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A PC-based software test for measuring alcohol and drug effects in human subjects
K C Mills1, K M Parkman, S E Spruill
1Profile Associates, Chapel Hill, NC 27514, USA.
Alcoholism, Clinical and Experimental Research
|December 1, 1996
Summary
A new software-based cognitive test effectively measured alcohol impairment in adults. This visual divided-attention test showed high sensitivity for detecting performance decrements, proving useful for research and fitness-for-duty evaluations.
Area of Science:
- Cognitive Neuroscience
- Human Factors Engineering
- Psychopharmacology
Background:
- Assessing cognitive performance under the influence of substances is crucial for safety-critical tasks.
- Existing tests often rely on hardware or lack sensitivity to subtle impairments.
- A need exists for a standardized, easily distributable cognitive assessment tool.
Purpose of the Study:
- To develop and evaluate a novel software-based visual search and divided-attention test.
- To assess the test's sensitivity to alcohol-induced cognitive impairment.
- To determine the test's utility in research and fitness-for-duty evaluations.
Main Methods:
- A software-based visual divided-attention test using language-free graphic displays was administered.
- 24 healthy adults (21-62 years) participated in a placebo-controlled, dose-response alcohol study.
- A latin-square design was employed with placebo, low (0.48 g/kg/LBM), and moderate (0.72 g/kg/LBM) alcohol doses.
Main Results:
- Significant performance impairments in visual search and divided attention were observed with moderate alcohol doses.
- Rising and falling breath alcohol levels correlated with performance decrements.
- Subjects reported no eye-strain or psychomotor fatigue, unlike with previous tests.
Conclusions:
- The software-based test reliably detects alcohol-induced cognitive impairment.
- Its high sensitivity and PC-based platform facilitate wide distribution for research and testing.
- This tool offers a standardized method for comparing alcohol and drug effects on cognition.