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. 2017 Dec 20;60(12):3441-3455.
doi: 10.1044/2017_JSLHR-S-17-0011.

Word Processing in Children With Autism Spectrum Disorders: Evidence From Event-Related Potentials

Affiliations

Word Processing in Children With Autism Spectrum Disorders: Evidence From Event-Related Potentials

Micheal Sandbank et al. J Speech Lang Hear Res. .

Abstract

Purpose: This investigation was conducted to determine whether young children with autism spectrum disorders exhibited a canonical neural response to word stimuli and whether putative event-related potential (ERP) measures of word processing were correlated with a concurrent measure of receptive language. Additional exploratory analyses were used to examine whether the magnitude of the association between ERP measures of word processing and receptive language varied as a function of the number of word stimuli the participants reportedly understood.

Method: Auditory ERPs were recorded in response to spoken words and nonwords presented with equal probability in 34 children aged 2-5 years with a diagnosis of autism spectrum disorder who were in the early stages of language acquisition. Average amplitudes and amplitude differences between word and nonword stimuli within 200-500 ms were examined at left temporal (T3) and parietal (P3) electrode clusters. Receptive vocabulary size and the number of experimental stimuli understood were concurrently measured using the MacArthur-Bates Communicative Development Inventories.

Results: Across the entire participant group, word-nonword amplitude differences were diminished. The average word-nonword amplitude difference at T3 was related to receptive vocabulary only if 5 or more word stimuli were understood.

Conclusions: If ERPs are to ever have clinical utility, their construct validity must be established by investigations that confirm their associations with predictably related constructs. These results contribute to accruing evidence, suggesting that a valid measure of auditory word processing can be derived from the left temporal response to words and nonwords. In addition, this measure can be useful even for participants who do not reportedly understand all of the words presented as experimental stimuli, though it will be important for researchers to track familiarity with word stimuli in future investigations.

Supplemental material: https://doi.org/10.23641/asha.5614840.

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Figures

Figure 1.
Figure 1.
Map of the electrode layout of the EGI net used to acquire electroencephalogram data. Electrode clusters corresponding to left temporal (T3) and left parietal (P3) are indicated. VREF = reference voltage.
Figure 2.
Figure 2.
Grand-averaged waveforms for word and nonword conditions, averaged across the left temporal (T3) and left parietal (P3) electrode clusters. The temporal window of the word processing response documented in previous literature (200–500 ms after stimulus onset) is highlighted.
Figure 3.
Figure 3.
Grand-averaged waveforms for word and nonword conditions, averaged across the left temporal (T3) and left parietal (P3) electrode clusters for participants who reportedly knew all 10 word stimuli featured in the event-related potential paradigm. The temporal window of the word processing response documented in previous literature (200–500 ms after stimulus onset) is highlighted.
Figure 4.
Figure 4.
Interaction between the left temporal (T3) difference measure of word processing and the number of word stimuli reportedly understood by the participant predicting concurrent receptive vocabulary. Word processing values reflect the word–nonword average difference score in microvolts from 200 to 500 ms after stimulus onset. Microvolt values on the x-axis correspond to the minimum, maximum, mean, and 1 SD above and below the mean, in sequential order. Receptive vocabulary is measured by the raw scores from the MacArthur–Bates Communicative Development Inventories (MCDI; Fenson et al., 2007). The gray shaded region reflects the region of significance, which ranges from 4.05 (i.e., 5) to 10 word stimuli understood.

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