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首页> 外文期刊>Neurobiology of Aging: Experimental and Clinical Research >The relation between Scrabble expertise and brain aging as measured with EEG brain signal variability
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The relation between Scrabble expertise and brain aging as measured with EEG brain signal variability

机译：用EEG脑信号变异测量的糖椒专业知识和脑老化的关系

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Recent empirical work suggests that the dynamics of brain function, as measured by brain signal variability, differs between younger and older adults. We extended this work by examining how the relationship between brain signal variability and age is altered in the context of expertise. We recorded electroencephalography from Scrabble experts and controls during a visual word recognition task. To measure variability, we used multiscale entropy, which emphasizes the way brain signals behave over a range of timescales and can differentiate the variability of a complex system (the brain) from a purely random system. We replicated previously identified shifts from long-range interactions among neural populations to more local processing in late adulthood. In addition, we demonstrated an age-related increase in midrange neural interactions for experts, suggesting greater maintenance of network integration into late adulthood. Our results indicate that expertise-related differences in the context of age and brain dynamics occur across different timescales and that these differences are linked to task performance.
机译：最近的实证工作表明，通过脑信号变异性测量，脑功能的动态变化，年轻人和老年人之间的不同。我们通过检查脑信号变异性与年龄之间的关系在专业知识的背景下改变了如何改变这项工作。在视觉字识别任务期间，我们从拼字游戏专家和控制中记录了脑电图。为了测量可变性，我们使用了多尺度熵，这强调了脑信号在一系列时间尺度范围内的方式，并且可以区分复杂系统（大脑）的可变性纯粹随机系统。我们将先前确定的神经群体之间的远程相互作用的转变转移到成年晚期的更多本地处理。此外，我们证明了专家中型神经网络中的年龄相关的增加，表明将网络整合的更大维护到已故的成年期。我们的结果表明，年龄和脑动力学背景下的专业知识相关差异发生在不同的时间表中，并且这些差异与任务表现有关。

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