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可靠、快速、远程测量元认知偏差。

Reliable, rapid, and remote measurement of metacognitive bias.

机构信息

Department of Psychology, Trinity College Dublin, Dublin, Ireland.

Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland.

出版信息

Sci Rep. 2024 Jun 28;14(1):14941. doi: 10.1038/s41598-024-64900-0.

DOI:10.1038/s41598-024-64900-0
PMID:38942811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11213917/
Abstract

Metacognitive biases have been repeatedly associated with transdiagnostic psychiatric dimensions of 'anxious-depression' and 'compulsivity and intrusive thought', cross-sectionally. To progress our understanding of the underlying neurocognitive mechanisms, new methods are required to measure metacognition remotely, within individuals over time. We developed a gamified smartphone task designed to measure visuo-perceptual metacognitive (confidence) bias and investigated its psychometric properties across two studies (N = 3410 unpaid citizen scientists, N = 52 paid participants). We assessed convergent validity, split-half and test-retest reliability, and identified the minimum number of trials required to capture its clinical correlates. Convergent validity of metacognitive bias was moderate (r(50) = 0.64, p < 0.001) and it demonstrated excellent split-half reliability (r(50) = 0.91, p < 0.001). Anxious-depression was associated with decreased confidence (β =  - 0.23, SE = 0.02, p < 0.001), while compulsivity and intrusive thought was associated with greater confidence (β = 0.07, SE = 0.02, p < 0.001). The associations between metacognitive biases and transdiagnostic psychiatry dimensions are evident in as few as 40 trials. Metacognitive biases in decision-making are stable within and across sessions, exhibiting very high test-retest reliability for the 100-trial (ICC = 0.86, N = 110) and 40-trial (ICC = 0.86, N = 120) versions of Meta Mind. Hybrid 'self-report cognition' tasks may be one way to bridge the recently discussed reliability gap in computational psychiatry.

摘要

元认知偏差与“焦虑-抑郁”和“强迫和侵入性思维”等跨诊断精神科维度在横断面上反复相关。为了深入了解潜在的神经认知机制,需要新的方法来远程测量个体随时间的元认知。我们开发了一种游戏化的智能手机任务,旨在测量视觉感知元认知(信心)偏差,并在两项研究中(N=3410 名无报酬的公民科学家,N=52 名付费参与者)研究其心理测量特性。我们评估了收敛效度、半分测试和重测信度,并确定了捕获其临床相关性所需的最小试验次数。元认知偏差的收敛效度适中(r(50)=0.64,p<0.001),且表现出极好的半分可靠性(r(50)=0.91,p<0.001)。焦虑-抑郁与信心降低有关(β= -0.23,SE=0.02,p<0.001),而强迫和侵入性思维与更大的信心有关(β=0.07,SE=0.02,p<0.001)。元认知偏差与跨诊断精神病学维度之间的关联在 40 次试验中即可显现。在会话内和会话间,决策中的元认知偏差是稳定的,在 100 次试验(ICC=0.86,N=110)和 40 次试验(ICC=0.86,N=120)的 Meta Mind 版本中具有非常高的重测信度。混合“自我报告认知”任务可能是弥合计算精神病学中最近讨论的可靠性差距的一种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/575340182b08/41598_2024_64900_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/22e102bf3375/41598_2024_64900_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/87b22a74d0c7/41598_2024_64900_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/575340182b08/41598_2024_64900_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/22e102bf3375/41598_2024_64900_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/6ff63a650976/41598_2024_64900_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/dbbd48031c1c/41598_2024_64900_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/87b22a74d0c7/41598_2024_64900_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c77/11213917/575340182b08/41598_2024_64900_Fig5_HTML.jpg

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Dynamic computational phenotyping of human cognition.人类认知的动态计算表型分析。
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