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 Video

Updated: Apr 28, 2026

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.4K

Functional quantitative susceptibility mapping (fQSM).

Dávid Z Balla1, Rosa M Sanchez-Panchuelo2, Samuel J Wharton2

  • 1High-Field MR Centre, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany; Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom.

Neuroimage
|June 20, 2014
PubMed
Summary

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

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026
Same author

A Modified Balanced Steady State Free Precession Sequence for Overhauser Magnetic Resonance Imaging.

Magnetic resonance in medicine·2026
Same author

Dysfunction of the episodic memory network in the Alzheimer's disease cascade.

Nature communications·2026
Same author

Coaxial Dipole Array With Switching Transmit Sensitivities for Ultrahigh Field MRI.

Magnetic resonance in medicine·2026
Same author

Patterns and Trajectories of Behavioral and Neuropsychiatric Symptoms in Frontotemporal Dementia and Primary Progressive Aphasia.

Neurology·2026
Same author

Field Strength-Dependent White Matter R<sub>1</sub> and R<sub>2</sub> Anisotropy of Phase-Cycled Balanced Steady-State Free Precession Relaxometry.

Magnetic resonance in medicine·2026
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles
This summary is machine-generated.

Functional quantitative susceptibility mapping (fQSM) shows potential for mapping blood oxygenation level dependent (BOLD) changes using phase data, offering a new quantitative approach compared to standard fMRI magnitude analysis.

Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging
  • Biophysics

Background:

  • Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) typically analyzes the magnitude component of complex time-series data.
  • Quantitative susceptibility mapping (QSM) offers an alternative approach by analyzing magnetic field perturbations.

Purpose of the Study:

  • To investigate the potential of functional QSM (fQSM) by analyzing phase data, in comparison to standard magnitude BOLD fMRI.
  • To evaluate different fQSM pipelines and their performance relative to magnitude-based fMRI.

Main Methods:

  • Acquisition of high spatial resolution (1mm isotropic) gradient-echo EPI data at 7 T with zoomed multi-slice acquisition.
  • Reconstruction and analysis of statistical parametric maps (SPMs) from magnitude, phase, and QSM time-series data.
Keywords:
Functional QSMMR phase imagingQuantitative BOLDSpecific brain activationSusceptibility mappingfMRI

More Related Videos

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

18.6K

Related Experiment Videos

Last Updated: Apr 28, 2026

A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.4K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

18.6K
  • Evaluation of fQSM pipelines based on the overlap of significant voxels with magnitude SPMs and the impact of spatio-temporal filtering.

    • Main Results:

    • The sensitivity and spatial reliability of fQSM were found to be dependent on the significance threshold and spatio-temporal filtering efficiency.
    • Performance varied slightly based on whether multi-orientation (MO) or single-orientation (SO) fQSM was performed and the QSM calculation method used.
    • Several fQSM pipelines were assessed for their ability to identify significant voxels common to both QSM and magnitude SPMs.

    Conclusions:

    • fQSM demonstrates potential as a quantitative method for mapping BOLD changes in fMRI.
    • Technical challenges and critical issues associated with fQSM require further investigation and discussion.