Evidence map›Paper›PMID 31158479›Full record

ArticleNeuroImage2019

Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [

Martin Nørgaard, Melanie Ganz, Claus Svarer, Vibe G Frokjaer, Douglas N Greve, Stephen C Strother, Gitte M Knudsen

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Different preprocessing strategies lead to different conclusions: A [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Trial
  2. High-temporal resolution metabolic connectivity resolved by component-based noise correction.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. An automatic analysis framework for FDOPA PET neuroimaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  8. Article
  9. Review
  10. In vivo correlation of serotonin transporter and 1B receptor availability in the human brain: a PET study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  11. Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  12. False positive rates in positron emission tomography (PET) voxelwise analyses.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  13. Article
  14. Article
  15. Guidelines for the content and format of PET brain data in publications and archives: A consensus paper.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
  16. 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

7 authors.

Martin NørgaardNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Melanie GanzNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Claus SvarerNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Vibe G FrokjaerNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Douglas N GreveAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Stephen C StrotherRotman Research Institute, Baycrest, Department of Medical Biophysics, University of Toronto, Toronto, Canada.
Gitte M KnudsenNeurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. Electronic address: gmk@nru.dk.

Funding

Multimodal brain imaging of serotoninR21EB018964 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI GREVE, DOUGLAS NOWLIN, KNUDSEN, GITTE MOOS · 2014 to 2015
$423k
NIBIB NIH HHS R21 EB018964
6 · The paper itself

Abstract

Positron Emission Tomography (PET) is an important neuroimaging tool to quantify the distribution of specific molecules in the brain. The quantification is based on a series of individually designed data preprocessing steps (pipeline) and an optimal preprocessing strategy is per definition associated with less noise and improved statistical power, potentially allowing for more valid neurobiological interpretations. In spite of this, it is currently unclear how to design the best preprocessing pipeline and to what extent the choice of each preprocessing step in the pipeline minimizes subject-specific errors. To evaluate the impact of various preprocessing strategies, we systematically examined 384 different pipeline strategies in data from 30 healthy participants scanned twice with the serotonin transporter (5-HTT) radioligand [

Indexed as

AdolescentAdultAniline CompoundsBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingPositron-Emission TomographyRadiopharmaceuticalsSerotonin Plasma Membrane Transport ProteinsSulfidesYoung Adult3-amino-4-(2-dimethylaminomethylphenylsulfanyl)benzonitrileAniline CompoundsRadiopharmaceuticalsSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanSulfides[(11)C]DASBHead motionKinetic modelingOptimizationPartial volume correctionPositron emission tomographyPreprocessingTest-retest

Identifiers

PMID31158479
PMCPMC6688914

What OpenQuestion holds

Textmetadata
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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.