Evidence map›Paper›PMID 39671086›Full record

ArticleBrain structure & function2024

Microstructurally informed subject-specific parcellation of the corpus callosum using axonal water fraction.

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

Abstract read
In one paragraph

Article in Brain structure & function, 2024. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sohae ChungCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, United States. sohae.chung@nyulangone.org.
Els FieremansCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, United States.
Dmitry S NovikovCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, United States.
Yvonne W LuiCenter for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, United States.

Funding

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
Random Matrix Theory-Based Noise Removal in MRIR01EB027075 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2019 to 2022
$2.7M
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
NIBIB NIH HHS P41 EB017183NIBIB NIH HHS R01 EB027075NIH HHS R01 NS119767-01A1, R01 NS039135-11, R56 NS119767, 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 Hofer and 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 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 known to consist of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC known to consist of a greater number of large diameter fibers. Based on the degree of change in ƒ along the callosum, seven callosal subregions were consistently delineated for each individual. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum.

Indexed as

AxonsCorpus CallosumWhite MatterAdultConnectomeDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleWaterYoung AdultWaterAxonal water fractionCorpus callosumDiffusion MRIMicrostructureParcellation

Identifiers

PMID39671086
PMCPMC11995408

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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.