Ruiz-Martínez Francisco J, Morales-Ortiz Manuel, Gómez Carlos M
Human Psychobiology Lab, Experimental Psychology Department, University of Seville, Seville, Spain.
J Neurophysiol. 2022 May 1;127(5):1240-1252. doi: 10.1152/jn.00313.2021. Epub 2022 Apr 7.
Predictive coding reflects the ability of the human brain to extract environmental patterns in order to reformulate previous expectations. The present report analyzes through the late N1 auditory component and the postimperative negative variation (PINV) the updating of predictions regarding the characteristics of a new trial, depending on the previous trial history, complexity, and type of trial (standard or deviant). Data were obtained from 31 healthy subjects recorded in a previous study based on two paradigms composed of stimulus sequences of decreasing or increasing frequencies intermingled with the sporadic appearance of unexpected tone endings. Our results showed a higher amplitude for the most complex condition and deviant trials for both the late N1 and PINV components. Additionally, the N1 and PINV presented a different amplitude response to the standard and deviant trials as a function of previous trial history, suggesting a continuous updating of trial categorization. The results suggest that the late N1 and PINV components are involved in the generation of an internal model about the rules of external auditory stimulation. The present study showed a higher amplitude for the late N1 and the PINV with reference to both the prediction performed in auditory paradigms of higher abstraction and the unexpected breaking of the extracted rules. Additionally, both components were modulated depending on the local probability, which would suggest that they are continuously being updated by the previous stimulus history.
预测编码反映了人类大脑提取环境模式以重新制定先前预期的能力。本报告通过晚期N1听觉成分和指令后负变化(PINV),分析了根据先前试验历史、复杂性和试验类型(标准或偏差)对新试验特征的预测更新情况。数据来自先前一项研究中的31名健康受试者,该研究基于两种范式,由频率递减或递增的刺激序列与意外音调结尾的零星出现混合组成。我们的结果显示,对于最复杂的条件以及晚期N1和PINV成分的偏差试验,其振幅更高。此外,N1和PINV对标准试验和偏差试验的振幅响应因先前试验历史而异,表明试验分类在不断更新。结果表明,晚期N1和PINV成分参与了关于外部听觉刺激规则的内部模型的生成。本研究显示,相对于在更高抽象度的听觉范式中进行的预测以及提取规则的意外打破,晚期N1和PINV的振幅更高。此外,这两个成分都根据局部概率进行调制,这表明它们不断被先前的刺激历史所更新。