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Training Executive Functions: Lessons Learned from Prefrontal Cortex Physiology

训练执行功能：前额皮质生理学的经验教训

基本信息

批准号：
290922533
负责人：
Professorin Dr. Gesine Dreisbach
金额：
--
依托单位：
Department of Psychology
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2019-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/290922533?language=en
关键词：
Training Executive Functions Lessons Learned

项目摘要

Executive functions (EFs) enable us to flexibly adjust our thoughts and actions according to rapidly changing constraints to optimize goal attainment. EF rely on a network of brain areas including the prefrontal cortex (PFC) and are heavily involved in complex problem solving, cognitive development, and aging-related cognitive decline. Moreover, most psychopathological problems go along with impairments in EF. Consequently, there has been growing interest in finding ways to improve EF, with special attention given to computerized training. However, the results so far are equivocal. Some reviews have reached optimistic conclusions. Yet, meta-analytic reviews indicate that while there are reliable practice effects (improvement seen in the training task) and relatively modest near transfer effects (improvement in structurally similar tasks), far transfer effects (improvements in structurally dissimilar tasks that presumably tap the trained EF) are predominantly tiny. We argue that the design of most of the current computerized EF training programs is not well grounded in extant theories of PFC neurophysiology. In this research project we will test two related hypotheses concerning why the success of computerized training had so far proven very modest: (1) From PFC physiology, far transfer is not to be expected in the first place unless the abstract task structure that is learned during training is mirrored in the transfer task. (2) How EF-training is currently designed results in negative transfer effects (performance deterioration due to practice) which mask the (already quite small) beneficial transfer effects. These negative transfer effects occur because (a) the application of (instructed task rules) increases shielding and (b) because the repetitive nature of the training (constant repetition of a small number of training tasks) minimizes the involvement of EF.

执行功能(EFS)使我们能够根据快速变化的约束条件灵活地调整我们的思想和行动，以优化目标实现。EF依赖于包括前额叶皮质(PFC)在内的大脑区域网络，并在很大程度上参与复杂问题的解决、认知发展和与衰老相关的认知下降。此外，大多数精神病理问题都伴随着EF的损害。因此，人们越来越有兴趣寻找提高EF的方法，并特别注意计算机化的培训。然而，迄今为止的结果是模棱两可的。一些评论得出了乐观的结论。然而，元分析回顾表明，虽然存在可靠的练习效应(在训练任务中看到的改善)和相对温和的近迁移效应(结构相似任务的改善)，但远迁移效应(结构不同的任务中可能利用训练后的EF的改善)主要是微小的。我们认为，目前大多数计算机化EF训练程序的设计并不是基于现有的PFC神经生理学理论。在这项研究项目中，我们将检验两个相关的假设，即为什么到目前为止，计算机化训练的成功被证明是非常有限的：(1)从PFC生理学角度来看，除非在训练中学习的抽象任务结构反映在迁移任务中，否则从一开始就不会期望远迁移。(2)EF训练目前的设计方式导致了负迁移效应(由于练习而导致的成绩下降)，掩盖了(已经相当小的)有益迁移效应。这些负迁移效应的产生是因为(A)(指导任务规则)的应用增加了屏蔽性，以及(B)训练的重复性(少量训练任务的不断重复)最大限度地减少了EF的参与。