Capturing intra- and inter-brain dynamics with recurrence quantification analysis

Rebecca Scheurich*, Alexander P. Demos, Anna Zamm, Brian Mathias, Caroline Palmer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

We investigated the application of non-linear analysis techniques for capturing stability of neural oscillatory activity within and across brains. Recurrence Quantification Analysis (RQA), a technique that has been applied to detect stability and flexibility of motor performance, was extended to observe and quantify changes in patterns of non-linear neural activity. Participants synchronized their finger-tapping with a confederate partner who tapped at two different rhythms while neural activity was recorded from both partners using electroencephalography (EEG). Auto-recurrence (intra-brain) and cross-recurrence (inter-brain) of EEG activity were able to distinguish differences across tapping rhythms in stability of neural oscillatory activity. We also demonstrated the efficacy of RQA to capture how both period and phase changes in neural dynamics evolve over time.
Original languageEnglish
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019)
Place of PublicationMontreal
PublisherCognitive Science Society
Pages2748-2754
Number of pages7
ISBN (Print)978-1-5108-9155-5
Publication statusPublished - 2019
Event41st Annual Meeting of the Cognitive Science Society - Montreal , Canada
Duration: 24 Jul 201927 Jul 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society
Abbreviated titleCogSci 2019
Country/TerritoryCanada
CityMontreal
Period24/07/1927/07/19

Fingerprint

Dive into the research topics of 'Capturing intra- and inter-brain dynamics with recurrence quantification analysis'. Together they form a unique fingerprint.

Cite this