Literature DB >> 32362136

Quantitative EEG Findings in Patients With Psychogenic Nonepileptic Seizures.

Kemal Arıkan1,2, Özden Öksüz3, Barış Metin1, Güven Günver4, Hamide Laçin Çetin2, Taha Esmeray2, Nevzat Tarhan1.   

Abstract

Objective. Psychogenic nonepileptic seizures (PNES), is one of the clinical manifestations of conversion disorder that epileptiform discharges do not accompany. Factors capable of increasing susceptibility to these seizures have not been adequately investigated yet. This study aims to investigate the quantitative electroencephalography (QEEG) findings for PNES by evaluating the resting EEG spectral power changes during the periods between seizures. Methods. Thirty-nine patients (29 females, 10 males) diagnosed with PNES (group 1) and 47 patients (23 females, 24 males) without any psychiatric diagnosis (group 2) were included in the study. The patients underwent a psychiatric examination at their first visit, were diagnosed and their EEGs were recorded. Using fast Fourier transformation (FFT), spectral power analysis was calculated for delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (15-30 Hz), high-beta (25-30 Hz), gamma-1 (31-40 Hz), gamma-2 (41-50 Hz), and gamma (30-80 Hz) frequency bands. Results. Six separate EEG band power, namely (C3-high beta, C3-gamma, C3-gamma-1, C3-gamma-2, P3-gamma, P3 gamma-1), were found to be higher in the patients diagnosed with PNES than in the control group. Conclusion. Our findings show that PNES correlate with high-frequency oscillations on central motor and somatosensory cortices.

Entities:  

Keywords:  EEG; electroencephalogram (EEG); electroencephalography; epilepsy; seizures

Mesh:

Year:  2020        PMID: 32362136     DOI: 10.1177/1550059420918756

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  3 in total

1.  A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

Authors:  Giuseppe Varone; Wadii Boulila; Michele Lo Giudice; Bilel Benjdira; Nadia Mammone; Cosimo Ieracitano; Kia Dashtipour; Sabrina Neri; Sara Gasparini; Francesco Carlo Morabito; Amir Hussain; Umberto Aguglia
Journal:  Sensors (Basel)       Date:  2021-12-25       Impact factor: 3.576

2.  Activation of Functional Brain Networks in Children With Psychogenic Non-epileptic Seizures.

Authors:  Mohammadreza Radmanesh; Mahdi Jalili; Kasia Kozlowska
Journal:  Front Hum Neurosci       Date:  2020-08-25       Impact factor: 3.169

3.  Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.

Authors:  Michele Lo Giudice; Giuseppe Varone; Cosimo Ieracitano; Nadia Mammone; Giovanbattista Gaspare Tripodi; Edoardo Ferlazzo; Sara Gasparini; Umberto Aguglia; Francesco Carlo Morabito
Journal:  Entropy (Basel)       Date:  2022-01-09       Impact factor: 2.524

  3 in total

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