Novel perturbation mechanism underlying the network fragility evolution

IF 1.8 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

EPL Pub Date : 2023-11-14 DOI:10.1209/0295-5075/ad0c6e

Songan Hou, Denggui Fan, Qingyun Wang

{"title":"Novel perturbation mechanism underlying the network fragility evolution","authors":"Songan Hou, Denggui Fan, Qingyun Wang","doi":"10.1209/0295-5075/ad0c6e","DOIUrl":null,"url":null,"abstract":"Abstract Studies have shown that fragility is an effective marker for seizures and seizure onset zone (SOZ). Through analysis and simulation of a probabilistic neural network under different inputs, the regularization mechanism of external input perturbations on the fragility is explored. It is theoretically found that the fragility of a perturbed node within seizure network is inversely associated with the received perturbation input, while the fragility of the other unperturbed nodes always oppositely changes with this perturbed node. By terming the node with high fragility as the fragile node (FN), it is interestingly shown that the FN would evolve to the node with the smallest input. Then, the network fragility is further investigated. Results show that the non-uniform perturbation inputs can more easily impact the network fragility. In addition, noise-induced variations of network connection can degrade the network fragility to some extent. Finally, the real data from patient with epilepsy has verified the universality of the above obtained findings. These results may provide possible insights into stimulation strategies for seizure control in clinic.","PeriodicalId":11738,"journal":{"name":"EPL","volume":"21 9","pages":"0"},"PeriodicalIF":1.8000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1209/0295-5075/ad0c6e","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Abstract Studies have shown that fragility is an effective marker for seizures and seizure onset zone (SOZ). Through analysis and simulation of a probabilistic neural network under different inputs, the regularization mechanism of external input perturbations on the fragility is explored. It is theoretically found that the fragility of a perturbed node within seizure network is inversely associated with the received perturbation input, while the fragility of the other unperturbed nodes always oppositely changes with this perturbed node. By terming the node with high fragility as the fragile node (FN), it is interestingly shown that the FN would evolve to the node with the smallest input. Then, the network fragility is further investigated. Results show that the non-uniform perturbation inputs can more easily impact the network fragility. In addition, noise-induced variations of network connection can degrade the network fragility to some extent. Finally, the real data from patient with epilepsy has verified the universality of the above obtained findings. These results may provide possible insights into stimulation strategies for seizure control in clinic.

查看原文本刊更多论文

网络脆弱性演化的新扰动机制

研究表明，脆性是癫痫发作和癫痫发作区(SOZ)的有效标志。通过对不同输入条件下的概率神经网络进行分析和仿真，探讨了外部输入扰动对易损性的正则化机制。从理论上发现，癫痫发作网络中受扰节点的脆性与接收到的扰动输入呈负相关，而其他未受扰节点的脆性总是与该受扰节点相反变化。通过将脆弱度高的节点称为脆弱节点(FN)，有趣的是FN会向输入最小的节点进化。然后，进一步研究了网络脆弱性。结果表明，非均匀扰动输入更容易影响网络的脆弱性。此外，噪声引起的网络连接变化会在一定程度上降低网络的脆弱性。最后，通过癫痫患者的真实数据验证了上述发现的普遍性。这些结果可能为临床控制癫痫发作的刺激策略提供可能的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

EPL 物理-物理：综合

CiteScore

3.30

自引率

5.60%

发文量

332

审稿时长

1.9 months

期刊介绍： General physics – physics of elementary particles and fields – nuclear physics – atomic, molecular and optical physics – classical areas of phenomenology – physics of gases, plasmas and electrical discharges – condensed matter – cross-disciplinary physics and related areas of science and technology. Letters submitted to EPL should contain new results, ideas, concepts, experimental methods, theoretical treatments, including those with application potential and be of broad interest and importance to one or several sections of the physics community. The presentation should satisfy the specialist, yet remain understandable to the researchers in other fields through a suitable, clearly written introduction and conclusion (if appropriate). EPL also publishes Comments on Letters previously published in the Journal.