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首页> 外文期刊>Neuroscience: An International Journal under the Editorial Direction of IBRO >Meditation Increases the Entropy of Brain Oscillatory Activity
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Meditation Increases the Entropy of Brain Oscillatory Activity

机译:冥想增加了脑振荡活动的熵

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We address the hypothesis that the entropy of neural dynamics indexes the intensity and quality of conscious content. Previous work established that serotonergic psychedelics can have a dysregulating effect on brain activity, leading to subjective effects that present a considerable overlap with the phenomenology of certain meditative states. Here we propose that the prolonged practice of meditation results in endogenous increased entropy of brain oscillatory activity. We estimated the entropy of band-specific oscillations during the meditative state of traditions classified as 'focused attention' (Himalayan Yoga), 'open monitoring' (Vipassana), and 'open awareness' (Isha Shoonya Yoga). Among all traditions, Vipassana resulted in the highest entropy increases, predominantly in the alpha and low/high gamma bands. In agreement with previous studies, all meditation traditions increased the global coherence in the gamma band, but also stabilized gamma-range dynamics by lowering the metastability. Finally, machine learning classifiers could successfully generalize between certain pairs of meditation traditions based on the scalp distribution of gamma band entropies. Our results extend previous findings on the spectral changes observed during meditation, showing how long-term practice can lead to the capacity for achieving brain states of high entropy. This constitutes an example of an endogenous, self-induced high entropy state. (C) 2020 IBRO. Published by Elsevier Ltd. All rights reserved.
机译:我们解决了神经动力学熵指责有意识内容的强度和质量的假设。以前的工作确立了Serotonergic yscucedelics可以对脑活动具有令人遗憾的影响,导致具有与某些冥想状态的现象学相当重叠的主观效果。在这里,我们建议冥想的长期实践导致内源性增加的脑振荡活动熵。我们估计在归类的传统中的乐队特异性振荡熵归类为“专注于关注”(喜马拉雅瑜伽),“开放监测”(Vipassana)和“开放意识”(ISHA Shoonya Yoga)。在所有传统中,Vipassana导致最高的熵增加,主要是在α和低/高伽马带中。在与之前的研究一致中,所有冥想传统都会通过降低亚稳定性来增加伽马带中的全球相干性,而且还通过降低亚稳定性来稳定伽马射线系列动力学。最后,基于伽马带熵的头皮分布,机器学习分类器可以在某些冥想传统之间成功推广。我们的结果在冥想期间观察到的光谱变化的先前发现,展示了多长期的做法如何导致实现高熵脑态的能力。这构成了内源性,自诱导的高熵状态的一个例子。 (c)2020年度IBRO。 elsevier有限公司出版。保留所有权利。

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