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Model-based analysis and quantification of age trends in auditory evoked potentials.

机译:基于模型的分析和量化听觉诱发电位的年龄趋势。

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OBJECTIVE: The physiological basis for the changes in auditory evoked potentials (AEPs) during development and aging is currently unknown. This study investigates age- and task-related changes via a mathematical model of neuronal activity, which allows a number of physiological changes to be inferred. METHODS: A quantitative, physiology-based model of activity in cortical and thalamic neurons was used to analyze oddball AEPs recorded from 1498 healthy subjects aged 6-86 years. RESULTS: Differences between standard and target responses can be largely explained by differences in connection strengths between thalamic and cortical neurons. The time it takes signals to travel between the thalamus and cortex decreases during development and increases during aging. Strong age trends are also seen in intracortical and thalamocortical neuronal connection strengths. CONCLUSIONS: Changes in AEP latency can be attributed to changes in the thalamocortical signal propagation time. Large changes in the connection strengths between neuronal populations occur during development, resulting in increased thalamocortical inhibition and decreased thalamocortical excitation. Standard and target parameters are similar in children but diverge during adolescence, due to changes in thalamocortical loop activity. SIGNIFICANCE: Model-based AEP analysis links age-related changes in brain electrophysiology to underlying changes in brain anatomy and physiology, and yields quantitative predictions of several currently unknown physiological and anatomical properties of the brain.
机译:目的:在发育和衰老过程中,听觉诱发电位(AEP)变化的生理基础目前尚不清楚。这项研究通过神经元活动的数学模型研究了与年龄和任务相关的变化,这可以推断出许多生理变化。方法:采用基于生理学的定量活动模型,对皮层和丘脑神经元活动进行分析,分析了1498名6-86岁健康受试者的奇异球AEP。结果:标准和目标反应之间的差异可以很大程度上由丘脑和皮层神经元之间的连接强度的差异来解释。信号在丘脑和皮质之间传播所需的时间在发育过程中减少,在衰老过程中增加。皮层内和丘脑皮层神经元连接强度也显示出强劲的年龄趋势。结论:AEP潜伏期的变化可归因于丘脑皮质信号传播时间的变化。神经元种群之间的连接强度在发育过程中发生了很大的变化,导致丘脑皮质抑制作用增强和丘脑皮质兴奋降低。儿童的标准参数和目标参数相似,但由于丘脑皮层loop回活动的变化,在青春期会有所不同。重要性:基于模型的AEP分析将与年龄相关的大脑电生理学变化与大脑解剖学和生理学的潜在变化联系起来,并对大脑当前几种未知的生理学和解剖学特性进行定量预测。

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