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 Experiment Videos

Quantitative EEG analysis in clinical settings

M R Nuwer1

  • 1Department of Neurology, UCLA School of Medicine, USA.

Brain Topography
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2012 version.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2013
Same author

Evidence-based guideline update: intraoperative spinal monitoring with somatosensory and transcranial electrical motor evoked potentials: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology and the American Clinical Neurophysiology Society.

Neurology·2012
Same author

The US health care system: Part 1: Our current system.

Neurology·2008
Same author

Invited article: the US health care system: part 2: proposals for improvement and comparison to other systems.

Neurology·2008
Same author

Continuous ICU EEG monitoring.

Supplements to Clinical neurophysiology·2003
Same author

Acute seizures after intracerebral hemorrhage: a factor in progressive midline shift and outcome.

Neurology·2003
Same journal

Diffusion-Informed Joint Segmentation Enhances Detection of Thalamic Atrophy in Parkinson's Disease.

Brain topography·2026
Same journal

Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing Pipeline.

Brain topography·2026
Same journal

Electrocortical Indices of Default Mode Network-Related Activity in ADHD and Modulation Through Mindfulness-Based Cognitive Therapy.

Brain topography·2026
Same journal

Electroencephalogram for the Diagnosis of Depression: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.

Brain topography·2026
Same journal

Mapping Whole-Brain Nonlinear Structure-Function Dynamics in Aging via Neural Granger Causality.

Brain topography·2026
Same journal

Association Between Spatiotemporal Properties of Global Brain Activity and Childhood Emotional and Behavioral Problems: Evidence from Microstate C.

Brain topography·2026
See all related articles

Digital quantitative electroencephalography (qEEG) offers advanced analysis for EEG data. While current applications show promise in monitoring and epilepsy, further research is needed to define their clinical roles.

Area of Science:

  • Neuroscience
  • Medical Technology

Background:

  • Quantitative EEG (qEEG) techniques are increasingly accessible.
  • The future of EEG is digital, with utility programs aiding storage and viewing.

Purpose of the Study:

  • To review the current state and potential clinical applications of quantitative EEG techniques.
  • To identify areas where qEEG shows promise and requires further investigation.

Main Methods:

  • Review of existing quantitative EEG techniques including frequency analysis, topographic mapping, and discriminant functions.
  • Discussion of potential applications in monitoring and analysis of epileptic spikes.

Main Results:

  • Digital EEG utilities are available for data storage and viewing.

Related Experiment Videos

  • Frequency analysis, topographic mapping, and discriminant functions have limited current clinical utility.
  • EEG monitoring and epileptic spike analysis show some promise but require further study.
  • Conclusions:

    • Quantitative EEG techniques are advancing, with a trend towards digital data.
    • Further research is essential to establish the definitive clinical roles for qEEG applications, particularly in monitoring and epilepsy management.