Razzak Rehma, Li Joy, He Selena, Sokhadze Estate
Department of Computer Science, Kennesaw State University, Marietta, GA 30060, USA.
Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA 30060, USA.
Brain Sci. 2023 Nov 9;13(11):1571. doi: 10.3390/brainsci13111571.
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, and there is growing interest in the use of extended reality (XR) technologies for intervention. Despite the promising potential of XR interventions, there remain gaps in our understanding of the neurobiological mechanisms underlying ASD, particularly in relation to sex-based differences. This scoping review synthesizes the current research on brain activity patterns in ASD, emphasizing the implications for XR interventions and neurofeedback therapy. We examine the brain regions commonly affected by ASD, the potential benefits and drawbacks of XR technologies, and the implications of sex-specific differences for designing effective interventions. Our findings underscore the need for ongoing research into the neurobiological underpinnings of ASD and sex-based differences, as well as the importance of developing tailored interventions that consider the unique needs and experiences of autistic individuals.
自闭症谱系障碍(ASD)影响着全球数百万人,人们对使用扩展现实(XR)技术进行干预的兴趣与日俱增。尽管XR干预具有潜在的前景,但我们对ASD背后的神经生物学机制仍缺乏了解,尤其是在基于性别的差异方面。本综述综合了当前关于ASD脑活动模式的研究,强调了其对XR干预和神经反馈治疗的意义。我们研究了ASD通常影响的脑区、XR技术的潜在利弊,以及性别差异对设计有效干预措施的影响。我们的研究结果强调了持续研究ASD的神经生物学基础和性别差异的必要性,以及开发考虑自闭症个体独特需求和经历的定制干预措施的重要性。