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内感受敏感性如何调节决策:一项关于神经预测手机游戏参与度的功能磁共振成像研究。

How interoceptive sensibility moderates decision-making: an fMRI study of neuroforecasting mobile games engagement.

作者信息

Chen Ying-Chun, Huang Yun-Hsin, Hsiao Pai-He, Yen Nai-Shing

机构信息

Research Center for Mind, Brain, and Learning, National Chengchi University, No. 64, Sec. 2, Zhinan Rd., Wenshan Dist., Taipei City, 116011, Taiwan.

Department of Psychology, National Chengchi University, Taipei City, Taiwan.

出版信息

Cogn Affect Behav Neurosci. 2025 Apr;25(2):415-433. doi: 10.3758/s13415-024-01238-0. Epub 2024 Dec 9.

Abstract

Neuroscientists in decision science have advanced an affect-integration-motivation (AIM) framework, demonstrating that neural activity associated with positive affect or value integration can predict individual and aggregate choice. Given that individuals with higher interoceptive sensibility (IS) have tendency to engage their bodily sensations and thus exhibit a more coherent pattern between their neural, affective, and behavioral measures, we investigated how IS may interact with the affective/integrative components for predicting individual and aggregate choice. Thus, we 1) explored neural underpinnings of individual choice, affective ratings, aggregate outcomes, 2) examined how the above-mentioned measures predict individual and aggregate choices on mobile games, and 3) tested the moderation effect of IS by comparing the differences in how these measures perform in prediction models between subgroups of IS. Neuroimaging results showed that individual choice associated with NAcc activity, aggregate download rate tracked by regions in salience network, and revenue additionally tracked by regions in motor tendency and attention regulation. Affective ratings and AIns activity predicted individual download choice; mPFC activity forecasted aggregate download rate, and positive arousal forecasted aggregate revenue. As hypothesized, the high IS group displayed coherent correlations between affective ratings, individual choice, and neural measures. More importantly, at the aggregate level, mPFC activity (integrative component), forecasted aggregate download rate above and beyond ratings and individual choice in the high IS group, with this prediction significantly stronger compared with the low IS group. These findings extend the AIM framework by shedding light on the influence of interoceptive sensibility on the neurobehavioral mechanisms underlying human decision-making.

摘要

决策科学领域的神经科学家提出了一种情感-整合-动机(AIM)框架,证明与积极情感或价值整合相关的神经活动可以预测个体和总体选择。鉴于具有较高内感受敏感性(IS)的个体倾向于关注自身身体感觉,因此在神经、情感和行为测量之间表现出更连贯的模式,我们研究了IS如何与情感/整合成分相互作用以预测个体和总体选择。因此,我们1)探索了个体选择、情感评分、总体结果的神经基础,2)研究了上述测量如何预测手机游戏中的个体和总体选择,3)通过比较这些测量在IS亚组的预测模型中的表现差异,测试了IS的调节作用。神经影像学结果表明,个体选择与伏隔核活动相关,显著网络中的区域追踪总体下载率,运动倾向和注意力调节区域额外追踪收入。情感评分和前岛叶活动预测个体下载选择;内侧前额叶皮质活动预测总体下载率,积极唤醒预测总体收入。正如所假设的,高IS组在情感评分、个体选择和神经测量之间表现出连贯的相关性。更重要的是,在总体水平上,内侧前额叶皮质活动(整合成分)在高IS组中预测总体下载率,其作用超过了评分和个体选择,并且与低IS组相比,这种预测显著更强。这些发现通过揭示内感受敏感性对人类决策背后的神经行为机制的影响,扩展了AIM框架。

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