Pergher Valentina, Shalchy Mahsa Alizadeh, Pahor Anja, Van Hulle Marc M, Jaeggi Susanne M, Seitz Aaron R
Department of Neurosciences, Laboratory for Neuro- and Psychophysiology, KU Leuven-University of Leuven, Leuven, Belgium.
Department of Psychology, University of California, Riverside, CA, USA.
J Cogn Enhanc. 2020 Mar;4(1):100-120. doi: 10.1007/s41465-019-00134-7. Epub 2019 May 9.
Working memory training has been a hot topic over the last decade. Although studies show benefits in trained and untrained tasks as a function of training, there is an ongoing debate on the efficacy of working memory training. There have been numerous meta-analyses put forth to the field, some finding overall broad transfer effects while others do not. However, discussion of this research typically overlooks specific qualities of the training and transfer tasks. As such, there has been next to no discussion in the literature on what training and transfer tasks features are likely to mediate training outcomes. To address this gap, here, we characterized the broad diversity of features employed in N-back training tasks and outcome measures in published working memory training studies. Extant meta-analyses have not taken into account the diversity of methodology at this level, primarily because there are too few studies using common methods to allow for a robust meta-analysis. We suggest that these limitations preclude strong conclusions from published data. In order to advance research on working memory training, and in particular, N-back training, more studies are needed that systematically compare training features and use common outcome measures to assess transfer effects.
在过去十年中,工作记忆训练一直是一个热门话题。尽管研究表明,作为训练的一个函数,在经过训练和未经训练的任务中都有好处,但关于工作记忆训练的效果仍在进行辩论。该领域已经提出了许多元分析,一些发现了总体上广泛的迁移效应,而另一些则没有。然而,对这项研究的讨论通常忽略了训练和迁移任务的具体特点。因此,文献中几乎没有讨论哪些训练和迁移任务特征可能介导训练结果。为了填补这一空白,在这里,我们描述了已发表的工作记忆训练研究中N-back训练任务和结果测量所采用的广泛多样的特征。现有的元分析没有考虑到这个层面上方法的多样性,主要是因为使用共同方法的研究太少,无法进行强有力的元分析。我们认为这些局限性排除了从已发表的数据中得出强有力结论的可能性。为了推进对工作记忆训练,特别是N-back训练的研究,需要更多的研究系统地比较训练特征,并使用共同的结果测量来评估迁移效应。