Topological Phase Transitions in Whole-Brain Dynamics Driven by Spatially Heterogeneous Receptor Gain Modulation: A Receptor-Constrained Dynamical Topology (RCDT) Hypothesis
bioRxiv (Cold Spring Harbor Laboratory) February 6, 2026 preprint DOI: 10.64898/2026.02.04.703742 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Qualitative |
|---|---|
| Key points | Proposes that drug effects on brain dynamics can be modeled as a chain from receptor binding through gain modulation to topological reorganization of whole-brain attractors, and defines ego dissolution as a breakdown of low-dimensional Betti-1 stability. Argues the framework is falsifiable through receptor-shuffling controls and concentration-topology response curves. |
Abstract
The mechanistic link between molecular pharmacology and global brain dynamics remains unresolved - a "scale bridge" problem central to consciousness research. We propose the Receptor-Constrained Dynamical Topology (RCDT) hypothesis: that the functional impact of neuromodulatory drugs propagates from local ligand-receptor binding events through spatially heterogeneous gain modulation to produce qualitative reorganizations of the whole-brain dynamical attractor. Using a biophysically grounded whole-brain model - Wilson-Cowan excitatory-inhibitory dynamics on structural connectivity with axonal delays - we implement pharmacology via gain modulation weighted by 5-HT2A receptor density (Beliveau et al., 2017). Topological state-space analysis via Takens embedding and persistent homology reveals a mapping from molecular receptor distribution to the global topological manifold. We define ego dissolution operationally as a breakdown of low-dimensional Betti-1 stability: a transition from a single dominant 1-cycle (constrained dynamics) to fragmented or higher-dimensional topological structure. The RCDT hypothesis is explicitly falsifiable: receptor-shuffling controls and concentration-topology response curves provide clear failure criteria. This work establishes a formal framework for bridging pharmacology, dynamics, and topology without invoking phenomenological experience as a premise.