Literature DB >> 28043201

Physiological Ripples Associated with Sleep Spindles Differ in Waveform Morphology from Epileptic Ripples.

Jonas C Bruder1, Matthias Dümpelmann2, Daniel Lachner Piza2, Malenka Mader1, Andreas Schulze-Bonhage2, Julia Jacobs-Le Van1,2.   

Abstract

High frequency oscillations (HFOs, 80-500[Formula: see text]Hz) serve as novel electroencephalography (EEG) markers of epileptic tissue. The differentiation of physiological and epileptic HFO is an important challenge and is complicated by the fact that both types are generated in mesiotemporal structures. This study aimed to identify oscillation features that serve to distinguish physiological ripples associated with sleep spindles and epileptic ripples. We studied 19 patients with chronic intracranial EEG(iEEG) with mesiotemporal implantation and simultaneous scalp EEG. Sleep spindles, ripples and spikes were visually marked during nonrapid eye movement sleep stage 2. Ripples co-occurring with spikes and in seizure onset zone (SOZ) channels but outside of spindles were considered epileptic. The SOZ is defined by the origin of clinical seizures in iEEG. Ripples co-occurring with spindles were considered as models for physiological ripples. A correlation analysis showed a significant ripple amplitude peak - spindle trough - coupling, thus proving their physiological linkage. Epileptic ripples showed significantly higher values in all amplitude features than spindle ripples. All amplitude features and peaks per sample length showed a predictive value for the classification between model physiological ripples and epileptic ripples but indicate that the specificity is not sufficient for a reliable discrimination of single ripple events. The presented results suggest that a secure identification of epileptic ripples may be available to help identify the epileptic focus in the future.

Entities:  

Keywords:  Epilepsy; feature extraction; high frequency oscillation; intracranial EEG; ripple; sleep spindle

Mesh:

Year:  2016        PMID: 28043201     DOI: 10.1142/S0129065717500113

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  9 in total

1.  Progress and Remaining Challenges in the Application of High Frequency Oscillations as Biomarkers of Epileptic Brain.

Authors:  Fatemeh Khadjevand; Jan Cimbalnik; Gregory A Worrell
Journal:  Curr Opin Biomed Eng       Date:  2017-09-22

2.  A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals.

Authors:  Juan P Amezquita-Sanchez; Martin Valtierra-Rodriguez; Hojjat Adeli; Carlos A Perez-Ramirez
Journal:  J Med Syst       Date:  2018-08-16       Impact factor: 4.460

3.  Mesial-Temporal Epileptic Ripples Correlate With Verbal Memory Impairment.

Authors:  Jonas Christian Bruder; Kathrin Wagner; Daniel Lachner-Piza; Kerstin Alexandra Klotz; Andreas Schulze-Bonhage; Julia Jacobs
Journal:  Front Neurol       Date:  2022-06-03       Impact factor: 4.086

4.  Distinction of Physiologic and Epileptic Ripples: An Electrical Stimulation Study.

Authors:  Jan Schönberger; Anja Knopf; Kerstin Alexandra Klotz; Matthias Dümpelmann; Andreas Schulze-Bonhage; Julia Jacobs
Journal:  Brain Sci       Date:  2021-04-24

Review 5.  High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

Authors:  Peter Höller; Eugen Trinka; Yvonne Höller
Journal:  Comput Intell Neurosci       Date:  2018-08-07

6.  Physiological Ripples Associated With Sleep Spindles Can Be Identified in Patients With Refractory Epilepsy Beyond Mesio-Temporal Structures.

Authors:  Jonas C Bruder; Christoph Schmelzeisen; Daniel Lachner-Piza; Peter Reinacher; Andreas Schulze-Bonhage; Julia Jacobs
Journal:  Front Neurol       Date:  2021-02-10       Impact factor: 4.003

7.  Are High Frequency Oscillations in Scalp EEG Related to Age?

Authors:  Philipp Franz Windhager; Adrian V Marcu; Eugen Trinka; Arne Bathke; Yvonne Höller
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

8.  A New Methodology Based on EMD and Nonlinear Measurements for Sudden Cardiac Death Detection.

Authors:  Olivia Vargas-Lopez; Juan P Amezquita-Sanchez; J Jesus De-Santiago-Perez; Jesus R Rivera-Guillen; Martin Valtierra-Rodriguez; Manuel Toledano-Ayala; Carlos A Perez-Ramirez
Journal:  Sensors (Basel)       Date:  2019-12-18       Impact factor: 3.576

9.  High frequency oscillations in epileptic and non-epileptic human hippocampus during a cognitive task.

Authors:  Martin Pail; Jan Cimbálník; Robert Roman; Pavel Daniel; Daniel J Shaw; Jan Chrastina; Milan Brázdil
Journal:  Sci Rep       Date:  2020-10-23       Impact factor: 4.379

  9 in total

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