The Mindful Brain at Rest: Neural Oscillations and Aperiodic Activity in Experienced Meditators
Brittany McQueen, Oscar W. Murphy, Paul B. Fitzgerald, Neil W. Bailey
Mindfulness October 1, 2024 DOI: 10.1007/s12671-024-02461-z (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort Preregistered Peer reviewed |
|---|---|
| Sample size | 92 |
| Population | Experienced meditators and demographically matched non-meditators |
| Topics | Meditation |
| Keywords | Aperiodic graph Rest music Neural activity Electroencephalography Cognitive psychology Psychotherapist |
| Citations | 6 |
| Key findings | Meditators showed differences in theta, alpha, and gamma oscillatory power compared to non-meditators, primarily driven by differences in distribution of neural activity. |
Abstract
Abstract Objectives Previous research has demonstrated that mindfulness meditation is associated with a variety of benefits, including improved mental health. Researchers have suggested these benefits may be underpinned by differences in neural oscillations. However, previous studies measuring neural oscillations have not controlled for non-oscillatory neural activity, the power spectrum of which follows a 1/f distribution (whereby the power of neural activity at each frequency is inversely proportional to that frequency (such that as frequency increases, power decreases)) and contributes to power measurements within oscillation frequencies of interest. We applied recently developed methods to determine if past findings related to neural oscillations in meditation are present even after controlling for non-oscillatory 1/f activity.
Method: Forty-eight experienced meditators and 44 demographically matched non-meditators provided resting electroencephalography (EEG) recordings. Whole-scalp EEG comparisons (topographical ANOVAs) were used to test for differences between meditators and non-meditators in the distribution or global power of activity for theta, alpha, beta, and gamma oscillations, and for the 1/f components slope and intercept using the extended Better OSCillation detection toolbox.
Results: Results indicated that meditators showed differences in theta, alpha, and gamma oscillatory power compared to non-meditators (all p < 0.05). Post hoc testing suggested that the oscillatory differences were primarily driven by differences in the distribution of neural activity between meditators and non-meditators, rather than differences in the overall power across all scalp electrodes.
Conclusions: Our results suggest that experience with meditation is associated with higher oscillatory power and altered distributions of theta, alpha, and gamma oscillations, even after controlling for non-oscillatory 1/f activity. Band-specific differences in oscillatory activity may be a mechanism through which meditation leads to neurophysiological benefits. Preregistration This study was not preregistered.
Comparable studies
Other observational and cohort studies on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Using Self-Report Assessment Methods to Explore Facets of Mindfulness Undergraduate students | 2006 | Observational cohort | |
| Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia | 1992 | Observational cohort | n = 22 |
| Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls | 2005 | Observational cohort | n = 20 |
| Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls | 2011 | Observational cohort | |
| Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Long-term Buddhist practitioners and controls | 2004 | Observational cohort |
Citations in the library
Cited by 4
- Effects of mindfulness-based interventions (MBIs) on psychotic symptoms and psychological outcomes in patients with schizophrenia spectrum disorders: A systematic review and meta-analysis. Psychiatry Research December 1, 2024
- Neural Differences in Conflict Monitoring, Stimulus Expectancy, and Attention-Related Processes in Experienced Meditators Mindfulness July 3, 2026
- The Neurodynamic Core of Meditation: Dissociating Meditation from Rest and Task in a Reliability-based EEG study bioRxiv Preprint Server May 27, 2026
- Intentional Slow Breathing Versus Spontaneous Breathing During Mindfulness Meditation Differentially Affects Electroencephalographic Oscillations and Skin Conductance Mindfulness May 26, 2026
Cites 28
- A default mode of brain function Proceedings of the National Academy of Sciences January 16, 2001
- Using Self-Report Assessment Methods to Explore Facets of Mindfulness Assessment January 27, 2006
- How Does Mindfulness Meditation Work? Proposing Mechanisms of Action From a Conceptual and Neural Perspective Perspectives on Psychological Science October 14, 2011
- Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Proceedings of the National Academy of Sciences November 8, 2004
- A systematic review of neurobiological and clinical features of mindfulness meditations Psychological Medicine November 27, 2009
and 23 more in the library