HHS T32 HD040127NICHD NIH HHS U54 HD079124NICHD NIH HHS U54 HD086984NIEHS NIH HHS P30 ES010126NIMH NIH HHS K01 MH122779NIMH NIH HHS R21 MH085254
6 · The paper itself

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.

Indexed as

autismbrain developmentEA-CSFextra-axial cerebrospinal fluidLaplacian PDEneurodevelopmental disordersstructural MRIsurface analysis

Identifiers

PMID33132824
PMCPMC7561674
OpenAlexW3091089282

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.