Evidence map›Paper›PMID 35720673›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

Local Extraction of Extra-Axial CSF from structural MRI.

Tahya Deddah, Martin Styner, Juan Prieto

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. IcoConv : Explainable brain cortical surface analysis for ASD classification.Shape in medical imaging : International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ShapeMI (Workshop) (2023 : Vancouver, B.C.) · 2023
    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

3 authors at 1 institution in 1 country.

Tahya DeddahDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Martin StynerDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Juan PrietoDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
University of North Carolina at Chapel Hill · 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 MRDD Research CenterP30HD003110 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BURCHINAL, MARGARET · 1985 to 2012
$28.7M
MRI-Based Presymptomatic Prediction of ASD, and Early Infant to School-Age Brain-Behavior Trajectories, Mechanisms, and Related OutcomesR01MH118362 · NIMH · WASHINGTON UNIVERSITY · PI John R Pruett · 2019 to 2026
$16.3M
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
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOY, SHERYL S · 2013 to 2019
$8.0M
UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Parsing early emerging heterogeneity related to autism spectrum disorderR01MH115046 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS, JACOB, SUMA · 2019 to 2023
$3.8M
Shape Analysis Toolbox: From medical images to quantitative insights of anatomyR01EB021391 · NIBIB · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2024
$3.5M
Infant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6M
Shape Analysis Toolbox: From medical images to quantitative insights of anatomyR56EB021391 · NIBIB · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2021 to 2021
$436k
NIBIB NIH HHS R01 EB021391NIBIB NIH HHS R56 EB021391NICHD NIH HHS K12 HD001441NICHD NIH HHS P30 HD003110NICHD NIH HHS P50 HD103573NICHD NIH HHS R01 HD055741NICHD NIH HHS U54 HD079124NIMH NIH HHS R01 MH104324NIMH NIH HHS R01 MH115046NIMH NIH HHS R01 MH118362NIMH NIH HHS U01 MH110274
6 · The paper itself

Abstract

The quantification of cerebrospinal fluid (CSF), specifically the extra-axial cerebrospinal fluid (EA-CSF), which is the CSF in the subarachnoid space surrounding the cortical surface of the brain, has recently been shown to play an important role in the neuropathology of autism spectrum disorder (ASD) in infants. While prior work addressed measuring the global volume of EA-CSF, there was no available tool that quantifies the local, anatomical distribution of the EA-CSF. A localized EA-CSF quantification would provide more accurate and interpretable measurements. In our recent work, we proposed such a local EA-CSF extraction by using a pipeline that combines probabilistic brain tissue segmentation, cortical surface reconstruction and streamline-based local EA-CSF quantification. Yet, that system had several shortcomings, in particular a lack of available software tools, as well as a quantification where EA-CSF portions are counted multiple times. The purpose of this article is to present a novel, graphical user interface based, publicly available software tool, called LocalEACSF, which allows the user to easily run an adapted version of this pipeline and provide a set of straightforward quality control visualizations to assess the quality of the EA-CSF quantification. This tool further adds improvements and optimizations to the prior assessment. The LocalEACSF tool allows neuroimaging labs to compute a local extraction of extra-axial CSF in their neuroimaging studies in order to investigate its role in normal and atypical brain development, without the need for extensive technical knowledge.

Indexed as

Cerebrospinal FluidExtra-axial CSFOpen-Source Software

Identifiers

PMID35720673
PMCPMC9205333
OpenAlexW4221036238

What OpenQuestion holds

Textmetadata
LicenceTDM
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.