Evidence map›Paper›PMID 39010869›Full record

ArticleArXiv2025

Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain.

Ting Gong, Chiara Maffei, Evan Dann, Hong-Hsi Lee, Hansol Lee, Jean C Augustinack, Susie Y Huang, Suzanne N Haber, Anastasia Yendiki

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In one paragraph

Article in ArXiv, 2025. 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

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ting Gong
Chiara Maffei
Evan Dann
Hong-Hsi Lee
Hansol Lee
Jean C Augustinack
Susie Y Huang
Suzanne N Haber
Anastasia Yendiki

Funding

Building a pathology-validated neuroimaging tool for Alzheimer's DiseaseR01AG057672 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2018 to 2022
$2.4M
Identifying microscopic vasculature within entorhinal cortex in healthy aging and its proximity to pathology profiles in Alzheimer's diseaseRF1AG082223 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2023 to 2023
$2.1M
Establishing cellular-validated standards for parcellating hippocampal subfields in aging and Alzheimer's diseaseRF1AG072056 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2021 to 2021
$1.7M
Establishing cellular-validated standards for parcellating hippocampal subfields in aging and Alzheimer's diseaseR01AG072056 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI AUGUSTINACK, JEAN · 2024 to 2025
$1.1M
NIA NIH HHS R01 AG057672NIA NIH HHS R01 AG072056NIA NIH HHS RF1 AG072056NIA NIH HHS RF1 AG082223
6 · The paper itself

Abstract

Axon diameter and myelin thickness affect the conduction velocity of action potentials in the nervous system. Imaging them non-invasively with MRI-based methods is thus valuable for studying brain microstructure and function. Electron microscopy studies suggest that axon diameter and myelin thickness are closely related to each other. However, the relationship between MRI-based estimates of these microstructural measures, known to be relative indices, have not been investigated across the brain mainly due to methodological limitations. In recent years, studies using ultra-high gradient strength diffusion MRI (dMRI) have demonstrated improved estimation of axon diameter index across white-matter (WM) tracts in the human brain, making such investigations feasible. In this study, we aim to investigate relationships between tissue microstructure properties across white-matter tracts, as estimated with MRI-based methods. We collected dMRI with ultra-high gradient strength and multi-echo spin-echo MRI on ex vivo macaque and human brain samples on a preclinical scanner. From these data, we found that the correlations between axon diameter index and other microstructural imaging parameters were weak but consistent across WM tracts in samples estimated with sufficient signal to noise ratio. In well-myelinated regions, tissue voxels with larger axon diameter indices were associated with lower packing density, lower MWF and a tendency of higher g-ratio. We also found that intra-axonal signal fractions and MWF were not consistently correlated when assessed in different samples. Overall, the findings suggest that MRI-based axon geometry and myelination measures can provide complementary information about fiber morphology, and the relationships between these measures agree with prior electron microscopy studies in smaller field of views.

Identifiers

PMID39010869
PMCPMC11247909

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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.