Evidence map›Paper›PMID 41708563›Full record

ArticleActa neuropathologica2026

Neuropathologic basis of quantitative susceptibility mapping in the substantia nigra: contributions of tau, pigmented neurons, and iron.

Daisuke Ono, Sravya Kondrakunta, Elijah Mak, Scott A Przybelski, Angela J Fought, Christopher G Schwarz, Melissa E Murray, Aivi Nguyen, Ross R Reichard, Matthew L Senjem and 20 more

Abstract read
In one paragraph

Article in Acta neuropathologica, 2026. 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

30 authors.

Daisuke OnoDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Sravya KondrakuntaDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Elijah MakDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Scott A PrzybelskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Angela J FoughtDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Christopher G SchwarzDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Melissa E MurrayDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Aivi NguyenDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Ross R ReichardDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Matthew L SenjemDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Jeffrey L GunterDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Clifford R JackDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Toji MiyagawaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Leah K ForsbergDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Julie A FieldsDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Rodolfo SavicaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Vijay K RamananDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
David T JonesDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Hugo BothaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Erik K St LouisDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Tanis J FermanDepartment of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA.
Walter K KremersDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Val J LoweDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Bradley F BoeveDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Dennis W DicksonDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, USA.
Kejal KantarciDepartment of Radiology, Opus Imaging Research Building, Mayo Clinic, Crossroads Dr SW, Rochester, MN, 55902, USA. kantarci.kejal@mayo.edu.

Funding

ADRC Consortium for Clarity in ADRD Research Through ImagingU01AG082350 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sarah Biber, BRADFORD C DICKERSON · 2023 to 2026
$90.0M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
Longitudinal Imaging Biomarkers of Prodromal DLBU01NS100620 · NINDS · MAYO CLINIC ROCHESTER · PI Bradley F Boeve, KEJAL KANTARCI · 2017 to 2026
$19.2M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Pathological basis of MRS and DTI changes in neurodegenerative dementiaR01AG040042 · NIA · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2011 to 2015
$1.6M
NIA NIH HHS P30 AG062677NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG040042NIA NIH HHS R01 AG041851NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG082350NINDS NIH HHS U01 NS100620
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) on MRI quantifies tissue magnetic susceptibility, which increases with iron accumulation, myelin loss, and neuroinflammation. Elevated QSM in the substantia nigra (SN) has been reported in Lewy body disease and other parkinsonian disorders, but from existing literature it remains unclear whether these findings are driven by neurodegeneration-related iron deposition or other neuropathologic features. We studied 59 autopsied participants who underwent antemortem 3 T MRI with QSM (median age at death, 78.5 years; MRI-to-death interval, 2.0 years), including clinical diagnoses of 18 with Alzheimer's-type dementia, 15 cognitively unimpaired, 9 with mild cognitive impairment, and 9 with dementia with Lewy bodies. A machine learning-incorporated digital histopathology pipeline quantified tau burden, iron deposition, and neuronal densities. The SN was divided into geometric quadrants, and QSM values were analyzed in relation to corresponding neuropathologic measures within each quadrant. Iron deposition correlated with QSM in all quadrants (ρ = 0.41-0.56, all P < 0.005). Tau burden correlated with QSM in the ventromedial (VM) quadrant (ρ = 0.45, P = 0.002), whereas lower pigmented neuron density was associated with higher QSM in the dorsomedial quadrant (ρ = - 0.35, P = 0.007). Rank regression analysis confirmed iron as the strongest predictor of QSM across all quadrants (β = 0.35-1.06, P ≤ 0.026), with tau independently associated with QSM in the VM (β = 0.45, P = 0.015). Mediation analysis demonstrated that tau exerted direct (0.45, P = 0.018) and indirect effects via iron (0.12, P = 0.046) on QSM in the VM, with 80% of the effect being direct. These findings underscore the contributions of tau pathology, pigmented neuron density, and iron deposition to nigral magnetic susceptibility and highlight the potential for QSM to serve as a sensitive biomarker for diverse neuropathologies.

Indexed as

IronNeuronsSubstantia Nigratau ProteinsAgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionFemaleHumansLewy Body DiseaseMagnetic Resonance ImagingMaleIrontau ProteinsAlzheimer’s diseaseArtificial intelligenceLewy body diseaseMachine learningQuantitative susceptibility mapping

Identifiers

PMID41708563
PMCPMC12916521

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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.