Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

226
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
226
Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

554
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
554
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

358
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
358
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

298
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
298

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Convergent increases in serotonin 1B receptor binding following ketamine and electroconvulsive therapy: a multi-centre bayesian re-analysis of PET data.

Molecular psychiatry·2026
Same author

CSF galanin and noradrenaline downregulation by psilocybin therapy in major depressive disorder.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

Perturbation-Based Balance Training Reduces Falls and Fall Injuries in Older People: Insights on Mechanisms and Training Parameters From a Systematic Review.

Journal of the American Medical Directors Association·2026
Same author

Steps against the burden of Parkinson's disease (StepuP): Protocol of a randomized controlled trial elucidating the biomechanical and neurophysiological mechanisms of a speed dependent treadmill training intervention.

PloS one·2026
Same author

Towards improved balance exercise recommendations for older adults: integrating balance intensity into training dosage.

European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity·2026
Same author

Elevated serotonin 1A receptor binding in borderline personality disorder co-morbid with major depressive episodes appears attributable to major depression alone.

Journal of psychiatric research·2026

Related Experiment Video

Updated: Jan 11, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.8K

A reference tissue implementation of Simultaneous Multifactor Bayesian Analysis (SiMBA) of PET time activity curve

Granville J Matheson1,2,3,4, Johan Lundberg4, Martin Gärde4

  • 1Department of Psychiatry, Columbia University, New York, NY, United States.

Imaging Neuroscience (Cambridge, Mass.)
|November 19, 2025
PubMed
Summary

We developed Simultaneous Multifactor Bayesian Analysis (SiMBA) for PET imaging, improving quantification and analysis accuracy. This novel method enhances statistical power, reduces errors in binding potential estimation, and harmonizes data across centers for more reliable research outcomes.

Keywords:
Bayesian statisticsMarkov Chain Monte Carlomodellingpharmacokinetic modellingpositron emission tomographyquantification

More Related Videos

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.6K
Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
09:03

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

Published on: October 22, 2019

10.8K

Related Experiment Videos

Last Updated: Jan 11, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.8K
Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.6K
Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
09:03

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

Published on: October 22, 2019

10.8K

Area of Science:

  • Neuroimaging and Nuclear Medicine
  • Biostatistics and Quantitative Biology
  • Pharmacology and Drug Development

Background:

  • Conventional PET analysis involves a two-stage quantification and analysis process, which can limit accuracy and inferential efficiency.
  • Simultaneous Multifactor Bayesian Analysis (SiMBA) was previously introduced for two-tissue compartment models, improving parameter estimation and statistical power.
  • The need for a non-invasive reference tissue implementation of SiMBA for broader PET data analysis applications.

Purpose of the Study:

  • To extend the SiMBA framework to non-invasive reference tissue implementations, specifically the Full Reference Tissue Model (FRTM) and Simplified Reference Tissue Model (SRTM).
  • To evaluate the performance of the extended SiMBA model in terms of quantitative accuracy, statistical power, and replicability.
  • To demonstrate the utility of SiMBA for harmonizing PET data across different imaging centers and improving the efficiency of research studies.

Main Methods:

  • Implementation of SiMBA for non-invasive reference tissue models (FRTM and SRTM) within a hierarchical Bayesian framework.
  • Simulation studies to assess quantitative parameter estimation accuracy (e.g., binding potential, BP_ND) and statistical power compared to conventional methods.
  • Application of the SiMBA-SRTM model to real PET data ([11C]AZ10419369) from multiple centers, including analysis of associations with age and data harmonization using covariates.

Main Results:

  • The SiMBA-SRTM model provided good data description, while FRTM did not converge reliably.
  • SiMBA significantly improved quantitative parameter estimation accuracy, reducing error by an average of 57% for BP_ND in simulated data.
  • SiMBA modeling demonstrated statistical efficiency equivalent to doubling sample size with conventional methods, without increasing false-positive rates, and yielded replicable inferences across datasets.

Conclusions:

  • The extended SiMBA approach offers a novel, accurate, and statistically powerful method for non-invasive PET data quantification and analysis.
  • SiMBA enables effective harmonization of PET data across different centers, facilitating multi-center studies and increasing research reproducibility.
  • This method has the potential to significantly enhance the scope of research questions addressable with PET imaging using conventional sample sizes.