Ahn Jeesung, Cooper Nicole, Kang Yoona, O'Donnell Matthew Brook, Green Mikella A, Notthoff Nanna, Carstensen Laura L, Samanez-Larkin Gregory R, Falk Emily B
Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Annenberg School for Communication ,University of Pennsylvania, Philadelphia, PA 19104, United States.
Soc Cogn Affect Neurosci. 2025 May 30;20(1). doi: 10.1093/scan/nsaf046.
Health messaging often employs gain-framing (highlighting behaviour benefits) or loss-framing (emphasizing nonengagement risks) to promote behaviour change. This study examined how neural responses to gain- and loss-framed messages predict changes in physical activity. We conducted a mega-analysis of raw fMRI and pedometer/accelerometer data from four studies (N = 240) that tracked brain activity during message exposure and real-world physical activity longitudinally. Focusing on brain regions theorized by the Affect-Integration-Motivation framework-the anterior insula, ventral striatum, ventromedial prefrontal cortex, dorsal striatum, and presupplementary motor area-we found that baseline physical activity levels moderated brain-behaviour relationships in response to message framing. More active individuals increased physical activity post-intervention when these brain regions responded more strongly to loss-framed messages, suggesting that neural sensitivity to inactivity risks may reinforce behaviour maintenance in this group. Conversely, less active individuals increased physical activity when brain responses were stronger to gain-framed messages, indicating that sensitivity to activity benefits may facilitate action initiation in this group. These findings suggest that message effectiveness depends on the interaction between framing, neural processing, and pre-existing behavioural patterns. By linking neurocognitive mechanisms with real-world outcomes, we highlight the importance of personalized, neuroscience-informed health interventions tailored to individual neural and behavioural characteristics to optimize behaviour change strategies.
健康信息传播通常采用获益框架(强调行为益处)或损失框架(强调不参与的风险)来促进行为改变。本研究考察了对获益框架和损失框架信息的神经反应如何预测身体活动的变化。我们对四项研究(N = 240)的原始功能磁共振成像(fMRI)和计步器/加速度计数据进行了一项汇总分析,这些研究纵向追踪了信息暴露和现实世界身体活动期间的大脑活动。聚焦于情感-整合-动机框架理论所涉及的脑区——前脑岛、腹侧纹状体、腹内侧前额叶皮层、背侧纹状体和辅助运动前区——我们发现,基线身体活动水平调节了对信息框架的脑-行为关系。当这些脑区对损失框架信息反应更强时,更活跃的个体在干预后增加了身体活动,这表明对不活动风险的神经敏感性可能会加强该组的行为维持。相反,当大脑对获益框架信息的反应更强时,不太活跃的个体增加了身体活动,这表明对活动益处的敏感性可能会促进该组的行动启动。这些发现表明,信息有效性取决于框架、神经加工和预先存在的行为模式之间的相互作用。通过将神经认知机制与现实世界的结果联系起来,我们强调了根据个体神经和行为特征量身定制个性化的、基于神经科学的健康干预措施以优化行为改变策略的重要性。