Suppr超能文献

个体阿尔法峰值频率与一般认知能力的潜在因素有关。

Individual alpha peak frequency is related to latent factors of general cognitive abilities.

机构信息

Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.

出版信息

Neuroimage. 2013 Oct 1;79:10-8. doi: 10.1016/j.neuroimage.2013.04.059. Epub 2013 Apr 25.

Abstract

Some eighty years after the discovery of the human electroencephalogram (EEG) and its dominant rhythm, alpha (~10Hz), the neurophysiological functions and behavioral correlates of alpha oscillations are still under debate. Similarly, the biological mechanisms contributing to the general factor of intelligence, or g, have been under scrutiny for decades. Individual alpha frequency (IAF), a trait-like parameter of the EEG, has been found to correlate with individual differences in cognitive performance and cognitive abilities. Informed by large-scale theories of neural organization emphasizing the general functional significance of oscillatory activity, the present study replicates and extends these findings by testing the hypothesis that IAF is related to intelligence at the level of g, rather than at the level of specific cognitive abilities. Structural equation modeling allowed us to statistically control for measurement error when estimating the association between IAF and intellectual functioning. In line with our hypothesis, we found a statistically reliable and substantial correlation between IAF and g (r=.40). The magnitude of this correlation did not differ significantly between younger and older adults, and captured all of the covariation between IAF and the cognitive abilities of reasoning, memory, and perceptual speed. The observed association between IAF and g provides a parsimonious explanation for the commonly observed diffuse pattern of correlations between IAF and cognitive performance. We conclude that IAF is a marker of global architectural and functional properties of the human brain.

摘要

在发现人类脑电图(EEG)及其主导节律 alpha(~10Hz)大约 80 年后,alpha 振荡的神经生理功能和行为相关性仍在争论中。同样,为智力的一般因素 g 做出贡献的生物学机制也已经受到了几十年的审查。个体 alpha 频率(IAF)是 EEG 的一个特征参数,已被发现与认知表现和认知能力的个体差异相关。本研究以强调振荡活动普遍功能意义的大规模神经组织理论为指导,通过测试 IAF 与 g 水平的智力相关,而不是与特定认知能力相关的假设,复制和扩展了这些发现。结构方程建模允许我们在估计 IAF 与智力之间的关联时统计控制测量误差。与我们的假设一致,我们发现 IAF 与 g 之间存在统计学上可靠且显著的相关性(r=.40)。这种相关性的大小在年轻和老年成年人之间没有显著差异,并且捕获了 IAF 与推理、记忆和知觉速度等认知能力之间的所有协方差。IAF 与 g 之间的观察到的关联为 IAF 与认知表现之间常见的弥散相关模式提供了一个简洁的解释。我们得出结论,IAF 是人类大脑整体结构和功能特性的标志。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验