Indexing cortical entrainment to natural speech at the phonemic level: Methodological considerations for applied research
Indexing cortical entrainment to natural speech at the phonemic level: Methodological considerations for applied research
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DOI：
10.1016/j.heares.2017.02.015
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发表时间：
2017-05-01
期刊：
影响因子：
2.8
通讯作者：
Lalor, Edmund C.
中科院分区：
文献类型：
--
作者：
Di Liberto, Giovanni M.;Lalor, Edmund C.
言语是人类生活的中心。因此，接受性言语处理的任何延迟或损害都可能对一个人的社会和职业生活产生深远的负面影响。因此，能够评估不同人群中语音处理的完整性是一个重要的目标。目前的标准化评估主要是基于心理测量的措施，不捕捉一个人的语音处理能力的全部范围，这是很难在某些科目组管理。这些测试的一个潜在的替代方案是从皮层活动中获得“直接”，客观的语音处理测量。最近引入了一种这样的方法，并表明可以使用脑电图（EEG）来索引连续自然语音反应的音素水平上的皮层处理。然而，这种分析需要大量的数据。这限制了这种方法的有用性，用于评估语音处理，特别是在数据收集困难的人群。在这里，我们使用EEG数据从10个主题，以评估是否可以可靠地获得措施，反映音素水平的处理，仅使用10分钟的记录时间，从每个主题。这是使用通用建模方法成功完成的，其中将来自由9名受试者组成的训练组的数据进行组合，以获得新受试者的EEG信号的稳健预测。这允许在音素水平上导出皮层活动的指数，并消除对特定语音特征（例如，塞音、爆破音和鼻音），数据有限。这种客观的方法有可能补充心理测量的语音处理在各种各样的主题。(C)2017爱思唯尔B.V.保留所有权利。
Speech is central to human life. As such, any delay or impairment in receptive speech processing can have a profoundly negative impact on the social and professional life of a person. Thus, being able to assess the integrity of speech processing in different populations is an important goal. Current standardized assessment is mostly based on psychometric measures that do not capture the full extent of a person's speech processing abilities and that are difficult to administer in some subjects groups. A potential alternative to these tests would be to derive "direct", objective measures of speech processing from cortical activity. One such approach was recently introduced and showed that it is possible to use electroencephalography (EEG) to index cortical processing at the level of phonemes from responses to continuous natural speech. However, a large amount of data was required for such analyses. This limits the usefulness of this approach for assessing speech processing in particular cohorts for whom data collection is difficult. Here, we used EEG data from 10 subjects to assess whether measures reflecting phoneme-level processing could be reliably obtained using only 10 min of recording time from each subject. This was done successfully using a generic modeling approach wherein the data from a training group composed of 9 subjects were combined to derive robust predictions of the EEG signal for new subjects. This allowed the derivation of indices of cortical activity at the level of phonemes and the disambiguation of responses to specific phonetic features (e.g., stop, plosive, and nasal consonants) with limited data. This objective approach has the potential to complement psychometric measures of speech processing in a wide variety of subjects. (C) 2017 Elsevier B.V. All rights reserved.