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

Real-time functional magnetic resonance imaging

R W Cox1, A Jesmanowicz, J S Hyde

  • 1Biophysics Research Institute, Medical College of Wisconsin, Milwaukee 53226-0509, USA.

Magnetic Resonance in Medicine
|February 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

Cheap calories, expensive nutrition?

British dental journal·2022
Same author

Meta-metallic coils and resonators: Methods for high Q-value resonant geometries.

The Review of scientific instruments·2016
Same author

On the Empirical Relation Between Spatial Ability and Sex Differences in Other Aspects of Cognitive Performance.

Multivariate behavioral research·2016
Same author

Hyperbolic-cosine waveguide tapers and oversize rectangular waveguide for reduced broadband insertion loss in W-band electron paramagnetic resonance spectroscopy.

The Review of scientific instruments·2011
Same author

Spin-label oximetry at Q- and W-band.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2011
Same author

Coupling of Waveguide and Resonator by Inductive and Capacitive Irises for EPR Spectroscopy.

Applied magnetic resonance·2009
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
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
See all related articles

A new recursive algorithm enables real-time functional magnetic resonance imaging (fMRI) analysis, efficiently calculating correlations for brain activity mapping. This method significantly speeds up neuroimaging processing for functional brain studies.

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Computational Neuroscience

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for understanding brain activity.
  • Real-time analysis of fMRI data presents computational challenges.
  • Efficient algorithms are needed to process complex neuroimaging datasets.

Purpose of the Study:

  • To present a recursive algorithm for efficient fMRI data analysis.
  • To enable real-time processing and visualization of functional neuroimaging experiments.
  • To derive statistical thresholds for reliable identification of brain activity.

Main Methods:

  • Developed a recursive algorithm for calculating correlation coefficients in fMRI time series.
  • Implemented a statistical model for the fMRI signal to derive correlation thresholds.

Related Experiment Videos

  • Utilized a high-speed workstation for rapid image acquisition, reconstruction, and analysis.

    • Main Results:

    • The algorithm requires only 22 operations per voxel per image with minimal storage overhead.
    • Real-time processing of echo planar images was achieved within 500 ms.
    • Demonstrated successful pseudocolor display of active brain regions in a 3 Tesla fMRI experiment.

    Conclusions:

    • The presented recursive algorithm offers a computationally efficient solution for real-time fMRI analysis.
    • This method facilitates rapid identification and visualization of brain activity during functional neuroimaging.
    • The approach is suitable for advanced applications in neuroscience research and clinical settings.