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Related Experiment Videos

Obsessing about Uncertainty?

Jacqueline Scholl1, Matthew F S Rushworth2

  • 1Wellcome Centre for Integrative Neuroimaging (WIN), Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford OX1 3UD, UK.

Neuron
|October 13, 2017
PubMed
Summary
This summary is machine-generated.

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Patients with obsessive-compulsive disorder (OCD) recognize their symptoms are excessive, yet they persist. Computational neuroscience models offer a quantitative explanation for this persistent symptomology in OCD.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Psychiatry

Background:

  • Obsessive-compulsive disorder (OCD) is characterized by persistent obsessions and compulsions.
  • A key clinical feature of OCD is the patient's awareness that their symptoms are excessive or irrational.

Purpose of the Study:

  • To provide a quantitative account for the persistence of OCD symptoms despite patient insight.
  • To link computational models from basic neuroscience to clinical observations in OCD.

Main Methods:

  • Utilized computational models derived from basic neuroscience principles.
  • Applied these models to explain the persistence of excessive symptoms in obsessive-compulsive disorder.

Main Results:

  • The study proposes a quantitative framework to understand why OCD symptoms continue despite insight.

Related Experiment Videos

  • Vaghi and colleagues (2017) developed a model explaining the persistence of obsessions and compulsions.

    • Conclusions:

    • Computational neuroscience offers valuable insights into the mechanisms underlying OCD.
    • A quantitative approach can elucidate the persistent nature of OCD symptoms, even with patient awareness.