کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6030033 | 1580939 | 2013 | 8 صفحه PDF | دانلود رایگان |
Real world tasks involving moving targets, such as driving a vehicle, are performed based on continuous decisions thought to depend upon the temporal derivative of the expected utility (âV/ât), where the expected utility (V) is the effective value of a future reward. However, the neural mechanisms that underlie dynamic decision-making are not well understood. This study investigates human neural correlates of both V and âV/ât using fMRI and a novel experimental paradigm based on a pursuit-evasion game optimized to isolate components of dynamic decision processes. Our behavioral data show that players of the pursuit-evasion game adopt an exponential discounting function, supporting the expected utility theory. The continuous functions of V and âV/ât were derived from the behavioral data and applied as regressors in fMRI analysis, enabling temporal resolution that exceeded the sampling rate of image acquisition, hyper-temporal resolution, by taking advantage of numerous trials that provide rich and independent manipulation of those variables. V and âV/ât were each associated with distinct neural activity. Specifically, âV/ât was associated with anterior and posterior cingulate cortices, superior parietal lobule, and ventral pallidum, whereas V was primarily associated with supplementary motor, pre and post central gyri, cerebellum, and thalamus. The association between the âV/ât and brain regions previously related to decision-making is consistent with the primary role of the temporal derivative of expected utility in dynamic decision-making.
252Highlights⺠Real-time game states provided estimations of expected utility, V, and âV/ât. ⺠Behavioral variables, V and âV/ât, were applied as regressors for high temporal resolution fMRI. ⺠The neural correlates of the previously unobserved âV/ât include ACC, PCC and VP. ⺠The neural correlates of V include SMA, thalamus, and motor cortex. ⺠Behavioral components of dynamic decision-making function were isolated.
Journal: NeuroImage - Volume 65, 15 January 2013, Pages 223-230