Yarkoni Tal, Braver Todd S, Gray Jeremy R, Green Leonard
Washington University, Department of Psychology, St. Louis, Missouri 63130, USA.
J Exp Anal Behav. 2005 Nov;84(3):537-54. doi: 10.1901/jeab.2005.121-04.
Although functional neuroimaging studies of human decision-making processes are increasingly common, most of the research in this area has relied on passive tasks that generate little individual variability. Relatively little attention has been paid to the ability of brain activity to predict overt behavior. Using functional magnetic resonance imaging (fMRI), we investigated the neural mechanisms underlying behavior during a dynamic decision task that required subjects to select smaller, short-term monetary payoffs in order to receive larger, long-term gains. The number of trials over which the longterm gains accrued was manipulated experimentally (2 versus 12). Event-related neural activity in right lateral prefrontal cortex, a region associated with high-level cognitive processing, selectively predicted choice behavior in both conditions, whereas insular cortex responded to fluctuations in amount of reward but did not predict choice behavior. These results demonstrate the utility of a functional neuroimaging approach in behavioral psychology, showing that (a) highly circumscribed brain regions are capable of predicting complex choice behavior, and (b) fMRI has the ability to dissociate the contributions of different neural mechanisms to particular behavioral tasks.
尽管对人类决策过程的功能性神经影像学研究越来越普遍,但该领域的大多数研究都依赖于被动任务,这些任务产生的个体差异很小。相对而言,人们很少关注大脑活动预测公开行为的能力。我们使用功能磁共振成像(fMRI),研究了一项动态决策任务中行为背后的神经机制,该任务要求受试者选择较小的短期金钱回报,以便获得更大的长期收益。实验操纵了长期收益累积的试验次数(2次与12次)。右侧前额叶外侧皮质的事件相关神经活动,该区域与高级认知处理相关,在两种情况下都选择性地预测了选择行为,而岛叶皮质对奖励量的波动有反应,但没有预测选择行为。这些结果证明了功能性神经影像学方法在行为心理学中的实用性,表明(a)高度限定的脑区能够预测复杂的选择行为,以及(b)fMRI有能力区分不同神经机制对特定行为任务的贡献。