Probing the posture with machine learning provides physiological evidence supporting the enhanced body awareness hypothesis in trait mindfulness
Charles Verdonk, Marion Trousselard, Takfarinas Medani, François Vialatte, Gérard Dreyfus
Frontiers in Physiology September 2, 2022 DOI: 10.3389/fphys.2022.915134 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Sample size | 156 |
| Population | Healthy participants |
| Topics | Meditation |
| Keywords | Body awareness Posture Machine learning Proprioception |
| Key findings | Machine learning models using postural signals recorded during eyes-closed quiet standing estimate mindfulness scores and classify mindful versus non-mindful participants much more successfully than models using eyes-open data. |
Abstract
Enhanced body awareness has been suggested as one of the cognitive mechanisms that characterize mindfulness. Yet neuroscience literature still lacks strong empirical evidence to support this claim. Body awareness contributes to postural control during quiet standing; in particular, it may be argued that body awareness is more strongly engaged when standing quietly with eyes closed, because only body cues are available, than with eyes open. Under these theoretical assumptions, we recorded the postural signals of 156 healthy participants during quiet standing in Eyes closed (EC) and Eyes open (EO) conditions. In addition, each participant completed the Freiburg Mindfulness Inventory, and his/her mindfulness score was computed. Following a well-established machine learning methodology, we designed two numerical models per condition: one regression model intended to estimate the mindfulness score of each participant from his/her postural signals, and one classifier intended to assign each participant to one of the classes “Mindful” or “Non-mindful.” We show that the two models designed from EC data are much more successful in their regression and classification tasks than the two models designed from EO data. We argue that these findings provide the first physiological evidence that contributes to support the enhanced body awareness hypothesis in mindfulness.
Comparable studies
Other observational and cohort studies on meditation, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Using Self-Report Assessment Methods to Explore Facets of Mindfulness Undergraduate students | 2006 | Observational cohort | |
| Effectiveness of a meditation-based stress reduction program in the treatment of anxiety disorders Patients with generalized anxiety disorder or panic disorder with or without agoraphobia | 1992 | Observational cohort | n = 22 |
| Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls | 2005 | Observational cohort | n = 20 |
| Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls | 2011 | Observational cohort | |
| Long-term meditators self-induce high-amplitude gamma synchrony during mental practice Long-term Buddhist practitioners and controls | 2004 | Observational cohort |
Citations in the library
Cites 10
- The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology 2003
- How Does Mindfulness Meditation Work? Proposing Mechanisms of Action From a Conceptual and Neural Perspective Perspectives on Psychological Science October 14, 2011
- Mind the Hype: A Critical Evaluation and Prescriptive Agenda for Research on Mindfulness and Meditation Perspectives on Psychological Science October 10, 2017
- Investigating the phenomenological matrix of mindfulness-related practices from a neurocognitive perspective. American Psychologist October 1, 2015
- Defining mindfulness by how poorly I think I pay attention during everyday awareness and other intractable problems for psychology's (re)invention of mindfulness: Comment on Brown et al. (2011). Psychological Assessment 2011
and 5 more in the library