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

Automatic EEG spike detection: what should the computer imitate?

W R Webber1, B Litt, R P Lesser

  • 1Johns Hopkins Epilepsy Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205.

Electroencephalography and Clinical Neurophysiology
|December 1, 1993
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

Duration of EEG suppression does not predict recovery time or degree of cognitive impairment after general anaesthesia in human volunteers.

British journal of anaesthesia·2019
Same author

Vertebrobasilar dolichoectasia associated with Marfan syndrome.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2013
Same author

Selective interference with the representation of size in the human by direct cortical electrical stimulation.

Journal of cognitive neuroscience·2013
Same author

Localizing arithmetic processes in the brain: evidence from a transient deficit during cortical stimulation.

Journal of cognitive neuroscience·2013
Same author

Evolving a Bayesian Classifier for ECG-based Age Classification in Medical Applications.

Applied soft computing·2011
Same author

Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement.

Journal of neural engineering·2011
Same journal

Coming to terms with brain waves.

Electroencephalography and clinical neurophysiology·2014
Same journal

Habituation of lower leg stretch responses in Parkinson's disease.

Electroencephalography and clinical neurophysiology·2000
Same journal

Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

Electroencephalography and clinical neurophysiology·2000
Same journal

Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

Electroencephalography and clinical neurophysiology·2000
Same journal

Task-related coherence and task-related spectral power changes during sequential finger movements.

Electroencephalography and clinical neurophysiology·2000
Same journal

Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

Electroencephalography and clinical neurophysiology·2000
See all related articles

Electroencephalographers (EEGers) show consistent patterns when reading EEGs, despite individual differences in marking epileptiform discharges (EDs). Computerized detectors can be adapted to match human reader styles for improved clinical impression formulation.

Area of Science:

  • Neurology
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Electroencephalography (EEG) is crucial for diagnosing neurological conditions.
  • Inter-reader variability in interpreting EEG findings, particularly epileptiform discharges (EDs), can impact clinical decisions.
  • Developing objective tools to aid EEG interpretation is an ongoing challenge.

Purpose of the Study:

  • To investigate the reading process and clinical impression formation by electroencephalographers (EEGers).
  • To compare the performance of human readers with a computerized epileptiform discharge (ED) detector.
  • To explore the potential for developing adaptable computerized tools for EEG analysis.

Main Methods:

  • Eight EEGers and a rule-based computerized detector marked EDs in 12 EEG test records.

Related Experiment Videos

  • Analysis of agreement rates for marked events and clinical features among readers.
  • Comparison of sensitivity and selectivity between human readers and the computerized detector.

    • Main Results:

    • Only 18% of marked EDs were agreed upon by all readers; 38% were marked by only one reader.
    • High reader agreement was observed on basic clinical features like presence of EDs, source location ranking, and record ranking by ED count.
    • The computerized ED detector showed lower sensitivity and selectivity than human readers, but these could be adjusted.
    • Reader performance patterns were consistent and independent of experience levels.

    Conclusions:

    • EEGers utilize reproducible, quantitatively distinct reading styles that lead to qualitatively similar clinical impressions.
    • Epileptiform discharges (EDs) exist on a continuum, better suited for description and rank ordering than absolute quantification.
    • Future computerized ED detectors should be adaptable to individual reader styles to enhance clinical impression formulation.