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神经预测机制可预测更快的反应时间和更高的流体智力。

Neural anticipatory mechanisms predict faster reaction times and higher fluid intelligence.

机构信息

Department of Psychology, University of Utah, Salt Lake City, Utah.

出版信息

Psychophysiology. 2019 Oct;56(10):e13426. doi: 10.1111/psyp.13426. Epub 2019 Jun 26.

Abstract

Higher cognitive ability is reliably linked to better performance on chronometric tasks (i.e., faster reaction times, RT), yet the neural basis of these effects remains unclear. Anticipatory processes represent compelling yet understudied potential mechanisms of these effects, which may facilitate performance through reducing the uncertainty surrounding the temporal onset of stimuli (temporal uncertainty) and/or facilitating motor readiness despite uncertainty about impending target locations (target uncertainty). Specifically, the contingent negative variation (CNV) represents a compelling candidate mechanism of anticipatory motor planning, while the alpha oscillation is thought to be sensitive to temporal contingencies in perceptual systems. The current study undertook a secondary analysis of a large data set (n = 91) containing choice RT, cognitive ability, and EEG measurements to help clarify these issues. Single-trial EEG analysis in conjunction with mixed-effects modeling revealed that higher fluid intelligence corresponded to faster RT on average. When considered together, temporal and target uncertainty moderated the RT-ability relationship, with higher ability being associated with greater resilience to both types of uncertainty. Target uncertainty attenuated the amplitude of the CNV for all participants, but higher ability individuals were more resilient to this effect. Similarly, only higher ability individuals showed increased prestimulus alpha power (at left-lateralized sites) during longer, more easily anticipated interstimulus intervals. Collectively, these findings emphasize top-down anticipatory processes as likely contributors to chronometry-ability correlations.

摘要

更高的认知能力与计时任务(即更快的反应时间,RT)的更好表现可靠相关,但这些影响的神经基础仍不清楚。预期过程代表了这些影响的引人注目的但研究不足的潜在机制,它可以通过减少刺激时间起始的不确定性(时间不确定性)和/或促进运动准备,即使对即将到来的目标位置存在不确定性(目标不确定性)来促进表现。具体来说,条件负变(CNV)代表了预期运动计划的引人注目的候选机制,而阿尔法振荡被认为对感知系统中的时间关系敏感。本研究对包含选择 RT、认知能力和 EEG 测量的大型数据集(n=91)进行了二次分析,以帮助澄清这些问题。结合混合效应模型的单次试验 EEG 分析表明,更高的流体智力平均对应更快的 RT。当一起考虑时,时间和目标不确定性调节了 RT-能力关系,更高的能力与对这两种类型的不确定性的更大弹性相关。目标不确定性减弱了所有参与者的 CNV 幅度,但更高能力的个体对这种影响更有弹性。同样,只有更高能力的个体在更长、更容易预期的刺激间隔期间表现出增加的刺激前阿尔法功率(在左侧化部位)。总的来说,这些发现强调了自上而下的预期过程是计时能力相关性的可能贡献者。

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