Ascone Leonie, Wirtz Janina, Mellentin Angelina Isabella, Kugler Dimitrij, Bremer Thomas, Schadow Friedrich, Hoppe Stine, Jebens Charlotte, Kühn Simone
Neuronal Plasticity Working Group, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany.
Unit for Clinical Alcohol Research, Unit for Psychiatric Research, Department of Clinical Research, University of Southern Denmark, J. B. Winsløwvej 18, 5000 Odense C, Denmark.
Virtual Real. 2023;27(3):2711-2722. doi: 10.1007/s10055-023-00835-7. Epub 2023 Aug 3.
Study aims were to (I) transfer the measurement of the approach bias (Apb) related to alcoholic stimuli via the Approach Avoidance Task (AAT) into Virtual Reality (VR), (II) check whether measuring Apb in VR leads to similar or different results compared to the classical PC-based version, (III) check the validity of VR versus PC-based bias scores in terms of relatedness to clinical variables. Different 'grasping-conditions' were tested and contrasted in VR concerning (Ia) feasibility (performance): (1) , (2) , (3) when stimuli towards oneself. (Ib) Differences in the bias scores between patients with alcohol use disorder (AUD) and healthy controls (HC) were examined for each grasping-condition. (II) PC-based bias scores were computed and contrasted for AUD versus HC. (III) Correlations of the different VR- versus PC-based bias scores with AUD symptom severity and impulsivity were checked to evaluate validity. (Ia) Grasping-condition 1, followed by 3, showed acceptable (> 50%) and good (> 80%) rates of correct performances allowing for robust median estimation. (Ib) Significant differences in the resulting bias scores emerged between AUD and HC only for grasping-condition 1 ( = 0.034) and 3 at trend-level ( = 0.093). For grasping-condition 1 the Apb Median for AUD was different from zero at a non-significant trend-level ( = 0.064). (II) The PC-based bias scores did not discriminate between AUD versus HC groups. (III) Grasping-condition 1 and 3 VR-based bias scores correlated significantly with impulsivity. In sum, transferring the AAT into VR is feasible, valid, and best implemented without an additional grasping-component when using the VR-controller. This way of Apb assessment represents a viable, perhaps even superior, alternative to PC-based assessments. The trial was pre-registered at AsPredicted #76854: 'Transferring the approach avoidance task into virtual reality', 10/13/2021; prior to any analyses being undertaken.
（I）通过趋近-回避任务（AAT）将与酒精刺激相关的趋近偏差（Apb）测量转换到虚拟现实（VR）环境中；（II）检查在VR环境中测量Apb与基于传统PC版本相比是否会产生相似或不同的结果；（III）从与临床变量的相关性方面检查VR与基于PC的偏差分数的有效性。在VR环境中测试并对比了不同的“抓取条件”，涉及（Ia）可行性（表现）：（1），（2），（3）当刺激朝向自身时。（Ib）针对每种抓取条件，检查酒精使用障碍（AUD）患者与健康对照（HC）之间偏差分数的差异。（II）计算并对比AUD与HC的基于PC的偏差分数。（III）检查不同的基于VR与基于PC的偏差分数与AUD症状严重程度和冲动性的相关性，以评估有效性。（Ia）抓取条件1，其次是3，显示出可接受的（>50%）和良好的（>80%）正确表现率，允许进行稳健的中位数估计。（Ib）仅在抓取条件1（p = 0.034）和趋势水平的条件3（p = 0.093）下，AUD和HC之间的偏差分数出现显著差异。对于抓取条件1，AUD的Apb中位数在非显著趋势水平（p = 0.064）下与零不同。（II）基于PC的偏差分数无法区分AUD与HC组。（III）抓取条件1和3的基于VR的偏差分数与冲动性显著相关。总之，将AAT转换到VR环境中是可行、有效的，并且在使用VR控制器时，无需额外的抓取组件即可最佳实施。这种Apb评估方法是基于PC评估的一种可行的，甚至可能更优越的替代方法。该试验在AsPredicted #76854上进行了预注册：“将趋近-回避任务转换到虚拟现实中”，2021年10月13日；在进行任何分析之前。
