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DOI 10.1016/j.brainresbull.2026.112021

Медицинская библиотека · Brain research bulletin · 2026

Shared neural mechanisms of trait mindfulness and hypnotic susceptibility: A scoping review toward a unifying predictive coding framework.

Chen Qiang, Zhang Yating, Liu Chenrui, Fu Yu, Gan Quan, Chen Zhuangfei

СтатьяScoping ReviewПеревод в очереди

Аннотация

BACKGROUND

This scoping review systematically compares the neural mechanisms underlying trait mindfulness and hypnosis susceptibility, focusing on three key dimensions: brain region activation, electroencephalographic (EEG) signals, and core brain networks. The aim is to elucidate potential shared mechanisms involved in conscious state modulation.

METHODS

Through a comprehensive review of existing brain imaging and EEG studies, we found that both phenomena involve the prefrontal cortex and anterior cingulate cortex, enhanced theta and alpha EEG rhythms, and are closely related to the dynamic interaction between the salience network and the central executive network.

RESULTS

These findings suggest their potential role in attentional regulation. Guided by the theory of predictive coding for interoception, we propose an integrative framework: trait mindfulness and hypnosis susceptibility jointly influence cognitive processes and alter self-conscious states through differential regulation. Specifically, trait mindfulness enhances perceptual inference and metacognitive awareness, whereas hypnosis susceptibility facilitates the acceptance of high-precision prior cues (suggestions) and promotes active inference.

CONCLUSIONS

This framework provides a unified perspective for understanding the foundation of the two constructs and identifies directions for future research and clinical translation (e.g., anxiety interventions).

Для цитирования: Chen Qiang, Zhang Yating, Liu Chenrui, Fu Yu, Gan Quan, Chen Zhuangfei. Shared neural mechanisms of trait mindfulness and hypnotic susceptibility: A scoping review toward a unifying predictive coding framework.. Brain research bulletin. 2026. DOI: 10.1016/j.brainresbull.2026.112021.

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