确定虚拟现实的应用,使中风转化管道受益。

Brain and neuroscience advances Pub Date : 2023-06-21 eCollection Date: 2023-01-01 DOI:10.1177/23982128231182506
Matan Bone, Maham Malik, Siobhan Crilly
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引用次数: 0

摘要

中风是导致死亡和发病的主要原因之一,人们对中风及其治疗进行了广泛的研究。尽管大量临床前研究确定了治疗靶点,但有效、特异性药物治疗的开发仍然有限。其中一个重要的限制因素是转化渠道的中断--临床前研究的成果并不总能在临床上得到复制。虚拟现实技术的最新发展可能有助于在整个研究过程中更好地了解损伤和恢复情况,从而找到最佳的中风治疗方法。在此,我们回顾了可应用于临床和临床前中风研究的技术。我们讨论了虚拟现实技术如何用于量化其他神经系统疾病的临床结果,这些技术有可能应用于中风研究。我们还回顾了目前在中风康复中的应用,并提出了沉浸式方案如何更好地促进中风损伤严重程度和患者康复的量化,使之与临床前研究设计相媲美。通过生成从损伤开始到康复的连续、标准化和可量化的数据,我们建议通过比照临床前的结果,我们可以应用更好的反向转化策略,并将这种理解应用到动物研究中。我们假设这种转化研究策略的组合可以提高临床前研究结果的可靠性,并最终实现中风治疗方案和药物在现实生活中的转化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying applications of virtual reality to benefit the stroke translational pipeline.

Identifying applications of virtual reality to benefit the stroke translational pipeline.

Identifying applications of virtual reality to benefit the stroke translational pipeline.

As a leading cause of mortality and morbidity, stroke and its management have been studied extensively. Despite numerous pre-clinical studies identifying therapeutic targets, development of effective, specific pharmacotherapeutics remain limited. One significant limitation is a break in the translational pipeline - promising pre-clinical results have not always proven replicable in the clinic. Recent developments in virtual reality technology might help generate a better understanding of injury and recovery across the whole research pipeline in search of optimal stroke management. Here, we review the technologies that can be applied both clinically and pre-clinically to stroke research. We discuss how virtual reality technology is used to quantify clinical outcomes in other neurological conditions that have potential to be applied in stroke research. We also review current uses in stroke rehabilitation and suggest how immersive programmes would better facilitate the quantification of stroke injury severity and patient recovery comparable to pre-clinical study design. By generating continuous, standardised and quantifiable data from injury onset to rehabilitation, we propose that by paralleling pre-clinical outcomes, we can apply a better reverse-translational strategy and apply this understanding to animal studies. We hypothesise this combination of translational research strategies may improve the reliability of pre-clinical research outcomes and culminate in real-life translation of stroke management regimens and medications.

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