04-18, 11:30–12:05 (US/Eastern), Auditorium 3
In our project, we took MRI-derived brain data and reinterpreted it through an aesthetic lens. Using multidimensional scaling (MDS) to distill complex patterns in cortical anatomy, we transformed these insights into physical 3D-printed brain models. Each sculpture serves as a tangible narrative, celebrating both the subtle and striking differences between male and female brains, whether neurotypical or affected by ASD.
Historically, research has highlighted a notable disparity in ASD diagnoses—with males being diagnosed significantly more frequently than females. However, beneath these statistics lies a rich tapestry of neuroanatomical diversity that often goes unnoticed. Our work reimagines this disparity as a piece of art, where data becomes a sculptural medium inviting viewers to engage with and reflect on the intricacies of brain structure.
Drawing on over 300 3D brain surface models from the Autism Centers of Excellence (ACE) study, our approach blends advanced MRI neuroimaging, multivariate statistical analysis, and cutting-edge 3D printing technology. The result is an artful representation that not only quantifies but also visually and tangibly celebrates sex differences in brain morphology across both ASD and non-ASD populations.
This presentation will take you on a journey through our methodological and creative process—from the acquisition and analysis of complex neuroimaging data to the transformation of these insights into physical art. We will discuss the technical details of MRI scanning, the challenges and innovations in our multivariate analyses, and the craftsmanship behind the 3D printing process.
Designed for an audience spanning both scientific and artistic disciplines, this presentation aims to inspire new ways of thinking about data visualization. By embracing "data as art," we encourage a more holistic understanding of neurodiversity—one that not only informs but also resonates on an emotional and aesthetic level. Join us for this presentation as we explore how the fusion of art and science can lead to innovative insights into the human brain, fostering a deeper appreciation for the nuanced interplay of sex differences in ASD and beyond.
No previous knowledge expected
Siwen Liao is a second-year undergraduate student at the University of Virginia studying statistics and physics. Her academic interests focus on applying data science and quantitative methods to medicine and healthcare.