Abstract
Background: Uni- and bipolar affective disorders tend to be recurrent and progressive.
Illness patterns can evolve from isolated episodes to more rapid, rhythmic, and “chaotic”
mood patterns. Nonlinear deterministic dynamics are currently proposed to explain
this progression. However, most natural systems are nonlinear and noisy, and cooperative behavior of possible clinical relevance can result.
Methods: The latter issue has been studied with a mathematical model for progression
of disease patterns in affective disorders.
Results: Deterministic dynamics can reproduce a progression from stable, to periodic,
to chaotic patterns. Noise increases the spectrum of dynamic behaviors, enhances the
responsiveness to weak activations, and facilitates the occurrence of aperiodic patterns.
Conclusions: Noise might amplify subclinical vulnerabilities into disease onset and
could induce transitions to rapid-changing dysrhythmic mood patterns. We suggest that
noise-mediated cooperative behavior, including stochastic resonance, should be considered
in appropriate models for affective illness.
Keywords
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Article info
Publication history
Accepted:
September 1,
1998
Received in revised form:
August 25,
1998
Received:
April 20,
1998
Identification
Copyright
© 1999 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
