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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
Decision making about alcohol use: the case for scientific convergence
Richard R Reich1, Mark S Goldman2
1University of South Florida Sarasota-Manatee, Sarasota, FL, United States.
Cognitive assessments accurately predict alcohol consumption by examining anticipatory information processing. This research synthesizes findings across neurobiology, learning, and behavior, suggesting applications for alcohol prevention and treatment strategies.
Area of Science:
- Cognitive Neuroscience
- Behavioral Psychology
- Neurobiology
Background:
- Cognitive processes significantly influence alcohol consumption decisions.
- Existing assessment tools effectively predict drinking behavior.
- These tools, though varied, may share a common cognitive construct.
Purpose of the Study:
- To identify a unifying cognitive theme across different assessment tools for alcohol consumption.
- To explore the role of anticipatory information processing in the decision to drink alcohol.
- To review evidence for anticipatory processing and its potential applications in interventions.
Main Methods:
- Literature review synthesizing research on cognitive processes and alcohol consumption.
- Analysis of assessment tools and their theoretical underpinnings.
- Examination of evidence from neurobiology, learning, memory, and behavioral choice.
Main Results:
- Anticipatory information processing emerges as a shared theme among various cognitive constructs related to drinking.
- Evidence suggests anticipatory processes causally influence alcohol consumption.
- These cognitive processes operate across multiple levels of analysis.
Conclusions:
- A unified understanding of anticipatory information processing can explain cognitive influences on drinking.
- This framework offers potential for developing targeted prevention and treatment strategies for alcohol misuse.
- Further research can refine interventions based on anticipatory processing mechanisms.
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