Soares Ana Paula, Gutiérrez-Domínguez Francisco-Javier, Lages Alexandrina, Oliveira Helena M, Vasconcelos Margarida, Jiménez Luis
Human Cognition Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
Psychological Neuroscience Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.
Front Hum Neurosci. 2022 Feb 23;16:805723. doi: 10.3389/fnhum.2022.805723. eCollection 2022.
From an early age, exposure to a spoken language has allowed us to implicitly capture the structure underlying the succession of speech sounds in that language and to segment it into meaningful units (words). Statistical learning (SL), the ability to pick up patterns in the sensory environment without intention or reinforcement, is thus assumed to play a central role in the acquisition of the rule-governed aspects of language, including the discovery of word boundaries in the continuous acoustic stream. Although extensive evidence has been gathered from artificial languages experiments showing that children and adults are able to track the regularities embedded in the auditory input, as the probability of one syllable to follow another syllable in the speech stream, the developmental trajectory of this ability remains controversial. In this work, we have collected Event-Related Potentials (ERPs) while 5-year-old children and young adults (university students) were exposed to a speech stream made of the repetition of eight three-syllable nonsense words presenting different levels of predictability (high vs. low) to mimic closely what occurs in natural languages and to get new insights into the changes that the mechanisms underlying auditory statistical learning (aSL) might undergo through the development. The participants performed the aSL task first under implicit and, subsequently, under explicit conditions to further analyze if children take advantage of previous knowledge of the to-be-learned regularities to enhance SL, as observed with the adult participants. These findings would also contribute to extend our knowledge of the mechanisms available to assist SL at each developmental stage. Although behavioral signs of learning, even under explicit conditions, were only observed for the adult participants, ERP data showed evidence of online segmentation in the brain in both groups, as indexed by modulations in the N100 and N400 components. A detailed analysis of the neural data suggests, however, that adults and children rely on different mechanisms to assist the extraction of word-like units from the continuous speech stream, hence supporting the view that SL with auditory linguistic materials changes through development.
从幼年起,接触一门口语就使我们能够下意识地掌握该语言中语音序列背后的结构,并将其分割成有意义的单元(单词)。因此,统计学习(SL),即在没有意图或强化的情况下从感官环境中提取模式的能力,被认为在语言的规则性方面的习得中起着核心作用,包括在连续的声学流中发现单词边界。尽管从人工语言实验中已经收集了大量证据,表明儿童和成人能够追踪听觉输入中嵌入的规律,比如语音流中一个音节跟随另一个音节的概率,但这种能力的发展轨迹仍存在争议。在这项研究中,我们收集了5岁儿童和年轻人(大学生)在接触由八个三音节无意义单词重复组成的语音流时的事件相关电位(ERP),这些单词呈现出不同程度的可预测性(高可预测性与低可预测性),以紧密模拟自然语言中发生的情况,并深入了解听觉统计学习(aSL)背后的机制在发育过程中可能经历的变化。参与者首先在隐性条件下执行aSL任务,随后在显性条件下执行该任务,以进一步分析儿童是否像成年参与者那样利用先前对要学习的规律的了解来增强统计学习。这些发现也将有助于扩展我们对每个发育阶段可用于辅助统计学习的机制的认识。尽管即使在显性条件下,仅在成年参与者中观察到了学习的行为迹象,但ERP数据显示两组大脑中均存在在线分割的证据,以N100和N400成分的调制为指标。然而,对神经数据的详细分析表明,成人和儿童依靠不同的机制来辅助从连续语音流中提取类似单词的单元,因此支持了这样一种观点,即使用听觉语言材料的统计学习会随着发育而变化。