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COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Dynamic Multi-System Resilience in Human Aging/SanneGijzel

From Complex Time

Notes by user Sanne Gijzel (Radboud Univ.) for Dynamic Multi-System Resilience in Human Aging

Post-meeting Reflection

1+ paragraphs on any combination of the following:

  • Presentation highlights
  • Open questions that came up
  • How your perspective changed
  • Impact on your own work
  • e.g. the discussion on [A] that we are having reminds me of [B] conference/[C] initiative/[D] funding call-for-proposal/[E] research group

During the first day, although the talks were very different, they very nicely complemented each other. It is amazing to see that we are all adopting slightly different approaches to investigating resilience in human aging but that they can all be placed in the larger framework of resilience of complex dynamical systems. We are all pioneering in this area and only sharing our struggles and recent insights was already very valuable, at least in my experience.

During the second day, I began seeing that we are working along 2 parallel lines:

  1. Finding ways to quantify resilience / resiliencies
  2. Increasing our understanding of the dynamics of the complex system in terms of resilience

Some reflections:

- I liked Alfons' idea of making real-life examples of "Resilience is ........" in the form of a short narrative / artwork / graphical illustration / equations. I agree that these can be very helpful to increase our understanding of resilience and involve more people (e.g. clinicians) in the resilience thinking and discourse.

- Marcel commented that for humans, it's clear that there are alternative stable states in health, but we do not know what are the precise perturbations and positive feedbacks causing the transition. To increase our understanding about this, I think we need to start with making mechanistic models. We can use these mechanistic models to generate new hypotheses.

- Ingrid pointed out the difference between acute stressors (perturbations, e.g. a stimulus-response test) and slow stressors (drivers, e.g. aging).

Reference material notes

Some examples:

  • Here is [A] database on [B] that I pull data from to do [C] analysis that might be of interest to this group (insert link).
  • Here is a free tool for calculating [ABC] (insert link)
  • This painting/sculpture/forms of artwork is emblematic to our discussion on [X]!
  • Schwartz et al. 2017 offers a review on [ABC] migration as relate to climatic factors (add the reference as well).

Reference Materials

Title Author name Source name Year Citation count From Scopus. Refreshed every 5 days. Page views Related file
Early-warning signals for critical transitions Marten Scheffer, Jordi Bascompte, William A. Brock, Victor Brovkin, Stephen R. Carpenter, Vasilis Dakos, Hermann Held, Egbert H. Van Nes, Max Rietkerk, George Sugihara Nature 2009 1,751 22
Dynamical Resilience Indicators in Time Series of Self-Rated Health Correspond to Frailty Levels in Older Adults Sanne M.W. Gijzel, Ingrid A. Van De Leemput, Marten Scheffer, Mattia Roppolo, Marcel G.M. Olde Rikkert, René J.F. Melis Journals of Gerontology - Series A Biological Sciences and Medical Sciences 2017 15 6
Critical slowing down as early warning for the onset and termination of depression3 0 12

Presenter on the following Agenda items

Developing dynamical indicators of resilience based on physiologic time series in older adult

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