Understanding the social and creative brain in real-world contexts is a key challenge in neuroscience and crucial for revealing how art shapes cognition, emotion, and human connection. Artistic environments provide ideal conditions for studying neuroaesthetics—how the brain responds to and is transformed by art. Mobile electroencephalography (EEG) and mobile brain-body imaging (MoBI) technologies enable researchers to collect neural, motion, and physiological data during natural artistic activities such as dance, music, acting, and art appreciation. This approach supports the development of arts-based interventions that promote brain health and wellbeing while offering insights into neural mechanisms of creativity and social interaction. This chapter presents a structured MoBI framework for studying the creative brain in action, emphasizing multidisciplinary collaboration, cultural awareness, and integration of technologies like brain-computer interfaces (BCI), adaptive noise canceling, and generative AI (ANC). A multimodal pipeline for data denoising and analysis is introduced for hyperscanning and interactive public environments such as theaters and museums. The chapter discusses methodological and ethical challenges—data interoperability, logistics, and balancing scientific rigor with artistic expression—while providing a roadmap for applying MoBI in art-science collaborations that expand neuroscience beyond the lab.

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Understanding the Creative Brain in Action

  • Aime J. Aguilar-Herrera,
  • Maxine Annel Pacheco-Ramírez,
  • Yoshua E. Lima-Carmona,
  • Lianne Sanchez-Rodriguez,
  • Jose L. Contreras-Vidal

摘要

Understanding the social and creative brain in real-world contexts is a key challenge in neuroscience and crucial for revealing how art shapes cognition, emotion, and human connection. Artistic environments provide ideal conditions for studying neuroaesthetics—how the brain responds to and is transformed by art. Mobile electroencephalography (EEG) and mobile brain-body imaging (MoBI) technologies enable researchers to collect neural, motion, and physiological data during natural artistic activities such as dance, music, acting, and art appreciation. This approach supports the development of arts-based interventions that promote brain health and wellbeing while offering insights into neural mechanisms of creativity and social interaction. This chapter presents a structured MoBI framework for studying the creative brain in action, emphasizing multidisciplinary collaboration, cultural awareness, and integration of technologies like brain-computer interfaces (BCI), adaptive noise canceling, and generative AI (ANC). A multimodal pipeline for data denoising and analysis is introduced for hyperscanning and interactive public environments such as theaters and museums. The chapter discusses methodological and ethical challenges—data interoperability, logistics, and balancing scientific rigor with artistic expression—while providing a roadmap for applying MoBI in art-science collaborations that expand neuroscience beyond the lab.