Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Laboratory of Behavioural Neurodynamics, Saint Petersburg State University, St. Petersburg, Russia; Department of General Psychology, Faculty of Psychology, Saint Petersburg State University, St. Petersburg, Russia.
Neuropsychologia. 2022 Jul 29;172:108268. doi: 10.1016/j.neuropsychologia.2022.108268. Epub 2022 May 13.
It has been claimed that two major neurocognitive mechanisms - instruction-based explicit encoding (EE) and inference-driven fast mapping (FM) may be involved in rapid acquisition of novel words, but their exact neural underpinnings remain poorly understood. To address this, we trained 36 adult participants with 20 novel spoken words in an audio-visual task, carefully balanced between the EE and FM conditions for physical, psycholinguistic and pragmatic properties as well as the overall task setup. To assess the neural dynamics associated with novel word acquisition, we recorded event-related potentials (ERPs) elicited by these words before and after training, and analysed their relationship with the behavioural learning outcomes, measured in a semantic matching task. Both learning regimes led to successful acquisition, which was somewhat more efficient for EE than FM, as indicated by higher accuracy in the behavioural task. We also found that, whereas words learnt via both EE and FM protocols elicited most pronounced ERP peaks at ∼196 and ∼280 ms, these two phases of activity diverged with respect to the learning type. Multiple linear regression and correlation analyses indicated that the learning-induced amplitude dynamics in the earlier peak was significantly related to behavioural performance for FM-learned items, which may possibly be explained by FM's stronger reliance on early automatic mechanisms of word processing. Performance on EE words was, in turn, significantly linked to the amplitude of the second peak only, potentially due to the involvement of later, top-down controlled processes in this type of word acquisition. Grand-average ERP-based source analysis indicated a left-lateralised activity in the anterior-temporal lobe for FM learning, and a bilateral activation for EE. The results confirm the existence of partially diverging neurocognitive systems for word acquisition and suggest that the configuration of newly established word memory circuits depends on the mode of their acquisition.
有人声称,两种主要的神经认知机制——基于指令的外显编码(EE)和推理驱动的快速映射(FM)可能参与了新单词的快速习得,但它们的确切神经基础仍知之甚少。为了解决这个问题,我们在视听任务中对 36 名成年参与者进行了 20 个新的口语单词的训练,在物理、心理语言学和语用学特性以及整体任务设置方面,EE 和 FM 条件之间进行了精心平衡。为了评估与新单词习得相关的神经动力学,我们记录了这些单词在训练前后诱发的事件相关电位(ERPs),并分析了它们与行为学习结果的关系,该结果在语义匹配任务中进行了测量。两种学习模式都导致了成功的习得,EE 比 FM 更为高效,这从行为任务中的更高准确性可以看出。我们还发现,通过 EE 和 FM 协议学习的单词都在大约 196 和 280 毫秒处产生了最明显的 ERP 峰值,这两个活动阶段相对于学习类型有所不同。多元线性回归和相关分析表明,对于 FM 习得的项目,早期峰值的学习诱导的振幅动态与行为表现显著相关,这可能是因为 FM 更依赖于单词处理的早期自动机制。EE 单词的表现则与第二个峰值的振幅显著相关,这可能是因为在这种类型的单词习得中涉及到了更后期的自上而下的控制过程。基于 ERP 的总体平均源分析表明,FM 学习在额颞叶的左侧有活动,而 EE 则是双侧激活。研究结果证实了单词习得存在部分不同的神经认知系统,并表明新建立的单词记忆回路的配置取决于其习得方式。