Evidence map›Paper›PMID 30792460›Full record

ArticleScientific reports2019

Covariance statistics and network analysis of brain PET imaging studies.

Mattia Veronese, Lucia Moro, Marco Arcolin, Ottavia Dipasquale, Gaia Rizzo, Paul Expert, Wasim Khan, Patrick M Fisher, Claus Svarer, Alessandra Bertoldo and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Network-Based Analysis for the Quantification of Brain and Body Immune Axes with Total-Body PET Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Molecular connectivity studies in neurotransmission: a scoping review.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Dopamine D1-Receptor Organization Contributes to Functional Brain Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  17. Brain metabolic network covariance and aging in a mouse model of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  18. Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  19. A new framework for metabolic connectivity mapping using bolus [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    Article
  20. 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

12 authors.

Mattia VeroneseDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom. mattia.veronese@kcl.ac.uk.ORCID 0000-0003-3562-0683
Lucia MoroDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.
Marco ArcolinDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.
Ottavia DipasqualeDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.ORCID 0000-0002-2867-8222
Gaia RizzoInvicro UK, London, United Kingdom.ORCID 0000-0001-7272-8576
Paul ExpertDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.
Wasim KhanDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.
Patrick M FisherNeurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Claus SvarerNeurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Alessandra BertoldoDepartment of Information Engineering, University of Padova, Padova, Italy.
Oliver HowesDepartment of Psychosis studies, IoPPN, King's College London, London, United Kingdom.
Federico E TurkheimerDepartment of Neuroimaging, IoPPN, King's College London, London, United Kingdom.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Department of HealthMedical Research Council MC_U120097115NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

The analysis of structural and functional neuroimaging data using graph theory has increasingly become a popular approach for visualising and understanding anatomical and functional relationships between different cerebral areas. In this work we applied a network-based approach for brain PET studies using population-based covariance matrices, with the aim to explore topological tracer kinetic differences in cross-sectional investigations. Simulations, test-retest studies and applications to cross-sectional datasets from three different tracers ([

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrainCase-Control StudiesCross-Sectional StudiesDihydroxyphenylalanineDisease ProgressionFemaleFluorodeoxyglucose F18HumansMaleNeuroimagingPositron-Emission TomographyRadiographic Image Interpretation, Computer-AssistedRadiopharmaceuticalsDihydroxyphenylalanineFluorodeoxyglucose F18fluorodopa F 18Radiopharmaceuticals

Identifiers

PMID30792460
PMCPMC6385265

What OpenQuestion holds

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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.