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• W4385333896 abstract "Abstract Contemplative neuroscience has increasingly explored meditation using neuroimaging. However, the brain mechanisms underlying meditation remain elusive. Here, we implemented a causal mechanistic framework to explore the spatiotemporal dynamics of expert meditators during meditation and rest. We first applied a model-free approach by defining a probabilistic metastable substate (PMS) space for each state, consisting of different probabilities of occurrence from a repertoire of dynamic patterns. Different brain signatures were mainly found in the triple-network model (i.e., the executive control, salience, and default-mode networks). Moreover, we implemented a model-based approach by adjusting the PMS of the resting state to a whole-brain model, which enabled us to explore in silico perturbations to transition to the meditation state. Consequently, we assessed the sensitivity of different brain areas regarding their perturbability and their mechanistic local-global effects. Using a synchronous protocol, we successfully transitioned from the resting state to the meditative state by shifting areas mainly from the somatomotor and dorsal attention networks. Overall, our work reveals distinct whole-brain dynamics in meditation compared to rest, and how the meditation state can be induced with localized artificial perturbations. It motivates future work regarding meditation as a practice in health and as a potential therapy for brain disorders." @default.
• W4385333896 created "2023-07-29" @default.
• W4385333896 creator A5021780317 @default.
• W4385333896 creator A5027614540 @default.
• W4385333896 creator A5031782595 @default.
• W4385333896 creator A5044649544 @default.
• W4385333896 creator A5051269661 @default.
• W4385333896 date "2023-07-28" @default.
• W4385333896 modified "2023-10-18" @default.
• W4385333896 title "Inducing a meditative state by artificial perturbations: A causal mechanistic understanding of brain dynamics underlying meditation" @default.
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• W4385333896 doi "https://doi.org/10.1101/2023.07.27.550828" @default.
• W4385333896 hasPublicationYear "2023" @default.

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