Drinking Patterns

Drinking patterns describe the timing, frequency, quantity, and context of alcohol consumption, providing a behavioral framework for studying how alcohol use affects the brain. In neuroscience, researchers examine how repeated exposure engages reward, stress, and habit-related circuits while altering interactions between motivational signals and prefrontal control over behavior. Patterns such as occasional, binge, or chronic drinking can produce different effects on neural signaling, learning, decision-making, and risk of dependence. Characterizing these patterns supports research on alcohol use disorders, helps distinguish acute from long-term brain changes, and informs prevention strategies, behavioral interventions, and treatments tailored to individual patterns of use.

Drinking Patterns - Related Videos

Research

JoVE Journal - Medicine

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

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Cited by 22 •

2019

Alcohol Use Disorder (AUD) is a major national health problem and the development of more effective treatments is required to offset the needs of this patient population. To this end, the following protocol utilizes two simple rodent drinking models to assess the preclinical efficacy of lead anti-alcohol compounds.

Research

JoVE Journal - Neuroscience
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Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

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2025

Kinematic metrics of the drinking task have been recommended for use in upper limb stroke rehabilitation, but conventional approaches to kinematic studies are considered impractical. The current protocol describes a web-based guide to capture videos of the drinking task, which are compatible with computer vision to extract recommended kinematic metrics.

Research

JoVE Journal - Environment
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Preparation and Testing of Impedance-based Fluidic Biochips with RTgill-W1 Cells for Rapid Evaluation of Drinking Water Samples for Toxicity

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Cited by 12 •

2016

This manuscript describes how to prepare fluidic biochips with Rainbow trout gill epithelial cells for use in a field portable electric cell-substrate impedance sensor. The protocol for running a rapid drinking water toxicity test with the sensor is also described.

Research

JoVE Journal - Neuroscience
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Cross-Modal Multivariate Pattern Analysis

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Cited by 5 •

2011

Classical multivariate pattern analysis predicts sensory stimuli a subject perceives from neural activity in the corresponding cortices (e.g. visual stimuli from activity in visual cortex). Here, we apply pattern analysis cross-modally and show that sound- and touch-implying visual stimuli can be predicted from activity in auditory and somatosensory cortices, respectively.

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