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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.5K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
10.5K

You might also read

Related Articles

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

Sort by
Same author

Adaptive Gaussian graph-spectral filtering for scale-specific connectivity inference.

NeuroImage·2026
Same author

Transcranial acoustoelectric imaging (tABI) of seizure activity in human head model with neuronavigation.

Journal of neural engineering·2026
Same author

Collaborative Reconstruction of PROPELLER-EPI Data Using POCSMUSE (CORPUSE) for High-Fidelity Diffusion MRI.

Magnetic resonance in medicine·2026
Same author

Plasma inflammatory markers and brain white matter microstructure in late middle-aged and older adults.

medRxiv : the preprint server for health sciences·2026
Same author

Reduced cortical brain perfusion following COVID-19 infection: impact of COVID-19 severity and relation to memory performance.

Frontiers in human neuroscience·2026
Same author

Analysis of Quantitative Susceptibility Mapping Data for Multi-Site and Multi-Modal Brain Imaging Studies: For Measuring Brain Iron and Its Changes with Age.

Gerontology·2026

Related Experiment Video

Updated: Apr 19, 2026

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

10.2K

Interleaved EPI based fMRI improved by multiplexed sensitivity encoding (MUSE) and simultaneous multi-band imaging.

Hing-Chiu Chang1, Pooja Gaur2, Ying-hui Chou3

  • 1Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States of America.

Plos One
|December 31, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to enhance functional magnetic resonance imaging (fMRI) by improving spatial resolution and reducing artifacts. The new technique boosts blood-oxygen-level-dependent (BOLD) signal detectability and scan throughput for high-resolution brain imaging.

More Related Videos

Simultaneous fMRI and Electrophysiology in the Rodent Brain
08:22

Simultaneous fMRI and Electrophysiology in the Rodent Brain

Published on: August 19, 2010

14.1K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.5K

Related Experiment Videos

Last Updated: Apr 19, 2026

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

10.2K
Simultaneous fMRI and Electrophysiology in the Rodent Brain
08:22

Simultaneous fMRI and Electrophysiology in the Rodent Brain

Published on: August 19, 2010

14.1K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

33.5K

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Magnetic Resonance Imaging

Background:

  • Functional magnetic resonance imaging (fMRI) commonly uses single-shot echo-planar imaging (EPI) for its temporal resolution.
  • Improving spatial resolution in fMRI can reveal previously unidentified neuronal networks.
  • Conventional single-shot EPI faces challenges in enhancing spatial resolution, while multi-shot interleaved EPI introduces limitations in throughput and aliasing artifacts.

Purpose of the Study:

  • To develop and validate a method that overcomes the limitations of interleaved EPI-based fMRI.
  • To enhance spatial resolution, reduce artifacts, and improve imaging throughput in fMRI.
  • To increase blood-oxygen-level-dependent (BOLD) signal detectability for high-fidelity brain activity measurement.

Main Methods:

  • Integration of the multiplexed sensitivity-encoding (MUSE) algorithm to suppress in-plane aliasing artifacts.
  • Implementation of a simultaneous multi-band interleaved EPI pulse sequence with controlled aliasing to increase imaging throughput.
  • Generalization of the MUSE algorithm to handle multi-band interleaved EPI data, addressing both in-plane and through-plane aliasing.

Main Results:

  • Significant improvement in BOLD signal detectability for interleaved EPI-based fMRI.
  • Substantial increase in scan throughput for fMRI acquisitions.
  • Demonstrated effectiveness of the developed methods using human fMRI data acquired on 3 Tesla systems.

Conclusions:

  • The developed method effectively addresses technical limitations of interleaved EPI-based fMRI.
  • The integrated approach significantly enhances BOLD signal detectability and scan throughput.
  • This technique is expected to benefit future fMRI studies demanding high spatial resolution and fidelity.