Yao-Chia Shih1,2, Chang-Le Chen2,3, Shih-Chin Fang4, Tzung-Kuen Wen5, Da-Lun Tang6, Si-Chen Lee7, and Wen-Yih Isaac Tseng2,3,8
1Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, 2Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, 3Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan, 4Department of Neurology, Cardinal Tien Hospital Yonghe Branch, New Taipei City, Taiwan, 5Department of Buddhist Studies, Dharma Drum Institute of Liberal Arts, New Taipei City, Taiwan, 6Department of Mass Communication, Tamkang University, Taipei, Taiwan, 7Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, 8Molecular Imaging Center, National Taiwan University, Taipei, Taiwan
Synopsis
Mindfulness-based
stress reduction (MBSR) has been known to improve emotion regulation and cure
mood disorders. The present longitudinal study aimed to clarify the effects of
MBSR training and practice on the neural substrates of emotion regulation. Resting-state
functional MRI (rsfMRI) exams were performed at three time points to
investigate changes of functional connectivity (FC) within the subgenual anterior
cingulate cortex (sgACC) network. MBSR training and practice
strengthened the FC of sgACC with the inferior frontal gyrus and with the insula,
and reduced the level of anxiety and depression. The findings reveal the neural
substrates of emotion regulation process following MBSR.
PURPOSE:
Mindfulness-based stress reduction (MBSR) is modified
from the Buddhist traditions and has been known to improve an individual’s emotion regulation and cure
mood disorders1. However, the effect of MBSR training and
practice on the neural substrate of emotion regulation is still unclear. To
clarify this effect, we employed the resting-state functional MRI (rsfMRI) to
investigate changes of functional connectivity (FC) within the
subgenual anterior cingulate cortex (sgACC) network, which plays an important
role in regulating emotion2. In the present study, all subjects received
MRI exams at three different time points: one before the 8-week MBSR training, one
after the training, and one at two months after the 2nd exam. During
the period between the 2nd and 3rd exams, all subjects stopped
any MBSR training and practice. Each MRI exam consisted of T1W imaging and two
runs of 6-minute rsfMRI. In the period between the two runs of rsfMRI, subjects
were asked to perform MBSR practice (self-awareness of breath) for 20 minutes. We
hypothesized that: 1) the strength of FC within the sgACC network would change
after the 20-minute MBSR practice within each MRI exam; 2) the degree of FC
change within the sgACC network due to the 20-minute MBSR practice would be
significantly different among three MRI exams.Methods:
Study design: Eleven subjects (7 females and 4 males, age = 41.09±8.19
years), who were beginners of MBSR practice, participated the study and received
an 8-week MBSR training. The detailed study design has been mentioned in the
above section and shown in Figure 1. All subjects received the Beck Anxiety
Inventory (BAI) and Beck Depression Inventory (BDI) tests for measuring the
severity of anxiety and depression before each MRI exam. MRI data
acquisition: MRI scanning was performed on a 3T MRI system (TIM Trio,
Siemens) with a 32 channel phased-array head coil. T1W imaging was performed
using a 3D-MPRAGE sequence: TR/TE = 2000 ms/3 ms, flip angle = 9 degree, FOV =
256×192×208 mm^3, matrix size = 256×192×208, and spatial resolution = 1 mm^3. Six-minute
rsfMRI was performed using a 2D gradient EPI sequence: TR/TE = 2000 ms/24 ms,
flip angle = 90 degree, FOV = 256×256×3 mm^3, matrix size = 64×64×34, and 180
volumes per run. Data processing: rsfMRI data was analyzed using data
processing assistant for resting state fMRI (DPARSF) based on SPM8. Figure
2 shows the detailed procedure of data preprocessing and analysis. The
seed-based analysis was performed to obtain whole-brain FC maps by placing a
spherical seed in the bilateral sgACC3 (the center coordinate: [0,
25, -10], radius = 8 mm). Z-maps of
sgACC FC were determined by computing Pearson correlation between the time
course at each voxel of the brain and the averaged time course of the predefined
sgACC seed, followed by the Fisher Z-transform.
The change of sgACC FC Z-maps due to
MBSR practice was computed for each MRI exam: ∆Z-map = Z-mappost-practice
− Z-mappre-practice. We performed a non-parametric
permutation ANOVA4 to detect brain regions with significant
difference in ∆Z-maps among the three exams. Averaged ∆Z-values were then extracted
from these brain regions to perform post-hoc tests using Mann-Whitney U-test.Results:
The right inferior frontal gyrus (IFG) and left insula showed
significant difference in ∆Z-maps among three exams (non-parametric p
< 0.05, uncorrected; Fig. 3 & 4). Compared with the 1st exam,
the 2nd and 3rd exams showed significantly increased averaged
∆Z-values in both the right IFG and left insula. Moreover, compared with
the 1st and 2nd exams, the results of both BAI and BDI
showed significantly decreased scores in the 3rd exam (Fig. 5).Discussion:
We found enhancement of both the right sgACC-IFG FC and left sgACC-insula
FC in the 2nd exam, and such enhancement still persisted in the 3rd
exam. We also found persistent decrease in BAI and BDI scores following MBSR
training. These findings imply a lasting effect of MBSR on brain connectivity
and behaviors even after cessation of MBSR training. IFG is a component of the
central executive network and relates to suppression of negative emotion5.
Previous study suggests greater right sgACC-IFG FC might be better regulating
negative emotional thoughts in depressed adolescents3. Both sgACC
and insula are main components of the salience network and relate to
integration of an individual’s emotional state and external stimuli6.Conclusion:
MBSR training and practice strengthen the sgACC-IFG FC
and sgACC-insula FC, and reduce the level of anxiety and depression. The
findings reveal the neural substrates of emotion regulation process following MBSR.Acknowledgements
No acknowledgement found.References
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