Chang-Le Chen1, Yao-Chia Shih2, Tzung-Kuen Wen3, Shih-Chin Fang4, Da-Lun Tang5, Si-Chen Lee6, and Wen-Yih Isaac Tseng1,7,8
1Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan, 2Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, 3Department of Buddhist Studies, Dharma Drum Institute of Liberal Arts, New Taipei City, Taiwan, 4Department of Neurology, Cardinal Tien Hospital Yonghe Branch, New Taipei City, Taiwan, 5Department of Mass Communication, Tamkang University, Taipei, Taiwan, 6Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, 7Institute of Medical Device and Image, National Taiwan University College of Medicine, Taipei, Taiwan, 8Molecular Imaging Center, National Taiwan University, Taipei, Taiwan
Synopsis
Mindfulness-based stress
reduction (MBSR) is an 8-week mindfulness meditation training which exerts
beneficial effects on physical and mental health. Many researches showed that
the changes in brain structure were related to mindfulness meditation. However,
few studies have investigated the relationships between short-term mindfulness
meditation and altered white matter tracts. Therefore, a longitudinal study was
designed in this study to identify the effects of 8-week MBSR program on white
matter tract integrity. We found that there was significant difference in three
white matter tracts, right auditory radiation, anterior commissure and
posterior commissure, in the novice practitioners.Introduction
Mindfulness-based stress
reduction (MBSR), described as non-judgemental insight to present-moment
experiences, is a form of systematic mindfulness meditation training that
offers a manualized 8-week program which aims to improve an individual’s
psychological capacities, such as attention control, emotion regulation and
altered self-awareness
1. Over the past decade, a number of studies
have investigated the relationships between mindfulness meditation and brain
structure and function. Many researches showed that the changes in brain
structure were associated with the practice training and/or the state of
mindfulness meditation
2. However, most of researches employed
cross-sectional studies to investigate the practitioners of long-term
meditation experience compared with non-meditators since the effects on brain
structures would be readily detectable
1. Therefore, a longitudinal
study was conducted in this study to probe the effects of the short-term MBSR
program on the brain structures. Specifically, an automatic tract-specific
analysis was employed over the whole brain to survey subtle changes in white
matter tracts.
Method
Study Design: An 8-week MBSR program
including meditation course and physical exercise was administered to the
novice practitioners who hadn’t received the mindfulness training before.
Participants took the MRI examination and psychological questionnaires before
and after the MBSR program.
Subjects:
Fifteen healthy adult novices (Age = 44 ± 11 yrs) received the training in the 8-week MBSR program. Besides, 24
healthy adults who didn’t accept the training of MBSR program were recruited as
a control group.
MRI examination: T1-weighted imaging and diffusion spectrum
imaging (DSI) were obtained on a 3T MRI system (TIM Trio, Siemen). T1-weighted
imaging utilized a MPRAGE pulse sequence (TR = 2000 ms, TE = 3 ms, flip angle = 9
o,
FOV = 256×256 mm^2, resolution = 1×1×1 mm^3). DSI utilized a
pulsed gradient twice-refocused spin-echo diffusion echo planar imaging
sequence using a summation of 102 diffusion encoding gradients with the maximum
diffusion sensitivity b
max of 4000 s/mm^2. (TR = 9600 ms,
TE = 130ms, FOV = 200×200 mm^2, matrix size = 80×80, slice thickness = 2.5
mm).
System validation: Since the brain structure changes induced by
mindfulness meditation may be so subtle that it could be overwhelmed by the
errors of the measurement system, we applied Gage R&R analysis to assess
the repeatability of our system
3.
Data analysis: We used whole brain
tract-based automatic analysis (TBAA) to obtain a 2D connectogram for each DSI
dataset
4. The connectogram provides generalized fractional
anisotropy (GFA) profiles of 76 white matter tract bundles. Pair t test and
effect size were calculated to compare the difference in mean GFA of each tract
bundle between the pre- and post- training connectograms. Bonferroni correction
was used to address multiple comparisons.
Result
Gage R&R analysis showed that
the repeatability ratio was below 5.5%, indicating that the measurement was
stable and consistent over data that were measured repeatedly. There was
significant difference in three white matter tracts, right auditory radiation
(p value = 2.9 × 10^-4), anterior commissure (p value = 2.38 × 10^-7) and posterior
commissure (p value = 1.56 × 10^-4), in the novice practitioners, whereas no
significant difference was found in the control group (Table 1). These tracts
showed increased mean GFA values after the MBSR program (Figure 1) with high
magnitude of effect sizes (Figure 2).
Discussion
We have identified 3 tract
bundles that are significantly modulated by short-term MBSR training. The
altered white matter tracts might be related to auditory perception (right
auditory radiation), emotional communication (anterior commissure) and
visual-linked influence (posterior commissure).
Conclusion
Further works will be
conducted to investigate the functional and behavioral significance of these
white matter changes.
Acknowledgements
No acknowledgement found.References
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meditation. Nat Rev Neurosci. 2015;16(4):213-25.
2. Fox, K. C. et al. Is meditation
associated with altered brain structure? A systematic review and meta-analysis
of morphometric neuroimaging in meditation practitioners. Neurosci Biobehav Rev. 2014;43:48-73.
3. Erdmann, T. P. et al. Quality quandaries: a gage R&R study in a hospital. Quality Engineering, 2009;22(1), 46-53.
4. Chen, Y. J. et al. Automatic whole brain
tract-based analysis using predefined tracts in a diffusion spectrum imaging
template and an accurate registration strategy. Hum Brain Mapp. 2015;36(9):3441-58.