Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:

You might also read

Related Articles

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

Sort by

Same author

Interrupting the perception-action cycle reshapes serial dependence and sensory processing.

Brain research·2026

Same author

The effect of human ratings reliability on machine learning model performance: a case study in infant pain assessment.

Scientific reports·2026

Same author

Music Ensemble: a large dataset on musicianship, cognition, and personality in musicians and nonmusicians.

Scientific data·2026

Same author

What is next? Predictable visual sequences are encoded with anticipatory biases and reduced neural responses.

iScience·2026

Same author

Divergent Recovery Paths in Musicians' Dystonia.

Tremor and other hyperkinetic movements (New York, N.Y.)·2026

Same author

Large-scale mega-analysis indicates that serial dependence deteriorates perceptual decision-making.

Nature human behaviour·2025

Same journal

Efficacy of Non-Invasive Brain Stimulation in Alzheimer's Disease: An Umbrella Review of Meta-Analyses.

Neuroscience and biobehavioral reviews·2026

Same journal

Rhythms of interaction - the timescales of social coordination and why they matter.

Neuroscience and biobehavioral reviews·2026

Same journal

Neural Bases of Memory Development: Insights from Magnetic Resonance Imaging.

Neuroscience and biobehavioral reviews·2026

Same journal

Regional Heterogeneity of Brain Insulin Resistance: From Molecular Pathways to Neural Circuits.

Neuroscience and biobehavioral reviews·2026

Same journal

Peripheral nervous system involvement in Parkinson's disease: Peripheral neuropathy, neuromuscular junction dysfunction, and clinical implications.

Neuroscience and biobehavioral reviews·2026

Same journal

Violence on the self: Exploring the intersection of trauma and identity among sexual and gender minorities from a neurobiological and developmental perspective to advance our understanding of PTSD, moral injury, and dissociation symptoms.

Neuroscience and biobehavioral reviews·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 15, 2025

EEG Mu Rhythm in Typical and Atypical Development

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

EEG brain waves and alpha rhythms: Past, current and future direction.

David Pascucci¹, Maëlan Q Menétrey¹, Edoardo Passarotto²

¹Psychophysics and Neural Dynamics Lab, Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland; The Sense Innovation and Research Center, Lausanne, Switzerland.

Neuroscience and Biobehavioral Reviews

|July 16, 2025

Summary

This summary is machine-generated.

This review examines progress in electroencephalography (EEG) research, highlighting new theories, methods, and challenges. It provides a roadmap for future EEG studies based on a recent symposium discussion.

Keywords:

Alpha oscillations Brain rhythms Connectomics EEG Travelling waves

More Related Videos

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Related Experiment Videos

Last Updated: Sep 15, 2025

EEG Mu Rhythm in Typical and Atypical Development

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Area of Science:

Neuroscience
Biomedical Engineering

Background:

Electroencephalography (EEG) has been used for nearly a century.
Significant advancements have been made in EEG research over the decades.

Purpose of the Study:

To assess the progress in EEG research.
To identify challenges, novel theories, and methods in the field.
To provide a roadmap for future EEG research.

Main Methods:

The study summarizes discussions from the symposium "Oscillatory Brain Waves: Mechanisms, Functions, and Clinical Perspectives".

Main Results:

Key issues and emerging trends in EEG research were identified by early-career researchers.
Novel theories and methodologies in EEG were discussed.

Conclusions:

The field of EEG research is dynamic, with ongoing challenges and exciting new directions.
Future research should focus on integrating novel approaches and addressing identified challenges.