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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Can physiological network mapping reveal pathophysiological insights into emerging diseases? Lessons from COVID-19.

Cindy Xinyu Ji1, Majid Sorouri2, Mohammad Abdollahi3

  • 1Network Physiology Lab, Division of Medicine, UCL, London, United Kingdom.

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|November 21, 2025
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Summary

Network physiology mapping reveals distinct organ system connections in COVID-19 non-survivors, identifying unique correlations between consciousness and liver enzymes, and kidney function markers. This approach aids in understanding complex disease pathophysiology.

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Area of Science:

  • Network physiology
  • Systems biology
  • Computational medicine

Background:

  • Network physiology provides a holistic view of human body interactions.
  • Organ system connectivity is crucial in understanding health and disease.
  • Emerging diseases require novel approaches for pathophysiological insights.

Purpose of the Study:

  • To evaluate physiological network mapping for predicting COVID-19 patient outcomes.
  • To identify distinct network patterns in non-survivors versus survivors of COVID-19.
  • To explore inter-organ connectivity in the context of a novel infectious disease.

Main Methods:

  • Retrospective analysis of clinical and laboratory data from 202 COVID-19 patients.
  • Construction of organ network connectivity using 21 physiological variables via correlation analysis.
  • Application of parenclitic network analysis to assess deviations from survivor reference interactions.

Main Results:

  • Distinct correlation network maps were observed between non-survivors and survivors.
  • Non-survivors showed a significant correlation between consciousness and liver enzymes, absent in survivors.
  • A strong BUN-potassium axis correlation in non-survivors indicated kidney dysfunction and altered homeostasis.

Conclusions:

  • Physiological network mapping is a valuable tool for uncovering complex inter-organ interactions in emerging diseases.
  • Distinct network features in non-survivors offer potential biomarkers for disease severity.
  • Network physiology can support clinicians, researchers, and policymakers in future epidemics.