Non-local Schrödinger diffusion model reveals mechanisms of critical brain dynamics | ||
| dc.conicet.fuente | Crossref | |
| dc.conicet.organizacion | Universitat Pompeu Fabra | |
| dc.conicet.organizacion | Universidad de San Andrés | |
| dc.conicet.organizacion | Consejo Nacional de Investigaciones Científicas y Técnicas | |
| dc.conicet.organizacion | University of Oxford | |
| dc.conicet.paisOrganizacion | España | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Reino Unido | |
| dc.conicet.produccionid | 13162666 | |
| dc.contributor.author | Deco, Gustavo | |
| dc.contributor.author | Sanz Perl Hernandez, Yonatan | |
| dc.contributor.author | Kringelbach, Morten L. | |
| dc.date.accessioned | 2026-08-14T13:33:57Z | |
| dc.date.available | 2026-08-14T13:33:57Z | |
| dc.date.issued | 2025-07 | |
| dc.date.updated | 2026-08-13T14:16:58Z | |
| dc.description.abstract | Time-efficient computation is essential for survival. It has been proposed that this is made possible throughthe principle of criticality amplified by the rare long-range connections found in the brain’s unique anatomicalstructure, which together provide the necessary non-local, distributed computation. Here, we directly testedthis hypothesis by building a non-local, diffusion whole-brain model using the mathematical structure ofSchro¨ dinger’s equation to capture non-local/long-range brain dynamics. We tested this non-local diffusionmodel against a conventional state-of-the-art local diffusion model in large-scale empirical neuroimagingdata from over 1,000 healthy human participants and found the non-local model performed significantly betterat capturing the brain dynamics. Overall, these results demonstrate that the non-locality of Schro¨ dinger’sequation is excellent for revealing the necessary non-local (but non-quantum) properties of the human brain. | es |
| dc.description.fil | Fil: Deco, Gustavo. Universitat Pompeu Fabra; España | |
| dc.description.fil | Fil: Sanz Perl Hernandez, Yonatan. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | |
| dc.description.fil | Fil: Kringelbach, Morten L.. University of Oxford; Reino Unido | |
| dc.format | application/pdf | es |
| dc.identifier.citation | Deco, Gustavo; Sanz Perl Hernandez, Yonatan; Kringelbach, Morten L.; Non-local Schrödinger diffusion model reveals mechanisms of critical brain dynamics; Cell Press; Cell Reports Physical Science; 6; 7; 7-2025; 1-11 | es |
| dc.identifier.institucional | CONICET | |
| dc.identifier.issn | 2666-3864 | es |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/294692 | |
| dc.journal.number | 7 | es |
| dc.journal.pagination | 1-11 | es |
| dc.journal.pais | Estados Unidos | es |
| dc.journal.title | Cell Reports Physical Science | es |
| dc.journal.volume | 6 | es |
| dc.language.iso | eng | es |
| dc.publisher | Cell Press | es |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2666386425002620 | |
| dc.relation.alternativeid | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.xcrp.2025.102663 | |
| dc.rights | info:eu-repo/semantics/openAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/2.5/ar/ | * |
| dc.subject | Whole-brain dynamics | es |
| dc.subject | diffusion models | es |
| dc.subject | Complex harmonics | es |
| dc.subject | Schodinger equation | es |
| dc.subject.classification | Otras Ciencias Físicas | es |
| dc.subject.classification | Ciencias Físicas | es |
| dc.subject.classification | CIENCIAS NATURALES Y EXACTAS | es |
| dc.title | Non-local Schrödinger diffusion model reveals mechanisms of critical brain dynamics | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
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