August 2, 2022
Arnaud Poublan-Couzardot, Giuseppe Pagnoni, Antoine Lutz
10 citations
preprint
Pain perception is shaped by expectations and individual differences in how people think and feel about pain. Using predictive processing theory, which views the brain as a Bayesian inference machine, researchers analyzed pain intensity and unpleasantness ratings from 54 healthy meditation practitioners. They modeled how the brain integrates sensory information, expectations, and a stable personal prior about pain. The model extended previous work by separately accounting for sensory and affective pain components. Pain catastrophizing and cognitive defusion correlated oppositely with model parameters representing their computational counterparts. Lifetime meditation practice was strongly and inversely linked to the weight of short-term expectations and to a trait-like prior affecting the emotional dimension of pain.
Biological psychiatry global open science
July 1, 2025
Oussama Abdoun, Arnaud Poublan-Couzardot, Stéphane Offort et al.
5 citations
Most meditation research uses trait questionnaires that miss moment-to-moment changes during practice. The Lyon Assessment of Meditation Phenomenology (LAMP) questionnaire was developed to capture contextual, emotional, bodily, attentional, cognitive, and metacognitive dimensions of meditation. Fifty-three experienced meditators completed the LAMP after each session during a 10-day retreat. Over 60% of the assessed dimensions changed significantly over time, with distinct trajectories depending on meditation type (focused attention vs. open monitoring) and individual expertise. Three clusters of individual trajectories emerged, linked to prior experience and difficulties during the retreat. Findings on pain regulation were replicated and extended. This approach offers a rich, dynamic characterization of meditative experience.
Neuroscience of Consciousness
November 7, 2025
Arnaud Poublan-Couzardot, Alexandre Foncelle, Éric Koun et al.
Active inference theory holds that motor actions rely on suppressing prediction errors from the body to match expected movements. This study investigated whether experienced meditators show altered somatosensory attenuation during a force-matching task. At baseline, a general somatosensory attenuation effect was present and correlated negatively with trait mindfulness, as predicted. However, intensive meditation practice did not produce a global reduction in attenuation. Instead, control participants showed a regression-to-the-mean effect that increased with task repetition, while active participants maintained their baseline level, suggesting the retreat may have affected the formation of prior expectations about force intensity. The authors discuss multiple, possibly opposite effects of meditation on proprioceptive inference.
September 15, 2021
Enrico Fucci, Arnaud Poublan-Couzardot, Oussama Abdoun et al.
preprint
Auditory mismatch negativity (MMN) is a brain response linked to attention and perception, and recent theories suggest mindfulness meditation may alter it. This study attempted to replicate earlier findings that meditation states and expertise modulate MMN amplitude, using a larger sample for greater statistical power. Traditional analysis found no effects of meditation states or expertise on MMN amplitude, failing to replicate prior work. Bayesian analysis provided strong evidence against an interaction between expertise and meditation states, and only moderate evidence for a weak expertise effect during focused attention. However, increased alpha brainwave power during meditation was replicated. The null findings are discussed in light of low statistical power, flexible analysis methods, and possible publication bias in previous research.
Oussama Abdoun, Arnaud Poublan-Couzardot, Stéphane Offort et al.
preprint
A new questionnaire, the Lyon Assessment of Meditation Phenomenology (LAMP), captures how meditation experiences change over time across seven domains: context, intention, emotion, body, attention, thought, and self-awareness. Fifty-three experienced meditators completed the LAMP after each session during a 10-day retreat. Over 60% of the measured dimensions changed significantly, with distinct patterns for focused attention versus open monitoring meditation and for meditators of different expertise levels. Three clusters of individual trajectories emerged, linked to prior experience and difficulties during the retreat. The approach also replicated and extended prior findings on pain regulation. The findings suggest that meditation experience is dynamic and multidimensional, and the LAMP may help deepen understanding of meditation's mechanisms.