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 Experiment Videos

An ROC approach for evaluating functional brain MR imaging and postprocessing protocols

R T Constable1, P Skudlarski, J C Gore

  • 1Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA.

Magnetic Resonance in Medicine
|July 1, 1995
PubMed
Summary
This summary is machine-generated.

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

The nature and interpretation of BOLD signals in white matter - A review.

Magnetic resonance imaging·2025
Same author

Exploring the diagnostic and prognostic utility of resting state functional MRI connectivity in acute/sub-acute TBI.

medRxiv : the preprint server for health sciences·2025
Same author

Functional network properties derived from wide-field calcium imaging differ with wakefulness and across cell type.

NeuroImage·2022
Same author

Substance use patterns in 9-10 year olds: Baseline findings from the adolescent brain cognitive development (ABCD) study.

Drug and alcohol dependence·2021
Same author

Baseline brain function in the preadolescents of the ABCD Study.

Nature neuroscience·2021
Same author

Tissue sodium content in patients with systemic lupus erythematosus: association with disease activity and markers of inflammation.

Lupus·2020
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
Same journal

Prospective Head Motion Correction in T1- and T2-Weighted Long Echo Train Sequences Using Servo Navigation.

Magnetic resonance in medicine·2026
See all related articles

This study introduces receiver-operator characteristic (ROC) analysis to quantitatively evaluate functional MRI methods. ROC curves objectively compare various data acquisition and postprocessing strategies for detecting brain activations.

Area of Science:

  • Neuroimaging
  • Medical Imaging Analysis
  • Biomedical Engineering

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for detecting regional brain activations.
  • Evaluating the performance of different fMRI acquisition and analysis techniques is essential for reliable results.
  • Objective and quantitative comparison methods are needed for optimizing fMRI studies.

Purpose of the Study:

  • To present a quantitative method for evaluating the performance of fMRI techniques.
  • To demonstrate the utility of receiver-operator characteristic (ROC) analysis in fMRI.
  • To compare different fMRI data acquisition and postprocessing strategies.

Main Methods:

  • Utilized computer-derived receiver-operator characteristic (ROC) curves for quantitative evaluation.

Related Experiment Videos

  • Applied ROC analysis to compare various gradient echo and echoplanar imaging protocols.
  • Assessed and compared multiple methods for analyzing fMRI data to identify activation regions.

    • Main Results:

    • ROC analysis provides a quantitative and objective framework for comparing fMRI methods.
    • The study illustrates the effectiveness of ROC curves in assessing different acquisition strategies.
    • Multiple postprocessing techniques for fMRI data analysis were evaluated using ROC analysis.

    Conclusions:

    • ROC analysis is a versatile tool for evaluating fMRI performance.
    • This method enables objective comparison of diverse fMRI acquisition and analysis protocols.
    • The approach can be extended to assess novel fMRI techniques and processing methods.