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:

Cognitive Development During Adulthood

Cognitive Development During Adulthood

Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...

You might also read

Related Articles

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

Sort by

Same author

Decreased variability of small-world propensity during non-response tasks in schizophrenia.

Neuroimage. Reports·2026

Same author

Patterns of heart rate variability (HRV) responses to acute skin-breaking procedures in neonates: a systematic review and meta-analysis.

Pain·2026

Same author

Leveraging ubiquitous mobile sensors to track infant expressions and movements.

Infant behavior & development·2026

Same author

Socioeconomic inequity in extreme outcomes within very pre-term and/or very low birthweight infants: evidence from multi-national cohorts.

Frontiers in public health·2026

Same author

Emotion regulation in the two-year-old offspring of pregnant persons in a diet-and-exercise intervention: A randomized controlled trial.

Early human development·2026

Same author

Post COVID-19 condition is associated with altered regional cerebral blood volume as revealed by dynamic susceptibility contrast MRI.

Frontiers in neuroimaging·2026

Same journal

Ocular speech tracking persists in blindness, but its dynamics and oculo-cerebral connectivity depend on visual status.

eNeuro·2026

Same journal

Emergent multidien cycles from partial circadian synchrony.

eNeuro·2026

Same journal

Adolescent social isolation induces persistent impairments in emotional discrimination and helping behavior.

eNeuro·2026

Same journal

Increased Ih Current Is Associated with Reduced Hippocampal CA1 Excitability in a Mouse Model of Multiple Sclerosis.

eNeuro·2026

Same journal

Reduced SuM Activation Accompanies Impaired Social Novelty Recognition in Mouse Models of Neurodevelopmental Disorders.

eNeuro·2026

Same journal

Do Not Forget the Stimulus: A Missing Control in Naturalistic Studies of Neural Entrainment.

eNeuro·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 10, 2026

EEG Mu Rhythm in Typical and Atypical Development

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

Characterizing Population EEG Dynamics throughout Adulthood.

Ali Hashemi¹, Lou J Pino², Graeme Moffat²

¹Department of Psychology, Neuroscience, and Behaviour, McMaster University , Hamilton, Ontario, L8S 4K1, Canada.

|December 14, 2016

Summary

This summary is machine-generated.

This study reveals age-related brain changes using electroencephalography (EEG) in over 6000 individuals. Findings show shifts in brainwave activity across the lifespan, influenced by sex and frequency bands.

Keywords:

Big Data EEG Muse age alpha frequency mindfulness

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Related Experiment Videos

Last Updated: Mar 10, 2026

EEG Mu Rhythm in Typical and Atypical Development

EEG Mu Rhythm in Typical and Atypical Development

Published on: April 9, 2014

Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Area of Science:

Neuroscience
Cognitive Psychology
Human Development

Background:

Electroencephalography (EEG) is crucial for studying neural mechanisms of psychological processes.
Traditional EEG studies are limited by small sample sizes and time constraints.
Large-scale, portable EEG offers new possibilities for developmental brain research.

Purpose of the Study:

To investigate age-related changes in EEG power spectra, peak alpha frequency, and alpha asymmetry.
To examine how these changes vary with sex and across the lifespan.
To leverage a large dataset for robust findings on developmental brain changes.

Main Methods:

Acquired EEG data from 6029 participants aged 18-88 using a portable, wireless Muse headband.
Recorded EEG during a category exemplar task and a meditation exercise.
Analyzed delta, theta, alpha, and beta bands, peak alpha frequency, and alpha asymmetry.

Main Results:

EEG power demonstrated significant age-related changes, varying by sex and frequency band.
An overall shift from lower to higher brainwave frequencies was observed with age, particularly in females.
Peak alpha frequency showed a gradual decrease with age, and alpha asymmetry indicated greater relative right frontal activity.

Conclusions:

The study provides a fine-grained analysis of lifespan brain changes using a large, diverse sample.
Findings replicate and extend previous age- and sex-related EEG observations.
Results offer insights into attentional processes, emotional well-being, and aging.