Guidotti Roberto, Del Gratta Cosimo, Perrucci Mauro Gianni, Romani Gian Luca, Raffone Antonino
Department of Neuroscience, Imaging and Clinical Sciences, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy.
Brain Sci. 2021 Aug 18;11(8):1086. doi: 10.3390/brainsci11081086.
(1) The effects of intensive mental training based on meditation on the functional and structural organization of the human brain have been addressed by several neuroscientific studies. However, how large-scale connectivity patterns are affected by long-term practice of the main forms of meditation, Focused Attention (FA) and Open Monitoring (OM), as well as by aging, has not yet been elucidated. (2) Using functional Magnetic Resonance Imaging (fMRI) and multivariate pattern analysis, we investigated the impact of meditation expertise and age on functional connectivity patterns in large-scale brain networks during different meditation styles in long-term meditators. (3) The results show that fMRI connectivity patterns in multiple key brain networks can differentially predict the meditation expertise and age of long-term meditators. Expertise-predictive patterns are differently affected by FA and OM, while age-predictive patterns are not influenced by the meditation form. The FA meditation connectivity pattern modulated by expertise included nodes and connections implicated in focusing, sustaining and monitoring attention, while OM patterns included nodes associated with cognitive control and emotion regulation. (4) The study highlights a long-term effect of meditation practice on multivariate patterns of functional brain connectivity and suggests that meditation expertise is associated with specific neuroplastic changes in connectivity patterns within and between multiple brain networks.
(1) 多项神经科学研究探讨了基于冥想的强化心理训练对人类大脑功能和结构组织的影响。然而,专注注意力(FA)和开放监测(OM)这两种主要冥想形式的长期练习以及衰老如何影响大规模连接模式,尚未得到阐明。(2) 我们使用功能磁共振成像(fMRI)和多变量模式分析,研究了冥想专业水平和年龄对长期冥想者在不同冥想方式下大规模脑网络功能连接模式的影响。(3) 结果表明,多个关键脑网络中的fMRI连接模式可以不同程度地预测长期冥想者的冥想专业水平和年龄。专业水平预测模式受FA和OM的影响不同,而年龄预测模式不受冥想形式的影响。由专业水平调节的FA冥想连接模式包括与集中、维持和监测注意力有关的节点和连接,而OM模式包括与认知控制和情绪调节相关的节点。(4) 该研究突出了冥想练习对功能性脑连接多变量模式的长期影响,并表明冥想专业水平与多个脑网络内部和之间连接模式的特定神经可塑性变化有关。