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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
JoVE Journal
Neuroscience
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JoVE Journal Neuroscience
Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
DOI:

08:42 min

September 03, 2021

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Chapters

  • 00:04Introduction
  • 00:54Functional Near-Infrared Spectroscopy (fNIRS) Data Preprocessing
  • 01:47First-Level Functional Near-Infrared Spectroscopy (fNIRS) Data Processing
  • 04:04Second-Level Functional Near-Infrared Spectroscopy (fNIRS) Data Processing
  • 05:56Results: Findings of the Simulation and Empirical Experiment
  • 07:50Conclusion

Summary

Automatic Translation

This protocol describes partial wavelet transform coherence (pWTC) for calculating the time-lagged pattern of interpersonal neural synchronization (INS) to infer the direction and temporal pattern of information flow during social interaction. The effectiveness of pWTC in removing the confounds of signal autocorrelation on INS was proved by two experiments.

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