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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method
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Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method

Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method

2,702 Views

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08:42 min

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September 03, 2021

DOI:

10.3791/62927-v

DOI:
10.3791/62927-v

•

08:42 min
September 03, 2021

•

5 Views
, ,
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research,Beijing Normal University, 2Institute of Developmental Psychology, Faculty of Psychology,Beijing Normal University

Summary

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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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FNIRS-hyperscanningPartial Wavelet Transform CoherenceInformation FlowNeural SynchronizationTime-lagged AnalysisAutocorrelationMotion Artifact CorrectionPCA Denoising

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Cite this Article

Zhou, S., Long, Y., Lu, C. Measurement of the Directional Information Flow in fNIRS-Hyperscanning Data using the Partial Wavelet Transform Coherence Method. J. Vis. Exp. (175), e62927, doi:10.3791/62927 (2021).

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