Evidence map›Paper›PMID 40034098›Full record

ArticleMagnetic resonance in medicine2025

Diffusion tensor subspace imaging of double diffusion-encoded MRI delineates small fibers and gray-matter microstructure not visible with single encoding techniques.

Elizabeth B Hutchinson, Jean-Philippe Galons, Courtney J Comrie, Thomas G Beach, Geidy E Serrano, Mark W Bondi, Seraphina K Solders, Vitaly L Galinsky, Lawrence R Frank

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Elizabeth B HutchinsonDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.ORCID 0000-0002-3374-5469
Jean-Philippe GalonsDepartment of Medical Imaging, University of Arizona, Tucson, Arizona, USA.
Courtney J ComrieDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Thomas G BeachBanner Sun Health Research Institute, Sun City, Arizona, USA.
Geidy E SerranoBanner Sun Health Research Institute, Sun City, Arizona, USA.
Mark W BondiDepartment of Psychiatry, School of Medicine, University of California San Diego, California, USA.
Seraphina K SoldersCenter for Scientific Computation in Imaging, University of California at San Diego, La Jolla, California, USA.
Vitaly L GalinskyCenter for Scientific Computation in Imaging, University of California at San Diego, La Jolla, California, USA.
Lawrence R FrankCenter for Scientific Computation in Imaging, University of California at San Diego, La Jolla, California, USA.

Funding

UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Mark W Bondi · 2019 to 2026
$34.9M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
Joint Estimate Diffusion Imaging (JEDI) for improved Tissue Characterization and Neural Connectivity in Aging and Alzheimer's DiseaseR01AG079280 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Mark W Bondi, LAWRENCE R FRANK · 2023 to 2026
$6.0M
Bruker Biospec 7T Small Animal MRI UpgradeS10OD025016 · OD · UNIVERSITY OF ARIZONA · PI TROUARD, THEODORE P · 2018 to 2018
$600k
Microstructural MRI Microscopy of Post-mortem Specimens to Identify and Improve Markers of Alzheimer's Disease PathologyR03AG071903 · NIA · UNIVERSITY OF ARIZONA · PI HUTCHINSON, ELIZABETH B · 2021 to 2021
$162k
Arizona Biomedical Research Commission 0011Arizona Biomedical Research Commission 05-901Arizona Biomedical Research Commission 1001Arizona Biomedical Research Commission 4001Arizona Department of Health Services 211002National Institute on Aging (NIA)/National Institutes of Health (NIH) R01AG079280National Institute on Aging (NIA)/National Institutes of Health (NIH) R03AG071903NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG079280NIA NIH HHS R03 AG071903NIH HHS S10 OD025016NINDS NIH HHS U24 NS072026The Michael J. Fox Foundation for Parkinson's Researchthe NIA P30AG072980the NIA P30 AG19610
6 · The paper itself

Abstract

purposeDouble diffusion encoding (DDE) acquisition strategies promise specificity for small-dimensional structures inaccessible to single diffusion encoding (SDE). For DDE-weighted MRI scans to become relevant for whole brain imaging, signal reconstruction frameworks must accurately report microstructural features of interest-especially microscale anisotropy in complex tissue environments. This study examined the recently developed diffusion tensor subspace imaging (DiTSI) framework and its radial and spherical anisotropy metrics (RA and SA, respectively) in postmortem human brain tissue specimens.

methodsMRI microscopy including multishell SDE-weighted and DDE-weighted imaging was performed for healthy brain stem and temporal lobe specimens and for specimens with Alzheimer's disease pathology and neurodegeneration. The DiTSI framework was compared with four other diffusion MRI frameworks, and angular and radial DDE sampling were evaluated.

resultsDDE acquisition and the DiTSI metric maps of SA and RA in temporal lobe and brain-stem specimens were found to be distinct from fractional anisotropy and orientation dispersion index in providing complementary and selective contrast of microscale anisotropy at the gray-matter/white-matter interface in the cortex and in hippocampal layers. DiTSI maps also unmasked small fascicles in the brain stem that were not detectable by SDE techniques and provided selective contrast across the major fiber pathways. Results also revealed prominent reductions of SA and RA in tissue with Alzheimer's disease pathology that were not observed for any other framework.

conclusionsNew contrasts were evident for DiTSI framework metrics over a range of tissue environments with promise toward providing novel markers of pathology.

Indexed as

BrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingGray MatterImage Processing, Computer-AssistedAgedAlgorithmsAlzheimer DiseaseAnisotropyBrain StemFemaleHumansMaleMiddle AgedTemporal Lobebrain stemdiffusion tensor subspace imagingdouble diffusion encodingmicroscale anisotropytemporal lobe

Identifiers

PMID40034098
PMCPMC11971496

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LicenceCC BY-NC
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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.