The Mindful Brain: A Systematic Review of the Neural Correlates of Trait Mindfulness.
Isaac N Treves, Kannammai Pichappan, Jude Hammoud, Clemens C C Bauer, Sebastian Ehmann, Matthew D Sacchet, John D E Gabrieli
Journal of cognitive neuroscience November 1, 2024 DOI: 10.1162/jocn_a_02230 via PubMed
Summary
AI-generated from the abstractGreater trait mindfulness, measured by self-report scales, is consistently linked with reduced amygdala reactivity to emotional stimuli, increased cortical thickness in frontal and insular regions, and decreased connectivity within the default-mode network, converging with findings from intervention studies and mindfulness experts. However, associations with EEG metrics and between-network resting-state fMRI remain inconclusive. The authors recommend larger samples, multivariate approaches, and careful reliability testing, urging a move away from simplistic explanations of mindfulness and brain function.
Study at a glance
| Characteristics | Systematic review Peer reviewed |
|---|---|
| Sample size | 68 |
| Population | Participants from 68 correlational studies using structural MRI, task-based fMRI, resting-state fMRI, and EEG |
| Citations | 35 |
| Key finding | Greater trait mindfulness is consistently associated with decreased amygdala reactivity, increased frontal and insular cortical thickness, and decreased default-mode network connectivity. |
Abstract
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.