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

The lifetime of sequential memory traces.

Memory & cognition·2026
Same author

Non-specific increase in alpha power during a neurofeedback session targeting its downregulation.

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

Spontaneous Modulation of Alpha Power During a Neurofeedback Session Without Instructions.

Psychophysiology·2026
Same author

Alpha power increases spontaneously during a neurofeedback session.

Communications psychology·2026
Same author

Can vibratory bilateral stimulation reduce the emotionality and vividness of negative autobiographical memories?

Journal of behavior therapy and experimental psychiatry·2026
Same author

Association: one term, five concepts.

Neuroscience and biobehavioral reviews·2025

Related Experiment Video

Updated: Jan 16, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K

Spontaneous Modulation of Standard EEG Frequency Bands During a Neurofeedback-Like Task.

Jacob Maaz1,2,3, Véronique Paban1, Laurent Waroquier4

  • 1Aix-Marseille Université, CNRS, CRPN, Marseille, France.

Psychophysiology
|October 4, 2025
PubMed
Summary

Electroencephalographic neurofeedback (EEG-NF) may cause brainwave changes due to the task environment, not just self-modulation. Careful protocol design is crucial to isolate true EEG-NF effects.

Keywords:
EEGneurofeedbackneuromodulationspectral power

More Related Videos

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
08:50

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

15.0K
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.5K

Related Experiment Videos

Last Updated: Jan 16, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.9K
Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation
08:50

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

15.0K
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.5K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Electroencephalographic neurofeedback (EEG-NF) is used for various disorders by providing real-time EEG feedback.
  • The precise mechanisms driving EEG changes during EEG-NF are not fully understood.
  • Spontaneous EEG variations and environmental influences may confound results.

Purpose of the Study:

  • To investigate spontaneous EEG changes during EEG-NF.
  • To determine if visual stimuli influence EEG frequency bands targeted by EEG-NF.
  • To assess the impact of stimulus modification frequency on EEG patterns.

Main Methods:

  • Healthy adults observed a visual stimulus that was either constant or modified in size at 1, 5, or 10 Hz.
  • EEG data was recorded and analyzed for changes in specific frequency bands (e.g., alpha, theta).
  • Control conditions were used to differentiate task-specific effects from spontaneous changes.

Main Results:

  • A spontaneous increase in alpha power was observed over time.
  • Theta power increased when participants viewed a continuously modified visual stimulus compared to a static one.
  • No significant changes in EEG frequency bands were found related to the frequency of visual stimulus modification.

Conclusions:

  • EEG changes during EEG-NF can be influenced by environmental factors, not solely by self-modulation.
  • Non-specific effects of the task environment must be considered in EEG-NF protocol design.
  • Further research is needed to clarify EEG modulation mechanisms and refine clinical protocols.