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Brain imaging analysis can identify participants under regular mental training.

João R. Sato, Elisa H. Kozasa, Tamara A Russell, João Radvany, Luiz E. A. M. Mello, Shirley S Lacerda, Edson Amaro

PLoS One July 3, 2012 DOI: 10.1371/journal.pone.0039832 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational classification study using multivariate pattern recognition on structural MRI data Peer reviewed
Sample size 39
Population 19 regular meditators and 20 non-meditators
Topics Meditation
Keywords Humans Magnetic resonance imaging Brain mapping Adult Middle aged Female Neuroimaging Support vector machine
Key findings Multivariate pattern recognition applied to automated morphometric analysis of structural MRI classified whether a single participant was a regular meditator with 94.87% accuracy (p<0.001). The authors argue this demonstrates that individual mental training status can be inferred from brain structure and may signal a new field of brain imaging applications.

Abstract

Multivariate pattern recognition approaches have become a prominent tool in neuroimaging data analysis. These methods enable the classification of groups of participants (e.g. controls and patients) on the basis of subtly different patterns across the whole brain. This study demonstrates that these methods can be used, in combination with automated morphometric analysis of structural MRI, to determine with great accuracy whether a single subject has been engaged in regular mental training or not. The proposed approach allowed us to identify with 94.87% accuracy (p<0.001) if a given participant is a regular meditator (from a sample of 19 regular meditators and 20 non-meditators). Neuroimaging has been a relevant tool for diagnosing neurological and psychiatric impairments. This study may suggest a novel step forward: the emergence of a new field in brain imaging applications, in which participants could be identified based on their mental experience.

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

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