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Updated: May 29, 2026

Behavioral Characterization of Pentylenetetrazole-induced Seizures: Moving Beyond the Racine Scale
Published on: July 8, 2025
Characterization of early partial seizure onset: frequency, complexity and entropy
Christophe C Jouny1, Gregory K Bergey
1Department of Neurology, Epilepsy Research Laboratory, Johns Hopkins University School of Medicine, Meyer 2-147, 600 N Wolfe Street, Baltimore, MD 21287, USA. cjouny@jhmi.edu
Complexity and entropy measures reliably detect partial seizure onset. Gabor atom density (GAD) and Higuchi fractal dimension (HFD) highlight the multimodal nature of seizure evolution, improving early detection methods.
Area of Science:
- Neuroscience
- Signal Processing
- Dynamical Systems Theory
Background:
- A standardized classification for partial seizure onset features is lacking.
- Complexity and entropy are widely used for dynamical systems but not systematically evaluated for partial seizures.
Purpose of the Study:
- To systematically evaluate complexity and entropy measures for characterizing partial seizure onset.
- To identify reliable methods for early seizure detection.
Main Methods:
- Eighteen measures including frequency band power, Gabor atom density (GAD), Higuchi fractal dimension (HFD), Lempel-Ziv complexity, Shannon entropy, sample entropy, and permutation entropy were tested.
- Intracranial recordings from 45 patients (331 partial seizures) with various seizure foci were analyzed.
Main Results:
- Gabor atom density (GAD), Lempel-Ziv complexity, Higuchi fractal dimension (HFD), high-frequency activity, and sample entropy demonstrated high reliability in assessing early seizure onset.
- These measures effectively detected seizure onset across different seizure foci.
Conclusions:
- Increased complexity and high-frequency components are common in early partial seizure evolution.
- The type of measure (frequency, complexity, or entropy) does not predict detection efficiency.
- Measures like GAD and HFD reveal the multimodal nature of seizure onsets, suggesting improved early detection through understanding these dynamics.
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