Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2023-09-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.5.033183 |
| _version_ | 1797210399265783808 |
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| author | Yonatan Sanz Perl Pablo Mininni Enzo Tagliazucchi Morten L. Kringelbach Gustavo Deco |
| author_facet | Yonatan Sanz Perl Pablo Mininni Enzo Tagliazucchi Morten L. Kringelbach Gustavo Deco |
| author_sort | Yonatan Sanz Perl |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T10:09:58Z |
| format | Article |
| id | doaj.art-bfb9b80988ac4f09bb2f68ba3b760f13 |
| institution | Directory Open Access Journal |
| issn | 2643-1564 |
| language | English |
| last_indexed | 2024-04-24T10:09:58Z |
| publishDate | 2023-09-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj.art-bfb9b80988ac4f09bb2f68ba3b760f132024-04-12T17:34:01ZengAmerican Physical SocietyPhysical Review Research2643-15642023-09-015303318310.1103/PhysRevResearch.5.033183Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicatorsYonatan Sanz PerlPablo MininniEnzo TagliazucchiMorten L. KringelbachGustavo DecoWe 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.http://doi.org/10.1103/PhysRevResearch.5.033183 |
| spellingShingle | Yonatan Sanz Perl Pablo Mininni Enzo Tagliazucchi Morten L. Kringelbach Gustavo Deco Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators Physical Review Research |
| title | Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators |
| title_full | Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators |
| title_fullStr | Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators |
| title_full_unstemmed | Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators |
| title_short | Scaling of whole-brain dynamics reproduced by high-order moments of turbulence indicators |
| title_sort | scaling of whole brain dynamics reproduced by high order moments of turbulence indicators |
| url | http://doi.org/10.1103/PhysRevResearch.5.033183 |
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