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首页> 外文期刊>NeuroImage >Millisecond by millisecond, year by year: normative EEG microstates and developmental stages.
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Millisecond by millisecond, year by year: normative EEG microstates and developmental stages.

机译:逐毫秒,逐年毫秒:规范的EEG微状态和发展阶段。

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摘要

Most studies of continuous EEG data have used frequency transformation, which allows the quantification of brain states that vary over seconds. For the analysis of shorter, transient EEG events, it is possible to identify and quantify brain electric microstates as subsecond time epochs with stable field topography. These microstates may correspond to basic building blocks of human information processing. Microstate analysis yields a compact and comprehensive repertoire of short lasting classes of brain topographic maps, which may be considered to reflect global functional states. Each microstate class is described by topography, mean duration, frequency of occurrence and percentage analysis time occupied. This paper presents normative microstate data for resting EEG obtained from a database of 496 subjects between the age of 6 and 80 years. The extracted microstate variables showed a lawful, complex evolution with age. The pattern of changes with age is compatible with the existence of developmental stages as claimed by developmental psychologists. The results are discussed in the framework of state dependent information processing and suggest the existence of biologically predetermined top-down processes that bias brain electric activity to functional states appropriate for age-specific learning and behavior.
机译:对连续EEG数据的大多数研究都使用频率变换,该变换可以量化随时间变化的大脑状态。为了分析较短的短暂脑电图事件,有可能以亚秒级时间周期识别和量化脑电微状态,并具有稳定的场形。这些微状态可能对应于人类信息处理的基本构建块。微状态分析产生了短期类别的大脑地形图的紧凑而全面的库,可以将其视为反映整体功能状态。每个微状态类别均通过地形,平均持续时间,出现频率和所占百分比分析时间来描述。本文介绍了从496位年龄在6至80岁之间的受试者的数据库中获得的静息EEG的规范性微状态数据。提取的微状态变量显示出随着年龄的增长规律,复杂的进化过程。年龄变化的模式与发展心理学家所声称的发展阶段相适应。在状态依赖型信息处理的框架内讨论了结果,并暗示了生物学上预定的自上而下的过程的存在,这些过程使大脑电活动偏向适合特定年龄的学习和行为的功能状态。

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