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使用偏小波变换相干法测量 fNIRS-超扫描数据中的定向信息流

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

Please note that all translations are automatically generated. Click here for the English version.

使用偏小波变换相干法测量 fNIRS-超扫描数据中的定向信息流

DOI:

10.3791/62927-v

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08:42 min

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September 03, 2021

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Siyuan Zhou*¹, Yuhang Long*², Chunming Lu

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

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

该协议描述了部分小波变换相干性（pWTC），用于计算人际神经同步（INS）的时间滞后模式，以推断社会互动过程中信息流的方向和时间模式。通过两个实验证明了pWTC在消除INS信号自相关混杂方面的有效性。

Tags

FNIRS-hyperscanning Partial Wavelet Transform Coherence Information Flow Neural Synchronization Time-lagged Analysis Autocorrelation Motion Artifact Correction PCA Denoising

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