IntroductionInterpersonal neural synchronization (INS) demands a greater understanding of a brain's influence on others. Therefore, brain synchronization is an even more complex system than intrasubject brain connectivity and must be investigated. There is a need to develop novel methods for statistical inference in this context.MethodsIn this study, motivated by the analysis of fNIRS hyperscanning data, which measure the activity of multiple brains simultaneously, we propose a two-step network estimation: Tabu search local method and global maximization in the selected subgroup [partial conditional directed acyclic graph (DAG) + multiregression dynamic model]. We illustrate this approach in a dataset of two individuals who are playing the violin together.ResultsThis study contributes new tools to the social neuroscience field, which may provide new perspectives about intersubject interactions. Our proposed approach estimates the best probabilistic network representation, in addition to providing access to the time-varying parameters, which may be helpful in understanding the brain-to-brain association of these two players.DiscussionThe illustration of the violin duo highlights the time-evolving changes in the brain activation of an individual influencing the other one through a data-driven analysis. We confirmed that one player was leading the other given the ROI causal relation toward the other player.

O Brasil chegou a se constituir em “modelo ideal” planetário de convivência entre as raças. Porém, essa visão corrompida não ocultou a gigantesca desigualdade enfrentada pelos negros. O objetivo desse artigo é analisar raça nas suas diversas interpretações no contexto Brasileiro, em especial na Bahia, até chegar essencialmente nas suas implicações. De caráter quali-quantitativo, a partir das análises provenientes da revisão da literatura e dos dados estatísticos, encontrou-se que, apesar do mercado de trabalho ser majoritariamente negro na Bahia, as disparidades persistem.