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Meditation induces shifts in neural oscillations, brain complexity and critical dynamics: Novel insights from MEG

Annalisa Pascarella, Philipp Thölke, David Meunier, Jordan O’Byrne, Tarek Lajnef, Antonino Raffone, Roberto Guidotti, Vittorio Pizzella, Laura Marzetti, Karim Jerbi

bioRxiv March 19, 2025 preprint DOI: 10.1101/2025.03.18.643795 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational neuroimaging study
Population Expert Buddhist monks
Measures power spectral density (PSD), long-range temporal correlations (LRTC), deviation from criticality coefficient (DCC), Lempel-Ziv complexity (LZC), 1/f slope, Higuchi fractal dimension (HFD), spectral entropy
Topics Meditation
Key findings During both Samatha and Vipassana meditation, monks showed increased neural signal complexity and reduced gamma-band long-range temporal correlations and 1/f slope relative to rest. A deviation-from-criticality measure distinguished the two practices, which the authors suggest reflects their distinct phenomenological properties. Gamma power decreased during meditation, which the authors attribute to 1/f slope correction.

Abstract

While the beneficial impacts of meditation are increasingly acknowledged, its underlying neural mechanisms remain poorly understood. We examined the electrophysiological brain signals of expert Buddhist monks during two established meditation methods known as Samatha and Vipassana, which employ focused attention and open monitoring technique. By combining source-space magnetoencephalography (MEG) with advanced signal processing and machine learning tools, we provide an unprecedented assessment of the role of brain oscillations, complexity and criticality in meditation. In addition to power spectral density (PSD), we computed long-range temporal correlations (LRTC), deviation from criticality coefficient (DCC), Lempel-Ziv complexity (LZC), 1/f slope, Higuchi fractal dimension (HFD), and spectral entropy. Our findings indicate increased levels of neural signal complexity during both meditation practices compared to the resting state, along-side widespread reductions in gamma-band LRTC and 1/f slope. Importantly, the DCC analysis revealed a separation between Samatha and Vipassana, suggesting that their distinct phenomenological properties are mediated by specific computational characteristics of their dynamic states. Furthermore, in contrast to most previous reports, we observed a decrease in oscillatory gamma power during meditation, a divergence we attribute to the correction of the power spectrum by the 1/f slope. We discuss how these results advance our comprehension of the neural processes associated with focused attention and open monitoring meditation practices.

Comparable studies

Other experimental studies on meditation, most cited first.

Study Year Design Participants
The benefits of being present: Mindfulness and its role in psychological well-being. Cancer patients (clinical intervention study) 2003 Mixed methods: scale development, correlational, quasi-experimental, laboratory, experience-sampling, and clinical intervention study
Loving-kindness meditation increases social connectedness. 2008 Controlled laboratory experiment
Mindfulness and mind-wandering: Finding convergence through opposing constructs. 2012 Two studies: correlational study and experimental study
Mental Training Enhances Attentional Stability: Neural and Behavioral Evidence 2009 Experimental study
Mindfulness meditation and substance use in an incarcerated population. Incarcerated population 2006 Quasi-experimental with treatment-as-usual control condition

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