Evidence map›Paper›PMID 40800960›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

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

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Cortico-striatal network architecture shapes rhythmic biases in music.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  4. Article
  5. Article
  6. The modular nature of long-association pathways in the human brain.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ting GongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-1378-8509
Chiara MaffeiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Evan DannAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Hong-Hsi LeeAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Hansol LeeAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Jean C AugustinackAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Susie Y HuangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
Suzanne N HaberDepartment of Pharmacology and Physiology, University of Rochester, Rochester, NY, United States.
Anastasia YendikiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI Suzanne N Haber · 2015 to 2026
$28.9M
CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
Continuity of the Limbic Circuit Through the Basal GangliaR01MH045573 · NIMH · UNIVERSITY OF ROCHESTER · PI HABER, SUZANNE N · 1989 to 2024
$10.1M
Connectome 2.0: A BRAIN Technology Integration and Dissemination Resource for Ultra-High Gradient Magnetic Resonance Imaging of Human Brain Circuits Across ScalesU24NS137077 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2024 to 2026
$4.0M
Bridging Diffusion MRI and Chemical Tracing for Validation and Inference of Fiber ArchitecturesR01NS119911 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YENDIKI, ANASTASIA · 2021 to 2024
$2.6M
Multimodal mapping of the neurocircuitry of the human prefrontal cortexR01EB021265 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI YENDIKI, ANASTASIA · 2016 to 2019
$2.0M
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB021265NIBIB NIH HHS U01 EB026996NIMH NIH HHS P50 MH106435NIMH NIH HHS R01 MH045573NINDS NIH HHS R01 NS119911NINDS NIH HHS U24 NS137077
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, has 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 estimated axon diameter index, intra-axonal signal fraction, myelin water fraction (MWF), and aggregate g-ratio and investigated their correlations. 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. Combining these advanced measures to characterize tissue morphology may help differentiate tissue changes during disease processes such as demyelination versus axonal damage. The regional variations and relationships of microstructural measures in control samples as reported in this study may serve as a point of reference for investigating such tissue changes in disease.

Indexed as

axon diameterbrainmicrostructureMRImyelin

Identifiers

PMID40800960
PMCPMC12319738

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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.