Monitorage des mesures physiologiques et des comportements répétitifs associés au stress chez les enfants ayant un trouble du spectre de l’autisme
Autism spectrum disorder (ASD) is characterized by the presence of difficulties in social communication and the presence of repetitive behaviors and restricted interests (American Psychiatric Association, 2013). Children with ASD have several concurrent difficulties, such as deficits in communication, socialization, and executive function, as well as the presence of sensory peculiarities that make them more likely to experience high levels of stress (Groden et al., 2005). Although these children are at increased risk for stress, a number of methodological issues make it difficult to measure, particularly in non-verbal children. For these reasons, the use of physiological measures to assess stress among this group is highly relevant. On the other hand, the sensory sensitivities of these children could potentially make them more likely to be intolerant to these measures. Therefore, the first study in this thesis aims to evaluate the effectiveness of differential reinforcement of other behavior (DRO) to increase compliance with wearing a heart rate monitor in two non-verbal children with ASD. The results obtained portray that this intervention was effective in getting these children to increase their compliance to wearing a cardiac device. Another aspect that has received much attention in recent years is the involvement of stress in explaining repetitive behaviors in individuals with ASD. However, the results of previous studies have been producing contradictory results (de Vaan et al., 2018; Gabriels et al., 2013; Hutt et al., 1975; Lydon et al., 2015; Yang et al., 2015), and have mainly been using indirect measures of stereotypy. For this reason, the second study in this thesis aims to evaluate the relationship between salivary cortisol, heart rate, and direct observational measures of stereotypy in four minimally verbal children with ASD. The results show that cortisol and heart rate are significantly related to global and motor stereotypy, but not to vocal stereotypy. Finally, measuring stereotypy requires a lot of resources, which could explain the preponderance of indirect measuring in studies on stress. As with the measurement of stress, it is important to consider affordable and alternative methods that could improve the measurement of these behaviors, and therefore the third study evaluated the effectiveness of an artificial intelligence (AI) algorithm in the recognition of vocal stereotypy in children with ASD. The results show that the performance of the algorithm is superior to recognition due to chance. Although future research is needed to increase the effectiveness of this method, AI represents an innovative technology with the potential to significantly improve the methods currently used to measure vocal stereotypy. In conclusion, this thesis explores different innovative methods to better understand and monitor stereotypy in children with ASD.
stress autism stereotypy repetitive behavior stress heart rate salivary cortisol artificial intelligence differential reinforcement of other behavior (DRO)