Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Numerous studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline in older adults. Despite its efficacy, little is known about the neural correlates of this task. The current study is the first to investigate the coherence of functional connectivity during UFOV task completion. A total of 336 participants completed the UFOV task while undergoing task-based functional magnetic resonance imaging (fMRI). Ten spherical regions of interest (ROIs), selected a priori, were created based on regions with the greatest peak BOLD activation patterns in the UFOV fMRI task and regions that have been shown to significantly relate to UFOV fMRI task performance. We used a weighted ROI-to-ROI connectivity analysis to model task-specific functional connectivity strength between these a priori selected ROIs. We found that our UFOV fMRI network was functionally connected during task performance and was significantly associated to UFOV fMRI task performance. Within-network connectivity of the UFOV fMRI network showed comparable or better predictive power in accounting for UFOV accuracy compared to 7 resting state networks, delineated by Yeo and colleagues. Finally, we demonstrate that the within-network connectivity of UFOV fMRI task accounted for scores on a measure of “near transfer”, the Double Decision task, better than the aforementioned resting state networks. Our data elucidate functional connectivity patterns of the UFOV fMRI task. This may assist in future targeted interventions that aim to improve synchronicity within the UFOV fMRI network.

处理速度性能的下降发生在衰老过程中，是老年人功能独立的关键标志。大量研究表明，有用视野 (UFOV) 训练可以改善老年人的认知能力下降。尽管它很有效，但人们对这项任务的神经相关性知之甚少。目前的研究是第一个调查 UFOV 任务完成期间功能连接的一致性的研究。共有 336 名参与者完成了 UFOV 任务，同时接受基于任务的功能磁共振成像 (fMRI)。根据 UFOV fMRI 任务中具有最大峰值 BOLD 激活模式的区域以及已被证明与 UFOV fMRI 任务性能显着相关的区域，创建了先验选择的十个球形感兴趣区域 (ROI)。我们使用加权 ROI 到 ROI 连接分析来模拟这些先验选择的 ROI 之间特定于任务的功能连接强度。我们发现我们的 UFOV fMRI 网络在任务执行过程中功能连接，并且与 UFOV fMRI 任务执行显着相关。Yeo 及其同事描述，与 7 个静息状态网络相比，UFOV fMRI 网络的网络内连接在考虑 UFOV 准确性方面表现出可比或更好的预测能力。最后，我们证明 UFOV fMRI 任务的网络内连接性在“近转移”（双重决策任务）衡量标准上的得分优于上述静息状态网络。我们的数据阐明了 UFOV fMRI 任务的功能连接模式。这可能有助于未来的有针对性的干预措施，旨在提高 UFOV fMRI 网络内的同步性。