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冥想的神经现象学方法概述及其与临床研究的相关性。

An Overview of Neurophenomenological Approaches to Meditation and Their Relevance to Clinical Research.

作者信息

Lutz Antoine, Abdoun Oussama, Dor-Ziderman Yair, Trautwein Fynn-Mathis, Berkovich-Ohana Aviva

机构信息

Université Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, EDUWELL, Bron, France; Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, Victoria, Australia.

Université Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, EDUWELL, Bron, France.

出版信息

Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Apr;10(4):411-424. doi: 10.1016/j.bpsc.2024.11.008. Epub 2024 Nov 22.

DOI:10.1016/j.bpsc.2024.11.008
PMID:39579982
Abstract

There is a renewed interest in taking phenomenology seriously in consciousness research, contemporary psychiatry, and neurocomputation. The neurophenomenology research program, pioneered by Varela, rigorously examines subjective experience using first-person methodologies, inspired by phenomenology and contemplative practices. This review explores recent advancements in neurophenomenological approaches, particularly their application to meditation practices and potential clinical research translations. First, we examine innovative multidimensional phenomenological assessment tools designed to capture subtle, dynamic shifts in experiential content and structures of consciousness during meditation. These experience sampling approaches enable shedding new light on the mechanisms and dynamic trajectories of meditation practice and retreat. Second, we highlight how empirical studies in neurophenomenology leverage the expertise of experienced meditators to deconstruct aversive and self-related processes, providing detailed first-person reports that guide researchers in identifying novel behavioral and neurodynamic markers associated with pain regulation, self-dissolution, and acceptance of mortality. Finally, we discuss a recent framework, deep computational neurophenomenology, that updates the theoretical ambitions of neurophenomenology to naturalize phenomenology. This framework uses the formalism of deep parametric active inference, where parametric depth refers to a property of generative models that can form beliefs about the parameters of their own modeling process. Collectively, these methodological innovations, centered around rigorous first-person investigation, highlight the potential of epistemologically beneficial mutual constraints among phenomenological, computational, and neurophysiological domains. This could contribute to an integrated understanding of the biological basis of mental illness, its treatment, and its tight connections to the lived experience of the patient.

摘要

在意识研究、当代精神病学和神经计算领域,人们对认真对待现象学重新产生了兴趣。由瓦雷拉开创的神经现象学研究计划,受现象学和沉思实践的启发,使用第一人称方法严格审视主观体验。本综述探讨了神经现象学方法的最新进展,特别是它们在冥想实践中的应用以及潜在的临床研究转化。首先,我们研究了创新的多维现象学评估工具,这些工具旨在捕捉冥想过程中体验内容和意识结构的微妙动态变化。这些体验抽样方法能够为冥想实践和静修的机制及动态轨迹提供新的见解。其次,我们强调神经现象学的实证研究如何利用有经验的冥想者的专业知识来解构厌恶和自我相关过程,提供详细的第一人称报告,以指导研究人员识别与疼痛调节、自我消解和对死亡的接受相关的新行为和神经动力学标记。最后,我们讨论了一个最近的框架——深度计算神经现象学,它更新了神经现象学将现象学自然化的理论抱负。这个框架使用深度参数主动推理的形式主义,其中参数深度指的是生成模型的一种属性,该模型可以形成关于其自身建模过程参数的信念。总体而言,这些以严格的第一人称调查为中心的方法创新,突出了现象学、计算和神经生理学领域之间在认识论上有益的相互约束的潜力。这可能有助于对精神疾病的生物学基础、其治疗方法以及它与患者生活体验的紧密联系形成综合理解。

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