Author: Tang YY1, Tang Y1, Tang R2, Lewis-Peacock JA3
1 Department of Psychological Sciences, Texas Tech University Lubbock, TX, USA.
2 Department of Psychological and Brain Sciences, Washington University in St. Louis St. Louis, MO, USA.
3 Department of Psychology, University of Texas at Austin Austin, TX, USA.
Conference/Journal: Front Syst Neurosci.
Date published: 2017 Feb 28
Other: Volume ID: 11 , Pages: 6 , Special Notes: doi: 10.3389/fnsys.2017.00006. eCollection 2017. , Word Count: 238
Emerging evidences have shown that one form of mental training-mindfulness meditation, can improve attention, emotion regulation and cognitive performance through changing brain activity and structural connectivity. However, whether and how the short-term mindfulness meditation alters large-scale brain networks are not well understood. Here, we applied a novel data-driven technique, the multivariate pattern analysis (MVPA) to resting-state fMRI (rsfMRI) data to identify changes in brain activity patterns and assess the neural mechanisms induced by a brief mindfulness training-integrative body-mind training (IBMT), which was previously reported in our series of randomized studies. Whole brain rsfMRI was performed on an undergraduate group who received 2 weeks of IBMT with 30 min per session (5 h training in total). Classifiers were trained on measures of functional connectivity in this fMRI data, and they were able to reliably differentiate (with 72% accuracy) patterns of connectivity from before vs. after the IBMT training. After training, an increase in positive functional connections (60 connections) were detected, primarily involving bilateral superior/middle occipital gyrus, bilateral frontale operculum, bilateral superior temporal gyrus, right superior temporal pole, bilateral insula, caudate and cerebellum. These results suggest that brief mental training alters the functional connectivity of large-scale brain networks at rest that may involve a portion of the neural circuitry supporting attention, cognitive and affective processing, awareness and sensory integration and reward processing.
KEYWORDS: functional connectivity; integrative body–mind training (IBMT); large-scale brain networks; multivariate pattern analysis (MVPA); resting-state fMRI
PMID: 28293180 PMCID: PMC5328965 DOI: 10.3389/fnsys.2017.00006