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An Introduction to Reward and Addiction

概要

Consequences play a major role in controlling our behavior. If the consequence is a reward, then it encourages the associated behavior. Rewards can come in many forms such as a pleasant feeling, money, or food. However, sometimes an individual engages in compulsive behavior despite of negative consequences, and this state is known as addiction. Administration of addictive substances is neurochemically rewarding, which ultimately causes a loss of control in limiting the intake. Scientists aim to better understand the mechanisms behind these concepts and subsequently develop new therapies for treating substance abuse disorders.

JoVE's introduction to reward and addiction explains the neuroanatomical components of the reward pathway. This is followed by some of the important questions asked by behavioral researchers such as how does our brain chemistry change in response to drug use. Prominent methods section reviews some of the tools being employed in the field, like self-administration protocols. Finally, the video discusses example experiments conducted in labs interested in investigating reward and addiction.

手順

Humans and animals frequently engage in behavior, which is motivated by reward. An example of such a behavior is increased intake, which is often repeated due to pleasurable feelings induced by the rewarding substance. There are two types of rewards: natural and artificial. Examples of natural rewards are food and social interactions, whereas artificial rewards can come from the use of drugs or alcohol.

Addiction is a state in which an organism engages in compulsive behavior despite being faced with negative cons

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タグ
RewardAddictionBehaviorMotivationIntakePleasurable FeelingsNatural RewardsArtificial RewardsDrugsAlcoholCompulsive BehaviorNegative ConsequencesNeurochemistryLoss Of ControlNeuroanatomyReward PathwayMesolimbic Dopamine SystemNeurotransmitter DopamineVentral Tegmental Area VTAAmygdala

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0:00

Overview

1:11

Neural Correlates of Reward

2:57

Key Questions

5:10

Prominent Methods

7:10

Applications

9:16

Summary

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