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Antoine Lutz

Monash Centre for Consciousness and Contemplative Studies, Monash University, 3168 Clayton, Victoria, Australia; Eduwell team, Lyon Neuroscience Research Center, INSERM Unité 1028 and CNRS Unité Mixte de Recherche (UMR) 5292, Lyon, France.

22 papers in the library · 1,677 citations · publishing 2003-2026

Papers

Regulation of the Neural Circuitry of Emotion by Compassion Meditation: Effects of Meditative Expertise

PLoS ONE March 25, 2008 Antoine Lutz, Julie Brefczynski-Lewis, Tom Johnstone et al. 942 citations

During loving-kindness-compassion meditation, expert practitioners show greater brain activation in the insula and limbic regions when hearing emotional sounds, especially negative ones, compared to novices. This enhanced response correlates with self-reported meditation intensity. Experts also exhibit increased activity in the amygdala, temporo-parietal junction, and posterior superior temporal sulcus, suggesting improved detection of emotional vocalizations and mental state reasoning. The findings indicate that training in cultivating positive emotion alters neural circuits associated with empathy and theory of mind.

From autopoiesis to neurophenomenology: Francisco Varela's exploration of the biophysics of being.

Biological research January 1, 2003 David Rudrauf, Antoine Lutz, Diego Cosmelli et al. 194 citations

Francisco Varela's work on subjectivity and consciousness is reviewed, presenting a view of subjectivity as deeply intertwined with biological and physical roots. His theory of concrete, embodied dynamics, grounded in autonomous systems, posits that biological autonomy defines life and identity as emergent, circular self-producing processes. Embodiment explains how a cognitive self arises from an organism's internal regulation and sensorimotor coupling, with global subjective properties emerging from component interactions and constraining local processes through recursive morphodynamics. Neurophenomenology uses first-person methods to examine experience, creating mutual constraints between biophysical data and subjective accounts, aiming to ground disciplined insight in biophysical emergence. Varela's contribution is framed as a "biophysics of being."

Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference.

Neuroscience of consciousness January 1, 2021 Lars Sandved-Smith, Casper Hesp, Jérémie Mattout et al. 116 citations

Meta-awareness, the ability to notice the current content of consciousness, is crucial for controlling cognitive states like directing attention. This paper models meta-awareness and attentional control using hierarchical active inference, treating mental actions as policy choices over higher-level cognitive states. A further hierarchical level represents meta-awareness states that modulate the expected confidence in the mapping between observations and hidden cognitive states. Simulations of mind-wandering during a sustained selective attention task illustrate how this inferential architecture enables accessing and controlling cognitive states, offering a computational foundation for a phenomenology of mental action and self-monitoring.

The balanced mind: the variability of task-unrelated thoughts predicts error monitoring.

Frontiers in human neuroscience January 1, 2013 Micah Allen, Jonathan Smallwood, Joanna Christensen et al. 100 citations

Mind-wandering, or task-unrelated thoughts (TUTs), is common and often impairs performance on demanding tasks, but new findings show it can also enhance metacognitive abilities. Using the Error Awareness Task (EAT), researchers found that individual differences in average TUTs strongly predicted stop accuracy, while variability in TUTs specifically predicted error awareness. Brain imaging revealed that both response inhibition and TUT ratings activated the medial prefrontal cortex (mPFC) of the default mode network (DMN), but in distinct dorsal areas, suggesting functional segregation. Co-activation of salience and default mode regions during error awareness linked monitoring to TUTs. The results suggest that fluctuations between internal and external thought, rather than constant focus, characterize individuals with greater metacognitive monitoring, and balancing these modes may optimize task performance.

No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control.

PloS one January 1, 2014 Donal G Maccoon, Katherine A Maclean, Richard J Davidson et al. 97 citations

Eight weeks of mindfulness-based stress reduction (MBSR) training did not improve sustained attention more than an active control program (Health Enhancement Program, HEP) in a randomized trial with 63 community participants. The study used a visual continuous performance task to measure attention. Although the main hypotheses were not confirmed, some evidence suggested improved visual discrimination similar to effects seen in other research. Attentional sensitivity was not affected by MBSR, and it remains unclear whether mindfulness might positively affect vigilance. The results highlight procedural modifications needed for future research on sustained attention in similar samples.

From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology.

Review of philosophy and psychology January 1, 2022 Maxwell J D Ramstead, Anil K Seth, Casper Hesp et al. 75 citations

A version of neurophenomenology is presented that uses generative modelling techniques from computational neuroscience and biology to formally model descriptions of lived experience from the phenomenological tradition (e.g., Husserl, Merleau-Ponty). The approach, called computational phenomenology, is situated within the broader project of naturalizing phenomenology. Philosophical objections to that project are evaluated, and the generative modelling framework is reviewed. The approach differs from previous uses of generative modelling for consciousness by constructing computational models of inferential or interpretive processes that best explain particular kinds of lived experience.

Training novice practitioners to reliably report their meditation experience using shared phenomenological dimensions.

Consciousness and cognition February 1, 2019 Oussama Abdoun, Jelle Zorn, Stefano Poletti et al. 44 citations

A meditation training protocol helped novices accurately describe their mental states during two types of meditation: focused attention and open monitoring. After several weeks of daily practice, participants' self-reported ratings of their experience (i) differed between the two meditation states, (ii) reflected how much they had practiced and how tired they felt, and (iii) matched changes in their reaction times during a task. These patterns were better explained by features of daily practice than by a tendency to give socially desirable answers. The results suggest that novice practitioners can reliably report their inner experience, supporting further study of this training approach.

An Overview of Neurophenomenological Approaches to Meditation and Their Relevance to Clinical Research.

Biological psychiatry. Cognitive neuroscience and neuroimaging April 1, 2025 Antoine Lutz, Oussama Abdoun, Yair Dor-Ziderman et al. 18 citations

The neurophenomenology research program, pioneered by Varela, rigorously examines subjective experience using first-person methodologies inspired by phenomenology and contemplative practices. This review explores recent advancements, particularly their application to meditation practices and potential clinical translations. It examines innovative multidimensional phenomenological assessment tools designed to capture subtle, dynamic shifts in experiential content and structures of consciousness during meditation, shedding light on mechanisms and trajectories of meditation practice.

Where is my mind? A neurocognitive investigation of mind blanking.

Trends in cognitive sciences March 12, 2025 Thomas Andrillon, Antoine Lutz, Jennifer Windt et al. 14 citations

Moments during wakefulness that seem empty of any reportable thought, called mind blanking (MB), are not simply gaps in experience but distinct mental states with their own characteristics. This review maps MB by examining how people report it, its brain activity, and its links to related phenomena such as meditation and sleep. The authors propose that ongoing experience varies in richness, and contentless events represent a diverse category of mental states. They argue that recognizing MB as a reportable mental category is essential for a full understanding of how the mind works during wakefulness.

Effects of a mindfulness-based intervention and a health self-management programme on psychological well-being in older adults with subjective cognitive decline: Secondary analyses from the SCD-Well randomised clinical trial.

PloS one January 1, 2023 Marco Schlosser, Harriet Demnitz-King, Thorsten Barnhofer et al. 13 citations

Older adults with subjective cognitive decline (SCD) recruited from memory clinics are at higher risk for dementia and often have reduced well-being due to memory concerns and fear of dementia. A randomized trial compared an 8-week caring mindfulness-based approach for seniors (CMBAS) with a health self-management program (HSMP) in 147 participants. The mindfulness program showed a small advantage over HSMP in improving a sense of connection immediately after the intervention. However, overall psychological well-being, quality of life, and other composite measures did not increase in either group. The findings suggest that these brief non-pharmacological interventions had only limited effects on well-being in SCD.

Deep computational neurophenomenology: a methodological framework for investigating the how of experience.

Neuroscience of consciousness January 1, 2025 Lars Sandved-Smith, Juan Diego Bogotá, Jakob Hohwy et al. 10 citations

A computational formalism called deep parametric active inference, rooted in Bayesian mechanics, can bridge first-person phenomenological accounts of experience and third-person physiological measurements, fulfilling the neurophenomenology programme's goal of mutual constraints. The dual information geometry of Bayesian mechanics allows generative passage between lived experience and its neural instantiation under certain conditions. This paper argues that incorporating trained reflective awareness into empirical protocols yields incremental explanatory gains, shifting focus from the contents of experience to the how of experience—the activities of consciousness that constitute meaningful appearance. The resulting deep computational neurophenomenology gains explanatory power from disciplined circulation between perspectives, enabled by generative models that form beliefs about their own modelling parameters.

Training the embodied self in its impermanence: meditators evidence neurophysiological markers of death acceptance.

Neuroscience of consciousness January 1, 2025 Yair Dor-Ziderman, Yoav Schweitzer, Ohad Nave et al. 10 citations

Meditators' brains show acceptance rather than denial when processing death-related stimuli linked to the self, as measured by a magnetoencephalogram visual mismatch-response (vMMR) paradigm. This neural shift corresponds with increased self-reported well-being and is associated with positively valenced experiences of self-dissolution during meditation. The findings suggest that the brain's defensive response to mortality is not fixed but can be reduced through insight meditation grounded in mindful awareness, which trains acceptance of impermanence. The results also indicate that addressing mortality concerns is important when interventions may disrupt self-consciousness.

No Sustained Attention Differences in a Longitudinal Randomized Trial Comparing Mindfulness Based Stress Reduction versus Active Control

Donal G. Maccoon, Katherine A. Maclean, Richard Davidson et al. 9 citations

Eight weeks of mindfulness-based stress reduction (MBSR) training did not improve sustained attention or visual discrimination more than an active control program (Health Enhancement Program) in a randomized trial with 63 community adults. The study had sufficient statistical power to show that the two groups did not differ in their improvement over time on a continuous performance task. One prediction about attentional fatigue was statistically significant but uninterpretable. Some evidence for improved visual discrimination partially replicated earlier findings. Attentional sensitivity appears unaffected by MBSR, but whether mindfulness might benefit vigilance remains unclear.

Deep computational neurophenomenology: A methodological framework for investigating the how of experience

Lars Sandved-Smith, Juan Diego Bogotá, Jakob Hohwy et al. 7 citations preprint

This paper extends the neurophenomenology program by using Bayesian mechanics, specifically deep parametric active inference, to show how first-person accounts of experience and third-person physiological data can mutually constrain each other. The dual information geometry of Bayesian mechanics establishes generative passages between lived experience and its physiological instantiation under certain conditions. The authors argue that shifting focus from the contents of experience to the activities of consciousness—the 'how' of experience—yields incremental epistemic gains. The resulting framework, deep computational neurophenomenology, gains explanatory power from disciplined circulation between perspectives, enabled by generative models that form beliefs about their own modeling parameters. Trained reflective awareness is essential for this approach.

ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices.

Biological psychiatry. Cognitive neuroscience and neuroimaging April 1, 2025 Saampras Ganesan, Fernando A Barrios, Ishaan Batta et al. 6 citations

Meditation practices, which have shown therapeutic benefits for conditions like depression, pain, addiction, and anxiety, have been studied with neuroimaging over the past decade. However, existing neuroscientific models are based on small, heterogeneous datasets, limiting generalizability and replicability. The ENIGMA-Meditation consortium is the first worldwide collaborative effort to conduct systematic meta- and mega-analyses of globally distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and address multidomain heterogeneity in meditation practice types, experience, and experimental design. The consortium will generate rigorous neuroscientific insights into the mechanisms underlying meditation's therapeutic effects on psychological and cognitive attributes.

An 18-month meditation training selectively improves psychological well-being in older adults: A secondary analysis of a randomised controlled trial.

PloS one January 1, 2023 Marco Schlosser, Olga M Klimecki, Fabienne Collette et al. 6 citations

An 18-month meditation training program for healthy older adults aged 65 to 84 improved a composite measure of well-being encompassing awareness, connection, and insight, compared to an active control of English language training. The meditation group also showed significant increases in psychological quality of life, awareness, insight, and the global score from the start to the end of the study. However, meditation did not outperform the active control on the Psychological Well-being Scale total score, and improvements in psychological quality of life were no longer significant after adjusting for multiple comparisons. The trial, involving 137 participants, represents the longest randomized meditation training study to date.

Shedding Light on Changes in Subjective Experience During an Intensive Contemplative Retreat: The Lyon Assessment of Meditation Phenomenology Questionnaire.

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.

Exploring the embodied mind: functional connectome fingerprinting of meditation expertise

bioRxiv Preprint Server December 6, 2023 Sébastien Czajko, Jelle Zorn, Loïc Daumail et al. 5 citations preprint

Short mindfulness-based interventions improve well-being, cognition, and clinical symptoms, but they are considered early steps on a longer transformative path that may produce lasting trait changes. Little is known about the brain correlates of these meditation traits.

Where is my Mind?: A Neurocognitive Investigation of Mind Blanking

October 17, 2024 Thomas Andrillon, Antoine Lutz, Jennifer Windt et al. 4 citations preprint

Mind blanking (MB) refers to moments during wakefulness when people report no specific thoughts. This review maps MB by examining its reportable expressions, brain signatures, and links to meditative practices and sleep (white dreams). The authors propose a mechanistic account linking MB to changes at physiological, neural, and cognitive levels. They argue that ongoing experience varies in richness and that seemingly contentless events are distinct mental states with their own diversity, challenging the view of the mind as primarily content-oriented.

ENIGMA-Meditation: Worldwide consortium for neuroscientific investigations of meditation practices

April 8, 2024 Saampras Ganesan, Aki Tsuchiyagaito, Greg J. Siegle et al. 2 citations preprint

Meditation practices, which have been adapted into manualized interventions for conditions like depression, pain, addiction, and anxiety, show therapeutic promise, but their neuroscientific basis remains unclear. Current neuroimaging studies rely on small, heterogeneous datasets that vary in practice types, participant experience, clinical targets, and imaging methods, limiting generalizability and replicability. To address this, the ENIGMA-Meditation consortium was formed as a global collaboration to conduct systematic meta- and mega-analyses of distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and rigorously characterize the neural mechanisms underlying meditation's effects on psychological and cognitive attributes, advancing the field of contemplative neuroscience.

Nondual mindfulness meditation alters self representation and brain connectome in expert meditators

bioRxiv (Cold Spring Harbor Laboratory) July 3, 2026 Sébastien Czajko, Jelle Zorn, Oussama Abdoun et al.

Nondual meditation, specifically Open Presence (OP) practice, is associated with reduced bodily self susceptibility and increased large-scale integration of functional brain networks. Expert meditators with over 10,000 hours of practice showed lower global network eccentricity during OP compared to novices, particularly in dorsal attention, ventral attention, and frontoparietal networks, indicating greater integration. These neural patterns correlated positively with measures of bodily self illusion and negatively with cognitive defusion, a construct reflecting reduced self-grasping toward thoughts. The findings suggest that nondual awareness involves alterations in self-representation and large-scale functional brain integration.

Shedding light on changes in subjective experience during an intensive contemplative retreat: the Lyon Assessment of Meditation Phenomenology (LAMP) questionnaire

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.