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<p>Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder often accompanied by cognitive impairments. Computerized cognitive training (CCT) has emerged as a scalable and engaging intervention to address these deficits. This systematic review evaluates the efficacy of CCT in improving cognitive functions among children and adolescents with ASD. A comprehensive search across seven databases was conducted from inception to February 24, 2025, supplemented by manual searches. A total of 15 studies involving 763 children and adolescents with ASD, aged 3 to 15 years, were included. CCT significantly improved social cognition, executive function, and attention. However, long-term follow-up data were limited. CCT holds potential as a complementary intervention for cognitive deficits in ASD, particularly through adaptive and immersive technologies. Future research should prioritize longitudinal designs, ecological validity, and standardized protocols to optimize clinical utility.</p>

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Effects of Computerized Cognitive Training in Children and Adolescents with Autism Spectrum Disorder: A Systematic Review

  • 期刊论文

  • 发表日期：

    2025年7月18日

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  • Yaoyu Lin,
  • Yuxi Qiu,
  • Yuzhan Gao,
  • Xuesen Wu,
  • Yi Zeng,
  • Jingsong Wu

摘要

Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder often accompanied by cognitive impairments. Computerized cognitive training (CCT) has emerged as a scalable and engaging intervention to address these deficits. This systematic review evaluates the efficacy of CCT in improving cognitive functions among children and adolescents with ASD. A comprehensive search across seven databases was conducted from inception to February 24, 2025, supplemented by manual searches. A total of 15 studies involving 763 children and adolescents with ASD, aged 3 to 15 years, were included. CCT significantly improved social cognition, executive function, and attention. However, long-term follow-up data were limited. CCT holds potential as a complementary intervention for cognitive deficits in ASD, particularly through adaptive and immersive technologies. Future research should prioritize longitudinal designs, ecological validity, and standardized protocols to optimize clinical utility.