Thomas John, Jamieson Graham, Cohen Marc
School of Health Sciences, RMIT University Bundoora, VIC, Australia.
School of Behavioural, Cognitive and Social Sciences, University of New England Armidale, NSW, Australia.
Front Hum Neurosci. 2014 Jun 10;8:197. doi: 10.3389/fnhum.2014.00197. eCollection 2014.
Meditation proficiency is related to trait-like (learned) effects on brain function, developed over time. Previous studies show increases in EEG power in lower frequency bands (theta, alpha) in experienced meditators in both meditation states and baseline conditions. Higher gamma band power has been found in advanced Buddhist meditators, yet it is not known if this occurs in Yoga meditation practices. This study used eLORETA to compare differences in cortical source activity underlying scalp EEG from intermediate (mean experience 4 years) and advanced (mean experience 30 years) Australian meditators from the Satyananda Yoga tradition during a body-steadiness meditation, mantra meditation, and non-meditation mental calculation condition. Intermediate Yoga meditators showed greater source activity in low frequencies (particularly theta and alpha1) during mental calculation, body-steadiness and mantra meditation. A similar spatial pattern of significant differences was found in all conditions but the number of significant voxels was double during body-steadiness and mantra meditation than in the non-meditation (calculation) condition. These differences were greatest in right (R) superior frontal and R precentral gyri and extended back to include the R parietal and occipital lobes. Advanced Yoga meditators showed greater activity in high frequencies (beta and especially gamma) in all conditions but greatly expanded during meditation practice. Across all conditions (meditation and non-meditation) differences were greatest in the same regions: R insula, R inferior frontal gyrus and R anterior temporal lobe. Distinct R core networks were identified in alpha1 (8-10 Hz) and gamma (25-42 Hz) bands, respectively. The voxels recruited to these networks greatly expanded during meditation practice to include homologous regions of the left hemisphere. Functional interpretation parallels traditionally described stages of development in Yoga proficiency.
冥想熟练度与随着时间推移而形成的对大脑功能的特质性(习得性)影响有关。先前的研究表明,在冥想状态和基线条件下,有经验的冥想者低频波段(θ波、α波)的脑电图功率会增加。在资深的佛教冥想者中发现了较高的γ波段功率,但尚不清楚在瑜伽冥想练习中是否也是如此。本研究使用真实低分辨率电磁断层成像技术(eLORETA),比较了来自澳大利亚萨提亚南达瑜伽传统的中级(平均冥想经验4年)和高级(平均冥想经验30年)冥想者在身体稳定冥想、念咒冥想和非冥想心算状态下头皮脑电图背后的皮质源活动差异。中级瑜伽冥想者在进行心算、身体稳定和念咒冥想时,低频(特别是θ波和α1波)的源活动更强。在所有条件下都发现了类似的显著差异空间模式,但与非冥想(心算)状态相比,身体稳定和念咒冥想时显著体素数量增加了一倍。这些差异在右侧额上回和右侧中央前回最为明显,并向后延伸至右侧顶叶和枕叶。高级瑜伽冥想者在所有条件下高频(β波,尤其是γ波)的活动都更强,但在冥想练习期间大幅增强。在所有条件(冥想和非冥想)下,相同区域的差异最为显著:右侧岛叶、右侧额下回和右侧颞前叶。分别在α1(8 - 10赫兹)和γ(25 - 42赫兹)波段识别出了不同的右侧核心网络。在冥想练习期间,这些网络招募的体素大幅扩展,包括左半球的同源区域。功能解释与传统描述的瑜伽熟练度发展阶段相似。