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虚拟环境作为一种在(神经)诊断和(神经)治疗中新颖且有前景的方法:以自闭症谱系障碍为例的视角

Virtual environments as a novel and promising approach in (neuro)diagnosis and (neuro)therapy: a perspective on the example of autism spectrum disorder.

作者信息

Sokołowska Ewa, Sokołowska Beata, Chrapusta Stanisław J, Sulejczak Dorota

机构信息

Department of Developmental Psychology, Faculty of Social Sciences, Institute of Psychology, The John Paul II Catholic University of Lublin, Lublin, Poland.

Bioinformatics Laboratory, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland.

出版信息

Front Neurosci. 2025 Jan 15;18:1461142. doi: 10.3389/fnins.2024.1461142. eCollection 2024.

Abstract

Over the last three decades, dynamically evolving research using novel technologies, including virtual environments (VEs), has presented promising solutions for neuroscience and neuropsychology. This article explores the known and potential benefits and drawbacks of employing modern technologies for diagnosing and treating developmental disorders, exemplified by autism spectrum disorder (ASD). ASD's complex nature is ideal for illustrating the advantages and disadvantages of the digital world. While VEs' possibilities remain under-explored, they offer enhanced diagnostics and treatment options for ASD, augmenting traditional approaches. Unlike real-world obstacles primarily rooted in social challenges and overwhelming environments, these novel technologies provide unique compensatory opportunities for ASD-related deficits. From our perspective in addition to other recent work, digital technologies should be adapted to suit the specific needs of individuals with ASD.

摘要

在过去三十年里,使用包括虚拟环境(VEs)在内的新技术进行的动态发展研究,为神经科学和神经心理学带来了有前景的解决方案。本文探讨了利用现代技术诊断和治疗发育障碍(以自闭症谱系障碍(ASD)为例)的已知和潜在的益处与弊端。ASD的复杂性质非常适合用来阐释数字世界的优缺点。虽然虚拟环境的可能性仍未得到充分探索,但它们为ASD提供了增强的诊断和治疗选择,补充了传统方法。与主要源于社会挑战和压倒性环境的现实世界障碍不同,这些新技术为与ASD相关的缺陷提供了独特的补偿机会。从我们的角度以及其他近期研究来看,数字技术应加以调整以适应ASD个体的特定需求。

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Biomarkers for autism spectrum disorder: a short review.自闭症谱系障碍的生物标志物:简要综述。
Ann Med Surg (Lond). 2024 Oct 23;86(12):7227-7231. doi: 10.1097/MS9.0000000000002689. eCollection 2024 Dec.

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