To improve our understanding of the physiology of generalized tonic-clonic (GTC) seizures, we have investigated the stationarity and redundancy of 21-electrode EEG data recorded from ten patients during GTC seizures elicited by electroconvulsive therapy (ECT). Stationarity was examined by calculating probability density functions (pdfs) and power spectra over small equal-length non-overlapping time windows and then by studying, visually and quantitatively, the evolution of these quantities over the duration of the seizures. Our analysis shows that some seizures had no demonstrable stationarity, that most seizures had time intervals of at least a few seconds that were statistically stationary by several criteria, and that, in some seizures, there were leads which were delayed in manifesting the statistical changes associated with seizure onset evident in other leads. The redundancy analysis demonstrated for the first time posterior-to-anterior time delays in the mid-ictal region of GTC seizures. The implications of these findings are discussed for the analysis of GTC seizure EEG data, for the physiology of GTC seizures, and for ECT research.

Download full-text PDF

Source
http://dx.doi.org/10.1023/a:1023489807177DOI Listing

Publication Analysis

Top Keywords

gtc seizures
16
eeg data
12
seizures
9
stationarity redundancy
8
data recorded
8
generalized tonic-clonic
8
gtc
5
stationarity
4
redundancy multichannel
4
multichannel eeg
4

Similar Publications

Coronavirus disease 2019 (COVID-19) is a viral pandemic and a matter of concern. It also mimics viral pneumonia with cough and fever but also causes severe sequels and various complications. Subdural empyema is a very rare brain infection presenting mostly with fever, weakness, and altered level of consciousness, and has been recently noted as a new complication of COVID-19.

View Article and Find Full Text PDF

Background And Objective: Evaluate relationships between PSG-confirmed OSA and SUDEP risk using the revised SUDEP Risk Inventory (rSUDEP-7).

Methods: Identified adults with epilepsy (AWE) who underwent PSG 2004-2016 at Cleveland Clinic. OSA was defined as apnea-hypopnea index (AHI)- ≥-5/h sleep; moderate/severe OSA as AHI≥15.

View Article and Find Full Text PDF

Update review on SUDEP: Risk assessment, background & seizure detection devices.

Epilepsy Behav

November 2024

Academic Center for Epileptology Kempenhaeghe, Heeze, The Netherlands; Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Neurology, Ghent University Hospital, Ghent, Belgium.

Article Synopsis
  • The review examines sudden unexpected death in epilepsy (SUDEP), focusing on risk factors, scoring systems to assess risk, and mechanisms behind SUDEP occurrences.
  • Key risk factors include the presence and frequency of generalized tonic-clonic seizures (GTC), with odds ratios indicating significant risk, particularly in specific contexts like bedroom sharing.
  • Four main SUDEP risk scoring systems are discussed, highlighting their different designs and the need for further validation in general epilepsy populations, along with proposed mechanisms of SUDEP involving brainstem dysfunction and potential roles of adenosine and serotonin.
View Article and Find Full Text PDF

Objective: As stroke is still considered a significant cause of mortality and morbidity, it is crucial to find the factors affecting the outcome in these patients. We aimed to interpret the various clinical and investigational parameters and establish their association with the outcome in stroke patients.

Materials And Methods: This is a retrospective, cross-sectional study, conducted in the Department of Neurology between June 2019 to November 2021.

View Article and Find Full Text PDF

Background: With the advancement of next-generation sequencing, clinicians are now able to detect ultra-rare mutations that are barely encountered by the majority of physicians. Ultra-rare and rare diseases cumulatively acquire a prevalence equivalent to type 2 diabetes with 80% being genetic in origin and more prevalent among high consanguinity communities including Saudi Arabia. The challenge of these diseases is the ability to predict their prevalence and define clear phenotypic features.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!