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 Waves01:23

Brain Waves

4.5K
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:
4.5K

You might also read

Related Articles

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

Sort by
Same author

NeuroImage: Reports: A new member of the NeuroImage family embracing negative findings, replication studies and registered reports.

Neuroimage. Reports·2025
Same author

Exploring EEG resting state differences in autism: sparse findings from a large cohort.

Molecular autism·2025
Same author

Spatiotemporal resonance in mouse primary visual cortex.

Current biology : CB·2024
Same author

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation.

Cortex; a journal devoted to the study of the nervous system and behavior·2024
Same author

One hundred years of EEG for brain and behaviour research.

Nature human behaviour·2024
Same author

Serotonin transporter knockout in rats reduces beta- and gamma-band functional connectivity between the orbitofrontal cortex and amygdala during auditory discrimination.

Cerebral cortex (New York, N.Y. : 1991)·2024
Same journal

A large brain adds new types of neurons: Molecular and functional signatures of spindle neurons in the human neocortex.

Trends in neurosciences·2026
Same journal

Exercise as a regulator of glymphatic function.

Trends in neurosciences·2026
Same journal

The neural basis of laughter.

Trends in neurosciences·2026
Same journal

Enteric neuroimmune interactions in health and disease.

Trends in neurosciences·2026
Same journal

Atomic insights into the physiological and functional diversity of NMDA receptors.

Trends in neurosciences·2026
Same journal

Cognitive functions of the GPe.

Trends in neurosciences·2026
See all related articles

Related Experiment Video

Updated: Mar 6, 2026

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

27.0K

Where Does EEG Come From and What Does It Mean?

Michael X Cohen1

  • 1Donders Center for Neuroscience, Radboud University and Radboud University Medical Center, Nijmegen, The Netherlands.

Trends in Neurosciences
|March 19, 2017
PubMed
Summary
This summary is machine-generated.

We know surprisingly little about the origins and meaning of electroencephalography (EEG) signals. Modern neuroscience tools may finally help us understand brain function and neural oscillations measured by EEG.

Keywords:
EEGcomputationelectrophysiologyneural microcircuitoscillations

More Related Videos

Author Spotlight: Investigating Vocal Information Representation in Small Primates and Its Alteration by Psychiatric Disorders Using Noninvasive EEG
07:52

Author Spotlight: Investigating Vocal Information Representation in Small Primates and Its Alteration by Psychiatric Disorders Using Noninvasive EEG

Published on: July 26, 2024

1.4K
Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

3.7K

Related Experiment Videos

Last Updated: Mar 6, 2026

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

27.0K
Author Spotlight: Investigating Vocal Information Representation in Small Primates and Its Alteration by Psychiatric Disorders Using Noninvasive EEG
07:52

Author Spotlight: Investigating Vocal Information Representation in Small Primates and Its Alteration by Psychiatric Disorders Using Noninvasive EEG

Published on: July 26, 2024

1.4K
Recording Brain Activity with Ear-Electroencephalography
09:58

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

3.7K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • Electroencephalography (EEG) is a key tool for studying brain function, cognition, and dysfunction.
  • Despite its widespread use, the precise origins and interpretations of EEG signals remain poorly understood.
  • Understanding EEG signal generation is crucial for advancing neuroscience.

Purpose of the Study:

  • To highlight the significant knowledge gaps regarding the source and meaning of EEG signals.
  • To emphasize the importance of addressing these fundamental questions in neuroscience.
  • To propose that advanced neuroscience technologies can provide answers.

Main Methods:

  • Review of current understanding of EEG signal origins.
  • Discussion of the role of neural oscillations as a focus for investigation.
  • Exploration of how modern neuroimaging and manipulation techniques can be applied.

Main Results:

  • The paper argues that current knowledge about EEG signal origins is limited.
  • Neural oscillations are identified as a promising avenue for research due to their multi-scale presence and functional relevance.
  • The potential of high spatiotemporal resolution neuroscience technologies is highlighted.

Conclusions:

  • Significant gaps exist in our understanding of EEG signal generation and meaning.
  • Further research utilizing advanced neuroscientific methods is needed to elucidate EEG signal origins.
  • Investigating neural oscillations offers a viable path towards understanding EEG in relation to cognition and neural computation.