Vries, Marten de (2022) Measuring Inter-Brain Synchrony: Methods and Pitfalls. Master's Thesis / Essay, Computational Cognitive Science.
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Abstract
Collecting EEG data for two participants simultaneously during a task (i.e., hyperscanning) allows us to study their social interaction. Of particular interest is their inter-brain synchrony (IBS), i.e. how functionally similar their neural oscillations are. Using a full IBS analysis of a tacit coordination experiment and simulations, we study the effect of different methodological choices in an IBS measurement pipeline. Three ways to quantify IBS are studied: the phase-locking value (PLV), the circular correlation (CCorr) and the imaginary part of coherency (ImagCoh). Each measures functional similarity in its own way and has its advantages and disadvantages. We find the CCorr measure to be less stable than the others, but still recommend its use along with the PLV measure because of its natural interpretation and good performance on simulated data. We present a robust version of the circular correlation measure and make recommendations for how to best perform an IBS analysis.
| Item Type: | Thesis (Master's Thesis / Essay) |
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| Supervisor name: | Vugt, M.K. van and Newman, L.A. |
| Degree programme: | Computational Cognitive Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 02 Jan 2023 11:02 |
| Last Modified: | 02 Jan 2023 11:02 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/29088 |
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