Testing the Entropic Brain Hypothesis Across Diverse States and Conditions
Dante Sebastián Galván Rial, Panagiotis Fotiadis, Marina Dauphin, Claudia Pascovich
Open Science Framework July 5, 2026 preprint DOI: 10.17605/osf.io/r27mf (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Keywords | Consciousness Randomness Operationalization Integrated information theory Qualia Cognitive psychology Cognitive science Resting State FMRI Statistical physics State computer science Dynamical systems theory |
| Key points | The text situates consciousness science around the question of how different states of consciousness arise from brain activity and notes that prior work has linked conscious states to large-scale brain organization and dynamical complexity, measured through network integration, graph-theoretical properties, signal diversity, perturbational complexity, and dynamic functional connectivity. |
Abstract
Understanding how different states of consciousness arise from brain activity remains a central challenge in consciousness science. Theoretical and empirical work has increasingly linked conscious states to the large-scale organization and dynamical complexity of brain activity, using measures ranging from network integration and graph-theoretical properties to signal diversity, perturbational complexity, and dynamic functional connectivity (Barttfeld et al. , 2015; Casali et al. , 2013; Demertzi et al. , 2019; Schartner et al. , 2015, 2017; Tagliazucchi et al. , 2014).