Speed-of-processing abilities decline with age yet are important in performing instrumental activities of daily living. The useful field of view, or Double Decision task, assesses speed-of-processing and divided attention. Performance on this task is related to attention, executive functioning, and visual processing abilities in older adults, and poorer performance predicts more motor vehicle accidents in the elderly. Cognitive training in this task reduces risk of dementia. Structural and functional neural correlates of this task suggest that higher-order resting state networks may be associated with performance on the Double Decision task, although this has never been explored. This study aimed to assess the association of within-network connectivity of the default mode network, dorsal attention network, frontoparietal control network, and cingulo-opercular network with Double Decision task performance, and subcomponents of this task in a sample of 267 healthy older adults. Multiple linear regressions showed that connectivity of the cingulo-opercular network is associated with visual speed-of-processing and divided attention subcomponents of the Double Decision task. Cingulo-opercular network and frontoparietal control network connectivity is associated with Double Decision task performance. Stronger connectivity is related to better performance in all cases. These findings confirm the unique role of the cingulo-opercular network in visual attention and sustained divided attention. Frontoparietal control network connectivity, in addition to cingulo-opercular network connectivity, is related to Double Decision task performance, a task implicated in reduced dementia risk. Future research should explore the role these higher-order networks play in reduced dementia risk after cognitive intervention using the Double Decision task.

处理速度随着年龄的增长而下降，但对于进行日常生活的工具性活动很重要。有用的视野或双重决策任务评估处理速度和分散的注意力。这项任务的表现与老年人的注意力、执行功能和视觉处理能力有关，表现较差预示老年人会发生更多的机动车事故。这项任务的认知训练可以降低患痴呆症的风险。该任务的结构和功能神经相关性表明，高阶静息状态网络可能与双重决策任务的性能相关，尽管这一点从未被探索过。本研究旨在评估默认模式网络、背侧注意网络、额顶控制网络和扣带盖网络的网络内连接与双重决策任务表现以及该任务的子组件在 267 名健康老年人样本中的关联。多元线性回归表明，扣带-鳃盖网络的连通性与视觉处理速度和双重决策任务的分散注意力子组件相关。扣带-鳃盖网络和额顶控制网络连接与双重决策任务表现相关。在所有情况下，更强的连接性都与更好的性能相关。这些发现证实了扣带盖网络在视觉注意力和持续分散注意力中的独特作用。除了扣带-鳃盖网络连接之外，额顶控制网络连接还与双重决策任务表现相关，该任务与降低痴呆风险有关。未来的研究应该探索这些高阶网络在使用双重决策任务进行认知干预后降低痴呆风险中所发挥的作用。