  This study looked into how effective a Musical Brain-Computer Interface
(MBCI) can be in providing feedback about synchrony between two people. Using a
double EEG setup, we compared two types of musical feedback; one that adapted
in real-time based on the inter-brain synchrony between participants
(Neuroadaptive condition), and another music that was randomly generated
(Random condition). We evaluated how these two conditions were perceived by 8
dyads (n = 16) and whether the generated music could influence the perceived
connection and EEG synchrony between them. The findings indicated that
Neuroadaptive musical feedback could potentially boost synchrony levels between
people compared to Random feedback, as seen by a significant increase in EEG
phase-locking values. Additionally, the real-time measurement of synchrony was
successfully validated and musical neurofeedback was generally well-received by
the participants. However, more research is needed for conclusive results due
to the small sample size. This study is a stepping stone towards creating music
that can audibly reflect the level of synchrony between individuals.
