Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence

被引:60
作者
Guggenmos, Matthias [1 ]
Schmack, Katharina [1 ]
Sekutowicz, Maria [1 ]
Garbusow, Maria [1 ]
Sebold, Miriam [1 ]
Sommer, Christian [2 ]
Smolka, Michael N. [2 ,3 ]
Wittchen, Hans-Ulrich [4 ]
Zimmermann, Ulrich S. [2 ]
Heinz, Andreas [1 ]
Sterzer, Philipp [1 ]
机构
[1] Charite, Dept Psychiat & Psychotherapy, D-10117 Berlin, Germany
[2] Tech Univ Dresden, Dept Psychiat & Psychotherapy, D-01069 Dresden, Germany
[3] Tech Univ Dresden, Neuroimaging Ctr, D-01069 Dresden, Germany
[4] Tech Univ Dresden, Inst Clin Psychol & Psychotherapy, D-01069 Dresden, Germany
关键词
CORTICAL GRAY-MATTER; MECHANISMS;
D O I
10.1038/s41398-017-0037-y
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age-and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol-and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20-30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals.
引用
收藏
页数:7
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