Literature DB >> 24494638

Standing waves as an explanation for generic stationary correlation patterns in noninvasive EEG of focal onset seizures.

Markus Franziskus Müller1, Christian Rummel, Marc Goodfellow, Kaspar Schindler.   

Abstract

Cerebral electrical activity is highly nonstationary because the brain reacts to ever changing external stimuli and continuously monitors internal control circuits. However, a large amount of energy is spent to maintain remarkably stationary activity patterns and functional inter-relations between different brain regions. Here we examine linear EEG correlations in the peri-ictal transition of focal onset seizures, which are typically understood to be manifestations of dramatically changing inter-relations. Contrary to expectations we find stable correlation patterns with a high similarity across different patients and different frequency bands. This skeleton of spatial correlations may be interpreted as a signature of standing waves of electrical brain activity constituting a dynamical ground state. Such a state could promote the formation of spatiotemporal neuronal assemblies and may be important for the integration of information stemming from different local circuits of the functional brain network.

Entities:  

Mesh:

Year:  2014        PMID: 24494638     DOI: 10.1089/brain.2013.0192

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  4 in total

1.  Non-linear Analysis of Scalp EEG by Using Bispectra: The Effect of the Reference Choice.

Authors:  Federico Chella; Antea D'Andrea; Alessio Basti; Vittorio Pizzella; Laura Marzetti
Journal:  Front Neurosci       Date:  2017-05-16       Impact factor: 4.677

2.  The Influence of EEG References on the Analysis of Spatio-Temporal Interrelation Patterns.

Authors:  Wady A Ríos-Herrera; Paola V Olguín-Rodríguez; J Daniel Arzate-Mena; Maria Corsi-Cabrera; Joaquín Escalona; Arlex Marín-García; Julieta Ramos-Loyo; Ana Leonor Rivera; Daniel Rivera-López; José F Zapata-Berruecos; Markus F Müller
Journal:  Front Neurosci       Date:  2019-09-12       Impact factor: 4.677

3.  Linear and nonlinear interrelations show fundamentally distinct network structure in preictal intracranial EEG of epilepsy patients.

Authors:  Michael Müller; Matteo Caporro; Heidemarie Gast; Claudio Pollo; Roland Wiest; Kaspar Schindler; Christian Rummel
Journal:  Hum Brain Mapp       Date:  2019-10-18       Impact factor: 5.038

4.  Sensory Neuromodulation.

Authors:  Robert D Black; Lesco L Rogers
Journal:  Front Syst Neurosci       Date:  2020-03-06
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.