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

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

You might also read

Related Articles

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

Sort by
Same author

Does a monoclonal antibody targeting immune cells affect glutamatergic level in schizophrenia? A multimodal PET/MRS brain imaging study.

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

Molecular, cellular and network mapping of brain structural deviations in patients with Post-COVID19 syndrome.

Brain, behavior, & immunity - health·2026
Same author

Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces.

Research square·2026
Same author

Viloxazine occupies the 5-HT2C receptor in the macaca fascicularis brain in vivo: A [11C]CIMBI-36 positron emission tomography study.

The international journal of neuropsychopharmacology·2026
Same author

Glucose metabolism echoes long-range temporal correlations in the human brain.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Investigating AD and non-AD [<sup>18</sup>F]flortaucipir distribution patterns in a memory clinic cohort.

European journal of nuclear medicine and molecular imaging·2026

Related Experiment Video

Updated: May 13, 2026

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG
10:31

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

Voxelwise quantification of [(11)C](R)-rolipram PET data: a comparison between model-based and data-driven methods.

Gaia Rizzo1, Mattia Veronese, Paolo Zanotti-Fregonara

  • 1Department of Information Engineering, University of Padova, Padova, Italy.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|March 21, 2013
PubMed
Summary

The hierarchical basis function method (H-BFM) provides the most accurate parametric mapping for [(11)C](R)-rolipram brain PET studies. Data-driven methods and Logan plot are viable alternatives for specific applications.

More Related Videos

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
15:10

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat

Published on: December 28, 2013

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

Related Experiment Videos

Last Updated: May 13, 2026

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG
10:31

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

Published on: December 28, 2014

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
15:10

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat

Published on: December 28, 2013

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
08:40

Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis

Published on: February 28, 2021

Area of Science:

  • Nuclear medicine
  • Neuroscience
  • Pharmacology

Background:

  • Positron Emission Tomography (PET) enables in vivo quantification of neuroreceptors.
  • Accurate parametric mapping is crucial for interpreting [(11)C](R)-rolipram brain PET studies.
  • Comparing different kinetic modeling methods is essential for optimizing data analysis.

Purpose of the Study:

  • To compare model-based and data-driven methods for generating parametric maps in [(11)C](R)-rolipram brain PET.
  • To identify the most precise and accurate methodology for tracer kinetic quantification.
  • To evaluate the performance of H-BFM, spectral analysis (SA), and Logan plot against a reference standard.

Main Methods:

  • Generated parametric images using a two-tissue compartmental model (2TCM) with H-BFM linear estimator.
  • Employed data-driven spectral analysis methods: standard SA and rank-shaping SA (RS).
  • Utilized the Logan graphical plot and compared results to voxelwise 2TCM solved with nonlinear least squares (WNLLS).

Main Results:

  • H-BFM demonstrated the best agreement with WNLLS values for voxelwise VT estimates (1±1% mean relative difference).
  • H-BFM showed the highest correlation with WNLLS (R²=0.973).
  • Standard SA, RS, and Logan plot showed good agreement and high correlation (R²>0.96) with WNLLS, despite slight bias.

Conclusions:

  • H-BFM offers the most reliable voxelwise quantification and complete kinetic description for [(11)C](R)-rolipram PET.
  • The Logan plot is a valid alternative for VT estimation, offering computational efficiency and robustness.
  • All evaluated methods provide comparable variability in relative differences, but H-BFM excels in accuracy and precision.