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JoVE Journal Neuroscience
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

Article DOI: 10.3791/62927-v • 08:42 min • September 3rd, 2021
September 3rd, 2021 •
*1, *2, 1
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
* These authors contributed equally

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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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Directional Information Flow FNIRS-Hyperscanning Partial Wavelet Transform Coherence Method Neural Synchronization Confounding Factors Data Pre-processing Hemoglobin Concentration Changes Data Transient Responses Motion Artifacts Discrete Wavelet Transform Filter Method PCA Global Physiological Noise Top 80% Variance
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