Functional Connectivity within Brain Networks of Long Term and Short term Meditators
International Journal of Innovative Technology and Exploring Engineering December 31, 2019 DOI: 10.35940/ijitee.b1120.1292s19 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractMeditation involves relaxation, concentration, and distinct brain states that differ from sleep or typical wakefulness. Using functional magnetic resonance imaging (fMRI), researchers compared functional connectivity—temporal correlations between active brain regions—in long-term meditation practitioners (LTP) and short-term meditation practitioners (STP). The analysis showed differences in connectivity patterns between the two groups, indicating that continuous meditation practice can produce long-term effects on brain connectivity.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Population | Long-term and short-term meditation practitioners |
| Intervention | meditation |
| Topics | Default mode network Meditation |
| Keywords | Resting State FMRI Term time Functional connectivity Cognitive psychology |
| Key finding | There is a difference in functional connectivity between long-term and short-term meditation practitioners, suggesting continuous practice can have long-term effects. |
Abstract
Meditation refers to a state of mind of relaxation and concentration, where generally the mind and body is at rest. The process of meditation reflects the state of the brain which is distinct from sleep or typical wakeful states of consciousness. Meditative practices usually involve regulation of emotions and monitoring of attention. Over the past decade there has been a tremendous increase in an interest to study the neural mechanisms involved in meditative practices. It could also be beneficial to explore if the effect of meditation is altered by the number of years of meditation practice. Functional Magnetic Resonance Imaging (fMRI) is a very useful imaging technique which can be used to perform this analysis due to its inherent benefits, mainly it being a non-invasive technique. Functional activation and connectivity analysis can be performed on the fMRI data to find the active regions and the connectivity in the brain regions. Functional connectivity is defined as a simple temporal correlation between anatomically separate, active neural regions. Functional connectivity gives the statistical dependencies between regional time series. It is a statistical concept and is quantified using metrics like Correlation. In this study, a comparison is made between functional connectivity in the brain regions of long term meditation practitioners (LTP) and short-term meditation practitioners (STP) to see the differences and similarities in the connectivity patterns. From the analysis, it is evident that in fact there is a difference in connectivity between long term and short term practitioners and hence continuous practice of meditation can have long term effects.