On the scaling properties of oscillatory modes with balanced energy.

Frontiers in network physiology Pub Date : 2022-11-08 eCollection Date: 2022-01-01 DOI:10.3389/fnetp.2022.974373
Dobromir G Dotov
{"title":"On the scaling properties of oscillatory modes with balanced energy.","authors":"Dobromir G Dotov","doi":"10.3389/fnetp.2022.974373","DOIUrl":null,"url":null,"abstract":"<p><p>Animal bodies maintain themselves with the help of networks of physiological processes operating over a wide range of timescales. Many physiological signals are characterized by 1/<i>f</i> scaling where the amplitude is inversely proportional to frequency, presumably reflecting the multi-scale nature of the underlying network. Although there are many general theories of such scaling, it is less clear how they are grounded on the specific constraints faced by biological systems. To help understand the nature of this phenomenon, we propose to pay attention not only to the geometry of scaling processes but also to their energy. The first key assumption is that physiological action modes constitute thermodynamic work cycles. This is formalized in terms of a theoretically defined oscillator with dissipation and energy-pumping terms. The second assumption is that the energy levels of the physiological action modes are balanced on average to enable flexible switching among them. These ideas were addressed with a modelling study. An ensemble of dissipative oscillators exhibited inverse scaling of amplitude and frequency when the individual oscillators' energies are held equal. Furthermore, such ensembles behaved like the Weierstrass function and reproduced the scaling phenomenon. Finally, the question is raised whether this kind of constraint applies both to broadband aperiodic signals and periodic, narrow-band oscillations such as those found in electrical cortical activity.</p>","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013049/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in network physiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fnetp.2022.974373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Animal bodies maintain themselves with the help of networks of physiological processes operating over a wide range of timescales. Many physiological signals are characterized by 1/f scaling where the amplitude is inversely proportional to frequency, presumably reflecting the multi-scale nature of the underlying network. Although there are many general theories of such scaling, it is less clear how they are grounded on the specific constraints faced by biological systems. To help understand the nature of this phenomenon, we propose to pay attention not only to the geometry of scaling processes but also to their energy. The first key assumption is that physiological action modes constitute thermodynamic work cycles. This is formalized in terms of a theoretically defined oscillator with dissipation and energy-pumping terms. The second assumption is that the energy levels of the physiological action modes are balanced on average to enable flexible switching among them. These ideas were addressed with a modelling study. An ensemble of dissipative oscillators exhibited inverse scaling of amplitude and frequency when the individual oscillators' energies are held equal. Furthermore, such ensembles behaved like the Weierstrass function and reproduced the scaling phenomenon. Finally, the question is raised whether this kind of constraint applies both to broadband aperiodic signals and periodic, narrow-band oscillations such as those found in electrical cortical activity.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
关于具有平衡能量的振荡模式的缩放特性。
动物机体在生理过程网络的帮助下维持自身的运行,这些生理过程的时间尺度范围很广。许多生理信号都具有 1/f 缩放的特点,即振幅与频率成反比,这大概反映了底层网络的多尺度性质。虽然有许多关于这种缩放的一般理论,但它们如何基于生物系统所面临的特定限制却不太清楚。为了帮助理解这一现象的本质,我们建议不仅要关注缩放过程的几何形状,还要关注其能量。第一个关键假设是生理作用模式构成热力学工作循环。这可以用理论上定义的振荡器与耗散和能量泵项来形式化。第二个假设是,生理作用模式的能量水平平均是平衡的,以便在它们之间灵活切换。针对这些想法进行了建模研究。当单个振荡器的能量相等时,耗散振荡器的集合表现出振幅和频率的反向缩放。此外,这种集合表现得像韦尔斯特拉斯函数(Weierstrass function),并再现了缩放现象。最后,我们提出了这样一个问题:这种约束是否既适用于宽带非周期性信号,也适用于周期性窄带振荡(如皮层电活动中的振荡)。
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 去求助
来源期刊
CiteScore
2.70
自引率
0.00%
发文量
0
期刊最新文献
A statistical analysis method for probability distributions in Erdös-Rényi random networks with preferential cutting-rewiring operation. On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology. Exploring the origins of switching dynamics in a multifunctional reservoir computer. Native mechano-regulative matrix properties stabilize alternans dynamics and reduce spiral wave stabilization in cardiac tissue. Connectivity of high-frequency bursts as SOZ localization biomarker.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1