ArticleProceedings. Biological sciences2017
Dynamical state transitions into addictive behaviour and their early-warning signals.
Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Computational modeling of the temporal influences between cues, craving and use in addiction: a dynamical system analysis based on ecological momentary assessment data.Translational psychiatry · 2025Article
- The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives.Addiction biology · 2024Review
- Application of early warning signs to physiological contexts: a comparison of multivariate indices in patients on long-term hemodialysis.Frontiers in network physiology · 2024Article
- Sex- and age-specific effects on the development of addiction and compulsive-like drinking in rats.Biology of sex differences · 2023Article
- Early warnings for multi-stage transitions in dynamics on networks.Journal of the Royal Society, Interface · 2023Article
- Emodiversity evaluation of remote workers through health monitoring based on intra-day emotion sampling.Frontiers in public health · 2023Observational
- Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach.Frontiers in digital health · 2022Article
- Female mice are more prone to develop an addictive-like phenotype for sugar consumption.Scientific reports · 2021Article
- Translational approach to understanding momentary factors associated with alcohol consumption.British journal of pharmacology · 2020Review
- Drinking Levels and Profiles of Alcohol Addicted Rats Predict Response to Nalmefene.Frontiers in pharmacology · 2019Article
- Dynamical state transitions into addictive behaviour and their early-warning signals.Proceedings. Biological sciences · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The theory of critical transitions in complex systems (ecosystems, climate, etc.), and especially its ability to predict abrupt changes by early-warning signals based on analysis of fluctuations close to tipping points, is seen as a promising avenue to study disease dynamics. However, the biomedical field still lacks a clear demonstration of this concept. Here, we used a well-established animal model in which initial alcohol exposure followed by deprivation and subsequent reintroduction of alcohol induces excessive alcohol drinking as an example of disease onset. Intensive longitudinal data (ILD) of rat drinking behaviour and locomotor activity were acquired by a fully automated drinkometer device over 14 weeks. Dynamical characteristics of ILD were extracted using a multi-scale computational approach. Our analysis shows a transition into addictive behaviour preceded by early-warning signals such as instability of drinking patterns and locomotor circadian rhythms, and a resultant increase in low frequency, ultradian rhythms during the first week of deprivation. We find evidence that during prolonged deprivation, a critical transition takes place pushing the system to excessive alcohol consumption. This study provides an adaptable framework for processing ILD from clinical studies and for examining disease dynamics and early-warning signals in the biomedical field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.