A Preliminary Validity Study of the Brief Infant-Toddler Social and Emotional Assessment(BITSEA) for the Early Screening of Autism Spectrum Disorder in Infants and Toddlers.

2021 ◽  
Vol 14 (1) ◽  
pp. 55-86
Author(s):  
You-Jin Seo ◽  
Kyung-Sook Lee ◽  
Yong-Hun Kim
2013 ◽  
Vol 7 (5) ◽  
pp. 591-600 ◽  
Author(s):  
Lauren M. Gardner ◽  
Laura Murphy ◽  
Jonathan M. Campbell ◽  
Frances Tylavsky ◽  
Frederick B. Palmer ◽  
...  

2021 ◽  
pp. 105381512199557
Author(s):  
Jay Buzhardt ◽  
Anna Wallisch ◽  
Dwight Irvin ◽  
Brian Boyd ◽  
Brenda Salley ◽  
...  

One of the earliest indicators of autism spectrum disorder (ASD) is delay in language and social communication. Despite consensus on the benefits of earlier diagnosis and intervention, our understanding of the language growth of children with ASD during the first years of life remains limited. Therefore, this study compared communication growth patterns of infants and toddlers with ASD to growth benchmarks of a standardized language assessment. We conducted a retrospective analysis of growth on the Early Communication Indicator (ECI) of 23 infants and toddlers who received an ASD diagnosis in the future. At 42 months of age, children with ASD had significantly lower rates of gestures, single words, and multiple words, but significantly higher rates of nonword vocalizations. Children with ASD had significantly slower growth of single and multiple words, but their rate of vocalization growth was significantly greater than benchmark. Although more research is needed with larger samples, because the ECI was designed for practitioners to monitor children’s response to intervention over time, these findings show promise for the ECI’s use as a progress monitoring measure for young children with ASD. Limitations and the need for future research are discussed.


2020 ◽  
Author(s):  
Aida Khozaei ◽  
Hadi Moradi ◽  
Reshad Hosseini ◽  
Hamidreza Pouretemad ◽  
Bahareh Eskandari

AbstractDue to the importance of automatic and early autism screening, in this paper, a cry-based screening approach for children with Autism Spectrum Disorder (ASD) is introduced. During the study, we realized that the ASD specific features are not necessarily observable among all children with ASD and among all instances of each child. Therefore, we proposed a new classification approach to be able to find such features and their corresponding instances. We tested the proposed approach and found two features that can be used to distinguish groups of children with ASD from Typically Developing (TD) children. In other words, these features are present in subsets of children with ASD not all of them. The approach has been tested on a dataset including 14 boys and 7 girls with ASD and 14 TD boys and 7 TD girls, between 18 to 53 months old. The sensitivity, specificity, and precision of the proposed approach for boys were 85.71%, 100%, and 92.85%, respectively. These measures were 71.42%, 100%, and 85.71% for girls, respectively.


2014 ◽  
Vol 36 (4) ◽  
pp. 195-207 ◽  
Author(s):  
Trisha L. Self ◽  
Douglas F. Parham ◽  
Jagadeesh Rajagopalan

2018 ◽  
Vol 11 (6) ◽  
pp. 846-856 ◽  
Author(s):  
Cherie C. Green ◽  
Cheryl Dissanayake ◽  
Danuta Z. Loesch ◽  
Minh Bui ◽  
Josephine Barbaro

Sign in / Sign up

Export Citation Format

Share Document