For a detailed description of the fundamental questions, aims, challenges, analytic and modeling approaches, impacts, current and future directions of research in Network Physiology see “The New Field of Network Physiology: Building the Human Physiolome”

Frontiers in Network Physiology is a multidisciplinary journal that focuses on the emerging field of network physiology, aiming to understand the dynamic interactions and integration of diverse physiological systems and sub-systems in health and disease.

Led by Prof Plamen Ch. Ivanov, (Boston University, USA) the journal welcomes research contributions from researchers with backgrounds in physics, applied mathematics, neuroscience, physiology, medicine, and biomedical engineering.

The journal aims to bridge the gap between basic physiology, clinical medicine, and other related disciplines by exploring the coordination and network interactions among organ systems and sub-systems as a hallmark of physiologic state and function. Topics of interest include:

advanced methods from non-linear dynamics to synchronization phenomena
brain and neuronal dynamics
cardiac arrest
concussion
neonatal care
neurodegenerative disorders
pair-wise and network interactions of organ systems and sub-systems
physiological interactions in coma and traumatic brain injury
sleep disorders
tissues and cell assemblies
theory of networks of dynamical systems.

The journal encourages research focused on the development of novel biomedical device platforms for synchronized high-frequency recordings and the creation of the Human Physiolome, a comprehensive dataset containing large-scale signals from multiple physiological systems.

The journal also welcomes submissions which support and advance the UN’s Sustainable Development Goals (SDGs), notably SDG 3: good health and well-being.

The journal aims to contribute to the understanding of how physiological systems dynamically interact and integrate their functions, ultimately leading to scientific breakthroughs in the field of network physiology. Frontiers in Network Physiology is committed to advancing developments in the field by providing unrestricted access to articles and communicating scientific knowledge to researchers and the public.

Manuscripts submitted to Frontiers in Network Physiology must include an explanation of how the article is relevant to Network Physiology in the introduction or the discussion of reported new results. Please include "Network Physiology" as one of the keywords in your manuscript.

Navigation group

Volumes

PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks