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Network Physiology
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The New Field of Network Physiology: Building the Human ... frontiersin.org 47 facts
claimThe field of Network Physiology investigates the laws of communication between organ systems, principles of integration in physiological networks, and mechanisms of network control that lead to the emergence of global network behaviors at the organism level.
claimThe field of Network Physiology has generated interest across a diverse community of research scientists, including those in applied mathematics, physics, data science, biomedical engineering, neuroscience, physiology, and clinical medicine.
claimNetwork Physiology researchers intend to develop mathematical and computational methods to address the complexity of physiological systems and investigate emerging global behaviors in networks of dynamical systems.
perspectiveFacilitating an active and productive dialog among physicists, biologists, physiologists, neuroscientists, and medical clinicians is important for understanding the relationship, conceptual difference, and impact of Network Physiology.
claimNetwork physiology requires a cross-scale perspective to investigate multi-scale regulatory mechanisms, addressing the heterogeneity, multi-modality, and complexity of physiological processes.
claimNetwork physiology aims to uncover dynamical characteristics of brain-organ and organ-organ networks to identify new signatures of physiologic control and establish associations between network structure and organism-level physiologic states.
claimFuture developments in Network Physiology are expected to produce next-generation ICU monitoring and alert systems that incorporate maps of organ network interactions and AI algorithms to track real-time changes of states and conditions.
claimThe field of Network Physiology encompasses research into various physiological networks, including proteomic and metabolic networks, networks of cell assemblies, neuronal populations, networks of the autonomic and peripheral nervous systems, brain structural and functional networks, biomechanical networks in tissues, networks in the cardiovascular and respiratory systems, network structures and dynamics in the kidneys and renal system, and networks of skeletal muscle groups and muscle fibers.
claimIn Network Physiology, links between organ systems represent dynamical coupling and coordination that have transient characteristics, whereas in classical graph theory, network links are static and represent statistical correlations.
claimNetwork Physiology research investigates the pairwise and network interactions of organ systems and sub-systems, and how these interactions manifest in aging, exercise, sports, and various clinical conditions such as concussion, traumatic brain injury, cardiac arrest, sleep and neurodegenerative disorders, diabetes, obesity, maternal-fetal and neonatal care, sepsis, coma, and multiple organ failure.
claimNetwork Physiology research aims to establish principles of organ integration that generate emergent behaviors at the organism level and facilitate adaptation to internal and external perturbations.
claimA network physiology approach can be used to assess the link between sinoatrial and ventricular cardiac controls, according to a 2017 study by Porta et al. published in Physiological Measurement.
claimNetwork Physiology researchers posit that health emerges as a result of network interactions among physiological systems.
claimNetwork Physiology is currently in an early stage of development, characterized as a network building phase that requires broad-scale empirical investigations to establish a general framework for identifying and defining dynamical links among physiological systems.
claimThe work on the field of Network Physiology was supported by the W. M. Keck Foundation.
claimFuture developments in Network Physiology aim to establish the Human Physiolome, a form of Big Data containing large-scale signals from multiple systems and a repository of network maps representing physiological systems interactions for different states, conditions, and diseases.
claimThe field of Network Physiology focuses on the coordination and network interactions among diverse organ systems and sub-systems as a hallmark of physiologic state and function, in addition to defining health and disease through structural, dynamical, and regulatory changes in individual physiological systems.
claimNetwork Physiology is a new field of research that addresses the challenges of quantifying complex dynamics in networks where nodes represent diverse dynamical systems with diverse, time-varying forms of coupling.
perspectiveResearchers in Network Physiology argue that the current paradigm for defining physiological states, health, and disease should shift from a focus on single organs to a focus on the network of physiological interactions.
claimThe field of Network Physiology aims to address how physiological systems synchronize and integrate their dynamics as a network to optimize functions and maintain health.
claimThe scope of Network Physiology extends beyond applying knowledge from statistical physics, applied mathematics, informatics, and network theory to systems biology, neuroscience, physiology, and medicine; it requires new computational and analytical approaches to extract information from complex data, infer transient interactions between dynamically changing systems, and quantify global behavior at the organism level.
claimNetwork physiology investigates the role of synchronized bursting dynamics in mediating neural control and the flow of information between brain rhythms, neuronal populations, cortical rhythms, and other physiological organ systems.
referenceNetwork Physiology research investigates the dynamics of organ interactions, including neural plasticity and organ network interactions.
referenceCollections of articles focusing on Network Physiology were published in the New Journal of Physics (Ivanov, 2016), Physiological Measurement (Ivanov, 2017), and Frontiers in Physiology (Ivanov et al., 2019).
perspectiveFrontiers in Network Physiology aims to promote data-driven discoveries of laws and control mechanisms that underlie physiologic network interactions under both health and pathological conditions.
claimNetwork Physiology is a field that focuses on inferring coupling and dynamical interactions among organ systems based on continuous streams of synchronous recordings of key physiologic parameters and output signals from multiple systems.
referenceA Network Physiology approach has been applied to study oxygen saturation variability during normobaric hypoxia.
claimThe field of Network Physiology aims to establish quantitative measures of interactions between diverse organ systems and their collective network behavior, while uncovering relations between physiologic states and patterns of organ network interactions.
claimNetwork Physiology involves the development of biomedical device platforms for synchronized high-frequency recordings from multiple physiological systems in clinical ICU and hospital environments, as well as networks of wearable sensors for continuous measurement of physiological parameters in free ambulatory conditions.
claimThe field of Network Physiology redefines health and disease by analyzing networks of physiological interactions between organ systems.
referenceSignal processing techniques are used in Network Physiology to quantify the network dynamics of organ interactions.
claimInvestigations into network physiology are hindered by the lack of long-term, continuous, parallel recordings from multiple organ systems across different physiologic states and conditions.
claimThe field of Network Physiology explores emerging cooperative phenomena and critical states in networks of diverse dynamical systems with nonlinear and time-varying interactions.
claimFuture developments in Network Physiology are expected to produce novel biomarkers based on organ network interactions for early diagnosis, age-related risk assessment, and pathological conditions.
claimNetwork Physiology is established as a new field in the landscape of contemporary biomedical and interdisciplinary research due to the synergetic effects of adaptive networks.
claimFrontiers in Network Physiology publishes research covering physiological systems ranging from the metabolic, sub-cellular, and cellular levels to integrated organ systems and the entire organism.
claimEmpirical investigations in Network Physiology are expected to foster the development of data-driven modeling and theoretical approaches to provide mechanistic insights and elucidate principles of nonlinear control in physiological networks.
claimThe field of Network Physiology aims to understand how diverse organs, physiological systems, and sub-systems dynamically interact as a network from the cellular to the organism level to produce various physiological states and functions in health and disease.
referenceNetwork Physiology research explores emerging physiologic states in health and disease through integrated organ network interactions.
claimThe field of Network Physiology aims to establish an atlas of dynamic interactions among human physiological systems and lay the foundation for the Human Physiolome by uncovering principles of system integration and hierarchical network reorganization.
claimResearch in Network Physiology has provided insights into the structural and functional connectivity of physiologic networks that underlie individual organ systems and their sub-systems.
claimThe keywords associated with the field of network physiology include dynamic networks, complex systems, control, AI, sensory networks, big data, and human physiolome.
claimNetwork Physiology approaches must account for four specific factors: 1) the complex dynamics of individual systems (network nodes), 2) dynamical aspects of network links representing organ communications in real time, 3) the evolution of organ interactions with time, and 4) the emergence of collective network behavior in response to changes in physiologic states and conditions.
claimThe author of the article on Network Physiology is the sole contributor of the work and approved it for publication.
claimThe field of Network Physiology redefines physiologic states by viewing them as dynamic networks of organ interactions rather than isolated systems.
claimCurrent temporal network methodologies are insufficient to address the complexity of physiological systems and the specific problems inherent to network physiology.
procedureRecent studies in Network Physiology have focused on four key areas: 1) investigating brain-brain network interactions across distinct brain rhythms and locations, 2) characterizing dynamical features of brain-organ communications as a new signature of neuro-autonomic control, 3) establishing basic principles underlying coordinated organ-organ communications, and 4) constructing first dynamic maps of physiological systems and organ interactions across distinct physiologic states.