Poster Session A, Saturday, March 23, 1:30 pm - 3:30 pm, Pacific Concourse
Characterization of hyperbrain networks during joint piano playing
Hector Orozco Perez1, Debanjan Borthakur1, Laurel J Trainor1; 1McMaster University
When two or more people engage in interpersonal action coordination (IAC)–such as playing music together–physiological responses have been reported to coordinate, including heart rate and body sway (Vickhoff et al., 2013; Müller & Lindenberger, 2011; Chang et al., 2017). Recently, researchers have tried to extrapolate these findings to the study of oscillatory cortical activity. Electrophysiological (EEG) studies of hyper-brain networks have been described in which information flows between two or more brains during joint music playing (Sänger et al., 2012; Sänger et al., 2013). However, it is unclear whether these represent IAC, or if correlations in dynamics are simply a by-product of shared perception. We combined an alternating social roles paradigm with information theory statistics and advanced signal decomposition techniques (Staniek & Lehnertz, 2008; Limpiti et al., 2006) to characterize hyperbrain networks while pianists play together. EEG results show stable within-individual networks at early timescales of interaction (10ms) including areas such as the temporal lobe, insular cortex, and prefrontal cortex. Networks between individuals peaked at later timescales (1s) and included information flowing from leaders’ prefrontal cortices to follower’ occipital areas, and information flowing from followers’ prefrontal cortices to leaders’ temporal areas. Complementary analyses of movement interaction from video recordings are underway. These findings support the idea of using hyperbrain networks as an index of IAC and suggest the possibility of operationalizing social interaction from advanced EEG data processing techniques for both research and clinical purposes.
Topic Area: PERCEPTION & ACTION: Audition