Evidence map›Paper›PMID 28411157›Full record

ArticleNeuroImage2017

The separate effects of lipids and proteins on brain MRI contrast revealed through tissue clearing.

Christoph Leuze, Markus Aswendt, Emily Ferenczi, Corey W Liu, Brian Hsueh, Maged Goubran, Qiyuan Tian, Gary Steinberg, Michael M Zeineh, Karl Deisseroth and 1 more

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Revealing the MRI-Contrast in Optically Cleared Brains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Article
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  11. Article
  12. bioRxiv : the preprint server for biology · 2023
    Article
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  15. Article
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  18. Article
  19. Review
  20. Brain tract structure predicts relapse to stimulant drug use.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

11 authors at 2 institutions in 1 country.

Christoph LeuzeDepartment of Radiology, Stanford University, Stanford, CA, USA. Electronic address: cleuze@stanford.edu.
Markus AswendtDepartment of Neurosurgery, Stanford University, Stanford, CA, USA.
Emily FerencziDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Corey W LiuStanford Magnetic Resonance Laboratory, Stanford University, Stanford, CA, USA.
Brian HsuehDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Maged GoubranDepartment of Radiology, Stanford University, Stanford, CA, USA.
Qiyuan TianDepartment of Radiology, Stanford University, Stanford, CA, USA.
Gary SteinbergDepartment of Neurosurgery, Stanford University, Stanford, CA, USA.
Michael M ZeinehDepartment of Radiology, Stanford University, Stanford, CA, USA.
Karl DeisserothDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
Jennifer A McNabDepartment of Radiology, Stanford University, Stanford, CA, USA.
Stanford University · USHoward Hughes Medical Institute · US

Funding

Zoledronic Acid in Treatment of Osteoporosis in PostmenoM01RR002635 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI WILLIAMS, GORDON H · 1985 to 2008
$48.4M
Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Foundations of MRI Corticography for mesoscale organization and neuronal circuitryR01MH111444 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN · 2016 to 2020
$5.1M
Integration of Diffusion MRI Fiber Tracking and CLARITY 3D Histology for Improved Neurosurgical TargetingR01NS095985 · NINDS · STANFORD UNIVERSITY · PI Jennifer A McNab · 2016 to 2026
$3.8M
Howard Hughes Medical InstituteNCRR NIH HHS M01 RR002635NIBIB NIH HHS P41 EB015891NIMH NIH HHS R01 MH111444NINDS NIH HHS R01 NS095985
6 · The paper itself

Abstract

Despite the widespread use of magnetic resonance imaging (MRI) of the brain, the relative contribution of different biological components (e.g. lipids and proteins) to structural MRI contrasts (e.g., T1, T2, T2*, proton density, diffusion) remains incompletely understood. This limitation can undermine the interpretation of clinical MRI and hinder the development of new contrast mechanisms. Here, we determine the respective contribution of lipids and proteins to MRI contrast by removing lipids and preserving proteins in mouse brains using CLARITY. We monitor the temporal dynamics of tissue clearance via NMR spectroscopy, protein assays and optical emission spectroscopy. MRI of cleared brain tissue showed: 1) minimal contrast on standard MRI sequences; 2) increased relaxation times; and 3) diffusion rates close to free water. We conclude that lipids, present in myelin and membranes, are a dominant source of MRI contrast in brain tissue.

Indexed as

Brain ChemistryLipidsMagnetic Resonance ImagingProteinsAnimalsBrainMagnetic Resonance SpectroscopyMiceNeuroimagingTissue FixationLipidsProteins

Identifiers

PMID28411157
PMCPMC5548623
OpenAlexW2606556535

What OpenQuestion holds

Textmetadata
LicenceTDM
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.