Literature DB >> 16737464

Both global gray matter volume and regional gray matter volume negatively correlate with lifetime alcohol intake in non-alcohol-dependent Japanese men: a volumetric analysis and a voxel-based morphometry.

Yasuyuki Taki1, Shigeo Kinomura, Kazunori Sato, Ryoi Goto, Kentaro Inoue, Ken Okada, Shuichi Ono, Ryuta Kawashima, Hiroshi Fukuda.   

Abstract

BACKGROUND: Non-alcohol-dependent heavy drinkers, as well as alcohol-dependent individuals, show brain atrophy. The purpose of this study was to evaluate whether there are correlations between global and regional gray matter volumes and the lifetime alcohol intake using volumetric analysis and voxel-based morphometry (VBM) among Japanese non-alcohol-dependent male individuals.
METHODS: High-resolution three-dimensional magnetic resonance images were acquired from 405 Japanese non-alcohol-dependent male individuals. The collected images were normalized, segmented for volumetric analysis, and additionally smoothed for VBM. For volumetric analysis, the partial correlation coefficient was estimated between the gray matter ratio, which represents the percentage of gray matter volume in the intracranial volume, and the lifetime alcohol intake adjusted for the age of each subject. Multiple regression analysis was performed among regional gray matter volume, lifetime alcohol intake, and age using VBM.
RESULTS: Volumetric analysis revealed that gray matter ratio showed a negative correlation with the lifetime alcohol intake adjusted for age (p=0.059, partial correlation coefficient=-0.091). The VBM revealed that the gray matter volumes of the bilateral middle frontal gyri showed a significant negative correlation with the lifetime alcohol intake adjusted for age and systolic blood pressure (left side, p=0.006, Z=4.77; right side, p=0.023, Z=4.45, and p=0.046, Z=4.27).
CONCLUSIONS: Our study suggests that non-alcohol-dependent Japanese male individuals show that both global gray matter volume and regional gray matter volume have negative correlations with the lifetime alcohol intake. Our study may contribute to clarifying the mechanism underlying the brain structural changes because of alcohol influence in healthy non-alcohol-dependent individuals.

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Year:  2006        PMID: 16737464     DOI: 10.1111/j.1530-0277.2006.00118.x

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  27 in total

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Review 2.  Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking.

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Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

3.  Age prediction on the basis of brain anatomical measures.

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4.  Correlation between degree of white matter hyperintensities and global gray matter volume decline rate.

Authors:  Yasuyuki Taki; Shigeo Kinomura; Kazunori Sato; Ryoi Goto; Kai Wu; Ryuta Kawashima; Hiroshi Fukuda
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

5.  Correlation between pulmonary function and brain volume in healthy elderly subjects.

Authors:  Yasuyuki Taki; Shigeo Kinomura; Satoru Ebihara; Benjamin Thyreau; Kazunori Sato; Ryoi Goto; Masako Kakizaki; Ichiro Tsuji; Ryuta Kawashima; Hiroshi Fukuda
Journal:  Neuroradiology       Date:  2013-02-26       Impact factor: 2.804

6.  Alcohol intake and brain structure in a multiethnic elderly cohort.

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7.  Brain size, sex, and the aging brain.

Authors:  Lutz Jäncke; Susan Mérillat; Franziskus Liem; Jürgen Hänggi
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8.  Association of alcohol consumption with brain volume in the Framingham study.

Authors:  Carol Ann Paul; Rhoda Au; Lisa Fredman; Joseph M Massaro; Sudha Seshadri; Charles Decarli; Philip A Wolf
Journal:  Arch Neurol       Date:  2008-10

Review 9.  Ethanol and cognition: indirect effects, neurotoxicity and neuroprotection: a review.

Authors:  John C M Brust
Journal:  Int J Environ Res Public Health       Date:  2010-04-04       Impact factor: 3.390

10.  Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: relations to timed performance.

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Journal:  Neurobiol Aging       Date:  2008-05-20       Impact factor: 4.673

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