Neural Geometrodynamics, Complexity, and Plasticity: A Psychedelics Perspective
Giulio Ruffini, Edmundo Lopez-Sola, Jakub Vohryzek, Roser Sanchez-Todo
Entropy January 22, 2024 DOI: 10.3390/e26010090 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Neuroplasticity |
| Keywords | Plasticity Statistical physics Artificial intelligence Cognitive science |
| Citations | 15 |
| Key points | Proposes that psychedelics flatten the neural landscape, increasing entropy and complexity, and that this destabilization, combined with plasticity enhancement, shifts neural dynamics from rigid to more fluid and adaptable states across multiple timescales. |
Abstract
We explore the intersection of neural dynamics and the effects of psychedelics in light of distinct timescales in a framework integrating concepts from dynamics, complexity, and plasticity. We call this framework neural geometrodynamics for its parallels with general relativity’s description of the interplay of spacetime and matter. The geometry of trajectories within the dynamical landscape of “fast time” dynamics are shaped by the structure of a differential equation and its connectivity parameters, which themselves evolve over “slow time” driven by state-dependent and state-independent plasticity mechanisms. Finally, the adjustment of plasticity processes (metaplasticity) takes place in an “ultraslow” time scale. Psychedelics flatten the neural landscape, leading to heightened entropy and complexity of neural dynamics, as observed in neuroimaging and modeling studies linking increases in complexity with a disruption of functional integration. We highlight the relationship between criticality, the complexity of fast neural dynamics, and synaptic plasticity. Pathological, rigid, or “canalized” neural dynamics result in an ultrastable confined repertoire, allowing slower plastic changes to consolidate them further. However, under the influence of psychedelics, the destabilizing emergence of complex dynamics leads to a more fluid and adaptable neural state in a process that is amplified by the plasticity-enhancing effects of psychedelics. This shift manifests as an acute systemic increase of disorder and a possibly longer-lasting increase in complexity affecting both short-term dynamics and long-term plastic processes. Our framework offers a holistic perspective on the acute effects of these substances and their potential long-term impacts on neural structure and function.
Citations in the library
Cited by 10
- The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework. National Science Review May 1, 2024
- The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder Entropy November 6, 2024
- Restoring Oscillatory Dynamics in Alzheimer’s Disease: A Laminar Whole-Brain Model of Serotonergic Psychedelic Effects bioRxiv (Cold Spring Harbor Laboratory) December 16, 2024
- Structured Dynamics in the Algorithmic Agent. Entropy (Basel, Switzerland) January 19, 2025
- A dual-receptor model of serotonergic psychedelics bioRxiv (Cold Spring Harbor Laboratory) April 15, 2024
and 5 more in the library
Cites 44
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- The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs Frontiers in Human Neuroscience 2014
- Neural correlates of the psychedelic state as determined by fMRI studies with psilocybin Proceedings of the National Academy of Sciences January 23, 2012
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- Neural correlates of the LSD experience revealed by multimodal neuroimaging. Proceedings of the National Academy of Sciences April 11, 2016
and 39 more in the library