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Seizures: Classification

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:

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Updated: May 9, 2026

Electromagnetic Source Imaging in Presurgical Evaluation of Children with Drug-Resistant Epilepsy

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Published on: September 20, 2024

Density spectral array for seizure identification in critically ill children.

Alyssa D Pensirikul¹, Lauren A Beslow, Sudha K Kessler

¹Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.

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

|August 6, 2013

Summary

This summary is machine-generated.

Color density spectral array (CDSA) EEG is a potential screening tool for seizure identification in critically ill children. While it shows promise, it does not detect all seizures and can produce false positives.

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Area of Science:

Neuroscience
Medical Imaging
Critical Care Medicine

Background:

Electroencephalography (EEG) is crucial for monitoring critically ill children.
Identifying electrographic seizures in this population is challenging.
Color density spectral array (CDSA) is a visualization technique for EEG data.

Purpose of the Study:

Evaluate the accuracy and reliability of CDSA EEG interpretation for seizure detection in critically ill children.
Identify factors that predict successful seizure identification using CDSA.

Main Methods:

Conventional EEG tracings from 21 critically ill children were analyzed.
EEG segments were converted into 8-channel CDSA displays (84 images total).
Eight encephalographers interpreted CDSA images for seizure identification, with varied information provided.

Main Results:

Seizure prevalence was 43% via conventional EEG.
CDSA interpretation showed moderate interrater reliability.
Specificity was higher when CDSA images were reviewed without prior seizure information (92.3% vs. 78.2%).
Seizure duration of at least 2 minutes predicted accurate identification.

Conclusions:

CDSA EEG may serve as a valuable screening tool for encephalographers in identifying seizures in critically ill children.
CDSA is not a definitive diagnostic tool, as it misses some seizures and generates false positives.
Further refinement of CDSA interpretation protocols may improve its utility.