Evidence map›Paper›PMID 39980739›Full record

ArticleBrain communications2025

Diffuse nuclear Overhauser effect MRI contrast changes detected in multiple sclerosis subjects at 7T.

Paul S Jacobs, Anshuman Swain, Neil Wilson, Fang Liu, Blake Benyard, Bailey Spangler, Madeleine Seitz, Allen Fu, Ravi Prakash Reddy Nanga, Mark A Elliott and 5 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Multimodal MR Imaging for quantification of brain lipid in mice at 9.4T.bioRxiv : the preprint server for biology · 2025
    Article
  8. 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

15 authors.

Paul S JacobsCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0003-3566-4010
Anshuman SwainCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Neil WilsonCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Fang LiuPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Blake BenyardCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bailey SpanglerPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Madeleine SeitzPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Allen FuPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ravi Prakash Reddy NangaCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Mark A ElliottCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Amit Bar-OrDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
John DetreCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jennifer Orthmann MurphyDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Matthew K SchindlerDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0003-0157-5669
Ravinder ReddyCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0003-4580-2392

Funding

High Spatial and Temporal Resolution MRI Mapping of Oxygen Consumption in HumansP41EB029460 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Ravinder Reddy · 2021 to 2026
$7.6M
In vivo Mapping of Muscle Specific MetabolismR01AG071725 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Ravinder Reddy · 2022 to 2026
$3.1M
Imaging of glutamatergic system changes in Alzheimer's disease in vivoR01AG063869 · NIA · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2020 to 2024
$3.0M
Novel Imaging Biomarkers of Lipid and Ketone Metabolism in Alzheimer's DiseaseRF1AG087306 · NIA · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2024 to 2024
$2.1M
NIA NIH HHS R01 AG063869NIA NIH HHS R01 AG071725NIA NIH HHS RF1 AG087306NIBIB NIH HHS P41 EB029460
6 · The paper itself

Abstract

Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21-70 years)] and 10 healthy controls [5 females, 5 males (23-71 years)]} on a 7T MRI system with a frequency offset range of -5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T

Indexed as

CESTlipid metabolismmagnetic resonancemultiple sclerosisNOE

Identifiers

PMID39980739
PMCPMC11840165

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.