Permutation entropy of scalp EEG: A tool to investigate epilepsies. Suggestions from absence epilepsies.

Edoardo Ferlazzo, Nadia Mammone, Vittoria Cianci, Sara Gasparini, Antonio Gambardella, Angelo Labate, Maria Adele Latella, Vito Sofia, Maurizio Elia, Francesco Carlo Morabito, Umberto Aguglia

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: We used permutation entropy (PE) to disclose abnormalities of cerebral activity in patients with typical absences (TAs). Methods: We evaluated 24 EEG of TA patients and 40 EEG of healthy subjects. PE was estimated channel by channel, with electrodes being divided into high-PE cluster (high randomness), low-PE cluster (low randomness), and neutral cluster. We compared PE between EEG of patients and controls, and between interictal and ictal EEG of patients. Results: Patients showed a recurrent behavior of PE topography, with anterior brain regions constantly associated to high PE levels and posterior brain regions constantly associated to low PE levels, during both interictal and ictal phases. On the contrary, healthy controls had a random distribution of PE topography. Conclusions: In patients with TAs, a higher randomness in fronto-temporal areas and a lower randomness in posterior areas occur during both interictal and ictal phases. Such abnormalities are in keeping with evidences from different morphological and functional studies showing multifocal brain changes in TA patients. Significance: PE seems to be a useful tool to disclose abnormalities of cerebral electric activity not revealed by conventional EEG recordings, opening interesting prospective for future studies.

Original languageEnglish
Pages (from-to)13-20
Number of pages8
JournalClinical Neurophysiology
Volume125
Issue number1
DOIs
Publication statusPublished - Jan 2014

Keywords

  • Absences
  • Brain topography
  • EEG
  • Permutation entropy

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Physiology (medical)
  • Sensory Systems

Fingerprint Dive into the research topics of 'Permutation entropy of scalp EEG: A tool to investigate epilepsies. Suggestions from absence epilepsies.'. Together they form a unique fingerprint.

Cite this