Evidence map›Paper›PMID 38025281›Full record

ArticleBrain communications2023

The Brainbox

Wolfgang Faigle, Marco Piccirelli, Tibor Hortobágyi, Karl Frontzek, Amelia Elaine Cannon, Wolfgang Emanuel Zürrer, Tobias Granberg, Zsolt Kulcsar, Thomas Ludersdorfer, Katrin B M Frauenknecht and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Effects of Postmortem Intervals on Quantitative MRI in Unfixed and Fixed Swine Brain: Implications for Ex Vivo MRI Applications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  4. 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

12 authors.

Wolfgang FaigleNeuroimmunology and MS Research Section, Neurology Clinic, University Zurich, University Hospital Zurich, CH-8091 Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7664-8722
Marco PiccirelliDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, CH-8091 Zurich, Switzerland.
Tibor HortobágyiInstitute of Neuropathology, University of Zurich, CH-8091 Zurich, Switzerland.ORCID https://orcid.org/0000-0001-5732-7942
Karl FrontzekInstitute of Neuropathology, University of Zurich, CH-8091 Zurich, Switzerland.
Amelia Elaine CannonDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, CH-8091 Zurich, Switzerland.
Wolfgang Emanuel ZürrerDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, CH-8091 Zurich, Switzerland.
Tobias GranbergDepartment of Neuroradiology, Karolinska University Hospital, S-141 86 Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6700-1022
Zsolt KulcsarDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, CH-8091 Zurich, Switzerland.
Thomas LudersdorferNeuroimmunology and MS Research Section, Neurology Clinic, University Zurich, University Hospital Zurich, CH-8091 Zurich, Switzerland.
Katrin B M FrauenknechtInstitute of Neuropathology, University of Zurich, CH-8091 Zurich, Switzerland.ORCID https://orcid.org/0000-0002-1372-3297
Regina ReimannInstitute of Neuropathology, University of Zurich, CH-8091 Zurich, Switzerland.ORCID https://orcid.org/0000-0002-6396-4195
Benjamin Victor IneichenDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, CH-8091 Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1362-4819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) has limitations in identifying underlying tissue pathology, which is relevant for neurological diseases such as multiple sclerosis, stroke or brain tumours. However, there are no standardized methods for correlating MRI features with histopathology. Thus, here we aimed to develop and validate a tool that can facilitate the correlation of brain MRI features to corresponding histopathology. For this, we designed the Brainbox, a waterproof and MRI-compatible 3D printed container with an integrated 3D coordinate system. We used the Brainbox to acquire post-mortem

Indexed as

correlationhistopathologymagnetic resonance imagingmultiple sclerosisneuroimaging

Identifiers

PMID38025281
PMCPMC10664401

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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.