Motor signs are critical features of psychosis that remain underutilized in clinical practice. These signs, including social motor behaviors, mechanistically relevant motor signs, and other motor abnormalities, have demonstrated potential as biomarkers for early detection and intervention. However, their application in clinical settings remains limited due to challenges such as cost, accessibility, and integration into clinical workflows. Recent advancements in related research fields, such as Human Movement Sciences and Affective Computing, offer promising solutions, enabling scalable and precise measurement of patients motor signs. In this editorial, we explore the spectrum of motor signs and highlight the evolving role of motor assessments in psychosis research. By examining traditional assessment methods alongside alternative and innovative tools, we underscore the potential of leveraging technology and methodology to bridge the gap between research and clinical application, ultimately advancing personalized care and improving outcomes.

中文翻译：

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捕捉精神病的运动体征：新技术如何改善评估和治疗？

运动体征是精神病的关键特征，在临床实践中仍未得到充分利用。这些迹象，包括社会运动行为、机械相关的运动迹象和其他运动异常，已被证明具有作为早期检测和干预的生物标志物的潜力。然而，由于成本、可及性和与临床工作流程的集成等挑战，它们在临床环境中的应用仍然有限。人体运动科学和情感计算等相关研究领域的最新进展提供了有前途的解决方案，能够对患者的运动体征进行可扩展和精确的测量。在这篇社论中，我们探讨了运动体征的范围，并强调了运动评估在精神病研究中不断演变的作用。通过研究传统评估方法以及替代和创新工具，我们强调了利用技术和方法弥合研究和临床应用之间差距的潜力，最终推进个性化护理并改善结果。