Longitudinal cerebral blood flow (CBF) images were acquired in ten college students after 2-month meditation practice. The CBF difference before and after meditation practice and the association between CBF change and meditation practice time were analyzed on a voxel-by-voxel basis using SPM8. We found significant perfusion increase and decrease in the occipital and thalamus regions respectively. However, the CBF increase and decrease in the corresponding regions exhibited negative and positive association with practice time respectively. Regional analysis confirmed that the direction of CBF change may switch after some amount of meditation practice time, indicating a complex neural pathway of meditation.
All studies were conducted at the Cornell University MR Facility using a GE 3T MR 750. Volunteers received 3D T1-weighted Magnetization Prepared RApid Gradient Echo (MPRAGE) images for image registration and resting-state 3D pseudo-continuous arterial spin labeling (PCASL) sequence [11] for CBF and functional connectivity measurements before and after approximately 2-month meditation practice (practice duration: 66.50 ± 4.14days, practice time: 574.00 ± 312.30 minutes). Ten college students(19.20 ± 0.28 years old, age range: 19 to 20 years old, 4 females) were recruited from a university meditation class. Subjects were instructed to practice focused meditation for a minimum of 10 minutes each time and at least 5 times per week. They were allowed to choose their own focus: their breath, a point on the wall, a phrase, or anything else as they saw fit. Volunteers reported their total practice time at the end of the follow-up scan.
For each subject, the ASL difference signal time series was used to derive the absolute CBF map using the flow kinetic model [12], and then normalized by the whole-brain CBF to produce the normalized CBF map to adjust for the variation of the global CBF between baseline and follow-up. The CBF maps were normalized to a standard MNI template using the T1-weighted images as an intermediate, and smoothed with a 6×6×6 mm Gaussian kernel. The CBF maps before and after practicing meditation were compared using SPM8 via a paired t test with gender as a covariate. Age was not considered as a covariate because the maximum difference among ages of our volunteers is 1. The difference of the CBF maps before and after meditation practice was modeled using SPM8 via multiple linear regression with gender and practice time as independent variables. The statistical maps were thresholded using a voxel-level p value of 0.01. A cluster-level p value of 0.05 was used to correct for multiple comparisons. Regional analysis has been used to verify the correlation of the CBF changes with practice time. Regional CBF values at the clusters which showed significance in the voxel-based analysis were calculated both at the baseline and follow-up. The change of regional CBF values were modeled via a linear regression model with gender and practice time as variables.
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