Investigation of mindfulness meditation practitioners with voxel-based morphometry
نویسندگان
چکیده
منابع مشابه
Investigation of mindfulness meditation practitioners with voxel-based morphometry.
Mindfulness meditators practice the non-judgmental observation of the ongoing stream of internal experiences as they arise. Using voxel-based morphometry, this study investigated MRI brain images of 20 mindfulness (Vipassana) meditators (mean practice 8.6 years; 2 h daily) and compared the regional gray matter concentration to that of non-meditators matched for sex, age, education and handednes...
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BACKGROUND Mindfulness-based interventions (MBIs) have previously been associated with structural gray matter changes in normal healthy adults. However, it remains unknown if standardized MBIs can induce similar changes in older adults and those with health complaints as well. The objective of this investigation was to examine the effect of a standardized MBI on the gray matter tissue of older ...
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The human brain is in a state of constant change and adaptation. This may be driven either by normal developmental or aging processes or by the effects of learning, training, and new occurrences in daily life. In addition to these aforementioned changes, more systematic influences such as gender, disease, and genes affect the brain’s structure. Using magnetic resonance imaging, brain changes an...
متن کاملIncreased Grey Matter Associated with Long-Term Sahaja Yoga Meditation: A Voxel-Based Morphometry Study
OBJECTIVES To investigate regional differences in grey matter volume associated with the practice of Sahaja Yoga Meditation. DESIGN Twenty three experienced practitioners of Sahaja Yoga Meditation and twenty three non-meditators matched on age, gender and education level, were scanned using structural Magnetic Resonance Imaging and their grey matter volume were compared using Voxel-Based Morp...
متن کاملVoxel-based morphometry 1113 elements
An underlying assumption of the above parametric approach is that the process is a = Gaussian field, i.e., its statistical characteristics, including its roughness parameter (or its reciprocal, the smoothness ) ), are the same at each point in the image. The FWHM of the process should be constant in all directions and across all voxels in the image. While these assumptions are reasonable for fu...
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ژورنال
عنوان ژورنال: Social Cognitive and Affective Neuroscience
سال: 2007
ISSN: 1749-5024,1749-5016
DOI: 10.1093/scan/nsm038