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Poster B in Poster Session B: Tuesday, August 4, 2:00 – 3:45 pm, Kimmel Center, Shorin & Rosenthal Rooms

B³ net: Brain-Body-Behavior model of attention fluctuations in humans

Zinong Yang¹, Laura D. Lewis¹; ¹Massachusetts Institute of Technology

Presenter: Zinong Yang

Attentional lapses arise from spontaneous fluctuations in brain state, but tracking these fluctuations from noninvasive signals remains challenging. To bridge this gap, we developed a deep latent dynamical model that infers attentional state from peripheral physiology. The model decodes lapse versus attend trials from autonomic signals and reconstructs trial-level whole-brain blood oxygen level dependent (BOLD) dynamics from the learned latent representation, outperforming single-channel linear baselines. These results suggest that attentional fluctuations are expressed in coordinated, low-dimensional brain-body dynamics.

Topic Area: Methods, Tools, Theory & Neural Coding