Differences in the critical dynamics underlying the human and fruit-fly connectome

Previous simulation studies on human connectomes suggested that critical dynamics emerge subcritically in the so-called Griffiths phases. Now we investigate this on the largest available brain network, the 21662 node fruit-fly connectome, using the Kuramoto synchronization model. As this graph is le...

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Main Authors: Géza Ódor, Gustavo Deco, Jeffrey Kelling
Format: Article
Language:English
Published: American Physical Society 2022-04-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.023057
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author Géza Ódor
Gustavo Deco
Jeffrey Kelling
author_facet Géza Ódor
Gustavo Deco
Jeffrey Kelling
author_sort Géza Ódor
collection DOAJ
description Previous simulation studies on human connectomes suggested that critical dynamics emerge subcritically in the so-called Griffiths phases. Now we investigate this on the largest available brain network, the 21662 node fruit-fly connectome, using the Kuramoto synchronization model. As this graph is less heterogeneous, lacking modular structure and exhibiting high topological dimension, we expect a difference from the previous results. Indeed, the synchronization transition is mean-field-like, and the width of the transition region is larger than in random graphs, but much smaller than as for the KKI-18 human connectome. This demonstrates the effect of modular structure and dimension on the dynamics, providing a basis for better understanding the complex critical dynamics of humans.
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spelling doaj.art-b7b69b9b7ad844d59f1d0baac617d89d2024-04-12T17:20:05ZengAmerican Physical SocietyPhysical Review Research2643-15642022-04-014202305710.1103/PhysRevResearch.4.023057Differences in the critical dynamics underlying the human and fruit-fly connectomeGéza ÓdorGustavo DecoJeffrey KellingPrevious simulation studies on human connectomes suggested that critical dynamics emerge subcritically in the so-called Griffiths phases. Now we investigate this on the largest available brain network, the 21662 node fruit-fly connectome, using the Kuramoto synchronization model. As this graph is less heterogeneous, lacking modular structure and exhibiting high topological dimension, we expect a difference from the previous results. Indeed, the synchronization transition is mean-field-like, and the width of the transition region is larger than in random graphs, but much smaller than as for the KKI-18 human connectome. This demonstrates the effect of modular structure and dimension on the dynamics, providing a basis for better understanding the complex critical dynamics of humans.http://doi.org/10.1103/PhysRevResearch.4.023057
spellingShingle Géza Ódor
Gustavo Deco
Jeffrey Kelling
Differences in the critical dynamics underlying the human and fruit-fly connectome
Physical Review Research
title Differences in the critical dynamics underlying the human and fruit-fly connectome
title_full Differences in the critical dynamics underlying the human and fruit-fly connectome
title_fullStr Differences in the critical dynamics underlying the human and fruit-fly connectome
title_full_unstemmed Differences in the critical dynamics underlying the human and fruit-fly connectome
title_short Differences in the critical dynamics underlying the human and fruit-fly connectome
title_sort differences in the critical dynamics underlying the human and fruit fly connectome
url http://doi.org/10.1103/PhysRevResearch.4.023057
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