The emergence of high-density mobile brain/body imaging (MoBI) has ushered in a new era of possibilities for human neuroscience. This cutting-edge techno-methodological approach allows for the simultaneous recording of both brain and body physiology along with behavior and environmental variables. However, a significant challenge remains: the prevailing literature tends to analyze brain metrics, such as ERP, and visceral measures like HRV, as separate entities. This segmented approach limits our understanding of how these intertwined signals should be analyzed and interpreted.

Moreover, when we delve into the realm of social interactions, the intricacies multiply. Cognition isn’t a solitary phenomenon; it’s deeply rooted in and influenced by our interactions with others. This brings hyperscanning into the spotlight. As a method that captures brain activity from multiple individuals simultaneously, hyperscanning offers a window into the brain and body correlates of social interactions. Yet, while its potential is vast, it also introduces a new layer of complexity to data analysis and interpretation.

In this presentation, I aim to shed some light on these challenges and the strides we’re making to overcome them. Drawing from the pioneering work of our research group, I will show some of the scalable experimental setups we have implemented in Santiago de Chile. Furthermore, I will present our early efforts to synthesize this wealth of information; a lower-dimensional summary statistic, an attempt to distill complex datasets into more digestible, yet comprehensive insights.