scholarly journals Identification of Autism in Children Using Static Facial Features and Deep Neural Networks

2022 ◽  
Vol 12 (1) ◽  
pp. 94
Author(s):  
K. K. Mujeeb Rahman ◽  
M. Monica Subashini

Autism spectrum disorder (ASD) is a complicated neurological developmental disorder that manifests itself in a variety of ways. The child diagnosed with ASD and their parents’ daily lives can be dramatically improved with early diagnosis and appropriate medical intervention. The applicability of static features extracted from autistic children’s face photographs as a biomarker to distinguish them from typically developing children is investigated in this study paper. We used five pre-trained CNN models: MobileNet, Xception, EfficientNetB0, EfficientNetB1, and EfficientNetB2 as feature extractors and a DNN model as a binary classifier to identify autism in children accurately. We used a publicly available dataset to train the suggested models, which consisted of face pictures of children diagnosed with autism and controls classed as autistic and non-autistic. The Xception model outperformed the others, with an AUC of 96.63%, a sensitivity of 88.46%, and an NPV of 88%. EfficientNetB0 produced a consistent prediction score of 59% for autistic and non-autistic groups with a 95% confidence level.

2021 ◽  
Vol 11 (5) ◽  
pp. 589
Author(s):  
Natasa Georgiou ◽  
George Spanoudis

Language and communication deficits characterize both autism spectrum disorder and developmental language disorder, and the possibility of there being a common profile of these is a matter of tireless debate in the research community. This experimental study addresses the relation of these two developmental conditions in the critical topic of language. Α total of 103 children (79 males, 24 females) participated in the present study. Specifically, the study’s sample consisted of 40 children with autism, 28 children with developmental language disorder, and 35 typically developing children between 6 and 12 years old. All children completed language and cognitive measures. The results showed that there is a subgroup inside the autism group of children who demonstrate language difficulties similar to children with developmental language disorder. Specifically, two different subgroups were derived from the autism group; those with language impairment and those without. Both autism and language-impaired groups scored lower than typically developing children on all language measures indicating a common pathology in language ability. The results of this study shed light on the relation between the two disorders, supporting the assumption of a subgroup with language impairment inside the autism spectrum disorder population. The common picture presented by the two developmental conditions highlights the need for further research in the field.


Autism ◽  
2018 ◽  
Vol 23 (3) ◽  
pp. 639-652 ◽  
Author(s):  
Vanessa M Vogan ◽  
Benjamin R Morgan ◽  
Mary Lou Smith ◽  
Margot J Taylor

This study examined functional changes longitudinally over 2 years in neural correlates associated with working memory in youth with and without autism spectrum disorder, and the impact of increasing cognitive load. We used functional magnetic resonance imaging and a visuo-spatial 1-back task with four levels of difficulty. A total of 14 children with autism spectrum disorder and 15 typically developing children (ages 7–13) were included at baseline and followed up approximately 2 years later. Despite similar task performance between groups, differences were evident in the developmental trajectories of neural responses. Typically developing children showed greater load-dependent activation which intensified over time in the frontal, parietal and occipital lobes and the right fusiform gyrus, compared to those with autism spectrum disorder. Children with autism spectrum disorder showed minimal age-related changes in load-dependent activation, but greater longitudinal load-dependent deactivation in default mode network compared to typically developing children. Results suggest inadequate modulation of neural activity with increasing cognitive demands in children with autism spectrum disorder, which does not mature into adolescence, unlike their typically developing peers. Diminished ability for children with autism spectrum disorder to modulate neural activity during this period of maturation suggests that they may be more vulnerable to the increasing complexity of social and academic demands as they progress through adolescence than their peers.


2020 ◽  
pp. 1-27
Author(s):  
Eva BRUYNEEL ◽  
Ellen DEMURIE ◽  
Sofie BOTERBERG ◽  
Petra WARREYN ◽  
Herbert ROEYERS

Abstract The validity of the Language ENvironment Analysis (LENA) System was evaluated for Dutch. 216 5-min samples (six samples per age per child) were selected from daylong recordings at 5, 10 and 14 months of age of native Dutch-speaking younger siblings of children with autism spectrum disorder (N = 6) and of typically developing children (N = 6). Two native Dutch-speaking coders counted the amount of adult words (AWC), child vocalisations (CVC) and conversational turns (CT). Consequently, correlations between LENA and human estimates were explored. Correlations were high for AWC at all ages (r = .73 to .81). Regarding CVC, estimates were moderately correlated at 5 months (r = .57) but the correlation decreased at 10 (r = .37) and 14 months (r = .14). Correlations for CT were low at all ages (r = .19 to .28). Lastly, correlations were not influenced by the risk status of the children.


Autism ◽  
2020 ◽  
Vol 24 (8) ◽  
pp. 1995-2007
Author(s):  
Valentina Fantasia ◽  
Douglas B. Markant ◽  
Giovanni Valeri ◽  
Nicholas Perri ◽  
Azzurra Ruggeri

Previous research with typically developing children and adults shows that active control of the learning experience leads to enhanced episodic memory, as compared with conditions lacking this control. The present study investigates whether similar advantages can be found in children with autism spectrum disorder. In this study, 6–12-year-old autistic children ( N = 29) participated in a simple memory game on a touchscreen tablet, in which they were asked to remember 64 objects presented in four blocks of 16. In two of the blocks, children could decide the order and pacing of study (active condition), whereas in the other two blocks, they passively observed the active study decisions of a previous participant (yoked condition). We found that recognition memory was more accurate for objects studied in the active compared with the yoked condition, even after a week-long delay. The magnitude of the effect was comparable with that obtained in previous studies with typically developing children and adults, suggesting a robustness for the benefits of active learning that goes beyond what previously hypothesized, extending to special populations. We discuss how these findings may help develop pedagogical interventions that leverage the active learning approach to promote inclusive learning. Lay abstract Research with adults and typically developing children has shown that being able to actively control their learning experience, that is, to decide what to learn, when, and at what pace, can boost learning in a variety of contexts. In particular, previous research has shown a robust advantage of active control for episodic memory as compared with conditions lacking this control. In this article, we explore the potential of active control to improve learning of 6- to 12-year-old children diagnosed with autism spectrum disorder. We presented them with a simple memory game on a touchscreen tablet, in which children were asked to recall as many of the presented objects as possible. For half of the objects, children could decide the order and pacing of study (active condition); for the other half, they passively observed the study decisions of a previous participant (yoked condition). We found that recognition memory was more accurate when children could actively control the order, pace, and frequency of the study experience, even after a week-long delay. We discuss how teachers and educators might promote active learning approaches in educational and pedagogical applications to support inclusive learning.


Autism ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 199-211 ◽  
Author(s):  
Lacey Chetcuti ◽  
Kristelle Hudry ◽  
Megan Grant ◽  
Giacomo Vivanti

We examined the role of social motivation and motor execution factors in object-directed imitation difficulties in autism spectrum disorder. A series of to-be-imitated actions was presented to 35 children with autism spectrum disorder and 20 typically developing children on an Apple® iPad® by a socially responsive or aloof model, under conditions of low and high motor demand. There were no differences in imitation performance (i.e. the number of actions reproduced within a fixed sequence), for either group, in response to a model who acted socially responsive or aloof. Children with autism spectrum disorder imitated the high motor demand task more poorly than the low motor demand task, while imitation performance for typically developing children was equivalent across the low and high motor demand conditions. Furthermore, imitative performance in the autism spectrum disorder group was unrelated to social reciprocity, though positively associated with fine motor coordination. These results suggest that difficulties in object-directed imitation in autism spectrum disorder are the result of motor execution difficulties, not reduced social motivation.


2019 ◽  
Vol 29 (2) ◽  
pp. 559-571
Author(s):  
Yaxuan Ren ◽  
Xiaoyi Hu ◽  
Zhuo Rachel Han ◽  
Xuan Yang ◽  
Mingyao Li

Abstract Objectives Parenting children with autism spectrum disorder may be different from parenting typically developing children. The current study systematically compared mindful parenting and parenting practices in families of children with autism spectrum disorder and in families of typically developing children in China. Methods 167 biological parents (Mage = 37.87) of Chinese children with autism spectrum disorder and 167 biological parents (Mage = 38.04) of typical developing children completed questionnaires regarding mindful parenting and parenting practices. A multivariate analysis of variance was conducted to compare between the two types of families with parent/child gender effects on mindful parenting and parenting practices. Then a series of path analyses were also conducted to examine the associations between mindful parenting and parenting practices in the two types of families. Results Compared to parents of typically developing children, parents of children with autism spectrum disorder showed less listening with full attention, less proactive parenting, less supportiveness, more lax control, and more physical control to their children; in families of children with autism spectrum disorder (but not in families of typically developing children), fathers showed less proactive parenting and supportiveness to their children than mothers. We also found that parents’ listening with full attention and awareness of children’s emotions were significantly related to both positive and negative parenting practices in families of children with autism spectrum disorder. Conclusions Chinese parents of children with autism spectrum disorder and parents of typically developing children display different parenting behaviors. These findings can provide us more future directions in studying parenting behaviors in Chinese families of children with autism spectrum disorder.


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