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

Brain Imaging01:14

Brain Imaging

644
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
644

You might also read

Related Articles

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

Sort by
Same author

A descending posterior insular pathway drives sensory hypersensitivity in neuropathic pain.

Brain : a journal of neurology·2026
Same author

Neurofeedback of somatosensory alpha oscillations modulates sensory and affective pain through dissociable neurocognitive pathways.

Pain·2026
Same author

Use of the "Ru-<sup>1</sup>O<sub>2</sub>-Hydrazide" System Catalyzed by Metallic Ruthenium Complexes to Decipher the Interaction Between Microbes and Host Cancer Cells.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

The effectiveness of a foot-care education program based on multi-theory model in diabetic patients with risk of foot ulceration: A randomized controlled trial protocol.

PloS one·2026
Same author

When fewer children mean shorter lives: Fertility policy and elderly well-being in China.

Journal of health economics·2026
Same author

The impact of multiple factors on medical students' test anxiety: the mediating role of psychological resilience.

Frontiers in psychology·2026
Same journal

Individualized mapping of functional brain networks in older adulthood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotypes.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

The language network responds robustly to sentences across tasks.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Neighborhood disadvantage and brain myelination: Insights from infancy to childhood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Meditation and neurofeedback: A systematic scoping review, synthesis, and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

1.2K

Enhancing visual brain-computer interface through V1-targeted RTMS by modulating visual attention.

Xinyi Zhang1,2,3, Shengpei Wang1, Ying Gao1

  • 1Laboratory of Brain Atlas and Brain-Inspired Intelligence, State Key Laboratory of Brain Cognition and Brain-Inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Imaging Neuroscience (Cambridge, Mass.)
|November 20, 2025
PubMed
Summary
This summary is machine-generated.

Repetitive transcranial magnetic stimulation (rTMS) can improve brain-computer interface (BCI) performance by enhancing visual attention and neural signal quality. This neuromodulation technique boosts BCI command discriminability, especially in higher frequency bands.

Keywords:
BCIEEGSSVEPrTMSvisual cortex

More Related Videos

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
08:45

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

9.6K
Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
09:36

Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation

Published on: May 12, 2014

14.2K

Related Experiment Videos

Last Updated: Jan 10, 2026

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

1.2K
A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets
08:45

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

9.6K
Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
09:36

Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation

Published on: May 12, 2014

14.2K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Brain-computer interfaces (BCIs) offer direct control via brain activity but are limited by low signal-to-noise ratio (SNR).
  • Neuromodulation techniques are crucial for overcoming SNR limitations and enhancing BCI decoding performance.

Purpose of the Study:

  • To investigate if 5 Hz repetitive transcranial magnetic stimulation (rTMS) targeting the primary visual cortex (V1) improves SSVEP-based BCI performance.
  • To assess the impact of rTMS on neural signal SNR and visual network dynamics.

Main Methods:

  • Twenty-four healthy subjects received real or sham MRI-guided 5 Hz rTMS targeting V1.
  • Electroencephalograms (EEGs) were recorded during steady-state visually evoked potential (SSVEP) tasks and resting-state.
  • SSVEP tasks were performed across four frequency bands (LF, MF, HF, SHF).

Main Results:

  • BCI command discriminability significantly improved in the middle (MF) and high frequency (HF) bands with real rTMS.
  • Improved SNR was attributed to background activity suppression.
  • rTMS enhanced visual attention, indicated by increased microstate B occurrence during SSVEP tasks.

Conclusions:

  • 5 Hz rTMS is a potential neuromodulatory tool for optimizing BCI performance.
  • Targeting V1 with rTMS enhances visual attention and neural signal quality, leading to better BCI decoding.
  • This approach shows promise for advancing SSVEP-based BCI systems.