Statistical Frequency-Dependent Analysis of Trial-to-Trial Variability in Single Time Series by Recurrence Plots

Abstract : For decades, research in neuroscience has supported the hypothesis that brain dynamics exhibits recurrent metastable states connected by transients, which together encode fundamental neural information processing. To understand the system’s dynamics it is important to detect such recurrence domains, but it is challenging to extract them from experimental neuroscience datasets due to the large trial-to-trial variability. The proposed methodology extracts recurrent metastable states in univariate time series by transforming datasets into their time-frequency representations and computing recurrence plots based on instantaneous spectral power values in various frequency bands. Additionally, a new statistical inference analysis compares different trial recurrence plots with corresponding surrogates to obtain statistically significant recurrent structures. This combination of methods is validated by applying it to two artificial datasets. In a final study of visually-evoked Local Field Potentials in partially anesthetized ferrets, the methodology is able to reveal recurrence structures of neural responses with trial-to-trial variability. Focusing on different frequency bands, the delta-band activity is much less recurrent than alpha-band activity. Moreover, alpha-activity is susceptible to pre-stimuli, while delta-activity is much less sensitive to pre-stimuli. This difference in recurrence structures in different frequency bands indicates diverse underlying information processing steps in the brain.
Complete list of metadatas

Cited literature [52 references]  Display  Hide  Download

https://hal.inria.fr/hal-01159664
Contributor : Tamara Tosic <>
Submitted on : Wednesday, January 27, 2016 - 4:06:28 PM
Last modification on : Tuesday, December 18, 2018 - 4:40:21 PM
Long-term archiving on : Thursday, April 28, 2016 - 11:21:25 AM

File

Frontier_journal_Tosic2015.pdf
Files produced by the author(s)

Identifiers

Citation

Tamara Tošić, Kristin K. Sellers, Flavio Fröhlich, Mariia Fedotenkova, Peter Beim Graben, et al.. Statistical Frequency-Dependent Analysis of Trial-to-Trial Variability in Single Time Series by Recurrence Plots. Frontiers in Systems Neuroscience, Frontiers, 2016, 9 (184), ⟨10.3389/fnsys.2015.00184⟩. ⟨hal-01159664v2⟩

Share

Metrics

Record views

514

Files downloads

281