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Investigating the phenomenological matrix of mindfulness-related practices from a neurocognitive perspective.
Open accessAbstract
There has been a great increase in literature concerned with the effects of a variety of mental training regimes that generally fall within what might be called contemplative practices, and a majority of these studies have focused on mindfulness. Mindfulness meditation practices can be conceptualized as a set of attention-based, regulatory, and self-inquiry training regimes cultivated for various ends, including wellbeing and psychological health. This article examines the construct of mindfulness in psychological research and reviews recent, nonclinical work in this area. Instead of proposing a single definition of mindfulness, we interpret it as a continuum of practices involving states and processes that can be mapped into a multidimensional phenomenological matrix which itself can be expressed in a neurocognitive framework. This phenomenological matrix of mindfulness is presented as a heuristic to guide formulation of next-generation research hypotheses from both cognitive/behavioral and neuroscientific perspectives. In relation to this framework, we review selected findings on mindfulness cultivated through practices in traditional and research settings, and we conclude by identifying significant gaps in the literature and outline new directions for research.
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“the basic components of attention monitoring and acceptance are common factors across these models.”
From Mechanisms of mindfulness training: Monitor and Acceptance Theory (MAT (2017) · cites this paper as Lutz, Jha, Dunne, & Saron, 2015
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“Nevertheless, the construct of dispositional mindfulness entails several problematic aspects, starting from the assumption that self-report mindfulness scales (basically the self-perception of a person) actually tap into the proper practices of mindfulness (Grossman, 2011).”
From Mindfulness and Emotion Regulation: Insights from Neurobiological, Psychological, and Clinical Studies (2017) · cites this paper as Lutz et al., 2015
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Metadata
- Authors
- Lutz, A., Jha, A. P., Dunne, J. D., & Saron, C. D.
- Affiliations
- University of Miami (US)
- Emory University (US)
- University of California System (US)
- Venue
- American Psychologist
- Published
- 2015-10
- Volume
- 70
- Issue
- 7
- Pages
- 632-658
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- PMC
- PMC4608430
- OpenAlex
- W2410872259
- Cited by
- 697
- References
- 173
- Citations by year
- 2026: 49 · 2025: 66 · 2024: 76 · 2023: 91 · 2022: 69 · 2021: 69 · 2020: 78 · 2019: 65 · 2018: 61 · 2017: 38 · 2016: 25 · 2015: 7
- FWCI
- 54.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- American Psychologist (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Complementary and Alternative Medicine (P01AT004952)
- Sponsor name not included (FP7-PEOPLE-2009-RG)
- European Research Council (617739)
- Adam J. Weissman Foundation
- Department of Army (W81XWH-12–2-0051 and W81XWH-11–2-0124)
- Fetzer Institute (2191)
- John Templeton Foundation (39970)
- Hershey Family Foundation
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Keywords
- mindfulness, mindfulness meditation, contemplative practice, attentional control, self-inquiry, well-being, mental health, mental training, research hypotheses
- MeSH terms
- Attention, Cognition, Humans, Mental Health, Research, Stress, Psychological, Meditation, Mindfulness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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