Faculty Bibliography

The LENA system was designed and validated to provide information about the language environment in children 0 to 4 years of age and its use has been expanded to populations with a number of communication profiles. Its utility in children 5 years of age and older is not yet known. The present study used acoustic data from two samples of children with autism spectrum disorders (ASD) to evaluate the reliability of LENA automated analyses for detecting speech utterances in older, school age children, and adolescents with ASD, in clinic and home environments. Participants between 5 and 18 years old who were minimally verbal (study 1) or had a range of verbal abilities (study 2) completed standardized assessments in the clinic (study 1 and 2) and in the home (study 2) while speech was recorded from a LENA device. We compared LENA segment labels with manual ground truth coding by human transcribers using two different methods. We found that the automated LENA algorithms were not successful (<50% reliable) in detecting vocalizations from older children and adolescents with ASD, and that the proportion of speaker misclassifications by the automated system increased significantly with the target-child's age. The findings in children and adolescents with ASD suggest possibly misleading results when expanding the use of LENA beyond the age ranges for which it was developed and highlight the need to develop novel automated methods that are more appropriate for older children. Autism Research 2019, 12: 628-635. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Current commercially available speech detection algorithms (LENA system) were previously validated in toddlers and children up to 48 months of age, and it is not known whether they are reliable in older children and adolescents. Our data suggest that LENA does not adequately capture speech in school age children and adolescents with autism and highlights the need to develop new automated methods for older children.

Children's maladaptive cognitive attributions may elicit affective reactions that contribute to depressive and anxious symptoms. This study investigated cognitive-affective pathways in depressive and anxious symptoms in a sample of 110 prepubertal children, evaluating children's specific appraisals of experiences of parental discipline as well as general attributional style, along with their hopelessness, self-esteem, and shame. Pathways toward depressive and anxious symptoms were tested simultaneously to identify potential unique etiological mechanisms. Results suggested that lower self-esteem strongly contributed to depressive and anxious symptoms, whereas shame related to depression only and hopelessness related to depression only marginally. Additionally, general negative attributional style and low sense of control over discipline related to all three affective elements. Lastly, low sense of discipline control directly predicted depressive symptoms, whereas beliefs that discipline was undeserved directly predicted anxious symptoms. Future work should continue to examine the role of children's discipline-specific attributions, which appear important in internalizing symptoms.

This study examined the effects of in utero exposure to maternal depression and Superstorm Sandy, a hurricane that hit metropolitan New York in 2012, on infant temperament at 6 months. Temperament was assessed using the Infant Behavior Questionnaire-Revised. Maternal depression was measured by the Edinburgh Postnatal Depression Scale. The main effects and the interaction of maternal depression and Sandy exposure on infant temperament were examined using a multivariable generalized linear model. Results show that prenatal maternal depression was associated with lower emotion regulation and greater distress. Stratification and interaction analyses suggested that the adverse effects of prenatal maternal depression on problematic temperament were amplified by in utero Sandy exposure. This study underscores the importance of providing prenatal screening and treatment for maternal depression during pregnancy while also identifying high-risk families who may have suffered from disaster-related traumas to provide necessary services. As the frequency of natural disasters may increase due to climate change, it is important to understand the consequences of in utero stress on child development and to formulate plans for early identification.

This study recruited a prospective cohort of 380 pregnant women before, during, or after Superstorm Sandy in 2012 to examine the association between disaster-related pre- and post-natal maternal stress and offspring temperament at 6 months-old. Mothers prospectively reported stressful experiences during the storm and rated their child's temperament 6 months postpartum. Results indicated that length of time without phone or electricity and financial loss was associated with offspring negative affect, whereas financial loss and threat of death or injury was associated with emotion dysregulation. Furthermore, offspring born before the storm had greater negative affect and lower emotion regulation than those born after the storm. Given the probable increase in the occurrence of natural disasters due to climate change in recent years (McCarthy, Intergovernmental Panel on Climate Change, Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, 2001), our results highlight the necessity of education and planning to help ameliorate any potential consequences on the developing infant.

Increasing numbers of gender-nonconforming children are socially transitioning-changing pronouns to live as their identified genders. We studied a cohort of gender-nonconforming children ( n = 85) and contacted them again approximately 2 years later. When recontacted, 36 of the children had socially transitioned. We found that stronger cross-sex identification and preferences expressed by gender-nonconforming children at initial testing predicted whether they later socially transitioned. We then compared the gender-nonconforming children with groups of transitioned transgender children ( n = 84) and gender-conforming controls ( n = 85). Children from our longitudinal cohort who would later transition were highly similar to transgender children (children who had already socially transitioned) and to control children of the gender to which they would eventually transition. Gender-nonconforming children who would not go on to transition were different from these groups. These results suggest that (a) social transitions may be predictable from gender identification and preferences and (b) gender identification and preferences may not meaningfully differ before and after social transitions.

Enthusiasm for technology in mental health has evolved as a function of its promise to increase the reach and impact of services, particularly for traditionally at-risk and underserved groups. Preliminary findings suggest that technology-enhanced interventions indeed hold promise for increasing engagement in and outcomes of evidence-based treatment approaches. The time- and resourceintensive nature of traditional randomized control trials, however, may be even more of a challenge for further advancement in this area, given the rapid innovation of consumer driven new product development. Accordingly, this review aims to summarize how a broader range of scientific designs and analyses may be necessary in order to further advance and optimize the reach and impact of technology-enhanced psychological practice. Examples of various approaches are provided and recommendations are provided for future work in this area.