Ahmanson-Lovelace Brain Mapping Center, Semel Institute for Neuroscience and Human Behaviour, University of California, Los Angeles, USA.
Dev Sci. 2010 Mar;13(2):385-406. doi: 10.1111/j.1467-7687.2009.00895.x.
Word segmentation, detecting word boundaries in continuous speech, is a fundamental aspect of language learning that can occur solely by the computation of statistical and speech cues. Fifty-four children underwent functional magnetic resonance imaging (fMRI) while listening to three streams of concatenated syllables that contained either high statistical regularities, high statistical regularities and speech cues, or no easily detectable cues. Significant signal increases over time in temporal cortices suggest that children utilized the cues to implicitly segment the speech streams. This was confirmed by the findings of a second fMRI run, in which children displayed reliably greater activity in the left inferior frontal gyrus when listening to 'words' that had occurred more frequently in the streams of speech they had just heard. Finally, comparisons between activity observed in these children and that in previously studied adults indicate significant developmental changes in the neural substrate of speech parsing.
分词,即在连续语音中检测单词边界,是语言学习的一个基本方面,仅通过统计和语音线索的计算即可实现。54 名儿童在听三个连续音节流时接受了功能磁共振成像 (fMRI),这些音节流包含高统计规律、高统计规律和语音线索,或者没有易于检测到的线索。颞叶皮质随时间的信号显著增加表明,儿童利用这些线索来隐式地分割语音流。这一点通过第二次 fMRI 运行的结果得到了证实,在第二次 fMRI 运行中,当儿童听到在他们刚刚听到的语音流中更频繁出现的“单词”时,他们的左侧额下回显示出更可靠的活动增加。最后,将这些儿童的活动与之前研究的成年人的活动进行比较表明,语音解析的神经基础存在显著的发育变化。