Brain alcohol detectability in human subjects with and without a paternal history of alcoholism.
- Authors
- Chiu, Tak-Ming; Mendelson, Jack H; Sholar, Michelle B; Mutschler, Nicole H; Wines, James D; Hesselbrock, Victor M; Mello, Nancy K
- Year
- 2004
- Journal
- Journal of studies on alcohol
- PMID
- 15000499
- DOI
- 10.15288/jsa.2004.65.16
OBJECTIVE: This study examined the putative effects of a paternal history of alcoholism on the apparent detectability of brain alcohol in human subjects. METHOD: Brain to blood ethanol ratios in two cohorts of men were determined, using proton magnetic resonance spectroscopic imaging in a brain voxel (2 x 2 x 2 cm) containing the putamen. The men were light drinkers with a positive (n = 8) or a negative (n = 8) paternal history of alcoholism and were given an alcohol dose of 0.8 g/kg body weight. RESULTS: In both groups, brain alcohol detectability was less than 100%. No significant difference (p = .37) was found in the brain/blood ethanol ratios of the two groups. However, subjective assessments of feeling the extreme effects of alcohol and the extent of intoxication ("how drunk") were highly correlated with a paternal history of alcoholism, with the paternal history negative group reporting significantly more intense feelings of intoxication. CONCLUSIONS: A review of existing literature evidence and data obtained in this study indicate that brain alcohol detectability via magnetic resonance spectroscopic imaging is less than 100%. There were no significant differences in brain alcohol detectability between paternal history positive and paternal history negative men. Differences in the Subjective High Assessment Scale ratings between the two groups, however, indicate the importance of a genetic influence on the subjective response to alcohol.
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models. | Maruyama S et al. | β | 2025 | β |
| In situ postmortem ethanol quantification in the cerebrospinal fluid by non-water-suppressed proton MRS. | Zoelch N et al. | β | 2019 | β |
| A preliminary study on the effects of acute ethanol ingestion on default mode network and temporal fractal properties of the brain. | Weber AM et al. | β | 2014 | β |
| Chronic ethanol (EtOH) consumption differentially alters gray and white matter EtOH methyl ΒΉH magnetic resonance intensity in the primate brain. | Kroenke CD et al. | β | 2013 | β |
| fMRI differences between subjects with low and high responses to alcohol during a stop signal task. | Schuckit MA et al. | β | 2012 | β |
| Sex differences in how a low sensitivity to alcohol relates to later heavy drinking. | Schuckit MA et al. | β | 2012 | β |
| Subjective response to alcohol challenge: a quantitative review. | Quinn PD et al. | β | 2011 | β |
| Quantification of ethanol methyl (1)H magnetic resonance signal intensity following intravenous ethanol administration in primate brain. | Flory GS et al. | β | 2010 | β |
| The use of magnetic resonance spectroscopy and magnetic resonance imaging in alcohol research. | Nagel BJ et al. | β | 2008 | β |
| Standardization of alcohol calculations in research. | Brick J | β | 2006 | β |
| A cross-generational comparison of alcohol challenges at about age 20 in 40 father-offspring pairs. | Schuckit MA et al. | β | 2005 | β |
| An expanded evaluation of the relationship of four alleles to the level of response to alcohol and the alcoholism risk. | Hu X et al. | β | 2005 | β |
| Magnetic resonance spectroscopic studies of alcoholism: from heavy drinking to alcohol dependence and back again. | Mason G et al. | β | 2005 | β |
| Testing the level of response to alcohol: social information processing model of alcoholism risk--a 20-year prospective study. | Schuckit MA et al. | β | 2004 | β |
| The search for genes contributing to the low level of response to alcohol: patterns of findings across studies. | Schuckit MA et al. | β | 2004 | β |