Massachusetts Institute of Technology.
Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA.
J Cogn Neurosci. 2024 Nov 1;36(11):2518-2555. doi: 10.1162/jocn_a_02230.
Trait self-report mindfulness scales measure one's disposition to pay nonjudgmental attention to the present moment. Concerns have been raised about the validity of trait mindfulness scales. Despite this, there is extensive literature correlating mindfulness scales with objective brain measures, with the goal of providing insight into mechanisms of mindfulness, and insight into associated positive mental health outcomes. Here, we systematically examined the neural correlates of trait mindfulness. We assessed 68 correlational studies across structural magnetic resonance imaging, task-based fMRI, resting-state fMRI, and EEG. Several consistent findings were identified, associating greater trait mindfulness with decreased amygdala reactivity to emotional stimuli, increased cortical thickness in frontal regions and insular cortex regions, and decreased connectivity within the default-mode network. These findings converged with results from intervention studies and those that included mindfulness experts. On the other hand, the connections between trait mindfulness and EEG metrics remain inconclusive, as do the associations between trait mindfulness and between-network resting-state fMRI metrics. ERP measures from EEG used to measure attentional or emotional processing may not show reliable individual variation. Research on body awareness and self-relevant processing is scarce. For a more robust correlational neuroscience of trait mindfulness, we recommend larger sample sizes, data-driven, multivariate approaches to self-report and brain measures, and careful consideration of test-retest reliability. In addition, we should leave behind simplistic explanations of mindfulness, as there are many ways to be mindful, and leave behind simplistic explanations of the brain, as distributed networks of brain areas support mindfulness.
特质自我报告正念量表衡量一个人对当下时刻进行非评判性注意的倾向。人们对特质正念量表的有效性提出了担忧。尽管如此,仍有大量文献将正念量表与客观的大脑测量结果相关联,旨在深入了解正念的机制,并深入了解相关的积极心理健康结果。在这里,我们系统地研究了特质正念的神经相关性。我们评估了 68 项关于结构磁共振成像、任务型 fMRI、静息态 fMRI 和 EEG 的相关性研究。确定了一些一致的发现,即特质正念程度越高,对情绪刺激的杏仁核反应性越低,额叶和脑岛区域的皮质厚度增加,默认模式网络内的连接性降低。这些发现与干预研究以及包括正念专家在内的研究结果一致。另一方面,特质正念与 EEG 指标之间的联系仍不确定,特质正念与网络间静息态 fMRI 指标之间的联系也是如此。用于测量注意力或情绪处理的 EEG 中的 ERP 测量可能不会显示出可靠的个体差异。关于身体意识和自我相关处理的研究很少。为了更稳健的特质正念相关神经科学研究,我们建议采用更大的样本量、数据驱动的、多变量的自我报告和大脑测量方法,并仔细考虑测试 - 重测信度。此外,我们应该摒弃对正念的简单解释,因为有很多种正念的方式,也应该摒弃对大脑的简单解释,因为大脑的分布式网络支持正念。