ArticleNeuroImage2022
Simultaneous multifactor Bayesian analysis (SiMBA) of PET time activity curve data.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed.
- Convergent increases in serotonin 1B receptor binding following ketamine and electroconvulsive therapy: a multi-centre bayesian re-analysis of PET data.Molecular psychiatry · 2026Article
- A reference tissue implementation of Simultaneous Multifactor Bayesian Analysis (SiMBA) of PET time activity curve data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Exact parameter identification in PET pharmacokinetic modeling using the irreversible two tissue compartment modelPhysics in medicine and biology · 2024Article
- PET imaging of the serotonin 1A receptor in major depressive disorder: Hierarchical multivariate analysis of [Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Multivariate analysis of PET pharmacokinetic parameters improves inferential efficiency.EJNMMI physics · 2023Article
- Application of positron emission tomography in psychiatry-methodological developments and future directions.Translational psychiatry · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Positron emission tomography (PET) is an in vivo imaging method essential for studying the neurochemical pathophysiology of psychiatric and neurological disease. However, its high cost and exposure of participants to radiation make it unfeasible to employ large sample sizes. The major shortcoming of PET imaging is therefore its lack of power for studying clinically-relevant research questions. Here, we introduce a new method for performing PET quantification and analysis called SiMBA, which helps to alleviate these issues by improving the efficiency of PET analysis by exploiting similarities between both individuals and regions within individuals. In simulated [
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Registered trials
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.