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  Early warning signals for dynamical phase transitions into addictive behavior

Foo, J., Noori, H., Yamaguchi, I., Vengeliene, V., Cosa-Linan, A., Nakamura, T., et al. (2016). Early warning signals for dynamical phase transitions into addictive behavior.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-7C07-E Version Permalink: http://hdl.handle.net/21.11116/0000-0000-C885-8
Genre: Meeting Abstract

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 Creators:
Foo, JC, Author
Noori, HR1, Author              
Yamaguchi, I, Author
Vengeliene, V, Author
Cosa-Linan, A, Author
Nakamura, T, Author
Morita, K, Author
Spanagel, R, Author
Yamamoto, Y, Author
Affiliations:
1Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany , ou_persistent22              

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 Abstract: Disease dynamics can be characterized by features of complex systems such as critical phase transitions, but in the biomedical field little evidence has been provided for this concept so far. Technological advancements are now making it possible to measure the intensive longitudinal data (ILD) necessary to capture pathologically-relevant signal components exhibiting the multiscale complexity of disease dynamics. Using a well-established model of alcohol relapse in rats as an example of disease onset and progression, we applied a multiscale computational approach to extract dynamical characteristics of massive high-resolution measurements of rat drinking behavior and locomotor activity. We show a stage-by-stage dynamical phase transition into relapse behavior preceded by early warning signals such as instability of drinking behavior and circadian rhythms, and a resultant increase in low frequency, ultradian rhythms. This study provides a blueprint for processing ILD from clinical studies and will help to predict disease dynamics in general.

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 Dates: 2016-11
 Publication Status: Published in print
 Pages: -
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 Identifiers: BibTex Citekey: FooNYVCNMSY2016
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Title: 8th International Workshop on Biosignal Interpretation (BSI 2016)
Place of Event: Osaka, Japan
Start-/End Date: -

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