Sanz Perl, YonatanMininni, PabloTagliazucchi, EnzoKringelbach, Morten L.Deco, Gustavo2025-04-282025-04-282023Sanz Y, Mininni P, Tagliazucchi E, Kringelbach ML, Deco G. Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators. Phys Rev Res. 2023 Sep 12;5(3):033183. DOI: 10.1103/PhysRevResearch.5.0331832643-1564http://hdl.handle.net/10230/70217We investigate how brain activity can be supported by a turbulent regime based on the deviations of a self-similar scaling of high-order structure functions within the phenomenological Kolmogorov's theory. By analyzing a large neuroimaging data set, we establish the relationship between scaling exponents and their order, showing that brain activity has more than one invariant scale, and thus orders higher than 2 are needed to accurately describe its underlying statistical properties. Furthermore, we build whole-brain models of coupled oscillators to show that high-order information allows for a better description of the brain's empirical information transmission and reactivity.application/pdfengPublished by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Kolmogorov-Arnold-Moser, Teoria deCervellNeurociènciesScaling of whole-brain dynamics reproduced by high-order moments of turbulence indicatorsinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1103/PhysRevResearch.5.033183info:eu-repo/semantics/openAccess