Section One - The dopamine hypothesis of reward Flashcards

1
Q

Definition of learning

A

The process of forming associations, representations, and predictions about future rewards based on past experiences.
(Berridge & Kringelbach, 2008)

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2
Q

What is the law of effect

A

Behavior is selected based on its consequences.
Pleasant outcomes → Behavior increases
Unpleasant outcomes → Behavior decreases
Responses are adjusted according to their immediate consequences.

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3
Q

Classical conditioning

A

Learning through association
Conditioned stimulus (CS) comes before (precedes) the unconditioned stimulus regardless of behaviour.
Example = Pavlov’s dog (Bell > food)

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4
Q

Operant conditioning

A

Learning through consequences
reinforcement or punishment depends on behaviour
Skinners box (lever > food)

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5
Q

Skinner’s box experiment

A

Initially, the rat presses the lever rarely.
Once lever pressing is rewarded, frequency increases.
Skinner argued that human and animal behavior is largely driven by reward.

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6
Q

what is a reward

A

an active process

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7
Q

evolutionary perspective of rewards

A

Many rewarding stimuli increase the probability of gene propagation

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8
Q

types of reward

A

primary (natural) = essential for survival e.g. food , water
secondary (conditioned) = acquired through association e.g. money, grades

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9
Q

excitatory neurotransmitters

A

chemical messengers that increase the likelihood of a neuron firing an action potential
depolarise the postsynaptic neuron
Example: glutamate, acetylcholone (main)

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10
Q

Inhibitory neurotransmitters

A

chemical messengers that decrease the likelihood of a neuron firing an action potential
hyperpolarise the postsynaptic neuron
Example: GABA, glycine (main)

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11
Q

key brain areas in reward processing

A

nucleus accumbens (NAc) → mediates reward motivation
Ventral Tegmental Area (VTA) → Source of dopamine projections.
Prefrontal Cortex (PFC) → Involved in decision-making.
Lateral Habenula (LHb) → Modulates aversive learning

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12
Q

neural projections in reward system

A

Axons project from the VTA to the NAc, forming the mesolimbic dopamine pathway.
These projections are conserved from rats to humans

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13
Q

why use rats in experiments

A

functionally similar to humans
conditioned responses are similar
allows for experimental control

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14
Q

Olds & Milner (1954)

A

implanted electrodes in rats’ nucleus accumbens.
Rats repeatedly returned to areas where they received stimulation.
When trained with a lever, rats preferred stimulation over almost any other behaviour.
= brain has specialised reward centres

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15
Q

Examples of reward research techniques

A

Deep Brain Recordings – Measure neural activity in reward-related regions.
Brain Stimulation – Direct electrical or optogenetic activation.
Optogenetics – Uses light-sensitive proteins to control neurons with high precision

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16
Q

Self stimulation

A

follows a dose-response curve
Higher stimulation → Increased reward value → More pursuit of stimulation

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17
Q

Drugs that affect dopamine and influence self stimulation

A

amphetamine = increases DA = enhance reward value
pimozide =DA antagonist so decreases DA = reduces reward value

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18
Q

Glutamatergic Inputs into the nucleus accumbens

A

amygdala, hippocampus, prefrontal cortex

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19
Q

Dopaminergic input into the nucleus accumbens

A

Ventral tegmental area (VTA)

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20
Q

Nucleus accumebns structure

A

shell - related to pleasure processing
core - goal driected behaviours

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21
Q

GABAergic projections (inhibitory) from the nucleus accumbens

A

sent to ventral pallidum then substantia nigra
affect motor systems

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22
Q

Where do you record levels of neurotransmitter from

A

ventral tegmental area and NAc shell/core because it is the only dopaminergic pathway

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23
Q

EEG technique + cons

A

Measures on scalp
Doesnt work for humans as NAc too deep

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24
Q

fMRI + cons

A

Blood based response
slower than other techniques - delayed
poor spatial resolution
brain area too small
hard to pass ethics

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25
Electrophysiology + cons
records populations of brain cells in deep structures good spatial and temporal resolution Access both action potentials and synpatic activity Hard to differentiate between different afferent projections (amygdala, hippocmpus etc). Makes it hard to distinguish what causes a synaptic event
26
Microdialysis technique
- enables to collect samples of small molecules - Mouse is able to do behavioural tasks as requires chronic implantation of dialysis probe - Involves a small conveyor belt (semipermeable membrane) that allows small molecules like dopmaine to pass through while keeping larger molecules out. - ACSF (artificial cerebrospinal fluid) is continuously pumped to mimic the brains natural environment - neurotransmitters diffuse into the probe from surrounding extracellular fluid. They move in and out based on concentration gradients
27
temporal resolution
how precisely a method can detect changes over time
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spatial resolution
how precisely a method can pinpoint activity in the brain e.g from small areas like neurons
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pros of microdialysis
- probe is small, displaces limited tissue - membrane gives physical barrier between perfusate and tissue (reduces introduction of bacteria) - analyte depletion is less than other techniques meaning can sample dopamine without affecting normal neurotransmission
30
cons of microdialysis
- limited time resolution - midbrain dopamine firing is time locked to stimuli (milliseconds) but NAc DA levels remain elevated for some time (minutes) - can deplete solutes around the probe - could affect responsiveness of substance being tested
31
Hernandez and Hoebel 1988 basic results - operant behaviour
animals learned lever pressing releases food pellet when a light is turned on. Measured dopamine before and during food availability = Increase in dopamine
32
Hernandex and Hoebel 1988 - dopamine levels afterwards (operant)
dopamine levels remained elevated for 40-100 minutes after feeding stopped because of long term potentiation
33
Hernandez and hoebel 1988 conclusion on dopamine (operant)
concluded dopamine facilitates effects on memory encoding and emoitonal/appetitive states
34
Hernandez and Hoebel 1988 basic results - stimulation induced feeding
when food not available, similar response to when it is due to stimulating the lateral hypothalamus which is associated with feeding and appetite
35
Hernandex and Hoebel 1988 - basic conclusion on stimulating feeding
potential appetitive circuit (LH > VTA > NAc > hedonic/pre-motor output).
36
Hernandez and Hoebel 1988 - drugs results
both cocaine and amphetamine increased dopamine
37
Tanda et a 1997 - experiment
recorded NAc DA levels during intravenous drug injections tested the psychoactive compound in cannabis (Δ⁹-THC), a synthetic cannabinoid antagonist and heroin each condition was pre-treated with saline (control), an antagonist that blocks cannabinoid effects or an antagonist that blocks opioid effects (Naloxone)
38
Tanda et al 1997 - findings
- psychoactive compound (Δ⁹-THC) and synthetic cannabinoid agonist increase NAc DA levels - antagonist that blocks cannabinoid effects blocked effects of everything but heroin - opioid anatagonist (Naloxone) blocks everything
39
Tanda et al 1997 - conclusions
- Heroin increases dopamine via opioid receptor activation. - Cannabinoid and opioid systems interact, but are distinct in how they modulate DA release. - These findings help explain why both cannabis and opioids can be addictive—they both increase dopamine levels in the reward pathway.
40
Tanda et al 1997 - brain
when injected into VTA, heroin and Δ⁹-THC act to increase extracellular DA by suppressing inhibitory GABAergic interneurons in the VTA This can be blocked by antagonising (Blocking) opioid receptors on VTA interneurons
41
Ranaldi et al 1999 - basic concept of study
lab animal learn pressing a lever supplies amphetamine/cocaine behaviour is regulated by loading (initial pressing of lever frequently) and maintenance phases (adjusting lever pressing to maintain steady drug intake) If drug dose increases, animal compensates by pressing more
42
Ranaldi et al 1999 - findings
DA levels measured during maintenance, extinction and reinstatement of amphetamine
43
Ranaldi et al 1999 - Relationship Between DA Levels & Drug Seeking
Rats self-administered amphetamine only when NAc DA levels dropped. Drug intake was not time-dependent, meaning rats pressed based on DA levels, not habit
44
Ranaldi et al 1999 - extinction phase
drug removed Da declined, pressing increased = motivation to seek drug was DA dependent
45
Ranaldi et al 1999 - reinstatment
injection of amphetamine single non-contingent amphetamine infusion restored DA levels and restarted exploratory behavior
46
Ranaldi et al 1999 - satiety effect
When DA levels were already high, additional amphetamine had little reinforcing effect. Suggests a saturation point
47
Medial forebrain bundle
white matter tract that flows between VTA and Nac
48
Hedonic hotspots
areas that change pleasure responses to a stimuli
49
Testing hedonic spots
Give animal a stimulus like juice Manipulate activity within hedonic spots and measure behavioural response (e.g. sticking out tongue)
50
Draw picture of afferent projections
Answer: lecture 2 below subheading 'what is required for learning to occur'
51
pre-motor pathway from NAc
dorsolateral ventral pallidium substantia nigra pars reticulata dorsal striatum
52
Reward/emotion pathway from NAc
ventromedial ventral palliduim substantia innominate (part of amygdala) lateral hypothalamus
53
3 dopamine pathways
mesolimbic mesocortical nigrostriatal
54
mesolimbic pathway
VTA → NAc (key role = addiction/pleasure-seeking) Dysfunction = addiction, compulsions
55
mesocortical pathway
VTA → PFC (Key role = executive functions) Dysfunction = Sz, depression, ADHD
56
nigrostriatal pathway
Substantia nigra → dorsal striatum (Key role = motor coordination and voluntary movement) Dysfunction = parkinsons disease
57
normal dopamine transmission
1. dopamine (vesicular) released for presynaptic neurons in nucleus accumbens 2. DA binds to DA receptors on postsynaptic neuron 3. sodium binds to dopamine transporter allowing reabsorbption of excess dopamine into presynaptic neuron
58
Dopamine
acts through G-coupled protein receptors (D1,D2) D1 like - activates adenylyl cyclase increasing intracellular cocnentration of cyclic adenosine monophosphate cAMP ^excitability D2 like - inhibits adenylyl cyclase decreasing intracellular concentration of cAMP and reduced excitability
59
DA transmission with cocaine
1. cocaine blocks dopamine transporter preventing reuptake of dopamine as sodium cannot bind 2. excess dopamine remains in synaptic cleft 3. this = prolonged dopamine signalling and overactive mesolimbic pathway = addictive
60
DA transmission with amphetamine
1. amphetamine acts as a substrate for dopamine transporters 2. it enters the cell via DAT 3. reduces dopamine reuptake = more dopamine in the synaptic cleft 4. amphetamine targets VMAT2 (vesicular monoamine transporter 2) which prevents dopamine being stored in the cleft = dopamine accumulates in the cytoplasm 5. alters the concentration gradient forcing DAT to work in reverse leading to excessive postsynaptic dopamine receptor activation
61
difference between cocaine and amphetamine
cocaine needs dopamine release amphetamine when induced will get rid of dopamine in a way that is independent from any input from the VTA as it just interfered with what is at synaptic level
62
DA transmission with opioids
- GABAergic VTA interneurons regulate dopaminergic VTA neurons - Opioids target u-opioid receptors (MORs) which are found exclusively on GABAergic interneurons in the VTA - These interneurons normally inhibit dopaminergic neurons - When opioids bind to MORs they open potassium channels and GABA interneuorns hyperpolarise LESS GABA = LESS INHIBITION OF DOPAMINERGIC NEURONS = more dopamine (euphoria)
63
DA transmission with cannabis
Endocannabinoids mediate DA release dopmaine-producing neurons in the VTA synthesise and release: AEA (Anandamide) and 2-AG (2-Arachidonoylglycerol) which bind to cannabinoid receptors (CB1) they reduced the inhibition of dopamine neurons Cannabis (THC) mimics 2-AG and acts on CB1, mediating robust inhibition of GABA input to DA
64
DA transmission with nicotine
nicotine causes direct excitation of DA i VTA by activating ACh nicotinic receptors
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Reward prediction error
If an action produces an unpredicted positive outcomes, it is more likely to be repeated No further learning takes place when a reward in entirely predicted by sensory cues - can be applied to Pavlovian and operant conditioning
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Positive RPE
when the reward is better than expected = more dopamine release
67
Negative RPE
when the actual reward is worse than expected = less dopamine
68
Zero RPE
reward matches expectation = no change in dopamine
69
Schultz monkey tests
record extracellular activity from midbrain DA neurons (VTA & SN) while monkeys performed behavioural tasks Naive monkey required to touch level following presentation of a signal light which gives desirable juice reward
70
Reading raster plots
represents firing of neurons at a single time Horizontal rows = single trial aligned to stimulus onset -500 = before event 0-500 = after event
71
before and after learning of reward - DA neurons
Before learning - no reward is predicted so large dopamine spike (conceptual reward prediction error) After learning - conditioned stimulus predicts a reward No reward prediction error. Dopamine occurs at presentation of CS
72
RPE and blocking
learning only happens when there is a surprise, and food is already expected due to CS1, CS2 (light) is blocked from being learned.
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How blocking works
1. neutral stimulus (tone) paired with unconditioned stimulus (food), leads to conditioned response (salivation) 2. second stimulus (light) paired with tone 3. second stimulus (light) should trigger salivation but blocking stops this as tone already fully predicts the reward
74
Stepwise transfer
- transfer of DA signal to earliest predicting CS - DA responds at the time of the CS which predicted the time-discounted reward, even if the actual reward is still far away and the brain calculates future rewards and assigns value to the first predictive cue
75
RPE and risk aversion
monkeys show nonlinear preferences for rewards When rewards are low/medium, animals seek risk when reward is high, animals are risk averse
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midbrain DA and risk
- Medium risk gambles associated with: Moderate midbrain DA activity associated with cue Increased midbrain DA activity at time of reward -Higher risk gambles associated with: High midbrain DA activity associated with cue Reduced midbrain DA activity at time of reward
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Limitation of RPE
timing of DA response may be too quick to carry meaningful information Recent evidence shows the midbrain DA response comprises of 2 phases: unselective transient phase that cues for any potential rewarding salient object and a second phase that codes for reward value of a stimulus
78
Fast scan cyclic voltammetry
↑ DA with positive RPE. ↓ DA with negative RPE. symmetrical encoding - brain treats positive and negative rewards equally
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conditioned response and DA
NAc integrates cortical/subcortical input, synapsing onto VTA-targeted neurons. Coincidence of cortical & DA activity → stronger conditioned responses. DA release is required for corticostriatal plasticity (Lerner & Kreitzer, 2011). Higher DA release (positive RPE) = higher likelihood of learning & memory formation
80
Action selection in basal ganglia
NAc projects to the basal ganglia (BG) to initiate motor programs for reward pursuit. Motor programs are selected based on the strongest bid for activity. Positive RPE = stronger bid in BG = increased likelihood of reward-seeking behavior.