Key result
Nonlinear dynamics methods of EEG patterns can quantitatively estimate the lability of the human brain to reproduce suggested rhythms in patients with atrial fibrillation.
Observational
Nonlinear dynamics methods applied to EEG patterns can quantitatively estimate the brain's ability to reproduce suggested rhythms in patients with atrial fibrillation.
May quantify brain rhythm lability via EEG in AF; hypothesis-generating and should not yet change practice.
Using nonlinear dynamics methods (wavelet and recurrence analysis) of electroencephalographic (EEG) patterns we have examined the photic driving reaction for patients with atrial fibrillation of the constant and paroxysmal forms. As quantitative parameters of this reaction we consider the coefficients of photic driving and holding, the times of remembering an external rhythm, and the values of wavelet coherence, as well as the average lengths of diagonal lines in joint recurrence plots of the light stimulus and EEG pattern. This study demonstrates the ability of the applied methods to quantitatively estimate the lability of the human brain to reproduce suggested rhythms for different patients.
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Dick et al. (2019) conducted an observational in Atrial fibrillation. Photic driving reaction (light stimulus) was evaluated on Quantitative parameters of photic driving reaction (coefficients of photic driving and holding, times of remembering an external rhythm, wavelet coherence, and recurrence plots). Nonlinear dynamics methods of EEG patterns can quantitatively estimate the lability of the human brain to reproduce suggested rhythms in patients with atrial fibrillation.
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