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

You might also read

Related Articles

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

Sort by
Same author

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

Journal of biomedical informatics·2026
Same author

Neurophysiological characterization and targeted treatment of rhythmic cortical myoclonus in an SCN8A gain-of-function variant.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Video-EEG polygraphy in the clinical characterization of hyperkinetic movement disorders: a tertiary referral cohort.

Frontiers in neurology·2026
Same author

Brain-heart interactions in late-onset major depressive disorder revealed by multimodal HRV-driven fMRI.

Communications biology·2026
Same author

Interictal epileptiform discharges propagation revealed by MEG/foramen ovale-EEG co-recording in patients with temporal lobe epilepsy candidate to neurosurgery.

NeuroImage·2026
Same author

Modulation of autonomic responses to cognitive tasks under acute mental stress.

Scientific reports·2026

Related Experiment Video

Updated: May 14, 2026

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
07:34

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits

Published on: November 23, 2019

EEG-informed fMRI analysis during a hand grip task.

Roberta Sclocco1, Maria G Tana, Elisa Visani

  • 1Department of Bioengineering, Politecnico di Milano, Milan, Italy. roberta.sclocco@mail.polimi.it

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for analyzing brain activity using electroencephalography (EEG) and functional MRI (fMRI). The novel approach improves the understanding of how different brain rhythms measured by EEG relate to blood-oxygen-level-dependent (BOLD) signals in fMRI.

More Related Videos

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Published on: September 1, 2023

Related Experiment Videos

Last Updated: May 14, 2026

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
07:34

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits

Published on: November 23, 2019

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Published on: September 1, 2023

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Investigating the relationship between electrophysiological (EEG) and hemodynamic (BOLD fMRI) brain activity measurements is of growing interest.
  • BOLD signal changes correlate with spectral profiles of neuronal activity, not just absolute power.
  • Different EEG rhythms independently relate to BOLD signal changes, necessitating distinction in analysis.

Purpose of the Study:

  • To propose a novel method for EEG-informed fMRI analysis.
  • To develop EEG regressors that account for spectral profile changes and distinct EEG rhythms.
  • To improve the modeling of the relationship between EEG and BOLD signals.

Main Methods:

  • Developed a novel method for EEG-informed fMRI analysis.
  • EEG regressors were designed to incorporate spectral profile changes and rhythm distinction.
  • Applied the method to EEG-fMRI data during a bimanual motor task in healthy subjects.
  • Compared results with a standard method using a single EEG frequency regressor.

Main Results:

  • The proposed method demonstrated superior correlation between BOLD signal and EEG rhythm modulations.
  • Identified task-related, well-localized activated brain volumes more effectively.
  • The novel approach provided a more nuanced understanding of EEG-BOLD relationships.

Conclusions:

  • The proposed EEG-informed fMRI analysis method enhances the accuracy of brain activity correlation.
  • Distinguishing between different EEG rhythms is crucial for accurate BOLD signal modeling.
  • This method offers improved localization of task-related brain activity.