Faculty of Psychology, Ministry of Education Key Laboratory of Cognition and Personality, Southwest University, 400715, Chongqing, China.
Faculty of Psychology, Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
Brain Imaging Behav. 2021 Feb;15(1):421-429. doi: 10.1007/s11682-020-00270-1.
Intertemporal choice refers to decisions that need to weigh different rewards at different time points in the future. Decision impulsivity manifests in the tendency of choosing smaller immediate options rather than larger later ones. Previous studies have suggested that decision impulsivity in intertemporal decision-making shares similar cognitive and neural mechanisms with risky decision-making. The present study theorizes on and examines whether the activation patterns of the dorsal medial prefrontal cortex (DMPFC) and the frontal pole (FP) during the risk-taking "cups task", as captured in the scanner, can predict the delay discounting rate (k) based on an intertemporal decision task performed outside the scanner. To this end, we scanned with functional magnetic resonance imaging (fMRI) techniques a sample of 257 college students (N = 257) while performing the cups task. Univariate analyses showed that activation levels of the DMPFC and the FP were inversely correlated with risk preference, but not with the delay discounting rate k. Multivariate pattern analysis, which can overcome key limitations of the univariate analyses, showed that activation patterns of these two regions predict the delay discounting rate k. These results confirmed the important roles of DMPFC and FP in decision impulsivity and the utility of using multivariate pattern analysis with fMRI data involving decision making tasks.
跨期选择是指需要权衡未来不同时间点的不同奖励的决策。决策冲动表现为选择较小的即时选项而不是较大的后期选项的倾向。先前的研究表明,跨期决策中的决策冲动与风险决策具有相似的认知和神经机制。本研究理论化并检验了在风险承担的“杯子任务”中,扫描器中捕获的背内侧前额叶皮层 (DMPFC) 和额极 (FP) 的激活模式是否可以根据在扫描器外进行的跨期决策任务来预测延迟折扣率 (k)。为此,我们使用功能磁共振成像 (fMRI) 技术对 257 名大学生进行了扫描 (N = 257),同时进行了杯子任务。单变量分析表明,DMPFC 和 FP 的激活水平与风险偏好呈负相关,但与延迟折扣率 k 无关。多元模式分析可以克服单变量分析的关键限制,表明这两个区域的激活模式可以预测延迟折扣率 k。这些结果证实了 DMPFC 和 FP 在决策冲动中的重要作用,以及使用 fMRI 数据与决策任务相结合的多元模式分析的有效性。