Non-local Schrödinger diffusion model reveals mechanisms of critical brain dynamics
Time-efficient computation is essential for survival. It has been proposed that this is made possible through the principle of criticality amplified by the rare long-range connections found in the brain's unique anatomical structure, which together provide the necessary non-local, distribut...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/72692 |
| Acesso em linha: | https://hdl.handle.net/10230/72692 http://dx.doi.org/10.1016/j.xcrp.2025.102663 |
| Access Level: | acceso abierto |
| Palavra-chave: | Schrödinger, Equació de Cervell -- Investigació Informàtica tova |
| Resumo: | Time-efficient computation is essential for survival. It has been proposed that this is made possible through the principle of criticality amplified by the rare long-range connections found in the brain's unique anatomical structure, which together provide the necessary non-local, distributed computation. Here, we directly tested this hypothesis by building a non-local, diffusion whole-brain model using the mathematical structure of Schrödinger's equation to capture non-local/long-range brain dynamics. We tested this non-local diffusion model against a conventional state-of-the-art local diffusion model in large-scale empirical neuroimaging data from over 1,000 healthy human participants and found the non-local model performed significantly better at capturing the brain dynamics. Overall, these results demonstrate that the non-locality of Schrödinger's equation is excellent for revealing the necessary non-local (but non-quantum) properties of the human brain. |
|---|