Steady Beat Sound Facilitates both Coordinated Group Walking and Inter-Subject Neural Synchrony

Group walking is a collective social interaction task as pedestrians are required to determine their own pace of walking on the basis of surrounding others’ states. The steady beat sound is known to be a controllable factor that contributes to relative success/failure of coordinated group walking since the beat improves pedestrian flow in congested situation. According to some reports, inter-personal interaction synchronizes inter-personal brain activity in the prefrontal region, which supports social cognitive processes required for successful inter-individual coordination, such as predicting each other’s state; success/failure of a coordinated task is associated with increase/decrease in inter-subject neural synchrony (INS). Combining these previous findings, we hypothesized that INS during group walking in congested situations would also differ depending on the existence of the steady beat, corresponding to the modulated coordination-related cognitive processes. Subjects’ frontopolar activities were measured using ultra-small near infrared spectroscopy, which can simultaneously measure the brain activities of multiple subjects without constraints on their motions. To exclude the possibility that increased INS may be spuriously induced by the shared stimuli (i.e., steady beat) or by the resultant behavioral synchronization, as control we used stepping on a same spot, which is similar in movement to walking but does not require the subjects to consider others’ states, either with or without the steady beat. In a two by two repeated measures factorial experimental design, the subjects were instructed to walk or keep stepping on a same spot with or without a steady beat sound of 70 beats per minute. As previously reported, the walking flow during group walking with the beat significantly increased compared with that without the beat. Synchronization of stepping between the subjects was also significantly increased by the steady beat sound. For INS, we observed a significant interaction effect between walking/stepping and sound/no-sound, supporting our hypothesis. INS while walking with the beat was higher than that without the beat, whereas the beat induced no significant differences in INS during stepping. Furthermore, the effect of the beat on INS while walking was spatially extended beyond the adjacent pedestrians, reflecting the diffuse nature of the collective coordination in group walking. The increase of INS for walking suggested that the steady beat sound led to more harmonized inter-personal cognitive processes, which resulted in the more coordinated group motion.

[1]  F. Cincotti,et al.  Neuroelectrical Hyperscanning Measures Simultaneous Brain Activity in Humans , 2010, Brain Topography.

[2]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[3]  F. Scholkmann,et al.  Between-brain coherence during joint n-back task performance: A two-person functional near-infrared spectroscopy study , 2012, Behavioural Brain Research.

[4]  Daniel Houser,et al.  A functional imaging study of cooperation in two-person reciprocal exchange , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Y. Hu,et al.  Synchronous brain activity during cooperative exchange depends on gender of partner: A fNIRS‐based hyperscanning study , 2015, Human brain mapping.

[6]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[7]  K. Kubota,et al.  Synchronous activity of two people's prefrontal cortices during a cooperative task measured by simultaneous near-infrared spectroscopy. , 2011, Journal of biomedical optics.

[8]  Daichi Yanagisawa,et al.  Anticipation effect in pedestrian dynamics: Modeling and experiments , 2012 .

[9]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[10]  Rolf B. Saager,et al.  Two-detector Corrected Near Infrared Spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS , 2011, NeuroImage.

[11]  G. Buzsáki,et al.  Natural logarithmic relationship between brain oscillators , 2003 .

[12]  G. Dumont,et al.  Wavelet based motion artifact removal for Functional Near Infrared Spectroscopy , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[13]  G. Buzsáki,et al.  Neuronal Oscillations in Cortical Networks , 2004, Science.

[14]  D. Moelants,et al.  Walking on music. , 2007, Human movement science.

[15]  Xiang Xiao,et al.  Cluster imaging of multi-brain networks (CIMBN): a general framework for hyperscanning and modeling a group of interacting brains , 2015, Front. Neurosci..

[16]  Aslak Grinsted,et al.  Nonlinear Processes in Geophysics Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series , 2022 .

[17]  A. Roepstorff,et al.  The two-brain approach: how can mutually interacting brains teach us something about social interaction? , 2012, Front. Hum. Neurosci..

[18]  Viktor Müller,et al.  Interactive brains, social minds , 2011, Communicative & integrative biology.

[19]  Line Garnero,et al.  Inter-Brain Synchronization during Social Interaction , 2010, PloS one.

[20]  Chaozhe Zhu,et al.  Neural Synchronization during Face-to-Face Communication , 2012, The Journal of Neuroscience.

[21]  K. Vogeley,et al.  Toward a second-person neuroscience 1 , 2013, Behavioral and Brain Sciences.

[22]  Xu Cui,et al.  NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation , 2012, NeuroImage.

[23]  Alan Gevins,et al.  Towards Measuring Brain Function on Groups of People in the Real World , 2012, PloS one.

[24]  F. Scholkmann,et al.  A new methodical approach in neuroscience: assessing inter-personal brain coupling using functional near-infrared imaging (fNIRI) hyperscanning , 2013, Front. Hum. Neurosci..

[25]  Dirk Helbing,et al.  Pedestrian, Crowd and Evacuation Dynamics , 2013, Encyclopedia of Complexity and Systems Science.

[26]  Masako Okamoto,et al.  Virtual spatial registration of stand-alone fNIRS data to MNI space , 2007, NeuroImage.

[27]  Bharat B. Biswal,et al.  The oscillating brain: Complex and reliable , 2010, NeuroImage.

[28]  Martin Wolf,et al.  Between-brain connectivity during imitation measured by fNIRS , 2012, NeuroImage.

[29]  Masako Okamoto,et al.  Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping , 2004, NeuroImage.

[30]  Shu-Chen Li,et al.  Brains swinging in concert: cortical phase synchronization while playing guitar , 2009, BMC Neuroscience.

[31]  Daichi Yanagisawa,et al.  Improvement of pedestrian flow by slow rhythm. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[33]  S. Shimojo,et al.  Interpersonal body and neural synchronization as a marker of implicit social interaction , 2012, Scientific Reports.

[34]  Takayuki Nozawa,et al.  Interpersonal frontopolar neural synchronization in group communication: An exploration toward fNIRS hyperscanning of natural interactions , 2016, NeuroImage.

[35]  G. Ding,et al.  Leader emergence through interpersonal neural synchronization , 2015, Proceedings of the National Academy of Sciences.