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.
Frontiers in human neuroscience
January 1, 2013
Omar T Khachouf, Stefano Poletti, Giuseppe Pagnoni
34 citations
Neurophenomenology aims to bridge subjective experience and brain data by treating the body as central to consciousness. This paper argues that the Kantian concept of a priori structures, which make experience possible, can be grounded in biology through an extended theory of autopoiesis. Examples from simple models, bacteria, the immune system, mirror neurons, and the default mode network illustrate how knowledge is enacted. The free-energy principle is presented as a neural framework that fits these ideas. The authors maintain that first-person experience remains essential for understanding brain function because it shares the same transcendental structure, and they discuss how meditation can contribute to this research.
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.
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.
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.
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.