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Related Concept Videos

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Depression: Overview01:18

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Coping Strategies: Emotion Focused01:20

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Emotion-focused coping refers to a set of strategies aimed at managing the emotional impact of stressors, rather than directly addressing their causes. This approach involves altering one's emotional response to stressful situations to reduce their psychological effects. For example, individuals might talk with a friend or engage in activities like journaling to express their feelings. Such actions can help achieve emotional clarity or release, providing the psychological stability needed...
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Self-Discrepancy Theory02:45

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Related Experiment Video

Updated: Jun 11, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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A computational approach to understanding effort-based decision-making in depression.

Vincent Valton1, Anahit Mkrtchian2, Madeleine Moses-Payne3

  • 1Institute of Cognitive Neuroscience, University College London, London, UK.

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|October 7, 2024
PubMed
Summary

Motivational dysfunction in depression stems from a reduced bias to accept effort, not altered reward sensitivity. This finding offers insights into persistent symptoms and potential treatment targets for depression.

Keywords:
AnhedoniaComputational PsychiatryDepressionEffort-based decision-makingMotivation

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Area of Science:

  • Cognitive Neuroscience
  • Computational Psychiatry
  • Clinical Psychology

Background:

  • Motivational dysfunction is a key symptom of depression, impacting daily functioning.
  • The specific cognitive processes underlying this motivational impairment, and their persistence after remission, remain unclear.
  • Decision-making under effort and reward provides a framework to study motivation using computational methods.

Purpose of the Study:

  • To investigate the computational mechanisms of effort-based decision-making in individuals with current and remitted depression.
  • To identify cognitive factors contributing to motivational deficits in depression.
  • To explore whether these deficits persist after depression remission.

Main Methods:

  • Utilized the Apple Gathering Task to assess effort-based decision-making across varying reward levels.
  • Employed computational modeling to analyze decision-making patterns.
  • Included healthy volunteers, individuals with current depression, and individuals with remitted depression, with and without a family history of depression.

Main Results:

  • Identified four computational mechanisms: effort acceptance bias, reward sensitivity, and linear/quadratic effort sensitivity.
  • Both depressed groups exhibited lower willingness to exert effort compared to controls.
  • Computational analysis indicated that reduced effort acceptance bias, not altered sensitivity to effort or reward, drove this difference.

Conclusions:

  • Lower willingness to exert effort in depression is primarily linked to reduced effort acceptance bias.
  • This bias may represent a trait-like vulnerability factor for depression.
  • Targeting effort-based decision-making mechanisms could be a promising avenue for depression treatment and prevention.