University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States.
University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States.
Neuroimage. 2021 May 15;232:117872. doi: 10.1016/j.neuroimage.2021.117872. Epub 2021 Feb 18.
The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time.
In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15-21 and 20-22, 2-4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation.
In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 - 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 - 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples.
These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.
功能性神经影像学的应用为研究人类奖励功能的神经基础提供了一条非常有成效的途径。这种方法包括确定精神疾病的潜在神经生物学机制,以及通过对奖励系统的影响来研究环境、经验和生物因素对疾病风险的贡献。然而,这项研究的一个核心且在很大程度上尚未被检验的假设是,神经奖励功能是一种个体差异特征,随着时间的推移相对稳定且具有特质性。
我们在两个独立的青少年和年轻成年人的纵向样本中进行了研究(样本 1 有 145 人,样本 2 有 139 人,均为女性,年龄在 15 到 21 岁之间,均为男性,年龄在 20 到 22 岁之间,扫描次数分别为 2 次和 4 次,两次扫描之间的时间中位数为 1 年和 2 年),使用奖励任务的功能磁共振成像(fMRI)脑区激活的个体内稳定性来检验这一假设,我们测试了在卡片猜测奖励任务的预期和反馈阶段中,多种常用的主动状态和基线对比的个体内稳定性。我们研究了皮质分割分辨率、对比、网络(奖励区域和静息态网络)、区域大小、激活强度和变异性对奖励相关激活稳定性的影响。
在两个样本中,相对于基线的主动状态对比(例如,Win>Baseline;平均 ICC[组内相关系数]为 0.13-0.33)比两个主动状态对比(例如,Win>Loss;平均 ICC 为 0.048-0.05)更稳定。此外,奖励区域的激活比许多非任务网络的激活更不稳定(例如,背侧注意网络),而在两个样本中,个体间变异性较大的区域的激活显示出更高的稳定性。
这些结果表明,在青少年和年轻成年人样本中,卡片猜测奖励任务的 fMRI 激活的某些对比在 1-2 年内具有部分特质性。值得注意的是,结果表明,旨在映射认知功能并显示出稳健的组间效应(例如,Win> Loss)的对比在个体差异和疾病风险研究中可能效果较差。在个体差异 fMRI 研究中选择感兴趣区域时,应权衡组水平激活的稳健性与其他因素。