Evidence map›Paper›PMID 38715469›Full record

ArticleNMR in biomedicine2024

High-resolution

Yizun Wang, Urbi Saha, Stanislav S Rubakhin, Edward J Roy, Andrew M Smith, Jonathan V Sweedler, Fan Lam

Abstract read
In one paragraph

Article in NMR in biomedicine, 2024. 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. 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.

Yizun WangDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Urbi SahaNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Stanislav S RubakhinBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Edward J RoyNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Andrew M SmithDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Jonathan V SweedlerBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Fan LamDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

Funding

High-Throughput 3D Multiscale Mass Spectrometry Imaging for Understanding Neurochemical Heterogeneity in Alzheimer's DiseaseR01AG078797 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Fan Lam, Orly Lazarov · 2022 to 2026
$3.6M
Nanomedicine-Based Targeting of Inflammatory Macrophages in Diabetic Wound RepairR01DK131782 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Katherine Ann Gallagher, Andrew Michael Smith · 2022 to 2026
$2.4M
Towards In Vivo Imaging of Tissue MetabolomicsR35GM142969 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Fan Lam · 2021 to 2026
$2.4M
NIA NIH HHS R01 AG078797NIDDK NIH HHS R01 DK131782NIGMS NIH HHS R35 GM142969
6 · The paper itself

Abstract

Achieving high-resolution and high signal-to-noise ratio (SNR) in vivo metabolic imaging via fast magnetic resonance spectroscopic imaging (MRSI) has been a longstanding challenge. This study combines the methods of relaxation enhancement (RE) and subspace imaging for the first time, enabling high-resolution and high-SNR in vivo MRSI of rodent brains at 9.4 T. Specifically, an RE-based chemical shift imaging sequence, which combines a frequency-selective pulse to excite only the metabolite frequencies with minimum perturbation of the water spins and a pair of adiabatic pulses to spatially localize the slice of interest, is designed and evaluated in vivo. This strategy effectively shortens the apparent T

Indexed as

Signal-To-Noise RatioAnimalsBrainMagnetic Resonance ImagingMaleMiceProton Magnetic Resonance SpectroscopyMR spectroscopic imagingrelaxation enhancementsmall‐animal imagingsubspace imagingultrahigh field

Identifiers

PMID38715469
PMCPMC11469943

What Socratic holds

Textmetadata
LicenceCC BY-ND
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.