Predictive language processing in young autistic children

Continuing the conversation about echolalia and gestalt language development: A response to Haydock, Harrison, Baldwin, and Leadbitter

Although gestalt language development incorporates some neurodiversity-affirmative strategies (e.g. embracing echolalia), it is also associated with numerous ideas, assertions, and clinical strategies that lack theoretical and empirical support. For this reason, we believe it is premature to embrace gestalt language development as a neurodiversity-affirmative practice. Given the potential for miscommunication, we must strive for clarity and precision in our terminology (e.g. making a clear distinction between delayed echolalia and the broader set of ideas that comprise gestalt language development). The field of autism will benefit from in-depth discussions about the relationship between neurodiversity-affirmative practices and evidence-based practices.Lay AbstractIt was recently suggested that a set of ideas known as gestalt language development be embraced as a neurodiversity-affirmative practice. Neurodiversity refers to the idea that people interact with the world in many different ways and that there is not a single right way to do so. Some aspects of gestalt language development, such as embracing autistic communication, are consistent with neurodiversity. However, gestalt language development is also associated with numerous ideas, assertions, and clinical strategies that lack theoretical and empirical support. For this reason, we believe it is premature to embrace gestalt language development as a neurodiversity-affirmative practice. We propose that it is important to make sure we use language that differentiates between delayed echolalia and the broader set of ideas that comprise gestalt language development. We also suggest that it is important to discuss the relationship between neurodiversity-affirmative practices and practices supported by research evidence.

Linguistic Prediction in Autism Spectrum Disorder

BACKGROUND

Autism spectrum disorder has been argued to involve impairments in domain-general predictive abilities. There is strong evidence that individuals with ASD have trouble navigating the dynamic world due to an inability to predict the outcomes of particular events. There is also evidence that this is apparent across the diagnostic criteria of ASD and common among correlates of ASD. However, the question remains as to whether this impairment in predictive abilities is domain-specific or domain-general, with little research investigating prediction in linguistic measures.

METHODS

The current study investigated whether individuals with ASD showed atypicalities in linguistic prediction using a cloze probability task. In Experiment 1, 33 individuals with ASD were compared to 64 typically developing individuals in an offline cloze task.

RESULTS

There was no significant effect of an ASD diagnosis on the cloze probability. However, individuals with higher levels of autistic traits were significantly more likely to produce lower-probability (non-modal) cloze responses. In Experiment 2, 19 individuals with ASD were compared to 22 typically developing individuals in a lab-based cloze task, in which we also measured the reaction times to begin speaking (i.e., voice onset time). The results showed that individuals with ASD had significantly slower reaction times (~200 ms) but, similarly to Experiment 1, did not show differences in the cloze probability of the responses produced.

CONCLUSIONS

We conclude that individuals with ASD do show inefficiency in linguistic prediction, as well as indicating which ASD traits most strongly correlate with these inefficiencies.

Predictive coding in neuropsychiatric disorders: A systematic transdiagnostic review

The predictive coding framework postulates that the human brain continuously generates predictions about the environment, maximizing successes and minimizing failures based on prior experiences and beliefs. This PRISMA-compliant systematic review aims to comprehensively and transdiagnostically examine the differences in predictive coding between individuals with neuropsychiatric disorders and healthy controls. We included 72 articles including case-control studies investigating predictive coding as the primary outcome and reporting behavioral, neuroimaging, or electrophysiological findings. Thirty-three studies investigated predictive coding in the schizophrenia spectrum, 33 in neurodevelopmental disorders, 5 in mood disorders, 4 in neurocognitive disorders, 1 in post-traumatic stress disorder, and 1 in substance use disorders. Oddball and oddball-like paradigms were most frequently used to quantify predictive coding performance. Evidence showed heterogeneous impairments in the predictive coding abilities of the brain across neuropsychiatric disorders, particularly in schizophrenia and autism. Patients within the schizophrenia spectrum showed a consistent pattern of impaired non-social predictive coding. Conversely, predictive coding deficits were more selective for social cues in the autism spectrum. Predictive coding impairments were correlated with clinical symptom severity. These findings underscore the potential utility of predictive coding as a framework for understanding cognitive dysfunctions in the neuropsychiatric population, even though more evidence is needed on underexplored conditions, also considering potential confounders such as medication use and sex/gender. The potential role of predictive coding as a determinant of treatment response may also be considered to tailor personalized interventions.

Predictive Processing Among Individuals with Autism Spectrum Disorder During Online Language Comprehension: A Preliminary Systematic Review

The present study aims to fill the research gap by evaluating published empirical studies and answering the specific research question: Can individuals with autism spectrum disorder (ASD) predict upcoming linguistic information during real-time language comprehension? Following the PRISMA framework, an initial search via PubMed, Web of Science, SCOPUS, and Google Scholar yielded a total of 697 records. After screening the abstract and full text, 10 studies, covering 350 children and adolescents with ASD ranging from 2 to 15 years old, were included for analysis. We found that individuals with ASD may predict the upcoming linguistic information by using verb semantics but not pragmatic prosody during language comprehension. Nonetheless, 9 out of 10 studies used short spoken sentences as stimuli, which may not encompass the complexity of language comprehension. Moreover, eye-tracking in the lab setting was the primary data collection technique, which may further limit the generalizability of the research findings. Using a narrative approach to synthesize and evaluate the research findings, we found that individuals with ASD may have the ability to predict the upcoming linguistic information. However, this field of research still calls for more studies that will expand the scope of research topics, utilize more complex linguistic stimuli, and employ more diverse data collection techniques.

Stick with Static: Unexpected Detrimental Effects of Visual Movement in a Looking-While-Listening Task

PURPOSE

Looking while listening (LWL) tasks track eye movements while children view images (e.g., a dog and a ball) and hear an auditory prompt (e.g., "Find the ball"), allowing researchers to measure receptive language in populations who may be difficult to test with traditional measures. However, LWL tasks often result in high levels of missing data and accurately measuring receptive language in autistic children remains a challenge.

METHODS

We analyzed data from 18 autistic children ages 2-5 years and examined whether adding visual movement of the named image improved LWL accuracy compared to a static condition. This study also investigated whether receptive language abilities on a standardized assessment moderated the effect of condition (i.e., static vs. movement) on LWL accuracy.

RESULTS

There was evidence of comprehension in both conditions, although children showed faster recognition in the static compared to the movement condition. Standardized language abilities did not moderate the effect of condition on LWL accuracy. However, as standardized receptive language scores increased, accuracy increased.

CONCLUSION

Findings indicate that the visual movement manipulation in the current study did not improve accuracy compared to traditional static images within the LWL task. These results also suggest a continued need to refine LWL tasks in order to improve LWL methodology and refine receptive language measures for autistic children.

The effect of volatility in linguistic input on prediction behavior in autistic toddlers

Domain-general prediction differences have been posited as underlying many aspects of the cognitive-behavioral profile in autism. An interesting potential implication of such differences is hyperplasticity of learning-the idea that autistic individuals may privilege more recent input over the accumulation of prior learning. Because real world language input is highly variable, hyperplasticity could have serious ramifications for language learning. To investigate potential hyperplasticity during a language processing task, we administered an experimental anticipatory eye movement (AEM) task to 2- to 3-year-old autistic children and neurotypical (NT) peers. Autistic children's change in anticipation from before to after a switch in contingencies did not significantly differ from NT counterparts, failing to support claims of hyperplasticity in the linguistic domain. Analysis of individual differences among autistic children revealed that cognitive ability was associated with prediction of the initial, stable contingencies, but neither age nor receptive language related to task performance. Results are discussed in terms of clinical implications and the broader context of research investigating prediction differences in autism.

Prediction by Young Autistic Children from Visual and Spoken Input

Recent theoretical accounts suggest that differences in the processing of probabilistic events underlie the core and associated traits of autism spectrum disorder (ASD). These theories hypothesize that autistic individuals are differentially impacted by disruptions in probabilistic input relative to neurotypical peers. According to this view, autistic individuals assign disproportionate weight to prediction errors such that novel input is overweighted relative to the aggregation of prior input; this is referred to as 'hyperplasticity' of learning. Prediction among autistic individuals has primarily been examined in nonverbal, visual contexts with older children and adults. The present study examined 32 autistic and 32 cognitively-matched neurotypical (NT) children's ability to generate predictions and adjust to changes in predictive relationships in auditory stimuli using two eye gaze tasks. In both studies, children were trained and tested on an auditory-visual cue which predicted the location of a reward stimulus. In Experiment 1 the cue was non-linguistic (instrumental sound) whereas in Experiment 2 the cue was linguistically-relevant (speaker gender). In both experiments, the cue-reward contingency was switched after the first block of trials, and predictive behavior was evaluated across a second block of trials. Analyses of children's looking behavior revealed similar performance in both groups on the non-linguistic task (Exp. 1). In the linguistically-relevant task (Exp. 2), predictive looking was less disrupted by the contingency switch for autistic children than NT children. Results suggest that autistic children may demonstrate hyperplastic learning in linguistically-relevant contexts, relative to NT peers.

Predictive Processing During Cue-Outcome Associative Learning in Autistic Children

PURPOSE

Predictive coding theories posit that autism is characterized by an over-adjustment to prediction errors, resulting in frequent updates of prior beliefs. Atypical weighting of prediction errors is generally considered to negatively impact the construction of stable models of the world, but may also yield beneficial effects. In a novel associative learning paradigm, we investigated whether unexpected events trigger faster learning updates in favour of subtle but fully predictive cues in autistic children compared to their non-autistic counterparts. We also explored the relationship between children's language proficiency and their predictive performances.

METHODS

Anticipatory fixations and explicit predictions were recorded during three associative learning tasks with deterministic or probabilistic contingencies. One of the probabilistic tasks was designed so that a fully predictive but subtle cue was overshadowed by a less predictive salient one.

RESULTS

Both autistic and non-autistic children based their learning on the salient cue, and, contrary to our predictions, showed no signs of updating in favour of the subtle cue. While both groups demonstrated associative learning, autistic children made less accurate explicit predictions than their non-autistic peers in all tasks. Explicit prediction performances were positively correlated with language proficiency in non-autistic children, but no such correlation was observed in autistic children.

CONCLUSION

These results suggest no over-adjustment to prediction errors in autistic children and highlight the need to control for general performance in cue-outcome associative learning in predictive processing studies. Further research is needed to explore the nature of the relationship between predictive processing and language development in autism.

Predictive processing of music and language in autism: Evidence from Mandarin and English speakers

Atypical predictive processing has been associated with autism across multiple domains, based mainly on artificial antecedents and consequents. As structured sequences where expectations derive from implicit learning of combinatorial principles, language and music provide naturalistic stimuli for investigating predictive processing. In this study, we matched melodic and sentence stimuli in cloze probabilities and examined musical and linguistic prediction in Mandarin- (Experiment 1) and English-speaking (Experiment 2) autistic and non-autistic individuals using both production and perception tasks. In the production tasks, participants listened to unfinished melodies/sentences and then produced the final notes/words to complete these items. In the perception tasks, participants provided expectedness ratings of the completed melodies/sentences based on the most frequent notes/words in the norms. While Experiment 1 showed intact musical prediction but atypical linguistic prediction in autism in the Mandarin sample that demonstrated imbalanced musical training experience and receptive vocabulary skills between groups, the group difference disappeared in a more closely matched sample of English speakers in Experiment 2. These findings suggest the importance of taking an individual differences approach when investigating predictive processing in music and language in autism, as the difficulty in prediction in autism may not be due to generalized problems with prediction in any type of complex sequence processing.

Word meaning is complex: Language-related generalization differences in autistic adults

The current study marries two important observations. First, there is a growing recognition that word meanings need to be flexibly extended in new ways as new contexts arise. Second, as evidenced primarily within the perceptual domain, autistic individuals tend to find generalization more challenging while showing stronger veridical memory in comparison to their neurotypical peers. Here we report that a group of 80 autistic adults finds it more challenging to flexibly extend the meanings of familiar words in new ways than a group of 80 neurotypical peers, while the autistic individuals outperform the neurotypicals on a novel word-learning task that does not require flexible extension. Results indicate that recognized differences in generalization present an ongoing challenge for autistic adults in the domain of language, separate from social cognition, executive function, or the ability to assign single fixed meanings to new words.

Assessing receptive verb knowledge in late talkers and autistic children: advances and cautionary tales

PURPOSE

Using eye-tracking, we assessed the receptive verb vocabularies of age-matched late talkers and typically developing children (experiment 1) and autistic preschoolers (experiment 2). We evaluated how many verbs participants knew and how quickly they processed the linguistic prompt. Our goal is to explore how these eye-gaze measures can be operationalized to capture verb knowledge in late talkers and autistic children.

METHOD

Participants previewed two dynamic scenes side-by-side (e.g., "stretching" and "clapping") and were then prompted to find the target verb's referent. Children's eye-gaze behaviors were operationalized using established approaches in the field with modifications in consideration for the type of stimuli (dynamic scenes versus static images) and the populations included. Accuracy was calculated as a proportion of time spent looking to the target, and linguistic processing was operationalized as latency of children's first look to the target.

RESULTS

In experiment 1, there were no group differences in the proportion of verbs known, but late talkers required longer to demonstrate their knowledge than typically developing children. Latency was predicted by age but not language abilities. In experiment 2, autistic children's accuracy and latency were both predicted by receptive language abilities.

CONCLUSION

Eye gaze can be used to assess receptive verb vocabulary in a variety of populations, but in operationalizing gaze behavior, we must account for between- and within-group differences. Bootstrapped cluster-permutation analysis is one way to create individualized measures of children's gaze behavior, but more research is warranted using an individual differences approach with this type of analysis.

Do autistic children differ in language-mediated prediction?

Prediction appears to be an important characteristic of the human mind. It has also been suggested that prediction is a core difference of autistic1 children. Past research exploring language-mediated anticipatory eye movements in autistic children, however, has been somewhat contradictory, with some studies finding normal anticipatory processing in autistic children with low levels of autistic traits but others observing weaker prediction effects in autistic children with less receptive language skills. Here we investigated language-mediated anticipatory eye movements in young children who differed in the severity of their level of autistic traits and were in professional institutional care in Hangzhou, China. We chose the same spoken sentences (translated into Mandarin Chinese) and visual stimuli as a previous study which observed robust prediction effects in young children (Mani & Huettig, 2012) and included a control group of typically-developing children. Typically developing but not autistic children showed robust prediction effects. Most interestingly, autistic children with lower communication, motor, and (adaptive) behavior scores exhibited both less predictive and non-predictive visual attention behavior. Our results raise the possibility that differences in language-mediated anticipatory eye movements in autistic children with higher levels of autistic traits may be differences in visual attention in disguise, a hypothesis that needs further investigation.

From Recognizing Known Words to Learning New Ones: Comparing Online Speech Processing in Typically Developing and Late-Talking 2-Year-Olds

PURPOSE

This study examines online speech processing in typically developing and late-talking 2-year-old children, comparing both groups' word recognition, word prediction, and word learning.

METHOD

English-acquiring U.S. children, from the "When to Worry" study of language and social-emotional development, were identified as typical talkers (n = 67, M age = 27.0 months, SD = 1.4; Study 1) or late talkers (n = 30, M age = 27.0 months, SD = 2.0; Study 2). Children completed an eye-tracking task assessing their ability to recognize both nouns and verbs, to use verbs to predict an upcoming noun's referent, and to use verbs to infer the meaning of novel nouns.

RESULTS

Both typical and late talkers recognized nouns and verbs and used familiar verbs to predict the referents of upcoming nouns, whether the noun was familiar ("You can eat the apple") or novel ("You can eat the dax"). Late talkers were slower in using familiar nouns to orient to the target and were both slower and less accurate in using familiar verbs to identify the upcoming noun's referent. Notably, however, both groups learned and retained novel word meanings with similar success.

CONCLUSIONS

Late talkers demonstrated slower lexical processing, especially for verbs. Yet, their success in using familiar verbs to learn novel nouns suggests that, as a group, their slower processing did not impair word learning in this task. This sets the foundation for future work investigating whether these measures predict later language outcomes and can differentiate late talkers with transient delays from those with language disorders.

Differences in Prediction May Underlie Language Disorder in Autism

Language delay is often one of the first concerns of parents of toddlers with autism spectrum disorder (ASD), and early language abilities predict broader outcomes for children on the autism spectrum. Yet, mechanisms underlying language deficits in autistic children remain underspecified. One prominent component of linguistic behavior is the use of predictions or expectations during learning and processing. Several researcher teams have posited prediction deficit accounts of ASD. The basic assumption of the prediction accounts is that information is processed by making predictions and testing violations against expectations (prediction errors). Flexible (neurotypical) brains attribute differential weights to prediction errors to determine when new learning is appropriate, while autistic individuals are thought to assign disproportionate weight to prediction errors. According to some views, these prediction deficits are hypothesized to lead to higher levels of perceived novelty, resulting in “hyperplasticity” of learning based on the most recent input. In this article, we adopt the perspective that it would be useful to investigate whether language deficits in children with ASD can be attributed to atypical domain-general prediction processes.

Naturalistic parent-child reading frequency and language development in toddlers with and without autism

BACKGROUND AND AIMS

The efficacy of parent-child reading for supporting language development has been well-established in the neurotypical (NT) literature. For children with autism spectrum disorder, (ASD) who may be at risk for delays in language development, prior research has shown promise for shared book-reading interventions. Yet there has been limited research on naturalistic parent-child reading with autistic children to date. The present study aimed to fill this missing link in the current literature.

METHODS

Fifty-seven autistic toddlers participated at two developmental time points: Time 1 (Mage = 30.4 months) and Time 2 (Mage = 43.8 months). An NT control group (N = 31) was matched on age to a subset of the ASD group (N = 33). We assessed group differences in parent-child reading frequency between age-matched NT and autistic groups. Using a one-year follow-up design, we evaluated the relationship between parent-child reading and autistic children's language development.

RESULTS

Cross-group comparisons revealed that parents of age-matched NT children reported significantly more frequent weekly parent-child reading than parents of autistic toddlers. After a one-year follow-up with the autistic group, within-group analyses revealed that greater frequency of parent-child reading (controlling for maternal education, books in the home, and autism symptom severity) was associated with larger growth in autistic toddlers' receptive and expressive language skills.

CONCLUSIONS AND IMPLICATIONS

These findings have important clinical implications as they emphasize the potential of parent-child reading for supporting autistic children's language development. Findings demonstrate that frequency of parent-child reading is associated with language development over one year. Findings also demonstrate that parents of autistic children engage in less frequent parent-child reading than parents of age-matched NT peers, suggesting these parents may face more barriers to implementing parent-child reading than parents of NT children.