Synchronization stability of epileptic brain network with higher-order interactions

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

Generally, epilepsy is considered as abnormally enhanced neuronal excitability and synchronization. So far, previous studies on the synchronization of epileptic brain networks mainly focused strength, but stability has not yet been explored deserved. In this paper, we propose a novel idea to construct hypergraph network (HGBN) based phase Furthermore, apply framework nonlinear coupled oscillation dynamic model (generalized Kuramoto model) investigate HGBNs patients. Specifically, quantified by calculating eigenvalue spectrum higher-order Laplacian matrix in HGBN. Results show that decreased slightly early stages seizure increased significantly prior termination. This indicates an emergency self-regulation mechanism may facilitate termination seizures. Moreover, variation during seizures be induced topological changes epileptogenic zones (EZs) Finally, verify interactions improve study proves validity with dynamical HGBN, emphasizing importance influence EZs

Язык: Английский

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Modelling multiscale infectious disease in complex systems

Physics Reports, Год журнала: 2025, Номер 1113, С. 1 - 57

Опубликована: Фев. 11, 2025

Язык: Английский

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Inverse optimal pinning synchronization control for higher-order networks on multi-directed hypergraphs

Chaos Solitons & Fractals, Год журнала: 2025, Номер 199, С. 116593 - 116593

Опубликована: Июнь 2, 2025

Язык: Английский

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A new criterion for optimizing synchrony of coupled oscillators

Chaos Solitons & Fractals, Год журнала: 2023, Номер 168, С. 113192 - 113192

Опубликована: Фев. 6, 2023

Язык: Английский

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Cooperation and synchronization in evolutionary opinion changing rate games

Chaos Solitons & Fractals, Год журнала: 2023, Номер 172, С. 113563 - 113563

Опубликована: Май 29, 2023

Язык: Английский

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Robustness of directed higher-order networks

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(8)

Опубликована: Авг. 1, 2023

In complex systems, from human social networks to biological networks, pairwise interactions are insufficient express the directed in higher-order since internal function is not only contained but rather interactions. Therefore, researchers adopted encode multinode explicitly and revealed that induced rich critical phenomena. However, robustness of has yet receive much attention. Here, we propose a theoretical percolation model analyze networks. We study size giant connected components threshold our proposed by theory Monte-Carlo simulations on artificial real-world find affected inherent properties including heterogeneity hyperdegree distribution hyperedge cardinality, which represents number nodes hyperedge. Increasing or cardinality will make network more vulnerable, weakening network's robustness. other words, adding edges enhances systems. Our can reasonably predict for

Язык: Английский

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Analysis of the optimal target node to reduce seizure-like discharge in networks

Chinese Physics B, Год журнала: 2024, Номер 33(5), С. 058703 - 058703

Опубликована: Март 13, 2024

Network approaches have been widely accepted to guide surgical strategy and predict outcome for epilepsy treatment. This study starts with a single oscillator explore brain activity, using phenomenological model capable of describing healthy epileptic states. The ictal number seizures decreases or remains unchanged increasing the speed excitability in each seizure, there is an tendency duration respect speed. underlying reason that strong conducive reduce transition behaviors between two attractor basins. Moreover, selection optimal removal node estimated by indicator proposed this study. Results show when less than threshold, removing driving more possible significantly, while exceeds could be one. Furthermore, such potential target stimulating it obviously effective suppressing seizure-like activity compared other nodes, propensity can reduced 60% increased stimulus strength. Our results provide new therapeutic ideas surgery neuromodulation.

Язык: Английский

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The complementary contribution of each order topology into the synchronization of multi-order networks

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(11)

Опубликована: Ноя. 1, 2023

Higher-order interactions improve our capability to model real-world complex systems ranging from physics and neuroscience economics social sciences. There is great interest nowadays in understanding the contribution of higher-order terms collective behavior network. In this work, we investigate stability complete synchronization networks with structures. We demonstrate that level a network composed nodes interacting simultaneously via multiple orders maintained regardless intensity coupling strength across different orders. articulate lower-order topologies work together complementarily provide optimal stable configuration, challenging previous conclusions promote synchronization. Furthermore, find simply adding based on existing connections, as simple complexes, does not have significant impact The universal applicability lies comprehensive analysis topologies, including hypergraphs simplicial utilization appropriate rescaling assess stability.

Язык: Английский

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Detecting network communities via greedy expanding based on local superiority index

Physica A Statistical Mechanics and its Applications, Год журнала: 2022, Номер 603, С. 127722 - 127722

Опубликована: Июнь 16, 2022

Язык: Английский

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Entrainment range affected by the second-order interactions between coupled neuron oscillators in the suprachiasmatic nucleus

Chaos Solitons & Fractals, Год журнала: 2023, Номер 175, С. 114051 - 114051

Опубликована: Сен. 19, 2023

Язык: Английский

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