Advancing Research on Meditation with Imaging, Data Coding
“In the neuroscience of mindfulness and meditation, one of the problems that we’ve had is not understanding the practices from the inside out,” said Dr. Catherine Kerr, assistant professor (research) of family medicine and director of translational neuroscience in Brown’s Contemplative Studies Initiative.
“What we’ve really needed are better mechanisms for generating testable hypotheses — clinically relevant and experience-relevant hypotheses.”
Now researchers are gaining the tools to trace experiences described by meditators to specific activity in the brain.
“We’re going to [discuss] how this is applicable as a general tool for the development of targeted mental health treatments,” said researcher Juan Santoyo.
“We can explore how certain experiences line up with certain patterns of brain activity. We know certain patterns of brain activity are associated with certain psychiatric disorders.”
For an upcoming conference, the team will frame these broad implications with what might seem like a small distinction: whether meditators focus on their sensations of breathing in their nose or in their belly. The two meditation techniques hail from different East Asian traditions.
Interestingly, carefully coded experience data gathered by the researchers showed that the two techniques produced significantly different mental states in student meditators.
“We found that when students focused on the breath in the belly their descriptions of experience focused on attention to specific somatic areas and body sensations,” said the researchers.
“When students described practice experiences related to a focus on the nose during meditation, they tended to describe a quality of mind, specifically how their attention ‘felt’ when they sensed it.”
The ability to distill a rigorous distinction between the experiences came not only from randomly assigning meditating students to two groups — one focused on the nose and one focused on the belly — but also by employing two independent coders to perform standardized analyses of the journal entries the students made immediately after meditating.
This kind of structured coding of self-reported personal experience is called “grounded theory methodology.” Santoyo’s application of it to meditation allows for the formation of hypotheses.
For example, Kerr said, “Based on the predominantly somatic descriptions of mindfulness experience offered by the belly-focused group, we would expect there to be more ongoing, resting-state functional connectivity in this group across different parts of a large brain region called the insula that encodes visceral, somatic sensations and also provides a readout of the emotional aspects of so-called ‘gut feelings’.”
Investigators say the next step is to correlate the coded experiences data with data from the brain itself.
A team of researchers led by Kathleen Garrison at Yale University, including Santoyo and Kerr, did just that in a paper in Frontiers in Human Neuroscience.
The team worked with deeply experienced meditators to correlate the mental states they described during mindfulness with simultaneous activity in the posterior cingulate cortex (PCC). They measured that with real-time functional magnetic resonance imaging.
They found that when meditators of several different traditions reported feelings of “effortless doing” and “undistracted awareness” during their meditation, their PCC showed little activity, but when they reported that they felt distracted and had to work at mindfulness, their PCC was significantly more active.
Given the chance to observe real-time feedback on their PCC activity, some meditators were even able to control the levels of activity there.
“You can observe both of these phenomena together and discover how they are co-determining one another,” Santoyo said.
“Within 10 one-minute sessions they were able to develop certain strategies to evoke a certain experience and use it to drive the signal.”
Source: Brown University
Nauert PhD, R. (2018). Advancing Research on Meditation with Imaging, Data Coding. Psych Central. Retrieved on September 28, 2020, from https://psychcentral.com/news/2014/04/04/advancing-research-on-meditation-with-imaging-data-coding/68051.html