Waiting
Traitement de la connexion…

Trial ends in Request Full Access Tell Your Colleague About Jove
Journal / Neuroscience / Measurement of the Directional Information Flow…
JoVE Journal
Neuroscience

Un abonnement à JoVE est nécessaire pour afficher ce contenu. Connectez-vous ou commencez votre essai gratuit.

JoVE Journal Neuroscience
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

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

Chapitres

résumé
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.

Tags

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
Read Article

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter