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

Forced Oscillations01:06

Forced Oscillations

When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...

You might also read

Related Articles

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

Sort by
Same author

Rhythms and Background (RnB): The Spectroscopy of Sleep Recordings.

eNeuro·2026
Same author

Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.

Journal of computational neuroscience·2019
Same author

Phase shift invariant imaging of coherent sources (PSIICOS) from MEG data.

NeuroImage·2018
Same author

Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.

NeuroImage·2017
Same author

Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data.

NeuroImage·2016
Same author

Procalcitonin: a diagnostic and prognostic biomarker of sepsis in burned patients.

Annals of burns and fire disasters·2016
Same journal

Deletion of Fbxo25 causes excessive repetitive behavior, impaired recognition memory, reduced dendritic complexity, and aberrant protein expression in mice.

Progress in neurobiology·2026
Same journal

Neuropsychiatric Disease Mechanisms and Interventions. from 22q11.2 Deletion Syndrome Experimental Studies.

Progress in neurobiology·2026
Same journal

REM sleep as a dummy-model of the world: A theoretical framework.

Progress in neurobiology·2026
Same journal

CA3 transiently modulates spatial representation in CA1.

Progress in neurobiology·2026
Same journal

Love, death, and oxytocin: In memory of Larry Young.

Progress in neurobiology·2026
Same journal

Assessing peripheral oxytocin and cortisol levels and epigenetic variations of oxytocin receptor and glucocorticoid receptor genes in school-aged preterm-born children.

Progress in neurobiology·2026
See all related articles

Related Experiment Video

Updated: May 24, 2026

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Recording and analysis techniques for high-frequency oscillations.

G A Worrell1, K Jerbi, K Kobayashi

  • 1Mayo Systems Electrophysiology Laboratory, Divisions of Epilepsy and Neurophysiology, Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Progress in Neurobiology
|March 17, 2012
PubMed
Summary
This summary is machine-generated.

New technologies allow recording high-frequency oscillations (HFO) in epilepsy. Developing data mining tools is crucial for analyzing this complex neuronal data and understanding brain activity.

More Related Videos

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Related Experiment Videos

Last Updated: May 24, 2026

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Biology

Background:

  • Advanced recording technologies enable high temporal and spatial resolution measurement of high-frequency oscillations (HFO) in human partial epilepsy.
  • The vast amount of multichannel data generated poses challenges for extracting meaningful insights.

Purpose of the Study:

  • To bridge the gap between advanced HFO recording techniques and data analysis.
  • To present updated methods for HFO measurement and quantitative assessment.
  • To explore the application of these methods and potential future research directions.

Main Methods:

  • Focus on state-of-the-art recording techniques for HFO measurement.
  • Emphasis on novel data mining and analysis tools for quantitative assessment.
  • Discussion of how these methods can be applied to neuronal signals.

Main Results:

  • High-frequency oscillations (HFO) can be reliably recorded in human partial epilepsy.
  • New data mining techniques are essential for analyzing complex, high-resolution neuronal data.
  • Quantitative assessment of HFO provides meaningful information about neuronal signals.

Conclusions:

  • Integrating advanced recording technologies with sophisticated data mining is key to advancing epilepsy research.
  • Further development of analysis tools will enhance the understanding of HFO in neurological disorders.
  • This work highlights productive future directions for HFO research in neuroscience.