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 (opens in new tab)
Study at a glance
AI-extracted from the abstract| 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 |
| Topics | Meditation |
| Citations | 35 |
| Key findings | 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.
Comparable studies
Other systematic reviews and meta-analyses on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Meditation Programs for Psychological Stress and Well-being Diverse adult clinical populations | 2014 | Meta-analysis | n = 3,515 |
| Mindfulness-Based Stress Reduction for Stress Management in Healthy People: A Review and Meta-Analysis Healthy subjects | 2009 | Systematic review and meta-analysis | |
| The psychological effects of meditation: A meta-analysis. Nonclinical groups of adult meditators | 2012 | Meta-analysis | n = 163 |
| Efficacy of Mindfulness-Based Cognitive Therapy in Prevention of Depressive Relapse Adults with recurrent depression in full or partial remission | 2016 | Meta-analysis of individual patient data from randomized controlled trials | n = 1,258 |
| Mindfulness‐Based Stress Reduction and Mindfulness‐Based Cognitive Therapy – a systematic review of randomized controlled trials | 2011 | Systematic review |
Citations in the library
Cited by 26
- Mindfulness-Based Cognitive Therapy in Clinical Practice: A Systematic Review of Neurocognitive Outcomes and Applications for Mental Health and Well-Being. Journal of Clinical Medicine March 3, 2025
- The associations and effects of mindfulness on anger and aggression: A meta-analytic review. Clinical Psychology Review June 1, 2025
- Neurophysiological mechanisms of focused attention meditation: A scoping systematic review Imaging Neuroscience 2025
- Mindfulness, cognition, and long-term meditators: Toward a science of advanced meditation. Imaging Neuroscience 2025
- Connectome-Based Predictive Modeling of Trait Mindfulness. Human Brain Mapping 2025
and 21 more in the library