Evidence map›Paper›PMID 42420209›Full record

ArticleNMR in biomedicine2026

Standard Model Imaging in the Brain and Spinal Cord of MS Patients: Initial Assessment and Comparison to Diffusion Tensor Imaging.

Atlee Witt, Alicia E Cronin, Bailey Busher, Isabella Stuart, Grace Sweeney, Kristin P O'Grady, Seth A Smith, Samantha By, Kurt Schilling

Abstract readComparative Study
In one paragraph

Article in NMR in biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Atlee WittVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-2939-263X
Alicia E CroninVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-8058-0126
Bailey BusherVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Isabella StuartVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Grace SweeneyVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Seth A SmithVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Samantha ByBristol Myers Squibb, Lawrenceville, New Jersey, USA.ORCID https://orcid.org/0000-0001-8158-2732
Kurt SchillingVanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-3686-7645

Funding

Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
Development of Advanced MRI for the Thoracolumbar Spinal Cord for Clinical ApplicationK01EB030039 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2020 to 2023
$622k
Ultra-High Performance Gradients for a 3T MRI Research ScannerS10MH133645 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2023 to 2023
$600k
Patient-Centered Neurological Evaluation of Functional MRI Outcomes in Multiple SclerosisF31NS139573 · NINDS · VANDERBILT UNIVERSITY · PI WITT, ATLEE · 2025 to 2025
$35k
Bristol Myers SquibbNational Multiple Sclerosis Society JF-2306-41540Natural Sciences and Engineering Research Council of Canada PDFNIBIB NIH HHS K01EB030039NIBIB NIH HHS K01EB032898NIH HHS S10 OD021771NIMH NIH HHS S10 MH133645NINDS NIH HHS 5R01NS117816-04NINDS NIH HHS F31NS139573
6 · The paper itself

Abstract

Multiple sclerosis (MS) pathology manifests across the central nervous system (CNS), yet magnetic resonance imaging (MRI) studies frequently assess the brain and spinal cord (SC) in isolation. It remains unclear whether microstructural injury in normal-appearing white matter (NAWM) and lesions manifests identically across these distinct anatomical environments or if advanced biophysical models offer diagnostic advantages over standard diffusion techniques. We performed a comprehensive 3T MRI protocol with same-session brain and cervical SC imaging on 34 persons with relapsing-remitting MS (pwRRMS) and 36 healthy controls (HCs). We focused on diffusion frameworks (diffusion tensor imaging [DTI], standard model imaging with free water [SMIfw]) to quantify and compare microstructural integrity between the brain and cervical SC for the first time. Specifically, we assessed the feasibility of SMI for clinical implementation in terms of sensitivity (contrast between lesions and NAWM in pwRRMS) and reliability (HC reproducibility). Our findings indicate that both simple (DTI) and advanced (SMI) models are sensitive to MS-related microstructural changes, but the utility varied by region: notably, SMI-derived neurite density fraction (f) emerged as a robust marker of MS pathology in both the brain and SC, while DTI metrics like fractional anisotropy (FA) and radial diffusivity (RD) showed comparable sensitivity exclusively in the brain. Though axonal loss appears to be a global feature detectable even in early-stage disease, the inflammatory or edematous environment of lesions differs fundamentally between the brain and SC. Taken together, these findings demonstrate the utility of SMI for comprehensive CNS assessment and support its potential for future usage in clinical trials and improved disease monitoring.

Indexed as

BrainDiffusion Tensor ImagingMultiple SclerosisSpinal CordAdultFemaleHumansMaleMiddle AgedReproducibility of Resultsbraindiffusion modelsdiffusion‐weighted imagingmultiple sclerosisspinal cord

Identifiers

PMID42420209
PMCPMC13346334

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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.