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被动 CNV:挖掘任务相关过程对预期的贡献。

The passive CNV: carving out the contribution of task-related processes to expectancy.

机构信息

Department of General Psychology, University of Padua Padova, Italy.

出版信息

Front Hum Neurosci. 2013 Dec 12;7:827. doi: 10.3389/fnhum.2013.00827. eCollection 2013.

Abstract

In this perspective article, I summarized certain theoretical and methodological issues concerning the investigation of the contribution of cognitive and motor processes to the electrophysiological stimulus-preceding activity. In particular, the question of whether the contingent negative variation (CNV) is a marker reflecting both cognitive expectancy and motor preparation in the S1-S2 paradigms was discussed. New evidence suggests that it is possible to isolate an automatic temporal expectancy-related cognitive mechanism relying on a passive CNV after ruling out the contribution of task-related processes, including motor and decisional processes, to it. This can be achieved by simply manipulating the trial temporal structure according to a probabilistic, oddball distribution. The scientific value of this finding is framed within a historical perspective in the attempt to bridge together the classic literature linking the CNV to stimulus preparation and the more recently published literature linking the CNV to temporal processing.

摘要

在这篇观点文章中,我总结了某些关于研究认知和运动过程对电生理刺激前活动的贡献的理论和方法学问题。特别是,讨论了在 S1-S2 范式中,条件负变(CNV)是否是反映认知期望和运动准备的标记的问题。新的证据表明,通过根据概率的、不均一的分布简单地操纵试验时间结构,有可能在排除与任务相关的过程(包括运动和决策过程)对其的贡献之后,分离出一种依赖于被动 CNV 的自动时间预期相关认知机制。这一发现的科学价值是在历史背景下提出的,试图将经典文献中与刺激准备相关的 CNV 以及最近发表的与时间处理相关的 CNV 文献联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59b5/3859886/2a445589d249/fnhum-07-00827-g0001.jpg

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