Dynamic computational methods linking neuroimaging and microphenomenological accounts

Recent advances in computational neuroscience and neuroimaging enable increasingly precise tracking of large-scale brain dynamics during altered states of consciousness. Yet, the subjective structure of experience, its unfolding intensity, content, and qualitative shifts, remains difficult to integrate with these neural measures. This study proposes a dynamic computational framework linking neuroimaging markers of brain dynamics with microphenomenological accounts of psychedelic experience. By combining fine-grained temporal mapping of subjective reports with whole-brain modeling and dynamical metrics, we aim to uncover principled relationships between the structure of experience and the evolving organization of brain activity. This integrative approach seeks to bridge first- and third-person perspectives, offering a mechanistic understanding of how psychedelics transform consciousness over time.