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

You might also read

Related Articles

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

Sort by
Same author

Three-Element Fractional-Order Viscoelastic Arterial Windkessel Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2018
Same author

Fractional dynamical model for neurovascular coupling.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
See all related articles

Related Experiment Video

Updated: Apr 10, 2026

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.9K

A Sensitivity Analysis of fMRI Balloon Model.

Chadia Zayane1, Taous Meriem Laleg-Kirati1

  • 1Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.

Computational and Mathematical Methods in Medicine
|June 17, 2015
PubMed
Summary

This study investigates the identifiability of the Balloon hemodynamic model used in functional magnetic resonance imaging (fMRI). It highlights the need for specific experimental designs and model calibration for accurate brain activation mapping.

More Related Videos

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

1.9K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.8K

Related Experiment Videos

Last Updated: Apr 10, 2026

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.9K
Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

1.9K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.8K

Area of Science:

  • Neuroimaging
  • Biophysics

Background:

  • Functional magnetic resonance imaging (fMRI) measures brain activity using Blood Oxygenation Level Dependent (BOLD) contrast.
  • Accurate interpretation of fMRI BOLD signals requires robust hemodynamic models.

Purpose of the Study:

  • To analyze the identifiability of the Balloon hemodynamic model.
  • To justify the necessity of specific experimental paradigms and prior knowledge in model calibration.
  • To extend existing identifiability studies for the Balloon model.

Main Methods:

  • Global sensitivity analysis of the Balloon hemodynamic model.
  • Focus on blocked design experiments for fMRI data.
  • Assessment of parameter estimation accuracy.

Main Results:

  • Identifiability of the Balloon model is constrained by experimental design and model calibration.
  • Sensitivity analysis reveals critical parameters and their impact on BOLD signal prediction.
  • Blocked design experiments present unique challenges and opportunities for model identifiability.

Conclusions:

  • The Balloon hemodynamic model's identifiability is crucial for accurate fMRI analysis.
  • Global sensitivity analysis provides a framework for understanding model parameter constraints.
  • Optimized experimental designs and calibration strategies are essential for reliable BOLD signal modeling.