Annotated Bibliography Entry

Carati, E., Angotti, M., Pignataro, V., Grossi, E., & Parmeggiani, A. (2024).
Exploring sensory alterations and repetitive behaviors in children with autism spectrum disorder from the perspective of artificial neural networks. Research in Developmental Disabilities, 155, 104881. https://doi.org/10.1016/j.ridd.2024.104881

Summary

This study investigates the intricate relationship between sensory processing disorders and restrictive repetitive behaviors (RRBs) in children with autism spectrum disorder (ASD). Using advanced artificial neural networks (ANNs) and Auto Contractive Maps (Auto-CM), the researchers analyzed data from 45 caregivers of ASD children, focusing on scores from the Short Sensory Profile (SSP) and the Repetitive Behavior Scale-Revised (RBS-R). The analysis uncovered notable associations between sensory abnormalities, RRBs, and sleep disturbances, highlighting the potential existence of sensory phenotypes within ASD populations. This novel approach emphasizes the applicability of ANNs in understanding complex variable interactions and improving individualized therapeutic interventions.

Evaluation

The authors provide a groundbreaking application of ANNs in ASD research, showcasing how these adaptive models can uncover hidden trends in non-linear data. The study’s use of Auto-CM technology offers an innovative perspective on the relationship between sensory and behavioral symptoms in ASD, an area often limited by traditional statistical methods. While the sample size is relatively small, the study’s findings are significant for their potential to advance early diagnosis and personalized rehabilitation approaches. However, future research could enhance generalizability by involving larger, more diverse cohorts.

Reflection

This research emphasizes the importance of interdisciplinary approaches, such as combining computational tools with clinical data, to address complex challenges in ASD. The study aligns with my interest in integrating artificial intelligence to develop personalized learning and therapeutic interventions for autistic students. The connections between RRBs, sensory abnormalities, and sleep disturbances inspire new pathways for improving educational and behavioral outcomes through targeted strategies.

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APA references:

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  3. Turner, K. H., & Hicks, T. (2022).
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