Literature DB >> 1711458

Evidence for slow brain waves: a dynamical approach.

A Babloyantz1.   

Abstract

Various techniques of non-linear dynamics have been applied with success to EEG data and have provided a new insight into brain dynamics. Among these the 'recurrence plot' is a powerful tool for revealing the presence of drift or periodicities and is easily obtained in the framework of a non-linear dynamical analysis. When this analysis is applied to the EEG recorded from a patient suffering from Creutzfeldt-Jakob disease one observes the presence of slow periodicities of the order of 58 sec. We suggest that the recurrence plots are powerful tools for discovering hidden periodicities of EEG as well as the degree of stationarity of brain activity.

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Year:  1991        PMID: 1711458     DOI: 10.1016/0013-4694(91)90101-9

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  5 in total

1.  Predictability of human EEG: a dynamical approach.

Authors:  D Gallez; A Babloyantz
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  Computation with chaos: a paradigm for cortical activity.

Authors:  A Babloyantz; C Lourenço
Journal:  Proc Natl Acad Sci U S A       Date:  1994-09-13       Impact factor: 11.205

3.  Estimation of the dimensionality of sleep-EEG data in schizophrenics.

Authors:  J Röschke; J B Aldenhoff
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1993       Impact factor: 5.270

4.  Recurrence-Based Synchronization Analysis of Weakly Coupled Bursting Neurons under External ELF Fields.

Authors:  Aissatou Mboussi Nkomidio; Eulalie Ketchamen Ngamga; Blaise Romeo Nana Nbendjo; Jürgen Kurths; Norbert Marwan
Journal:  Entropy (Basel)       Date:  2022-02-03       Impact factor: 2.524

5.  TMS-evoked changes in brain-state dynamics quantified by using EEG data.

Authors:  Tuomas Mutanen; Jaakko O Nieminen; Risto J Ilmoniemi
Journal:  Front Hum Neurosci       Date:  2013-04-25       Impact factor: 3.169

  5 in total

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