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

Carbapenem-Resistant <i>Klebsiella pneumoniae</i>: Carbapenemase Production, Antibiotic Resistance and Treatment Options, in an Infectious Diseases Hospital from Romania.

Antibiotics (Basel, Switzerland)·2026

Same author

Accuracy of the rapid-response electroencephalography's Automated Seizure Burden Estimator: A follow-up validation study of version 8 (AccuRASE II).

Epilepsia·2026

Same author

Cardiopulmonary transit time measured on dynamic rubidium cardiac PET/CT is a predictor for pulmonary hypertension.

EJNMMI research·2026

Same author

New-onset refractory status epilepticus/febrile infection-related epilepsy syndrome centers of excellence: A framework for coordinated care, research, and improved outcomes.

Epilepsia·2026

Same author

Autoimmune central nervous system testing at an academic medical center: the challenges of improving test utilization.

American journal of clinical pathology·2026

Same author

Insight into Haploinsufficiency of the ERBB4 Gene: Expanding the Spectrum of Associated Phenotypes.

Journal of autism and developmental disorders·2026

Search research articles

Related Experiment Video

Updated: Oct 1, 2025

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Published on: September 6, 2017

Developing a Standardized Approach to Grading the Level of Brain Dysfunction on EEG.

Monica B Dhakar^1,2, Zubeda B Sheikh^2,3, Masoom Desai⁴

¹Department of Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, U.S.A.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society

|March 3, 2022

Summary

Electroencephalogram (EEG) interpretation shows significant variability among experts, hindering its use in neuromonitoring. Standardized grading scales are needed to improve consistency in assessing cerebral dysfunction via EEG.

More Related Videos

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Related Experiment Videos

Last Updated: Oct 1, 2025

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Published on: September 6, 2017

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Area of Science:

Neurology
Neurophysiology

Background:

Electroencephalogram (EEG) is crucial for assessing brain function.
Variability in EEG interpretation poses challenges for clinical and research applications.

Purpose of the Study:

To evaluate the consistency of EEG background activity interpretation.
To assess grading of cerebral dysfunction based on EEG findings.
To identify key EEG features influencing interpretation.

Main Methods:

A web-based survey was sent to electroencephalographers in the Critical Care EEG Monitoring Research Consortium.
Respondents graded 40 EEG segments and answered questions on interpretation practices.
Interrater agreement was analyzed using Fleiss' Kappa statistic.

Main Results:

Overall interrater agreement for EEG interpretation was fair (k = 0.35).
Neither Critical Care EEG Monitoring Research Consortium nomenclature nor EEG board certification improved agreement.
Predominant awake frequencies and posterior dominant rhythm were deemed most important for grading dysfunction.

Conclusions:

Lack of interrater agreement among experienced electroencephalographers is a barrier to EEG's use as a neuromonitoring tool.
There is consensus on the most important EEG features for grading cerebral dysfunction.
A proposed standardized approach aims to improve EEG interpretation consistency.