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1.Disentangling cardiogenic and respiratory rhythms from physiological noise in dynamic infrared thermograms: a computer-aided time-frequency method to assist in early breast cancer diagnosis
1.From power-law to log-normal rupture cascades in random network modeling of living cell plasticity
1.Visualizing network dynamics in cognition
2.Preexisting dynamics in the brain networks – constraints and advantages
Ronny P. Bartsch
1.Coexisting forms of physiological coupling and networks of organ systems interactions
Tjeerd W. Boonstra
1.Functional connectivity in human motor system
1.The redox communication network as a master regulator of metabolism
2.Network of glucose-induced signals for insulin secretion
Marina de Tommaso
1.Brain networks interaction in migraine
2.Default mode network and functional connectivity in chronic pain syndromes
Kathryn A. Hibbert
1.Heterogeneity in critical illness: challenges and opportunities
James W. Holsapple
1.Neurosurgery: a testing ground for Network Physiology
Plamen Ch. Ivanov
1.The new field of Network Physiology: mapping the Human Physiolome
1.An information-theoretic framework to dissect multivariate and multiscale physiological interactions
1.Multimodality monitoring after traumatic brain injury
1.On the difference of cardiorespiratory synchronization and coordination
2.Brain oscillations via rhythmic stimulation – synchronization or superposition?
1.Limitations on inferring couplings and directionality: Lessons learned from evolving epileptic brain networks
2.Estimating resilience of evolving epileptic brain networks.
1.Structure and dynamics of the brain-muscle network across the sleep-wake cycle
1.From single biosignal measurement to contactless multimodal physiological measurement technologies
2.Approaches to integrated medical technology development
1.Synergy and redundancy in the granger causality framework: an application to muscle networks
1.Developing a Data Collection System for the Injured Brain to Enable Network Physiology Research
1.Network Physiology in the neonatal ICU.
2.Network Physiology in the adult ICU.
1.The nonlinear dynamics of the heart: chaos and synchronization in networks of cardiac cells
2.Time series analysis, data assimilation, and machine learning in network physiology
Louis M. Pecora
1.An introduction to reservoir computing
Arkady S. Pikovsky
1.Synchronization of noisy systems and its characterization
2.Synchronization on networks: direct and inverse problems
Michael G. Rosenblum
1.Inferring network properties via phase dynamics modeling with application to Network Physiology
2.Dynamical disentanglement in analysis of oscillatory systems
1.The NASA Human Research Program and applications of Network Physiology
1.Network Physiology: a case study in dental medicine and an overview of applications to big data in health
Michael F. Shlesinger
1.Pitfalls and paradoxes in the history of probability theory
1.Kidney function: an interplay between structural network topology and network dynamics
2.Network Physiology aspects of kidney-brain-heart interactions and function
1.Critical peripheral neural network physiology explains mammalian pitch perception, frequency dependence of hearing threshold, and harmony vs. disharmony perception of sounds.
2.Novel experimental and theoretical insights into role and modalities of criticality, reveal for small-size neural networks unanticipated complexity bound by universality
1.Physiological aging in brain networks
1.Cellular shaping of fiber networks: implications for self-healing and pulmonary fibrosis
2.Mitochondrial network structure, bioenergetics and blood pressure variability
1.Levy driven Ornstein-Uhlenbeck type processes and intermittency
1.Complexity of the language the ‘Body and Brain’ system uses to communicate with the environment
Robert J. Thomas
1.Normal sleep as a multi-component multi-level networked state
2.Pathological sleep as a network disorder
1.Lung injury begets multiorgan failure and death: lessons learned from the acute respiratory distress syndrome.
2.Sepsis and multiple system organ failure.
1.Network medicine—what do we learn from co-morbidity networks?
1.Causal linear and non-linear assessment of central-cardiorespiratory network pathways in healthy subjects in comparison to a neurological disorder under resting conditions
1.Network physiology and aging: fundamental laws of physiological regulation of organ networks