首页 > 最新文献

Frontiers in network physiology最新文献

英文 中文
Editorial: Network of pain signaling: from ion channels to brain. 社论:痛觉信号网络:从离子通道到大脑。
Pub Date : 2023-11-07 eCollection Date: 2023-01-01 DOI: 10.3389/fnetp.2023.1297536
Ekaterina Kutafina, Susanne Becker, Barbara Namer
{"title":"Editorial: Network of pain signaling: from ion channels to brain.","authors":"Ekaterina Kutafina, Susanne Becker, Barbara Namer","doi":"10.3389/fnetp.2023.1297536","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1297536","url":null,"abstract":"","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"3 ","pages":"1297536"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138464772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Full-lung simulations of mechanically ventilated lungs incorporating recruitment/derecruitment dynamics 机械通气肺的全肺模拟,包括招募/退出招募动力学
Pub Date : 2023-11-02 DOI: 10.3389/fnetp.2023.1257710
Haoran Ma, Hideki Fujioka, David Halpern, Jason H. T. Bates, Donald P. Gaver
This study developed and investigated a comprehensive multiscale computational model of a mechanically ventilated ARDS lung to elucidate the underlying mechanisms contributing to the development or prevention of VILI. This model is built upon a healthy lung model that incorporates realistic airway and alveolar geometry, tissue distensibility, and surfactant dynamics. Key features of the ARDS model include recruitment and derecruitment (RD) dynamics, alveolar tissue viscoelasticity, and surfactant deficiency. This model successfully reproduces realistic pressure-volume (PV) behavior, dynamic surface tension, and time-dependent descriptions of RD events as a function of the ventilation scenario. Simulations of Time-Controlled Adaptive Ventilation (TCAV) modes, with short and long durations of exhalation ( T Low - and T Low + , respectively), reveal a higher incidence of RD for T Low + despite reduced surface tensions due to interfacial compression. This finding aligns with experimental evidence emphasizing the critical role of timing in protective ventilation strategies. Quantitative analysis of energy dissipation indicates that while alveolar recruitment contributes only a small fraction of total energy dissipation, its spatial concentration and brief duration may significantly contribute to VILI progression due to its focal nature and higher intensity. Leveraging the computational framework, the model may be extended to facilitate the development of personalized protective ventilation strategies to enhance patient outcomes. As such, this computational modeling approach offers valuable insights into the complex dynamics of VILI that may guide the optimization of ventilation strategies in ARDS management.
本研究开发并研究了机械通气ARDS肺的综合多尺度计算模型,以阐明促进VILI发展或预防的潜在机制。这个模型是建立在一个健康的肺模型,结合现实的气道和肺泡几何形状,组织扩张性和表面活性剂动力学。ARDS模型的主要特征包括再招募和再招募(RD)动力学、肺泡组织粘弹性和表面活性剂缺乏。该模型成功地再现了真实的压力-体积(PV)行为、动态表面张力和随时间变化的RD事件描述,作为通风场景的函数。时间控制自适应通气(TCAV)模式的模拟显示,在短时间和长时间呼气(分别为T Low -和T Low +)的情况下,尽管由于界面压缩导致表面张力降低,但T Low +的RD发生率更高。这一发现与强调时间在保护性通气策略中的关键作用的实验证据相一致。能量耗散的定量分析表明,虽然肺泡补充只占总能量耗散的一小部分,但由于其聚焦性和较高的强度,其空间集中和持续时间短可能显著促进VILI的进展。利用计算框架,该模型可以扩展,以促进个性化保护性通气策略的发展,以提高患者的预后。因此,这种计算建模方法为VILI的复杂动力学提供了有价值的见解,可以指导ARDS管理中通气策略的优化。
{"title":"Full-lung simulations of mechanically ventilated lungs incorporating recruitment/derecruitment dynamics","authors":"Haoran Ma, Hideki Fujioka, David Halpern, Jason H. T. Bates, Donald P. Gaver","doi":"10.3389/fnetp.2023.1257710","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1257710","url":null,"abstract":"This study developed and investigated a comprehensive multiscale computational model of a mechanically ventilated ARDS lung to elucidate the underlying mechanisms contributing to the development or prevention of VILI. This model is built upon a healthy lung model that incorporates realistic airway and alveolar geometry, tissue distensibility, and surfactant dynamics. Key features of the ARDS model include recruitment and derecruitment (RD) dynamics, alveolar tissue viscoelasticity, and surfactant deficiency. This model successfully reproduces realistic pressure-volume (PV) behavior, dynamic surface tension, and time-dependent descriptions of RD events as a function of the ventilation scenario. Simulations of Time-Controlled Adaptive Ventilation (TCAV) modes, with short and long durations of exhalation ( T Low - and T Low + , respectively), reveal a higher incidence of RD for T Low + despite reduced surface tensions due to interfacial compression. This finding aligns with experimental evidence emphasizing the critical role of timing in protective ventilation strategies. Quantitative analysis of energy dissipation indicates that while alveolar recruitment contributes only a small fraction of total energy dissipation, its spatial concentration and brief duration may significantly contribute to VILI progression due to its focal nature and higher intensity. Leveraging the computational framework, the model may be extended to facilitate the development of personalized protective ventilation strategies to enhance patient outcomes. As such, this computational modeling approach offers valuable insights into the complex dynamics of VILI that may guide the optimization of ventilation strategies in ARDS management.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"30 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135974837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
What networks in the brain system sustain imagination? 大脑系统中的哪些网络维持想象力?
Pub Date : 2023-11-01 DOI: 10.3389/fnetp.2023.1294866
Riccardo Fesce, Roberto Gatti
The brain cannot stop elaborating information. While the circuitries implied in processing sensory information, and those involved in programming and producing movements, have been extensively studied and characterized, what circuits elicit and sustain the endogenous activity (which might be referred to as imaginative activity) has not been clarified to a similar extent. The two areas which have been investigated most intensely are visual and motor imagery. Visual imagery mostly involves the same areas as visual processing and has been studied by having the subject face specific visual imagery tasks that are related to the use of the visual sketchpad as a component of the working memory system. Much less is known about spontaneous, free visual imagination, what circuits drive it, how and why. Motor imagery has been studied with several approaches: the neural circuits activated in the brain during performance of a movement have been compared with those involved in visually or kinaesthetically imagining performing the same movement, or in observing another person performing it. Some networks are similarly activated in these situations, although primary motor neurons are only activated during motor execution. Imagining the execution of an action seems unable to activate circuits involved in eliciting accompanying motor adjustments (such as postural adaptations) that are unconsciously (implicitly) associated to the execution of the movement. A more faithful neuronal activation is obtained through kinaesthetic motor imagination—imagining how it feels to perform the movement. Activation of sensory-motor and mirror systems, elicited by observing another person performing a transitive action, can also recruit circuits that sustain implicit motor responses that normally accompany the overt movement. This last aspect has originated the expanding and promising field of action observation therapy (AOT). The fact that the various kinds of motor imagery differentially involve the various brain networks may offer some hints on what neural networks sustain imagery in general, another activity that has an attentive component—recalling a memory, covertly rehearsing a speech, internally replaying a behaviour—and a vague, implicit component that arises from the freely flowing surfacing of internal images, not driven by intentional, conscious control.
大脑无法停止对信息的提炼。虽然在处理感觉信息中隐含的回路,以及那些涉及编程和产生运动的回路,已经被广泛研究和表征,但哪些回路引发和维持内源性活动(可能被称为想象活动)还没有得到类似程度的澄清。研究最深入的两个领域是视觉意象和运动意象。视觉意象主要涉及与视觉处理相同的区域,并且通过让受试者面对特定的视觉意象任务来研究,这些任务与使用视觉素描板作为工作记忆系统的一个组成部分有关。对于自发的、自由的视觉想象,是什么回路驱动它,如何驱动以及为什么驱动,我们所知甚少。运动意象已经用几种方法进行了研究:在进行一个动作时,大脑中激活的神经回路与在视觉上或动觉上想象进行相同动作或观察另一个人进行该动作时的神经回路进行了比较。尽管初级运动神经元只在运动执行时被激活,但在这些情况下,一些网络也同样被激活。想象一个动作的执行似乎无法激活涉及引发伴随运动调整(如姿势适应)的电路,这些运动调整是无意识地(隐含地)与动作的执行相关的。更可靠的神经元激活是通过动觉运动想象获得的——想象执行运动的感觉。通过观察另一个人执行传递动作而引起的感觉-运动和镜像系统的激活,也可以招募维持通常伴随显性运动的内隐运动反应的电路。最后一个方面开创了行动观察疗法(AOT)这一不断发展和前景广阔的领域。不同类型的运动意象不同地涉及不同的大脑网络,这一事实可能会给我们提供一些提示,告诉我们一般来说是什么神经网络维持着意象,另一种活动有一个专注的成分——回忆记忆、秘密地排练演讲、在内心重放行为——以及一个模糊的、隐含的成分,它来自于内部意象的自由流动表面,而不是由有意的、有意识的控制驱动。
{"title":"What networks in the brain system sustain imagination?","authors":"Riccardo Fesce, Roberto Gatti","doi":"10.3389/fnetp.2023.1294866","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1294866","url":null,"abstract":"The brain cannot stop elaborating information. While the circuitries implied in processing sensory information, and those involved in programming and producing movements, have been extensively studied and characterized, what circuits elicit and sustain the endogenous activity (which might be referred to as imaginative activity) has not been clarified to a similar extent. The two areas which have been investigated most intensely are visual and motor imagery. Visual imagery mostly involves the same areas as visual processing and has been studied by having the subject face specific visual imagery tasks that are related to the use of the visual sketchpad as a component of the working memory system. Much less is known about spontaneous, free visual imagination, what circuits drive it, how and why. Motor imagery has been studied with several approaches: the neural circuits activated in the brain during performance of a movement have been compared with those involved in visually or kinaesthetically imagining performing the same movement, or in observing another person performing it. Some networks are similarly activated in these situations, although primary motor neurons are only activated during motor execution. Imagining the execution of an action seems unable to activate circuits involved in eliciting accompanying motor adjustments (such as postural adaptations) that are unconsciously (implicitly) associated to the execution of the movement. A more faithful neuronal activation is obtained through kinaesthetic motor imagination—imagining how it feels to perform the movement. Activation of sensory-motor and mirror systems, elicited by observing another person performing a transitive action, can also recruit circuits that sustain implicit motor responses that normally accompany the overt movement. This last aspect has originated the expanding and promising field of action observation therapy (AOT). The fact that the various kinds of motor imagery differentially involve the various brain networks may offer some hints on what neural networks sustain imagery in general, another activity that has an attentive component—recalling a memory, covertly rehearsing a speech, internally replaying a behaviour—and a vague, implicit component that arises from the freely flowing surfacing of internal images, not driven by intentional, conscious control.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"36 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The geometry of synchronization: quantifying the coupling direction of physiological signals of stress between individuals using inter-system recurrence networks 同步的几何:用系统间递归网络量化个体间应激生理信号的耦合方向
Pub Date : 2023-11-01 DOI: 10.3389/fnetp.2023.1289983
Fred Hasselman, Luciënne den Uil, Renske Koordeman, Peter de Looff, Roy Otten
In the study of synchronization dynamics between interacting systems, several techniques are available to estimate coupling strength and coupling direction. Currently, there is no general ‘best’ method that will perform well in most contexts. Inter-system recurrence networks (IRN) combine auto-recurrence and cross-recurrence matrices to create a graph that represents interacting networks. The method is appealing because it is based on cross-recurrence quantification analysis, a well-developed method for studying synchronization between 2 systems, which can be expanded in the IRN framework to include N > 2 interacting networks. In this study we examine whether IRN can be used to analyze coupling dynamics between physiological variables (acceleration, blood volume pressure, electrodermal activity, heart rate and skin temperature) observed in a client in residential care with severe to profound intellectual disabilities (SPID) and their professional caregiver. Based on the cross-clustering coefficients of the IRN conclusions about the coupling direction (client or caregiver drives the interaction) can be drawn, however, deciding between bi-directional coupling or no coupling remains a challenge. Constructing the full IRN, based on the multivariate time series of five coupled processes, reveals the existence of potential feedback loops. Further study is needed to be able to determine dynamics of coupling between the different layers.
在相互作用系统之间的同步动力学研究中,有几种技术可以用来估计耦合强度和耦合方向。目前,没有一种通用的“最佳”方法可以在大多数情况下表现良好。系统间递归网络(IRN)结合自递归矩阵和交叉递归矩阵来创建一个表示交互网络的图。该方法很有吸引力,因为它基于交叉递归量化分析,这是一种研究两个系统之间同步的成熟方法,可以在IRN框架中扩展到包括N >2相互作用的网络。在这项研究中,我们研究了IRN是否可以用于分析在重度到重度智力残疾(SPID)住院护理的客户及其专业护理人员中观察到的生理变量(加速度、血容量压、皮电活动、心率和皮肤温度)之间的耦合动力学。基于IRN的交叉聚类系数可以得出关于耦合方向(患者或护理者驱动交互)的结论,然而,决定是双向耦合还是不耦合仍然是一个挑战。基于五个耦合过程的多元时间序列构建完整的IRN,揭示了潜在反馈回路的存在。需要进一步的研究来确定不同层之间的耦合动力学。
{"title":"The geometry of synchronization: quantifying the coupling direction of physiological signals of stress between individuals using inter-system recurrence networks","authors":"Fred Hasselman, Luciënne den Uil, Renske Koordeman, Peter de Looff, Roy Otten","doi":"10.3389/fnetp.2023.1289983","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1289983","url":null,"abstract":"In the study of synchronization dynamics between interacting systems, several techniques are available to estimate coupling strength and coupling direction. Currently, there is no general ‘best’ method that will perform well in most contexts. Inter-system recurrence networks (IRN) combine auto-recurrence and cross-recurrence matrices to create a graph that represents interacting networks. The method is appealing because it is based on cross-recurrence quantification analysis, a well-developed method for studying synchronization between 2 systems, which can be expanded in the IRN framework to include N > 2 interacting networks. In this study we examine whether IRN can be used to analyze coupling dynamics between physiological variables (acceleration, blood volume pressure, electrodermal activity, heart rate and skin temperature) observed in a client in residential care with severe to profound intellectual disabilities (SPID) and their professional caregiver. Based on the cross-clustering coefficients of the IRN conclusions about the coupling direction (client or caregiver drives the interaction) can be drawn, however, deciding between bi-directional coupling or no coupling remains a challenge. Constructing the full IRN, based on the multivariate time series of five coupled processes, reveals the existence of potential feedback loops. Further study is needed to be able to determine dynamics of coupling between the different layers.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"141 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A guide to Whittle maximum likelihood estimator in MATLAB 惠特尔极大似然估计的MATLAB指南
Pub Date : 2023-10-31 DOI: 10.3389/fnetp.2023.1204757
Clément Roume
The assessment of physiological complexity via the estimation of monofractal exponents or multifractal spectra of biological signals is a recent field of research that allows detection of relevant and original information for health, learning, or autonomy preservation. This tutorial aims at introducing Whittle’s maximum likelihood estimator (MLE) that estimates the monofractal exponent of time series. After introducing Whittle’s maximum likelihood estimator and presenting each of the steps leading to the construction of the algorithm, this tutorial discusses the performance of this estimator by comparing it to the widely used detrended fluctuation analysis (DFA). The objective of this tutorial is to propose to the reader an alternative monofractal estimation method, which has the advantage of being simple to implement, and whose high accuracy allows the analysis of shorter time series than those classically used with other monofractal analysis methods.
通过估计生物信号的单分形指数或多重分形谱来评估生理复杂性是一个最近的研究领域,它允许检测健康、学习或自主保护的相关和原始信息。本教程旨在介绍估计时间序列单分形指数的Whittle最大似然估计器(MLE)。在介绍了Whittle的最大似然估计器并介绍了构造该算法的每个步骤之后,本教程通过将该估计器与广泛使用的去趋势波动分析(DFA)进行比较,讨论了该估计器的性能。本教程的目的是向读者提出一种可选的单分形估计方法,该方法具有易于实现的优点,并且其高精度允许分析比其他单分形分析方法经典使用的更短的时间序列。
{"title":"A guide to Whittle maximum likelihood estimator in MATLAB","authors":"Clément Roume","doi":"10.3389/fnetp.2023.1204757","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1204757","url":null,"abstract":"The assessment of physiological complexity via the estimation of monofractal exponents or multifractal spectra of biological signals is a recent field of research that allows detection of relevant and original information for health, learning, or autonomy preservation. This tutorial aims at introducing Whittle’s maximum likelihood estimator (MLE) that estimates the monofractal exponent of time series. After introducing Whittle’s maximum likelihood estimator and presenting each of the steps leading to the construction of the algorithm, this tutorial discusses the performance of this estimator by comparing it to the widely used detrended fluctuation analysis (DFA). The objective of this tutorial is to propose to the reader an alternative monofractal estimation method, which has the advantage of being simple to implement, and whose high accuracy allows the analysis of shorter time series than those classically used with other monofractal analysis methods.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"51 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135864001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cardiorespiratory dynamics during respiratory maneuver in athletes 运动员呼吸运动时的心肺动力学
Pub Date : 2023-10-30 DOI: 10.3389/fnetp.2023.1276899
Oleksandr Romanchuk
Introduction: The modern practice of sports medicine and medical rehabilitation requires the search for subtle criteria for the development of conditions and recovery of the body after diseases, which would have a prognostic value for the prevention of negative effects of training and rehabilitation tools, and also testify to the development and course of mechanisms for counteracting pathogenetic processes in the body. The purpose of this study was to determine the informative directions of the cardiorespiratory system parameters dynamics during the performing a maneuver with a change in breathing rate, which may indicate the body functional state violation. Methods: The results of the study of 183 healthy men aged 21.2 ± 2.3 years who regularly engaged in various sports were analyzed. The procedure for studying the cardiorespiratory system included conducting combined measurements of indicators of activity of the respiratory and cardiovascular systems in a sitting position using a spiroarteriocardiograph device. The duration of the study was 6 min and involved the sequential registration of three measurements with a change in breathing rate (spontaneous breathing, breathing at 0.1 Hz and 0.25 Hz). Results: Performing a breathing maneuver at breathing 0.1 Hz and breathing 0.25 Hz in comparison with spontaneous breathing leads to multidirectional significant changes in heart rate variability indicators–TP (ms 2 ), LF (ms 2 ), LFHF (ms 2 /ms 2 ); of blood pressure variability indicators–TP DBP (mmHg 2 ), LF SBP (mmHg 2 ), LF DBP (mmHg 2 ), HF SBP (mmHg 2 ); of volume respiration variability indicators - LF R , (L×min -1 ) 2 ; HF R , (L×min -1 ) 2 ; LFHF R , (L×min -1 ) 2 /(L×min -1 ) 2 ; of arterial baroreflex sensitivity indicators - BR LF (ms×mmHg -1 ), BR HF (ms×mmHg -1 ). Differences in indicators of systemic hemodynamics and indicators of cardiovascular and respiratory systems synchronization were also informative. Conclusion: According to the results of the study, it is shown that during performing a breathing maneuver with a change in the rate of breathing, there are significant changes in cardiorespiratory parameters, the analysis of which the increments made it possible to determine of the changes directions dynamics, their absolute values and informative limits regarding the possible occurrence of the cardiorespiratory interactions dysregulation.
前言:现代运动医学和医学康复的实践需要寻找疾病后身体状况发展和恢复的微妙标准,这对预防训练和康复工具的负面影响具有预测价值,也证明了体内对抗病理过程的机制的发展和过程。本研究的目的是确定呼吸频率变化可能指示机体功能状态违反的机动过程中心肺系统参数动态的信息方向。方法:对183例(21.2±2.3岁)经常参加各种运动的健康男性进行分析。研究心肺系统的程序包括使用肺动脉心动图仪在坐姿中对呼吸系统和心血管系统的活动指标进行联合测量。研究持续时间为6分钟,包括连续记录呼吸频率变化的三个测量值(自发呼吸、0.1 Hz和0.25 Hz呼吸)。结果:与自然呼吸相比,在呼吸0.1 Hz和0.25 Hz时进行呼吸操作可导致心率变异性指标tp (ms 2)、LF (ms 2)、LFHF (ms 2 /ms 2)的多向显著变化;血压变异性指标:tp舒张压(mmHg 2)、LF收缩压(mmHg 2)、LF舒张压(mmHg 2)、HF收缩压(mmHg 2);容积呼吸变异性指标- LF R, (L×min -1) 2;HF R, (L×min -1) 2;LFHF R, (L×min -1) 2 /(L×min -1) 2;BR LF (ms×mmHg -1)、BR HF (ms×mmHg -1)。系统血流动力学指标和心血管和呼吸系统同步指标的差异也提供了信息。结论:本研究结果表明,在呼吸频率变化的呼吸操作过程中,心肺参数有明显的变化,通过对其增量的分析,可以确定其变化的方向、动态、绝对值和可能发生心肺相互作用失调的信息界限。
{"title":"Cardiorespiratory dynamics during respiratory maneuver in athletes","authors":"Oleksandr Romanchuk","doi":"10.3389/fnetp.2023.1276899","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1276899","url":null,"abstract":"Introduction: The modern practice of sports medicine and medical rehabilitation requires the search for subtle criteria for the development of conditions and recovery of the body after diseases, which would have a prognostic value for the prevention of negative effects of training and rehabilitation tools, and also testify to the development and course of mechanisms for counteracting pathogenetic processes in the body. The purpose of this study was to determine the informative directions of the cardiorespiratory system parameters dynamics during the performing a maneuver with a change in breathing rate, which may indicate the body functional state violation. Methods: The results of the study of 183 healthy men aged 21.2 ± 2.3 years who regularly engaged in various sports were analyzed. The procedure for studying the cardiorespiratory system included conducting combined measurements of indicators of activity of the respiratory and cardiovascular systems in a sitting position using a spiroarteriocardiograph device. The duration of the study was 6 min and involved the sequential registration of three measurements with a change in breathing rate (spontaneous breathing, breathing at 0.1 Hz and 0.25 Hz). Results: Performing a breathing maneuver at breathing 0.1 Hz and breathing 0.25 Hz in comparison with spontaneous breathing leads to multidirectional significant changes in heart rate variability indicators–TP (ms 2 ), LF (ms 2 ), LFHF (ms 2 /ms 2 ); of blood pressure variability indicators–TP DBP (mmHg 2 ), LF SBP (mmHg 2 ), LF DBP (mmHg 2 ), HF SBP (mmHg 2 ); of volume respiration variability indicators - LF R , (L×min -1 ) 2 ; HF R , (L×min -1 ) 2 ; LFHF R , (L×min -1 ) 2 /(L×min -1 ) 2 ; of arterial baroreflex sensitivity indicators - BR LF (ms×mmHg -1 ), BR HF (ms×mmHg -1 ). Differences in indicators of systemic hemodynamics and indicators of cardiovascular and respiratory systems synchronization were also informative. Conclusion: According to the results of the study, it is shown that during performing a breathing maneuver with a change in the rate of breathing, there are significant changes in cardiorespiratory parameters, the analysis of which the increments made it possible to determine of the changes directions dynamics, their absolute values and informative limits regarding the possible occurrence of the cardiorespiratory interactions dysregulation.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"181 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136068146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level. 精准医学的表型图谱:在个性化水平上评估治疗反应和耐药性的一个有前途的系统生物学工具。
Pub Date : 2023-10-25 eCollection Date: 2023-01-01 DOI: 10.3389/fnetp.2023.1256104
Sayantan Bhattacharyya, Shafqat F Ehsan, Loukia G Karacosta

In this perspective we discuss how tumor heterogeneity and therapy resistance necessitate a focus on more personalized approaches, prompting a shift toward precision medicine. At the heart of the shift towards personalized medicine, omics-driven systems biology becomes a driving force as it leverages high-throughput technologies and novel bioinformatics tools. These enable the creation of systems-based maps, providing a comprehensive view of individual tumor's functional plasticity. We highlight the innovative PHENOSTAMP program, which leverages high-dimensional data to construct a visually intuitive and user-friendly map. This map was created to encapsulate complex transitional states in cancer cells, such as Epithelial-Mesenchymal Transition (EMT) and Mesenchymal-Epithelial Transition (MET), offering a visually intuitive way to understand disease progression and therapeutic responses at single-cell resolution in relation to EMT-related single-cell phenotypes. Most importantly, PHENOSTAMP functions as a reference map, which allows researchers and clinicians to assess one clinical specimen at a time in relation to their phenotypic heterogeneity, setting the foundation on constructing phenotypic maps for personalized medicine. This perspective argues that such dynamic predictive maps could also catalyze the development of personalized cancer treatment. They hold the potential to transform our understanding of cancer biology, providing a foundation for a future where therapy is tailored to each patient's unique molecular and cellular tumor profile. As our knowledge of cancer expands, these maps can be continually refined, ensuring they remain a valuable tool in precision oncology.

从这个角度来看,我们讨论了肿瘤异质性和治疗耐药性如何需要关注更个性化的方法,从而促使向精准医学的转变。在向个性化医疗转变的核心,组学驱动的系统生物学成为一股驱动力,因为它利用了高通量技术和新型生物信息学工具。这些能够创建基于系统的地图,提供单个肿瘤功能可塑性的全面视图。我们重点介绍了创新的PHENOSTAMP程序,该程序利用高维数据构建视觉上直观且用户友好的地图。该图谱的创建是为了概括癌细胞中复杂的过渡状态,如上皮-间充质转化(EMT)和间充质-上皮转化(MET),提供了一种直观的方法来了解与EMT相关的单细胞表型相关的疾病进展和单细胞治疗反应。最重要的是,PHENOSTAMP作为参考图谱,允许研究人员和临床医生一次评估一个临床标本的表型异质性,为构建个性化医疗的表型图谱奠定基础。这一观点认为,这种动态预测地图也可以促进个性化癌症治疗的发展。它们有可能改变我们对癌症生物学的理解,为未来根据每个患者独特的分子和细胞肿瘤特征量身定制治疗奠定基础。随着我们对癌症知识的扩展,这些地图可以不断地改进,确保它们仍然是精确肿瘤学的有价值的工具。
{"title":"Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level.","authors":"Sayantan Bhattacharyya, Shafqat F Ehsan, Loukia G Karacosta","doi":"10.3389/fnetp.2023.1256104","DOIUrl":"10.3389/fnetp.2023.1256104","url":null,"abstract":"<p><p>In this perspective we discuss how tumor heterogeneity and therapy resistance necessitate a focus on more personalized approaches, prompting a shift toward precision medicine. At the heart of the shift towards personalized medicine, omics-driven systems biology becomes a driving force as it leverages high-throughput technologies and novel bioinformatics tools. These enable the creation of systems-based maps, providing a comprehensive view of individual tumor's functional plasticity. We highlight the innovative PHENOSTAMP program, which leverages high-dimensional data to construct a visually intuitive and user-friendly map. This map was created to encapsulate complex transitional states in cancer cells, such as Epithelial-Mesenchymal Transition (EMT) and Mesenchymal-Epithelial Transition (MET), offering a visually intuitive way to understand disease progression and therapeutic responses at single-cell resolution in relation to EMT-related single-cell phenotypes. Most importantly, PHENOSTAMP functions as a reference map, which allows researchers and clinicians to assess one clinical specimen at a time in relation to their phenotypic heterogeneity, setting the foundation on constructing phenotypic maps for personalized medicine. This perspective argues that such dynamic predictive maps could also catalyze the development of personalized cancer treatment. They hold the potential to transform our understanding of cancer biology, providing a foundation for a future where therapy is tailored to each patient's unique molecular and cellular tumor profile. As our knowledge of cancer expands, these maps can be continually refined, ensuring they remain a valuable tool in precision oncology.</p>","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"3 ","pages":"1256104"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642209/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"107593033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial: Circadian rhythms of mental health. 社论:心理健康的昼夜节律。
Pub Date : 2023-10-24 eCollection Date: 2023-01-01 DOI: 10.3389/fnetp.2023.1279911
Kneginja Richter, Thomas Penzel
{"title":"Editorial: Circadian rhythms of mental health.","authors":"Kneginja Richter, Thomas Penzel","doi":"10.3389/fnetp.2023.1279911","DOIUrl":"10.3389/fnetp.2023.1279911","url":null,"abstract":"","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"3 ","pages":"1279911"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71523574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multifractality in stride-to-stride variations reveals that walking involves more movement tuning and adjusting than running. 跨步变化的多重分形性表明,步行比跑步涉及更多的运动调整和调整。
Pub Date : 2023-10-19 eCollection Date: 2023-01-01 DOI: 10.3389/fnetp.2023.1294545
Taylor J Wilson, Madhur Mangalam, Nick Stergiou, Aaron D Likens

Introduction: The seemingly periodic human gait exhibits stride-to-stride variations as it adapts to the changing task constraints. The optimal movement variability hypothesis (OMVH) states that healthy stride-to-stride variations exhibit "fractality"-a specific temporal structure in consecutive strides that are ordered, stable but also variable, and adaptable. Previous research has primarily focused on a single fractality measure, "monofractality." However, this measure can vary across time; strideto-stride variations can show "multifractality." Greater multifractality in stride-tostride variations would highlight the ability to tune and adjust movements more. Methods: We investigated monofractality and multifractality in a cohort of eight healthy adults during self-paced walking and running trials, both on a treadmill and overground. Footfall data were collected through force-sensitive sensors positioned on their heels and feet. We examined the effects of self-paced walking vs. running and treadmill vs. overground locomotion on the measure of monofractality, α-DFA, in addition to the multifractal spectrum width, W, and the asymmetry in the multifractal spectrum, WAsym, of stride interval time series. Results: While the α-DFA was larger than 0.50 for almost all conditions, α-DFA was higher in running and locomoting overground than walking and locomoting on a treadmill. Similarly, W was greater while locomoting overground than on a treadmill, but an opposite trend indicated that W was greater in walking than running. Larger WAsym values in the negative direction suggest that walking exhibits more variation in the persistence of shorter stride intervals than running. However, the ability to tune and adjust movements does not differ between treadmill and overground, although both exhibit more variation in the persistence of shorter stride intervals. Discussion: Hence, greater heterogeneity in shorter than longer stride intervals contributed to greater multifractality in walking compared to running, indicated by larger negative WAsym values. Our results highlight the need to incorporate multifractal methods to test the predictions of the OMVH.

引言:看似周期性的人类步态在适应不断变化的任务约束时,会表现出步幅之间的变化。最佳运动变异性假说(OMVH)指出,健康的步幅变化表现出“分形”——连续步幅中的一种特定时间结构,它是有序的、稳定的,但也是可变的,并且具有适应性。先前的研究主要集中在一个单一的分形测度上,即“单分形”。然而,这个测度可能随时间而变化;跨步到跨步的变化可以表现出“多重分形”。跨步到跨步变化中更大的多重分形将突出调整和调整动作的能力。方法:我们在跑步机和地上进行的自定步步行和跑步试验中,对8名健康成年人的单分形和多重分形进行了研究。跌倒数据是通过放置在他们脚跟和脚上的力敏传感器收集的。除了步长时间序列的多重分形谱宽度W和多重分形谱中的不对称性WAsym外,我们还研究了自行步行与跑步、跑步机与地上运动对单分形α-DFA测量的影响。结果:虽然在几乎所有条件下α-DFA都大于0.50,但在地上跑步和运动时α-DFA高于在跑步机上行走和运动。同样,地上运动时的W比在跑步机上运动时大,但相反的趋势表明,走路时的W大于跑步时的W。负方向上较大的WAsym值表明,与跑步相比,步行在短步幅间隔的持续性方面表现出更多的变化。然而,跑步机和地上运动的调节和调整能力没有差异,尽管两者在短步幅间隔的持续性方面都表现出更多的差异。讨论:因此,与跑步相比,短步幅间隔比长步幅间隔的异质性越大,步行的多重分形越大,WAsym负值越大。我们的研究结果强调了结合多重分形方法来测试OMVH预测的必要性。
{"title":"Multifractality in stride-to-stride variations reveals that walking involves more movement tuning and adjusting than running.","authors":"Taylor J Wilson, Madhur Mangalam, Nick Stergiou, Aaron D Likens","doi":"10.3389/fnetp.2023.1294545","DOIUrl":"10.3389/fnetp.2023.1294545","url":null,"abstract":"<p><p><b>Introduction:</b> The seemingly periodic human gait exhibits stride-to-stride variations as it adapts to the changing task constraints. The optimal movement variability hypothesis (OMVH) states that healthy stride-to-stride variations exhibit \"fractality\"-a specific temporal structure in consecutive strides that are ordered, stable but also variable, and adaptable. Previous research has primarily focused on a single fractality measure, \"monofractality.\" However, this measure can vary across time; strideto-stride variations can show \"multifractality.\" Greater multifractality in stride-tostride variations would highlight the ability to tune and adjust movements more. <b>Methods:</b> We investigated monofractality and multifractality in a cohort of eight healthy adults during self-paced walking and running trials, both on a treadmill and overground. Footfall data were collected through force-sensitive sensors positioned on their heels and feet. We examined the effects of self-paced walking vs. running and treadmill vs. overground locomotion on the measure of monofractality, α-DFA, in addition to the multifractal spectrum width, W, and the asymmetry in the multifractal spectrum, W<i><sub>Asym</sub></i>, of stride interval time series. <b>Results:</b> While the α-DFA was larger than 0.50 for almost all conditions, α-DFA was higher in running and locomoting overground than walking and locomoting on a treadmill. Similarly, W was greater while locomoting overground than on a treadmill, but an opposite trend indicated that W was greater in walking than running. Larger W<i><sub>Asym</sub></i> values in the negative direction suggest that walking exhibits more variation in the persistence of shorter stride intervals than running. However, the ability to tune and adjust movements does not differ between treadmill and overground, although both exhibit more variation in the persistence of shorter stride intervals. <b>Discussion:</b> Hence, greater heterogeneity in shorter than longer stride intervals contributed to greater multifractality in walking compared to running, indicated by larger negative W<i><sub>Asym</sub></i> values. Our results highlight the need to incorporate multifractal methods to test the predictions of the OMVH.</p>","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"3 ","pages":"1294545"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71489610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interacting information streams on the nephron arterial network. 肾单位动脉网络上相互作用的信息流。
Pub Date : 2023-10-19 eCollection Date: 2023-01-01 DOI: 10.3389/fnetp.2023.1254964
Donald J Marsh, Anthony S Wexler, Niels-Henrik Holstein-Rathlou
Blood flow and glomerular filtration in the kidney are regulated by two mechanisms acting on the afferent arteriole of each nephron. The two mechanisms operate as limit cycle oscillators, each responding to a different signal. The myogenic mechanism is sensitive to a transmural pressure difference across the wall of the arteriole, and tubuloglomerular feedback (TGF) responds to the NaCl concentration in tubular fluid flowing into the nephron’s distal tubule,. The two mechanisms interact with each other, synchronize, cause oscillations in tubular flow and pressure, and form a bimodal electrical signal that propagates into the arterial network. The electrical signal enables nephrons adjacent to each other in the arterial network to synchronize, but non-adjacent nephrons do not synchronize. The arteries supplying the nephrons have the morphologic characteristics of a rooted tree network, with 3 motifs characterizing nephron distribution. We developed a model of 10 nephrons and their afferent arterioles in an arterial network that reproduced these structural characteristics, with half of its components on the renal surface, where experimental data suitable for model validation is available, and the other half below the surface, from which no experimental data has been reported. The model simulated several interactions: TGF-myogenic in each nephron with TGF modulating amplitude and frequency of the myogenic oscillation; adjacent nephron-nephron with strong coupling; non-adjacent nephron-nephron, with weak coupling because of electrical signal transmission through electrically conductive arterial walls; and coupling involving arterial nodal pressure at the ends of each arterial segment, and between arterial nodes and the afferent arterioles originating at the nodes. The model predicted full synchronization between adjacent nephrons pairs and partial synchronization among weakly coupled nephrons, reproducing experimental findings. The model also predicted aperiodic fluctuations of tubular and arterial pressures lasting longer than TGF oscillations in nephrons, again confirming experimental observations. The model did not predict complete synchronization of all nephrons.
肾中的血流量和肾小球滤过由作用于每个肾单位的传入小动脉的两种机制调节。这两种机制作为极限循环振荡器工作,每种机制都对不同的信号作出响应。肌源性机制对小动脉壁上的透壁压差敏感,而肾小管-肾小球反馈(TGF)对流入肾单位远端小管的管液中的NaCl浓度作出反应,。这两种机制相互作用,同步,引起管状流量和压力的振荡,并形成传播到动脉网络中的双峰电信号。电信号使动脉网络中彼此相邻的肾单位能够同步,但非相邻肾单位不同步。供应肾单位的动脉具有根状树状网络的形态学特征,有3个基序表征肾单位的分布。我们开发了一个由动脉网络中的10个肾单位及其传入小动脉组成的模型,该模型再现了这些结构特征,其中一半的成分在肾表面,那里有适合模型验证的实验数据,另一半在表面以下,没有实验数据报告。该模型模拟了几种相互作用:每个肾单位的TGF肌源性,TGF调节肌源性振荡的幅度和频率;相邻肾单位强耦合肾单位;不相邻的肾单位-肾单位,由于电信号通过导电动脉壁传输而具有弱耦合;以及涉及在每个动脉段的末端处以及在动脉节点和起源于节点处的传入小动脉之间的动脉节点压力的耦合。该模型预测了相邻肾单位对之间的完全同步和弱耦合肾单位之间的部分同步,再现了实验结果。该模型还预测了肾单位中肾小管和动脉压的非周期性波动,其持续时间比TGF振荡更长,再次证实了实验观察结果。该模型不能预测所有肾单位的完全同步。
{"title":"Interacting information streams on the nephron arterial network.","authors":"Donald J Marsh,&nbsp;Anthony S Wexler,&nbsp;Niels-Henrik Holstein-Rathlou","doi":"10.3389/fnetp.2023.1254964","DOIUrl":"https://doi.org/10.3389/fnetp.2023.1254964","url":null,"abstract":"Blood flow and glomerular filtration in the kidney are regulated by two mechanisms acting on the afferent arteriole of each nephron. The two mechanisms operate as limit cycle oscillators, each responding to a different signal. The myogenic mechanism is sensitive to a transmural pressure difference across the wall of the arteriole, and tubuloglomerular feedback (TGF) responds to the NaCl concentration in tubular fluid flowing into the nephron’s distal tubule,. The two mechanisms interact with each other, synchronize, cause oscillations in tubular flow and pressure, and form a bimodal electrical signal that propagates into the arterial network. The electrical signal enables nephrons adjacent to each other in the arterial network to synchronize, but non-adjacent nephrons do not synchronize. The arteries supplying the nephrons have the morphologic characteristics of a rooted tree network, with 3 motifs characterizing nephron distribution. We developed a model of 10 nephrons and their afferent arterioles in an arterial network that reproduced these structural characteristics, with half of its components on the renal surface, where experimental data suitable for model validation is available, and the other half below the surface, from which no experimental data has been reported. The model simulated several interactions: TGF-myogenic in each nephron with TGF modulating amplitude and frequency of the myogenic oscillation; adjacent nephron-nephron with strong coupling; non-adjacent nephron-nephron, with weak coupling because of electrical signal transmission through electrically conductive arterial walls; and coupling involving arterial nodal pressure at the ends of each arterial segment, and between arterial nodes and the afferent arterioles originating at the nodes. The model predicted full synchronization between adjacent nephrons pairs and partial synchronization among weakly coupled nephrons, reproducing experimental findings. The model also predicted aperiodic fluctuations of tubular and arterial pressures lasting longer than TGF oscillations in nephrons, again confirming experimental observations. The model did not predict complete synchronization of all nephrons.","PeriodicalId":73092,"journal":{"name":"Frontiers in network physiology","volume":"3 ","pages":"1254964"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620968/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71489609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Frontiers in network physiology
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
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
×
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
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