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自评特质正念量表的信度及其与工作记忆表现和功能连接的关系。

Reliability of self-reported dispositional mindfulness scales and their association with working memory performance and functional connectivity.

机构信息

Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.

Division of Clinical Psychology and Psychiatry, Department of Psychology, University of Basel, Basel, Switzerland; Institute of Psychology, RWTH Aachen University, Germany.

出版信息

Brain Cogn. 2023 Jul;169:106001. doi: 10.1016/j.bandc.2023.106001. Epub 2023 May 24.

Abstract

We systematically investigated the link between trait mindfulness scores and functional connectivity (FC) features or behavioral data, to emphasize the importance of the reliability of self-report mindfulness scores. Sixty healthy young male participants underwent two functional MRI runs with three mindfulness or mind-wandering task blocks with an N-back task (NBT) block. The data from 49 participants (age: 23.3 ± 2.8) for whom two sets of the self-reported Mindfulness Attention Awareness Scale (MAAS) and NBT performance were available were analyzed. We divided participants into two groups based on the consistency level of their MAAS scores (i.e., a "consistent" and an "inconsistent" group). Then, the association between the MAAS scores and FC features or NBT performance was investigated using linear regression analysis with p-value correction and bootstrapping. Meaningful associations (a) between MAAS and NBT accuracy (slope = 0.41, CI = [0.10, 0.73], corrected p < 0.05), (b) between MAAS and the FC edges in the frontoparietal network, and (c) between the FC edges and NBT performance were only observed in the consistent group (n = 26). Our findings demonstrate the importance of appropriate screening mechanisms for self-report-based dispositional mindfulness scores when trait mindfulness scores are combined with neuronal features and behavioral data.

摘要

我们系统地研究了特质正念评分与功能连接(FC)特征或行为数据之间的联系,以强调自我报告正念评分可靠性的重要性。60 名健康年轻男性参与者进行了两次功能磁共振成像扫描,其中包括三个正念或走神任务块和一个 N -back 任务(NBT)块。分析了 49 名参与者(年龄:23.3±2.8)的数据,这些参与者有两组自我报告的正念注意意识量表(MAAS)和 NBT 表现。我们根据 MAAS 分数的一致性水平将参与者分为两组(即“一致”和“不一致”组)。然后,使用具有 p 值校正和引导的线性回归分析来研究 MAAS 分数与 FC 特征或 NBT 表现之间的关联。在一致性组(n=26)中仅观察到 MAAS 与 NBT 准确性之间的有意义关联(斜率=0.41,CI=[0.10,0.73],校正后的 p<0.05)、MAAS 与额顶网络中的 FC 边缘之间的关联,以及 FC 边缘与 NBT 表现之间的关联。我们的发现表明,当特质正念评分与神经元特征和行为数据相结合时,自我报告的基于特质的正念评分需要适当的筛选机制。

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