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使用斯特恩伯格记忆扫描任务评估的处理速度和工作记忆速度的个体差异。

Individual differences in processing speed and working memory speed as assessed with the Sternberg memory scanning task.

机构信息

Department of Biological Psychology, VU University Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.

出版信息

Behav Genet. 2010 May;40(3):315-26. doi: 10.1007/s10519-009-9315-7. Epub 2009 Nov 29.

Abstract

The Sternberg Memory Scanning (SMS) task provides a measure of processing speed (PS) and working memory retrieval speed (WMS). In this task, participants are presented with sets of stimuli that vary in size. After a delay, one item is presented, and participants indicate whether or not the item was part of the set. Performance is assessed by speed and accuracy for both the positive (item is part of the set) and the negative trials (items is not part of the set). To examine the causes of variation in PS and WMS, 623 adult twins and their siblings completed the SMS task. A non-linear growth curve (nLGC) model best described the increase in reaction time with increasing set size. Genetic analyses showed that WMS (modeled as the Slope in the nLGC model) has a relatively small variance which is not due to genetic variation while PS (modeled as the Intercept in the nLGC model) showed large individual differences, part of which could be attributed to additive genetic factors. Heritability was 38% for positive and 32% for negative trials. Additional multivariate analyses showed that the genetic effects on PS for positive and negative trials were completely shared. We conclude that genetic influences on working memory performance are more likely to act upon basic processing speed and (pre)motoric processes than on the speed with which an item is retrieved from short term memory.

摘要

斯特恩伯格记忆扫描(SMS)任务提供了一种测量处理速度(PS)和工作记忆检索速度(WMS)的方法。在这个任务中,参与者会看到一系列不同大小的刺激物。延迟后,会呈现一个项目,参与者需要指出该项目是否是该集合的一部分。表现通过正(项目是集合的一部分)和负(项目不是集合的一部分)试验的速度和准确性来评估。为了研究 PS 和 WMS 变化的原因,623 名成年双胞胎及其兄弟姐妹完成了 SMS 任务。非线性增长曲线(nLGC)模型最能描述随着集合大小的增加反应时间的增加。遗传分析表明,WMS(模型为 nLGC 模型中的斜率)的方差相对较小,这不是由于遗传变异引起的,而 PS(模型为 nLGC 模型中的截距)则表现出较大的个体差异,其中一部分可以归因于加性遗传因素。正试验和负试验的遗传率分别为 38%和 32%。进一步的多元分析表明,正试验和负试验的 PS 的遗传效应完全共享。我们得出结论,遗传对工作记忆表现的影响更有可能作用于基本的处理速度和(预)运动过程,而不是作用于从短期记忆中检索项目的速度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e74/2853698/93b7033eb7a1/10519_2009_9315_Fig1_HTML.jpg

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