The tale of the inventor & his soundbox

In this blog, the first in the Historic Objects & Collections series from University College London, find out how a clockwork device from the early 1900s was used to test hearing🔗 www.physoc.org/blog/baranys...

#ScienceHistory bsky.app/profile/ucl....

23.01.2026 12:01 — 👍 5    🔁 1    💬 0    📌 0

Can physiological network mapping reveal pathophysiological insights into emerging diseases? Lessons from COVID-19 Network physiology is a multidisciplinary field that offers a comprehensive view of the complex interactions within the human body, emphasising the critical role of organ system connectivity in health...

Application of Network Thinking and Network Physiology in Emerging Disease; Lessons from the first wave of COVID-19. dx.plos.org/10.1371/jour... #NetworkPhysiology

23.11.2025 10:35 — 👍 0    🔁 0    💬 0    📌 0

"Education for Network Physiology" is now open for submissions in "Frontiers in Network Physiology"! We welcome contributions that advance the field of Network Physiology through clear, accessible explanations of topics that support learning across disciplines. www.frontiersin.org/research-top...

27.09.2025 16:11 — 👍 0    🔁 0    💬 0    📌 0

Women's sport: Why we need to talk about periods, breasts and injuries Understanding the pressure elite sports puts on women’s bodies is pushing athletes to new levels of excellence.

Insight news article on the importance of research in elite sport. Great work from @port.ac.uk
www.bbc.co.uk/news/article...

26.07.2025 09:29 — 👍 0    🔁 0    💬 0    📌 0

Decreased cardio-respiratory information transfer is associated with deterioration and a poor prognosis in critically ill patients with sepsis | Journal of Applied Physiology | American Physiological Society Assessing illness severity in the intensive care unit (ICU) is crucial for early prediction of deterioration and prognosis. Traditional prognostic scores often treat organ systems separately, overlooking the body’s interconnected nature. Network physiology offers a new approach to understanding these complex interactions. This study used the concept of transfer entropy (TE) to measure information flow between heart rate (HR), respiratory rate (RR), and capillary oxygen saturation in critically ill patients with sepsis, hypothesizing that TE between these signals would correlate with disease outcome. The retrospective cohort study utilized the Medical Information Mart for Intensive Care III Clinical Database, including patients who met Sepsis-3 criteria on admission and had 30 min of continuous HR, RR, and data. TE between the signals was calculated to create physiological network maps. Cox regression assessed the relationship between cardiorespiratory network indices and both deterioration [Sequential Organ Failure Assessment (SOFA) score increase of ≥2 points at 48 h] and 30-day mortality. Among 164 patients, higher information flow from to HR [TE ( → HR)] and reciprocal flow between HR and RR [TE (RR → HR) and TE (HR → RR)] were linked to reduced mortality, independent of age, mechanical ventilation, SOFA score, and comorbidity. Reductions in TE (HR → RR), TE (RR → HR), TE ( → RR), and TE ( → HR) were associated with an increased risk of 48-h deterioration. After adjustment for potential confounders, only TE (HR → RR) and TE (RR → HR) remained statistically significant. The study confirmed that physiological network mapping using routine signals in patients with sepsis could indicate illness severity and that higher TE values were generally associated with improved outcomes. NEW & NOTEWORTHY This study adopts an integrative approach through physiological network analysis to investigate sepsis, with the goal of identifying differences in information transfer between physiological signals in sepsis survivors versus nonsurvivors. We found that greater information flow between heart rate, respiratory rate, and capillary oxygen saturation was associated with reduced mortality, independent of age, disease severity, and comorbidities. In addition, reduced information transfer was linked to an increased risk of 48-h deterioration in patients with sepsis.

A recent report on application of physiological network mapping in sepsis and critical care #NetworkPhysiology
journals.physiology.org/doi/full/10....

22.07.2025 17:51 — 👍 1    🔁 0    💬 0    📌 0

Parenclitic network mapping predicts survival in critically ill patients with sepsis Sepsis is a complex disease involving multiple organ systems. A network physiology approach to sepsis may reveal collective system behaviors and intrinsic organ interactions. However, mapping functio....

Congrats to Emily Ito (our graduate from UCL AMS program) for publishing this insightful paper: Parenclitic network mapping predicts survival in critically ill patients with sepsis - Ito - 2025 - Physiological Reports - Wiley Online Library physoc.onlinelibrary.wiley.com/doi/full/10....

22.07.2025 16:05 — 👍 1    🔁 0    💬 0    📌 0

Assessing the therapeutic potential of vagus nerve stimulation in autoimmune diseases: A systematic review Emerging evidence suggests that the vagus nerve can modulate the immune system in experimental settings. Vagus nerve stimulation (VNS), initially developed for managing epilepsy, is now being explore...

Congrats to Eubi Chan (graduate from UCL AMS) for publishing this systematic review: Assessing the therapeutic potential of vagus nerve stimulation in autoimmune diseases: A systematic review - Chan - 2025 - Physiological Reports - Wiley Online Library physoc.onlinelibrary.wiley.com/doi/full/10....

22.07.2025 14:44 — 👍 1    🔁 0    💬 0    📌 0

Parenclitic network mapping predicts survival in critically ill patients with sepsis Sepsis is a complex disease involving multiple organ systems. A network physiology approach to sepsis may reveal collective system behaviors and intrinsic organ interactions. However, mapping functio...

The latest report from UCL Network Physiology Lab on pathophysiology of sepsis. #NetworkPhysiology Parenclitic network mapping predicts survival in critically ill patients with sepsis - Ito - 2025 - Physiological Reports - Wiley Online Library physoc.onlinelibrary.wiley.com/doi/full/10....

10.07.2025 07:22 — 👍 0    🔁 0    💬 0    📌 0

Map of how body responds to extreme conditions could help to spot early signs of illness How major organs work together to manage extreme physiological stresses such as lack of oxygen and sleep has been mapped for the first time by researchers from UCL and the University of Portsmouth.

Press release based on a recent report from the UCL network physiology lab: www.ucl.ac.uk/news/2025/ju...
#NetworkPhysiokogy

10.07.2025 07:07 — 👍 0    🔁 0    💬 0    📌 0

Non‐invasive assessment of integrated cardiorespiratory network dynamics after physiological stress in humans Abstract figure legend This study aimed to develop a non-invasive method for visualizing the cardiorespiratory network under baseline conditions and following isolated or combined exposure to hypoxia...

The latest collaborative work between UCL Network Physiology Lab and the Extreme Physiology Lab at the University of Portsmouth. The Journal of Physiology - Wiley Online Library physoc.onlinelibrary.wiley.com/doi/10.1113/...

08.07.2025 15:10 — 👍 0    🔁 0    💬 0    📌 0

Network Physiology webinar series - YouTube

The recordings of our Network Physiology Webinar Series are now available on The Physiological Society’s YouTube channel. Many thanks to our excellent speakers and dedicated event organisers for making this series so engaging and insightful. #NetworkPhysiology
youtube.com/playlist?lis...

30.05.2025 11:23 — 👍 2    🔁 0    💬 0    📌 0

Network Physiology: Mapping Physiological Networks in Health and Disease Network Physiology, learn more about the new multidisciplinary field with The Physiological Society's webinar series.

Network Physiology is the new frontier in physiology and medicine.

In our latest blog, Professor Plamen Ch. Ivanov, Dr Alireza Mani and Dr Tope Oyelade, tell us more about the new multidisciplinary field.

Read the blog ⬇️

12.02.2025 12:08 — 👍 1    🔁 1    💬 1    📌 0