Evidence map›Paper›PMID 37438367›Full record

ArticleScientific data2023

Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration.

Alaa Taha, Greydon Gilmore, Mohamad Abbass, Jason Kai, Tristan Kuehn, John Demarco, Geetika Gupta, Chris Zajner, Daniel Cao, Ryan Chevalier and 15 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

25 authors.

Alaa TahaImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Greydon GilmoreImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Mohamad AbbassImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Jason KaiImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Tristan KuehnImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
John DemarcoImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Geetika GuptaImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Chris ZajnerImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Daniel CaoImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.ORCID 0000-0003-1024-3340
Ryan ChevalierDepartment of Clinical Neurological Sciences, Division of Neurosurgery, Western University, London, Canada.
Abrar AhmedImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Ali HadiImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Bradley G KaratImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Olivia W StanleyImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Patrick J ParkImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Kayla M FerkoImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Dimuthu HemachandraImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Reid VassalloSchool of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, The University of British Columbia, Vancouver, Canada.
Magdalena JachDepartment of Clinical Neurological Sciences, Division of Neurosurgery, Western University, London, Canada.
Arun ThurairajahImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Sandy WongImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Mauricio C TenorioImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Feyi OgunsanyaImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.
Ali R KhanImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada.ORCID 0000-0002-0760-8647
Jonathan C LauImaging Research Laboratories, Robarts Research Institute, Western University, London, Canada. jonathan.lau@uwo.ca.ORCID 0000-0002-8452-8915

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2004 to 2008
$11.2M
Functional-anatomic exploration of cognitive controlR01AG021910 · NIA · WASHINGTON UNIVERSITY · PI BUCKNER, RANDY L · 2005 to 2009
$1.2M
NCRR NIH HHS U24 RR021382NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG021910NIMH NIH HHS P50 MH071616NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol for point-based assessment of image registration with millimetric (mm) accuracy. In this data descriptor, we release curated AFID placements for some of the most commonly used structural magnetic resonance imaging datasets and templates. The release of our accurate placements allows for rapid quality control of image registration, teaching neuroanatomy, and clinical applications such as disease diagnosis and surgical targeting. We release placements on individual subjects from four datasets (N = 132 subjects for a total of 15,232 fiducials) and 14 brain templates (4,288 fiducials), totalling more than 300 human rater hours of annotation. We also validate human rater accuracy of released placements to be within 1 - 2 mm (using more than 45,000 Euclidean distances), consistent with prior studies. Our data is compliant with the Brain Imaging Data Structure allowing for facile incorporation into neuroimaging analysis pipelines.

Indexed as

Magnetic Resonance ImagingNeuroimagingBrainHumansQuality Control

Identifiers

PMID37438367
PMCPMC10338502

What OpenQuestion 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 OpenQuestion graph.