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Age-related difference in use-dependent plasticity after divergent thinking session matches posterior-anterior shift in aging (PASA) model

机译:思维方式不同后,与年龄相关的使用依赖性可塑性与衰老后后移(PASA)模式匹配

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Repetitive cognitive activity has the potential to improve cognitive functioning through neuroplasticity. Despite evidence for task-specific traces after task performance in young adults, age differences of experience-related neuroplasticity remains understudied. Common patterns of age-related changes in brain activity across a variety of cognitive functions suggest the hemispheric asymmetry reduction in older adults (HAROLD) and the posterior-to-anterior shift in aging (PASA). We can expect that those models appear as age specificity of experience-related neuroplasticity. The aim of the current study was to investigate the age-related specificity in use-dependent changes between pre-training and post-training baseline alpha EEG rhythm measures. 31 younger (Mean age = 21.3) and 30 older adults (Mean age=64.2) underwent a divergent thinking training session with concomitant 52-channel EEG registration. Upper alpha power was calculated via Fourier transform; current source density estimates and statistical nonparametric mapping were calculated via LORETA. Alpha power increased from baseline to post-session interval in the both age groups, indicating use-dependent plasticity. The anterior-posterior gradient (posterior>anterior) of alpha power increases from baseline to post-session interval in the left hemisphere was more pronounced in younger adults, than in older. Use-dependent plasticity has the same pattern of age differences as PASA postulates, that is, decrease in posterior coupled with increase in anterior areas. The results emphasize that PASA model reflects a global age-associated shift in brain function.
机译:重复性认知活动具有通过神经可塑性改善认知功能的潜力。尽管有证据表明在年轻人中执行任务后有特定于任务的痕迹,但与经验相关的神经可塑性的年龄差异仍未得到研究。在各种认知功能中,与大脑活动有关的年龄相关变化的常见模式表明,老年人的半球不对称性降低(HAROLD)和衰老的前后变化(PASA)。我们可以期望这些模型表现为与经验相关的神经可塑性的年龄特异性。本研究的目的是研究在训练前和训练后基线αEEG节奏测量之间的使用依赖变化中年龄相关的特异性。 31名年轻人(平均年龄= 21.3)和30名成年人(平均年龄= 64.2)接受了不同的思维训练,并同时进行了52通道脑电图注册。通过傅立叶变换计算出较高的alpha幂;当前的源密度估计和统计非参数映射是通过LORETA计算的。在两个年龄段中,从基线到治疗后的间隔,α功率都增加,表明使用依赖可塑性。从基线到赛后间隔,左半球的α力量的前后梯度(前>前)在年轻人中比在老年人中更为明显。取决于用途的可塑性具有与PASA假定的年龄差异相同的模式,即后部减少与前部区域增加。结果强调,PASA模型反映了脑功能的整体年龄相关变化。

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