Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators

被引：4

作者：

Perl, Yonatan Sanz ^{[1
,2
,3
,4
]}

Mininni, Pablo ^{[5
,6
]}

Tagliazucchi, Enzo ^{[5
,6
,7
]}

Kringelbach, Morten L. ^{[8
,9
,10
,11
]}

Deco, Gustavo ^{[3
,12
,13
]}

机构：

[1] Consejo Nacl Invest Cient & Tecn CONICET, Mendoza, Argentina

[2] Univ San Andres, Cognit Neurosci Ctr CNC, Buenos Aires, Argentina

[3] Univ Pompeu Fabra, Ctr Brain & Cognit, Computat Neurosci Grp, Barcelona, Spain

[4] Paris Brain Inst ICM, Paris, France

[5] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Fis, RA-1428 Buenos Aires, Argentina

[6] Univ Buenos Aires, CONICET, Inst Fis Interdisciplinaria & Aplicada INFINA, Buenos Aires, Argentina

[7] Univ Adolfo Ibanez, Latin Amer Brain Hlth Inst BrainLat, Santiago, Chile

[8] Univ Oxford, Dept Psychiat, Oxford, England

[9] Aarhus Univ, Ctr Mus Brain, Dept Clin Med, Aarhus, Denmark

[10] Univ Minho, Life & Hlth Sci Res Inst ICVS, Sch Med, Braga, Portugal

[11] Univ Oxford, Ctr Eudaimonia & Human Flourishing, Oxford, England

[12] Univ Pompeu Fabra, Dept Informat & Commun Technol, Barcelona, Spain

[13] Inst Catalana Recerca Estudis Avancats ICREA, Barcelona, Spain

来源：

PHYSICAL REVIEW RESEARCH | 2023年 / 5卷 / 03期

基金：

欧盟地平线“2020”;

关键词：

CONNECTOME; CRITICALITY; MODELS; FMRI;

D O I：

10.1103/PhysRevResearch.5.033183

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We 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.

引用

页数：9

共 51 条

[1] Cascades and transitions in turbulent flows [J].