Explanation of emotion regulation mechanism of mindfulness using a brain function model.
Haruka Nakamura, Yoshimasa Tawatsuji, Siyuan Fang, Tatsunori Matsui
Neural networks : the official journal of the International Neural Network Society June 1, 2021 DOI: 10.1016/j.neunet.2021.01.029 (opens in new tab) via PubMed
Summary
AI-generated from the abstractMindfulness meditation's emotion regulation mechanism involves two opposing brain processes. A computational model based on anatomical brain networks shows that mindfulness increases output from the thalamus and sensory cortex, activating the insula and anterior cingulate cortex. This can trigger top-down inhibition of the amygdala by the orbitofrontal and dorsolateral prefrontal cortices. However, when bottom-up sensory processing dominates, amygdala activity increases through insula and ACC activation, revealing how previously reported neural patterns during mindfulness arise from information propagation across brain regions.
Study at a glance
| Characteristics | Computational simulation study Peer reviewed |
|---|---|
| Intervention | Mindfulness meditation |
| Keywords | Bottom-up Brain function model Mechanism Top-down |
| Key finding | Mindfulness meditation produces emotion regulation through two pathways: top-down inhibition of the amygdala by prefrontal regions, and bottom-up activation of the amygdala via insula and ACC when sensory processing dominates. |
Abstract
The emotion regulation mechanism of mindfulness plays an important role in the stress reduction effect. Many researchers in the fields of cognitive psychology and cognitive neuroscience have attempted to elucidate this mechanism by documenting the cognitive processes that occur and the neural activities that characterize each process. However, previous findings have not revealed the mechanism of information propagation in the brain that achieves emotion regulation during mindfulness. In this study, we constructed a functional brain model based on its anatomical network structure and a computational model representing the propagation of information between brain regions. We then examined the effects of mindfulness meditation on information propagation in the brain using simulations of changes in the activity of each region. These simulations of changes represent the degree of processing resource allocation to the neural activity via changes in the weights of each region's output. As a result of the simulations, we reveal how the neural activity characteristic of emotion regulation in mindfulness, which has been reported in previous studies, is realized in the brain. Mindfulness meditation increases the weight of the output from each region of the thalamus and sensory cortex, which processes sensory stimuli from the external world. This sensory information activates the insula and anterior cingulate cortex (ACC). The orbitofrontal cortex and dorsolateral prefrontal cortex inhibit amygdala activity (i.e., top-down emotion regulation). However, when mindfulness meditation dominates bottom-up processing via sensory stimuli from the external world, amygdala activity increases through the insula and ACC activation.