Evidence map›Paper›PMID 37661080›Full record

ArticleNeuroImage2023

The diamagnetic component map from quantitative susceptibility mapping (QSM) source separation reveals pathological alteration in Alzheimer's disease-driven neurodegeneration.

Maruf Ahmed, Jingjia Chen, Arvin Arani, Matthew L Senjem, Petrice M Cogswell, Clifford R Jack, Chunlei Liu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Importance of RMagnetic resonance in medicine · 2026
    Article
  4. Review
  5. [Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
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  9. Article
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  12. Article
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  15. Article
  16. Review
  17. Article
  18. Distinct regional vulnerability to Aβ and iron accumulation in post mortem AD brains.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  19. Review
  20. So You Want to Image Myelin Using MRI: Magnetic Susceptibility Source Separation for Myelin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
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

7 authors at 2 institutions in 1 country.

Maruf AhmedDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
Jingjia ChenDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA.
Arvin AraniDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
Matthew L SenjemDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Department of Information Technology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
Petrice M CogswellDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA.
Chunlei LiuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA. Electronic address: chunlei.liu@berkeley.edu.
Mayo Clinic · USUniversity of California, Berkeley · US

Funding

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
Robotically-actuated, low-noise, concurrent TMS-EEG-fMRI systemR01MH127104 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI, LUSTIG, MICHAEL · 2021 to 2024
$6.5M
Imaging brain iron and protein aggregation with MRI for assessing Alzheimer's disease pathology and progressionR01AG070826 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI GRINBERG, LEA TENENHOLZ, LIU, CHUNLEI · 2021 to 2025
$3.3M
NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG070826NIA NIH HHS U01 AG006786NIMH NIH HHS R01 MH127104
6 · The paper itself

Abstract

A sensitive and accurate imaging technique capable of tracking the disease progression of Alzheimer's Disease (AD) driven amnestic dementia would be beneficial. A currently available method for pathology detection in AD with high accuracy is Positron Emission Tomography (PET) imaging, despite certain limitations such as low spatial resolution, off-targeting error, and radiation exposure. Non-invasive MRI scanning with quantitative magnetic susceptibility measurements can be used as a complementary tool. To date, quantitative susceptibility mapping (QSM) has widely been used in tracking deep gray matter iron accumulation in AD. The present work proposes that by compartmentalizing quantitative susceptibility into paramagnetic and diamagnetic components, more holistic information about AD pathogenesis can be acquired. Particularly, diamagnetic component susceptibility (DCS) can be a powerful indicator for tracking protein accumulation in the gray matter (GM), demyelination in the white matter (WM), and relevant changes in the cerebrospinal fluid (CSF). In the current work, voxel-wise group analysis of the WM and the CSF regions show significantly lower |DCS| (the absolute value of DCS) value for amnestic dementia patients compared to healthy controls. Additionally, |DCS| and τ PET standardized uptake value ratio (SUVr) were found to be associated in several GM regions typically affected by τ deposition in AD. Therefore, we propose that the separated diamagnetic susceptibility can be used to track pathological neurodegeneration in different tissue types and regions of the brain. With the initial evidence, we believe the usage of compartmentalized susceptibility demonstrates substantive potential as an MRI-based technique for tracking AD-driven neurodegeneration.

Indexed as

Alzheimer DiseaseBrainCerebral CortexDisease ProgressionGray MatterHumansAlzheimer's diseaseDECOMPOSEDemyelinationMagnetic susceptibilityNeurodegenerationQuantitative susceptibility mapping

Identifiers

PMID37661080
PMCPMC13014792
OpenAlexW4386385018

What OpenQuestion holds

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LicenceCC BY
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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.