Detecting determinism with improved sensitivity in time series: Rank-based nonlinear predictability score

Naro, Daniel; Rummel, Christian; Schindler, Kaspar Anton; Andrzejak, Ralph G. (2014). Detecting determinism with improved sensitivity in time series: Rank-based nonlinear predictability score. Physical review. E - statistical, nonlinear, and soft matter physics, 90(3), 032913. American Physical Society 10.1103/PhysRevE.90.032913

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The rank-based nonlinear predictability score was recently introduced as a test for determinism in point processes. We here adapt this measure to time series sampled from time-continuous flows. We use noisy Lorenz signals to compare this approach against a classical amplitude-based nonlinear prediction error. Both measures show an almost identical robustness against Gaussian white noise. In contrast, when the amplitude distribution of the noise has a narrower central peak and heavier tails than the normal distribution, the rank-based nonlinear predictability score outperforms the amplitude-based nonlinear prediction error. For this type of noise, the nonlinear predictability score has a higher sensitivity for deterministic structure in noisy signals. It also yields a higher statistical power in a surrogate test of the null hypothesis of linear stochastic correlated signals. We show the high relevance of this improved performance in an application to electroencephalographic (EEG) recordings from epilepsy patients. Here the nonlinear predictability score again appears of higher sensitivity to nonrandomness. Importantly, it yields an improved contrast between signals recorded from brain areas where the first ictal EEG signal changes were detected (focal EEG signals) versus signals recorded from brain areas that were not involved at seizure onset (nonfocal EEG signals).

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Rummel, Christian and Schindler, Kaspar Anton

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1539-3755

Publisher:

American Physical Society

Language:

English

Submitter:

Valentina Rossetti

Date Deposited:

13 Oct 2014 08:37

Last Modified:

26 Jun 2016 01:54

Publisher DOI:

10.1103/PhysRevE.90.032913

PubMed ID:

25314510

BORIS DOI:

10.7892/boris.58888

URI:

https://boris.unibe.ch/id/eprint/58888

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