Evidence map›Paper›PMID 41256476›Full record

ArticlebioRxiv : the preprint server for biology2025

Multimodal MR Imaging for quantification of brain lipid in mice at 9.4T.

Sunil Kumar Khokhar, Anshuman Swain, Narayan Datt Soni, Halvor Juul, Abeer Mathur, Dipak Roy, Blake Benyard, Dushyant Kumar, Ravi Prakash Reddy Nanga, Mohammad Haris and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

11 authors.

Sunil Kumar KhokharCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Anshuman SwainCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Narayan Datt SoniCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Halvor JuulCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Abeer MathurCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Dipak RoyCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Blake BenyardCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Dushyant KumarCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Ravi Prakash Reddy NangaCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Mohammad HarisCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.
Ravinder ReddyCenter for Advanced Metabolic Imaging in Precision Medicine, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States.

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
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
Novel imaging biomarkers of neuroinflammation in Alzheimer's diseaseR01AG091760 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Mohammad Haris · 2025 to 2026
$1.6M
NIA NIH HHS R01 AG063869NIA NIH HHS R01 AG091760NIA NIH HHS RF1 AG087306NIBIB NIH HHS P41 EB029460
6 · The paper itself

Abstract

Background: Advanced MR imaging techniques like steady state Nuclear Overhauser enhancement (ssNOE), transient NOE (tNOE), and myelin water fraction (MWF) provide a non-invasive way to assess the biochemical and structural integrity of brain tissue. Their sensitivity to endogenous lipids and macromolecules allows for the early detection of neuropathological changes, making them valuable tools in studying brain health and disease progression. In this study, we systematically evaluate the repeatability and sensitivity of NOE Methods: Five 6-month-old C57BL6/J mice were imaged using 3D-NOE, and four mice underwent imaging with 2D tNOE and MWF across four repeated sessions using a 9.4T Scanner. For ssNOE imaging, CEST-weighted images at 56 frequency offsets were acquired using B Results: All techniques demonstrated high repeatability across the whole brain (WB) and selected regions of interest (ROIs). Whole-brain intra-subject COV% for NOE Conclusion: NOE

Indexed as

BrainLipid ImagingMWFMyelinationNOEMTRRepeatabilitytNOE

Identifiers

PMID41256476
PMCPMC12621774

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.