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09:29
Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
Published on: January 9, 2015
A computational model of craving and obsession.
1Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA. redish@ahc.umn.edu
Annals of the New York Academy of Sciences
|June 28, 2007
Summary
Addictions may stem from decision-making systems interacting with learning. This study models a planning system in the brain, explaining craving and obsession by linking opioid signaling to outcome evaluation.
Area of Science:
- Neuroscience
- Decision-making
- Behavioral Science
Background:
- Addictions and problematic behaviors involve complex interactions between substances, reward pathways, and natural learning mechanisms.
- Understanding these behaviors requires insight into the neural systems governing decision-making.
Purpose of the Study:
- To propose a unified model of decision-making, focusing on a planning-capable system.
- To explain the neural basis of craving and obsession within this decision-making framework.
Main Methods:
- Modeling the planning-capable system using observed hippocampal look-ahead dynamics for forward planning.
- Incorporating nucleus accumbens function for outcome evaluation, drawing parallels with opioid signaling.
Main Results:
- A model where opioid signaling evaluates expected outcomes, contributing to craving.
- Obsession is modeled as a value-driven limitation of the search process within the decision-making system.
Conclusions:
- The proposed decision-making model offers a unified explanation for clinically problematic behaviors like drug self-administration and problem gambling.
- The theory explains how opioid antagonists can mitigate hedonic responses and craving.
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