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Nonlinear Methods for the Investigation of Psychotic Disorders

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Computational Neuroscience

Part of the book series: Neuromethods ((NM,volume 199))

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Abstract

The basic aspects of nonlinear dynamics theory’s utility and impact on understanding psychotic disorders are reviewed and discussed in this chapter. A different view of nonlinear approaches as a metaphor, analogy, and mathematical/physical concept is presented, with an emphasis on how the latter can be applied to empirical knowledge of psychotic disorders. The typical behavior of patients with psychotic disorders and general chaotic systems is discussed, as well as the dynamical analysis of time series extracted from such systems. The original question is rephrased in chaos theory terminology: “Are psychotic disorders described as dynamical processes?” There are some implications to viewing psychotic disorders as dynamic processes which enable the chaos theory approach to give deeper insights.

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Author information

Authors and Affiliations

  1. Translational Psychiatry group, Department of Psychiatry and Psychotherapy, University Hospital Lübeck (UKSH), Lübeck, Germany

    Alexandra Korda, Marina Frisman, Christina Andreou & Stefan Borgwardt

Authors
  1. Alexandra Korda
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  2. Marina Frisman
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  3. Christina Andreou
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  4. Stefan Borgwardt
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Corresponding author

Correspondence to Alexandra Korda .

Editor information

Editors and Affiliations

  1. Division of Translational Neuroscience, Medical University of Plovdiv, Plovdiv, Bulgaria

    Drozdstoy Stoyanov

  2. University of Lausanne, CHUV, Lausanne, Switzerland

    Bogdan Draganski

  3. Pathophysiology and Transplantation, University of Milan, Milan, Italy

    Paolo Brambilla

  4. Cognitive & Affective Neuroscience Unit, University of Vienna, Vienna, Austria

    Claus Lamm

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Korda, A., Frisman, M., Andreou, C., Borgwardt, S. (2023). Nonlinear Methods for the Investigation of Psychotic Disorders. In: Stoyanov, D., Draganski, B., Brambilla, P., Lamm, C. (eds) Computational Neuroscience. Neuromethods, vol 199. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3230-7_9

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  • DOI: https://doi.org/10.1007/978-1-0716-3230-7_9

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3229-1

  • Online ISBN: 978-1-0716-3230-7

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