Evidence map›Paper›PMID 38045398›Full record

ArticleResearch square2023

Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction.

Sohae Chung, Els Fieremans, Dmitry S Novikov, Yvonne W Lui

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Sohae ChungNew York University Grossman School of Medicine.
Els FieremansNew York University Grossman School of Medicine.
Dmitry S NovikovNew York University Grossman School of Medicine.
Yvonne W LuiNew York University Grossman School of Medicine.
New York University · US

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
QUANTITATIVE MRI AND 1H-MRS IN TRAUMATIC BRAIN INJURYR01NS039135 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LUI, YVONNE W · 2000 to 2017
$10.1M
Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
Mild Traumatic Brain Injury Unveiled Using Diffusion MRI as an in vivo MicroscopeR01NS119767 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Sohae Chung, Yvonne W Lui · 2021 to 2026
$3.2M
Unpacking the Importance of the Structural Injuries of MTBIR56NS119767 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CHUNG, SOHAE, LUI, YVONNE W · 2020 to 2020
$593k
NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183NINDS NIH HHS R01 NS039135NINDS NIH HHS R01 NS088040NINDS NIH HHS R01 NS119767NINDS NIH HHS R56 NS119767
6 · The paper itself

Abstract

The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used callosal parcellation methods such as the Hofer/Frahm scheme rely on rigid geometric guidelines to separate the substructures that are limited to consider individual variation. Here we present a novel subject-specific and microstructurally-informed method for callosal parcellation based on axonal water fraction (ƒ) known as a diffusion metric reflective of axon caliber and density. We studied 30 healthy subjects from the Human Connectome Project (HCP) dataset with multi-shell diffusion MRI. The biophysical parameter ƒ was derived from compartment-specific WM modeling. Inflection points were identified where there were concavity changes in ƒ across the CC to delineate callosal subregions. We observed relatively higher ƒ in anterior and posterior areas consisting of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC consisting of a greater number of large diameter fibers. Based on degree of change in ƒ along the callosum, seven callosal subregions can be consistently delineated for each individual. We observe that ƒ can capture differences in underlying tissue microstructures and seven subregions can be identified across CC. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum.

Indexed as

axonal water fractioncorpus callosumdiffusion MRImicrostructureparcellation

Identifiers

PMID38045398
PMCPMC10690318
OpenAlexW4388994281

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.