ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

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基于奖赏-抑制双系统模型饮食失调的神经机制

陈曦梅, 李为, 陈红   

  1. 西南大学心理学部, 重庆 400715 中国
  • 收稿日期:2025-09-05 修回日期:2025-10-26 接受日期:2025-11-19
  • 基金资助:
    国家自然科学基金青年项目(32500937); 中央高校基本科研业务费专项资金项目(SWU2509739)

Neural mechanisms of eating disorders based on the reward-inhibition dual-system model

CHEN Ximei, LI Wei, CHEN Hong   

  1. School of Psychology, Southwest University 400715, China
  • Received:2025-09-05 Revised:2025-10-26 Accepted:2025-11-19

摘要: 近30年来我国饮食失调群体数量陡增,增长率居世界前列,成为全球因饮食失调死亡人数最高的国家。经济快速发展、社媒广泛传播、干预效果欠佳更加推高中国饮食失调问题。如何控制饮食失调的发生成为严峻而现实的问题。本项目拟以大脑奖赏系统和抑制控制系统的交互作用为突破口,基于“结构特征刻画-加工机制解析-预测因子锚定”的递进式研究框架,开展三个研究。首先,使用新颖的多特征形态相似性网络分析技术,探究暴食样饮食失调奖赏与抑制控制网络的结构协变基础;其次,采用新编食物奖赏反应抑制双范式,考察食物奖赏线索对暴食样饮食失调者抑制控制的影响机制;最后,采用前瞻性队列设计,探查能有效预测暴食样饮食失调发生的关键神经指标。本项目力图探明暴食样饮食失调从健康到不健康的动态范围,并构建症状发生到疾病发展的神经阶段模型,为饮食失调的精准识别、早期预防及干预治疗提供科学依据,具有现实性、前沿性和前瞻性。

关键词: 反应性控制, 神经机制, 食物奖赏, 抑制控制, 暴食样饮食失调

Abstract: Over the past three decades, the number of eating disorders in China has increased sharply, and the growth rate ranks among the highest in the world, becoming the country with the highest number of deaths due to eating disorders globally. In particular, the rapid economic development, widespread dissemination of social media, and suboptimal intervention efficacy have collectively exacerbated eating disorders in China. Effectively preventing eating disorders has thus become an urgent and critical challenge facing the nation. Using the reward-inhibition dual-system interaction as a breakthrough, this project follows a progressive research framework (i.e., structural characteristics, processing mechanisms, and robust predictors) to investigate the crucial neural mechanisms of binge-type eating disorders. The research consists of three studies. Firstly, the novel multi-feature morphometric similarity network technique will be employed to reveal the role of underlying structural covariance between reward and inhibitory control networks in binge-type eating disorders. Secondly, based on the bipartite interaction model of dietary decision making, we will use the revised food reward response inhibition paradigms to examine how the brain’s reward (bottom-up) and inhibitory control (top-down) systems dynamically interact to contribute to binge-type eating disorders. Finally, the prospective cohort study will be conducted to further identify the key neuromarkers that can effectively predict the onset and development of binge-type eating disorders. This project aims to construct a neural staging model from the perspective of dual-system interaction, which will deepen our understanding of the full dynamic range of neuromarkers from non-eating disorder to eating disorder conditions, and provide novel insights into the precise identification, early prevention and targeted intervention of binge-type eating disorders.

Key words: reactive control, neural mechanism, food reward, inhibitory control, binge-type eating disorders