Feldman Shir Ben-Zvi, Dayan Omer, Somerville Ya'ira, Kao Chang-Hao, Cohen Shelly, Glickman Oriana, Ruiz Sonia G, Newsome Philip, Linke Julia O, Shechner Tomer, Pine Daniel S, Lopez-Guzman Silvia, Abend Rany
School of Psychology, Reichman University, Herzliya, Israel.
Unit on Computational Decision Neuroscience, National Institute of Mental Health, Bethesda, MD, USA.
Res Sq. 2025 Jun 24:rs.3.rs-6916454. doi: 10.21203/rs.3.rs-6916454/v1.
Human behavior often involves resolving conflicts between motivations to pursue rewards and to avoid harm. Maladaptive resolution of such approach-avoidance conflicts is a hallmark of various psychopathologies, notably anxiety disorders. To systematically study motivated behavior tendencies, we need to identify factors that may drive them, such as sensitivity to the magnitudes of expected outcomes. We developed a novel paradigm that presents conflict situations with parametrically- varying magnitudes of potential monetary gains and losses that map onto a continuous behavioral outcome reflecting willingness to engage in each situation. Using this paradigm, we evaluate the hypothesis that potential outcome magnitudes determine conflict behavior, across a series of studies in different populations and settings - including a proof-of-concept with young adults, replication in a larger sample, online administration, and application to youth with and without anxiety disorders. Our findings demonstrate that outcome magnitudes reliably predicted behavior, yielding robust individual indices of gain-approach and loss-avoidance tendencies. Moreover, anxiety severity was associated with greater passive avoidance in a sample-specific manner. By quantifying individual-level indices that link potential outcome magnitudes to observable behavior, our work offers a reliable framework for investigating adaptive and maladaptive motivated behaviors, with potential utility for both basic and clinical research.
人类行为常常涉及解决追求奖励的动机与避免伤害的动机之间的冲突。这种趋避冲突的适应不良解决方式是各种精神病理学的一个标志,尤其是焦虑症。为了系统地研究动机性行为倾向,我们需要识别可能驱动这些倾向的因素,比如对预期结果大小的敏感性。我们开发了一种新颖的范式,呈现具有参数变化的潜在金钱收益和损失大小的冲突情境,这些情境映射到一个反映参与每种情境意愿的连续行为结果上。使用这种范式,我们在一系列针对不同人群和环境的研究中评估了潜在结果大小决定冲突行为的假设——包括对年轻人的概念验证、在更大样本中的重复验证、在线管理以及应用于有和没有焦虑症的青少年。我们的研究结果表明,结果大小可靠地预测了行为,产生了稳健的个体趋利和避害倾向指标。此外,焦虑严重程度以样本特异性的方式与更多的被动回避相关。通过量化将潜在结果大小与可观察行为联系起来的个体水平指标,我们的工作为研究适应性和适应不良的动机性行为提供了一个可靠的框架,对基础研究和临床研究都具有潜在效用。