Lecture 23 Dopamine Reward

Dopamine and Reward Systems

Goals

  • Discuss dopamine systems in the brain.
  • Explore different dopamine receptor types and their drug targeting.
  • Examine the affective/limbic loop of the basal ganglia.
  • Investigate predictive reward signals and reinforcement learning.
  • Introduce decision neuroscience.
  • Delve into valuation and the role of the ventromedial prefrontal cortex (vmPFC).

Key Topics and Concepts

Dopamine Overview

  • Definition: Dopamine is a catecholamine neuromodulator produced by ~400,000–600,000 neurons in the midbrain.
  • Major Pathways:
    1. Nigrostriatal Pathway: Substantia nigra → Dorsal striatum (critical for motor control; implicated in Parkinson’s disease).
    2. Mesolimbic Pathway: Ventral tegmental area (VTA) → Ventral striatum (nucleus accumbens, critical for reward and motivation).
    3. Mesocortical Pathway: VTA → Prefrontal cortex (cognitive control, valuation).
  • Mechanisms of Action:
    • Volume transmission influences broad areas.
    • Dopamine receptors are metabotropic, with two main families:
      • D1-like (D1, D5): Excitatory.
      • D2-like (D2, D3, D4): Inhibitory.
  • Drug Targets: Many drugs (e.g., L-dopa, MAO inhibitors, cocaine) modulate dopamine synthesis, breakdown, reuptake, or receptor activity.

Motivated Behavior and Reward

  • Homeostatic Drives: Dopamine underpins behaviors related to acquiring food, water, warmth, and mating.
  • Distinction Between Wanting and Liking:
    • Wanting: Motivated behavior driven by dopamine systems.
    • Liking: Hedonic value associated with opioid systems (not dopamine).
  • Examples: Hypothalamic circuits regulate hunger signals (e.g., ghrelin, leptin) and interface with dopamine systems for reward-seeking.

Historical Foundations

  • James Olds and Self-Stimulation:
    • Discovery of the “pleasure center” via the medial forebrain bundle.
    • Rats self-stimulated to exhaustion when electrodes stimulated mesolimbic dopamine pathways.
    • Modern applications include deep brain stimulation for treatment-resistant depression.

Reward Prediction and Learning

  • Reward Prediction Error (RPE): Pioneered by Wolfram Schulz.
    • Dopamine signals unexpected rewards (positive RPE) or absence of expected rewards (negative RPE).
    • RPE underpins reinforcement learning by adjusting future behaviors based on outcomes.
  • Conditioned Stimuli: Dopamine signals shift from the reward itself to predictive cues, facilitating anticipatory behaviors.

Valuation and Decision Neuroscience

  • vmPFC and OFC Roles:
    • Encode subjective reward value during decision-making.
    • Strongly connected to the amygdala and striatum.
    • Studies show neurons fire relative to the value of chosen rewards in economic tasks.
  • Human Studies: Monetary Incentive Delay (MID) task reveals vmPFC and nucleus accumbens activation during reward anticipation and receipt.

Clinical and Behavioral Implications

  • Abulia: Basal ganglia lesions disrupt motivational circuits, leading to lack of initiative despite preserved external responsiveness.
  • Drug Addiction: Many substances exploit dopamine pathways, creating reinforcement that overrides homeostatic drives.

Key Terms

  • Catecholamine: Class of neurotransmitters including dopamine, norepinephrine.
  • Mesolimbic Pathway: Dopamine route central to reward and motivation.
  • Volume Transmission: Dopamine diffusion affecting broad neural areas.
  • Reward Prediction Error (RPE): Discrepancy between expected and actual rewards.
  • vmPFC: Ventromedial prefrontal cortex, critical for valuation and decision-making.
  • Self-Stimulation: Behavior driven by direct brain reward system activation.
  • Wanting vs. Liking: Distinction between motivational drive (dopamine) and pleasure (opioid systems).

Reading and References

  • Primary Text: Principles of Neuroscience, Chapter 32 (focus on Box 32A).
  • Key Studies:
    • Schultz, W. (1998). Reward prediction errors in dopaminergic neurons.
    • Olds, J., & Milner, P. (1954). Self-stimulation in rats.

This summary captures the flow and key highlights from the lecture corpus.