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

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...

You might also read

Related Articles

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

Sort by
Same author

Microbiome-behavior coupling shapes infant adaptation to early maternal unpredictability.

Frontiers in microbiology·2026
Same author

Molecular neuroimaging of Parkinson's disease: association of motor and non-motor symptoms with synaptic density, dopaminergic and serotonergic systems.

Neuroimage. Reports·2026
Same author

Bullying victimization and brain development: a longitudinal structural magnetic resonance imaging study from adolescence to early adulthood.

Translational psychiatry·2026
Same author

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness.

bioRxiv : the preprint server for biology·2026
Same author

Brain Structure of South African Children Born to Mothers on Dolutegravir Versus Efavirenz-Based Antiretroviral Therapy.

Journal of the Pediatric Infectious Diseases Society·2026
Same author

Transcriptome-informed brain cartography of polygenic risk and association with brain structure in major psychiatric disorders.

Molecular psychiatry·2026

Related Experiment Video

Updated: Jul 15, 2026

Optogenetic Functional MRI
06:06

Optogenetic Functional MRI

Published on: April 19, 2016

A method for removing global effects in small-animal functional MRI.

Andrew S Lowe1, Gareth J Barker, John S Beech

  • 1Experimental Neuroimaging Group, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK. andrew.lowe@dpag.ox.ac.uk

NMR in Biomedicine
|April 17, 2007
PubMed
Summary

A new functional MRI method uses muscle signal to accurately estimate global effects, improving statistical power by reducing variance. This technique offers a more reliable approach to analyzing brain activity during experiments.

More Related Videos

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI
10:50

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI

Published on: February 19, 2014

Functional Neuroimaging Using Ultrasonic Blood-brain Barrier Disruption and Manganese-enhanced MRI
08:36

Functional Neuroimaging Using Ultrasonic Blood-brain Barrier Disruption and Manganese-enhanced MRI

Published on: July 12, 2012

Related Experiment Videos

Last Updated: Jul 15, 2026

Optogenetic Functional MRI
06:06

Optogenetic Functional MRI

Published on: April 19, 2016

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI
10:50

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI

Published on: February 19, 2014

Functional Neuroimaging Using Ultrasonic Blood-brain Barrier Disruption and Manganese-enhanced MRI
08:36

Functional Neuroimaging Using Ultrasonic Blood-brain Barrier Disruption and Manganese-enhanced MRI

Published on: July 12, 2012

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Physiology

Background:

  • Global effects in functional MRI (fMRI) are signal changes from scanner and subject factors, increasing variance and reducing experimental sensitivity.
  • Conventional methods using intracerebral signals for global effect estimation can be biased by localized neural activity.
  • Inaccurate global effect estimation can lead to erroneous conclusions about brain function.

Purpose of the Study:

  • To propose a novel, computationally simple method for estimating global effects in fMRI.
  • To assess the utility of using muscle tissue signal as a proxy for global effects.
  • To improve the statistical power and reliability of fMRI studies.

Main Methods:

  • A new method was developed to estimate global fMRI effects using signal intensity from muscle tissue acquired concurrently.
  • This muscle-derived global signal was used as a covariate of no-interest in statistical analyses.
  • The proposed method was evaluated in a somatosensory stimulation paradigm.

Main Results:

  • Quantitative improvements in sensitivity were observed when using global muscle signal intensities.
  • The muscle-based method is independent of local neurogenic signal changes.
  • This approach may provide a more accurate representation of true global effects under specific conditions.

Conclusions:

  • Using muscle tissue signal offers a robust and computationally simple alternative for estimating global effects in fMRI.
  • This method enhances statistical power by reducing residual error and mitigating bias from localized signals.
  • The strategy shows promise for fMRI applications, particularly in small-animal studies with systemic physiological changes.