Rapid facial reactions to emotional facial expressions in typically developing children and children with autism spectrum disorder

Typical adults mimic facial expressions within 1000 ms, but adults with autism spectrum disorder (ASD) do not. These rapid facial reactions (RFRs) are associated with the development of social-emotional abilities. Such interpersonal matching may be caused by motor mirroring or emotional responses. Using facial electromyography (EMG), this study evaluated mechanisms underlying RFRs during childhood and examined possible impairment in children with ASD. Experiment 1 found RFRs to happy and angry faces (not fear faces) in 15 typically developing children from 7 to 12 years of age. RFRs of fear (not anger) in response to angry faces indicated an emotional mechanism. In 11 children (8-13 years of age) with ASD, Experiment 2 found undifferentiated RFRs to fear expressions and no consistent RFRs to happy or angry faces. However, as children with ASD aged, matching RFRs to happy faces increased significantly, suggesting the development of processes underlying matching RFRs during this period in ASD.     

Facial feedback hypotheses: Evidence,implications, and directions

This review evaluates four facial feedback hypotheses, each proposing a certain relation between the face and emotions. It addresses criticisms of the data, considers implications for emotional and social processes, and advises directions for future research. The current data support the following: Facial actions are sensitive to social context, yet correspond to the affective dimension of emotions; matches with specific emotions are unlikely. They modulate ongoing emotions, and initiate them. These two claims have received substantially improved support, in part due to studies controlling for effects of experimental demand and task difficulty. Facial action may influence the occurrence of specific emotions, not simply their valence and intensity. Facial action is not necessary for emotions. There are multiple and nonmutually exclusive plausible mechanisms for facial effects on emotions. Future work must focus on determining the relative contributions of these mechanisms, and the parameters of their effects on emotions.I appreciate the helpful comments of Harry Gollob, Greg McHugo, Catherine Reed, Craig Smith, and R. B. Zajonc on earlier drafts of this paper.     

Clinical and statistical approaches to the assessment of brain damage in children

In an attempt at innovation in the clinical versus statistical prediction controversy, the present research examined three methods of assessing organic brain damage in a sample of sixty-eight 9- to 14-year-old children. Methods compared were clinical judgment (CP); existing actuarial norms (EAN); and derived statistical prediction (DSP), based on three psychological tests. The results were as follows: (a) None of the methods classified subjects significantly better than chance (p<.05); (b) there was no significant difference (p<.05) among the methods in terms of their rates of accurate classification; (c) CP based on combined tests did not result in higher predictive accuracy than those based on an individual test; (d) CP made after receiving feedback on accuracy showed an increase in number of correct classifications over prior CP; and (e) CP based on knowledge of the statistical prediction in addition to test data showed a higher rate of correct classification than DSP alone.     

The prediction of intelligence in preschool children using alternative models to regression

Statistical prediction of an outcome variable using multiple independent variables is a common practice in the social and behavioral sciences. For example, neuropsychologists are sometimes called upon to provide predictions of preinjury cognitive functioning for individuals who have suffered a traumatic brain injury. Typically, these predictions are made using standard multiple linear regression models with several demographic variables (e.g., gender, ethnicity, education level) as predictors. Prior research has shown conflicting evidence regarding the ability of such models to provide accurate predictions of outcome variables such as full-scale intelligence (FSIQ) test scores. The present study had two goals: (1) to demonstrate the utility of a set of alternative prediction methods that have been applied extensively in the natural sciences and business but have not been frequently explored in the social sciences and (2) to develop models that can be used to predict premorbid cognitive functioning in preschool children. Predictions of Stanford–Binet 5 FSIQ scores for preschool-aged children is used to compare the performance of a multiple regression model with several of these alternative methods. Results demonstrate that classification and regression treesprovided more accurate predictions of FSIQ scores than does the more traditional regression approach. Implications of these results are discussed.     

Linking associative and serial list memory: Pairs versus triples

Paired associates and serial list memory are typically investigated separately. An "isolation principle" (J. B. Caplan, 2005) was proposed to explain behavior in both paradigms by using a single model, in which serial list and paired associates memory differ only in how isolated pairs of items are from interference from other studied items. In the present study, 2 experiments identify a critical dissociation between the 2 paradigms, challenging this unified account. Specifically, forward and backward probes were highly correlated for pairs and less so for short lists (triples). The authors asked whether the isolation principle could quantitatively accommodate this type of dissociation. A simulation confirmed that a single model incorporating the isolation principle can adequately explain this and other dissociations, supporting the common processes view.     

When the social mirror breaks: deficits in automatic, but not voluntary, mimicry of emotional facial expressions in autism

Humans, infants and adults alike, automatically mimic a variety of behaviors. Such mimicry facilitates social functioning, including establishment of interpersonal rapport and understanding of other minds. This fundamental social process may thus be impaired in disorders such as autism characterized by socio-emotional and communicative deficits. We examined automatic and voluntary mimicry of emotional facial expression among adolescents and adults with autistic spectrum disorders (ASD) and a typical sample matched on age, gender and verbal intelligence. Participants viewed pictures of happy and angry expressions while the activity over their cheek and brow muscle region was monitored with electromyography (EMG). ASD participants did not automatically mimic facial expressions whereas the typically developing participants did. However, both groups showed evidence of successful voluntary mimicry. The data suggest that autism is associated with an impairment of a basic automatic social-emotion process. Results have implications for understanding typical and atypical social cognition.