Implicit measures of "wanting" and "liking" in humans

Area of Science:

• Neuroscience
• Psychology
• Addiction Research

Background:

• Incentive Sensitization Theory (IST) posits a common dopamine system underlies drug "wanting" (incentive salience) and "liking" (hedonic experience).
• Repeated drug use sensitizes this system, increasing "wanting" and contributing to addiction, while "liking" may decrease.
• The dissociation between "wanting" and "liking" is crucial for understanding addiction, with "wanting" playing a primary role.

Purpose of the Study:

• To critically evaluate the validity of implicit behavioral measures in assessing "wanting" and "liking" in humans, as proposed by IST.
• To review and synthesize findings from studies examining the dissociation between "wanting" and "liking" using implicit measures.
• To address discrepancies in research results and provide recommendations for improving theory and methodology in IST research.

Main Methods:

• Review of existing literature on Incentive Sensitization Theory (IST) and its predictions regarding "wanting" and "liking".
• Analysis of studies employing implicit behavioral measures such as the Implicit Association Test (IAT), Approach-Avoidance Task (AAT), Stimulus-Response Compatibility (SRC) tasks, and Affective Simon Tasks (AST).
• Examination of correlational, quasi-experimental, and experimental studies investigating the relationship between implicit measures and "wanting"/"liking" constructs.

Main Results:

• Studies testing IST predictions using implicit measures have yielded equivocal results regarding the dissociation of "wanting" and "liking".
• There is ongoing debate about whether current implicit measures accurately capture the theoretical constructs of "wanting" and "liking" as defined by IST.
• Discrepancies exist in correlating implicit "wanting" scores with drug consumption and implicit "liking" scores with subjective pleasure.

Conclusions:

• The validity and utility of current implicit measures in assessing "wanting" and "liking" within the framework of IST require further investigation.
• Recommendations are made to refine both the theoretical definitions and methodological approaches used in implicit measure research for IST.
• Future research should focus on improving the precision of implicit measures to better understand the neurobiological underpinnings of drug addiction.