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Evaluating Multivariate MRI Maps of Body Awareness — EMBODY  

Attention Clinical Trial

Official title:
Evaluating Multivariate MRI Maps of Body Awareness: A Pilot Functional Magnetic Resonance Imaging (fMRI) Study of Breath Meditation

Clinical Trial Summary

Meditation skills, or paying attention to internal mental states, are thought to improve people's health. This study is developing a new brain measure of meditation skills, called the EMBODY Task, using functional magnetic resonance imaging (fMRI). The investigators are testing whether pattern recognition methods can be applied to fMRI data to identify mental states during meditation, including attention to the body and to thoughts. This task is being developed in meditation practitioners and non-meditators. The goal is to understand what people are paying attention to during meditation using brain data. The investigators hypothesize that pattern recognition technology will be able to identify different mental states that occur during meditation.

Clinical Trial Description

The investigators are developing a new functional magnetic resonance imaging (fMRI) task (the EMBODY Task) to measure mental states during meditation using pattern recognition or machine learning technology. This task is being piloted and validated in 20 meditators and 20 control participants, in two waves of pilot testing. Meditators will have practiced meditation for at least the 5 years, at least 90 minutes weekly. Control participants will have little to no meditation experience and will be age- and gender-matched to each meditator. All participants will be MRI-compatible, healthy with no health conditions that affect breathing, have no current psychiatric disorder, and not be taking psychotropic medications. In the EMBODY Task, participants will be instructed to pay attention to areas of the body, their thoughts, sounds in the scanner, and to stop paying attention, in short intervals (16-45s). They will also meditate on their breath for 10 minutes. The investigators will determine whether pattern recognition technology can distinguish 5 mental states, and whether these brain patterns can be used to identify mental states during meditation. The investigators hypothesize that all 5 mental states will be distinguished by pattern recognition in the meditators, and potentially in the controls. Investigators also hypothesize that meditators should pay attention to their breath longer during meditation compared to controls. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03344081
Study type Observational
Source University of California, San Francisco
Contact
Status Completed
Phase
Start date June 1, 2016
Completion date July 11, 2019
View Details
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