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沉浸式环境在神经精神疾病早期检测与治疗中的应用。

The Use of Immersive Environments for the Early Detection and Treatment of Neuropsychiatric Disorders.

作者信息

Martin Robert F K, Leppink-Shands Patrick, Tlachac Matthew, DuBois Megan, Conelea Christine, Jacob Suma, Morellas Vassilios, Morris Theodore, Papanikolopoulos Nikolaos

机构信息

Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, United States.

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States.

出版信息

Front Digit Health. 2021 Feb 4;2:576076. doi: 10.3389/fdgth.2020.576076. eCollection 2020.

Abstract

Neuropsychiatric disorders are highly prevalent conditions with significant individual, societal, and economic impacts. A major challenge in the diagnosis and treatment of these conditions is the lack of sensitive, reliable, objective, quantitative tools to inform diagnosis, and measure symptom severity. Currently available assays rely on self-reports and clinician observations, leading to subjective analysis. As a step toward creating quantitative assays of neuropsychiatric symptoms, we propose an immersive environment to track behaviors relevant to neuropsychiatric symptomatology and to systematically study the effect of environmental contexts on certain behaviors. Moreover, the overarching theme leads to connected tele-psychiatry which can provide effective assessment.

摘要

神经精神疾病是高度流行的疾病,对个人、社会和经济都有重大影响。这些疾病诊断和治疗中的一个主要挑战是缺乏灵敏、可靠、客观、定量的工具来辅助诊断和衡量症状严重程度。目前可用的检测方法依赖于自我报告和临床医生的观察,导致分析具有主观性。作为创建神经精神症状定量检测方法的第一步,我们提出一种沉浸式环境,以跟踪与神经精神症状学相关的行为,并系统地研究环境背景对某些行为的影响。此外,这一总体主题还催生了可提供有效评估的联网远程精神病学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de3b/8521840/7439f08435a0/fdgth-02-576076-g0001.jpg

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