Guidelines

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Author guidelines

Ready to publish? Check out our author guidelines for everything you need to know about submission, from choosing a journal and section to preparing your manuscript.

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Editor guidelines

Reviewing a manuscript? See our editorial guidelines for everything you need to know about Frontiers’ peer review process.

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Peer review

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Publishing fees

Article processing charges (APCs) apply to articles that are accepted for publication by our external editors, following rigorous peer review.

Editors

See all (35)

roman romero-ortuno

Trinity College Dublin

Dublin, Ireland

Specialty Chief Editor

Networks in Aging and Frailty
jurgen claassen

Radboud University Medical Centre

Nijmegen, Netherlands

Associate Editor

Networks in Aging and Frailty
andrew davies

Trinity College Dublin

Dublin, Ireland

Associate Editor

Networks in Aging and Frailty
mikel egaña

Trinity College Dublin

Dublin, Ireland

Associate Editor

Networks in Aging and Frailty

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Networks in Aging and Frailty

Guidelines

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Editors

roman romero-ortuno

jurgen claassen

andrew davies

mikel egaña

Articles

Dynamic model assuming mutually inhibitory biomarkers of frailty suggests bistability with contrasting mobility phenotypes

Comparison of Gait Speed Reserve, Usual Gait Speed, and Maximum Gait Speed of Adults Aged 50+ in Ireland Using Explainable Machine Learning

Dual-Task Training Program for Older Adults: Blending Gait, Visuomotor and Cognitive Training

Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults

Research Topics

Advancing our Understanding of the Impact of Dynamics at Different Spatiotemporal Scales and Structure on Brain Synchronous Activity

The New Frontier of Network Physiology: From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems, Volume II

Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology with Implications for Artificial Intelligence