Rapid instructed task learning (RITL) is the uniquely human ability to transform task information into goal-directed behavior without relying on trial-and-error learning. RITL is a core cognitive process supported by functional brain networks. In patients with schizophrenia, RITL ability is impaired, but the role of functional network connectivity in these RITL deficits is unknown. We investigated task-based connectivity of eight a priori network pairs in participants with schizophrenia (n = 29) and control participants (n = 31) during the performance of an RITL task. Multivariate pattern analysis was used to determine which network connectivity patterns predicted diagnostic group. Of all network pairs, only the connectivity between the cingulo-opercular network (CON) and salience network (SAN) during learning classified patients and control participants with significant accuracy (80%). CON-SAN connectivity during learning was significantly associated with task performance in participants with schizophrenia. These findings suggest that impaired interactions between identification of salient stimuli and maintenance of task goals contributes to RITL deficits in participants with schizophrenia.

快速指导任务学习（RITL）是人类独特的能力，无需依赖试错学习即可将任务信息转化为目标导向的行为。RITL 是由功能性大脑网络支持的核心认知过程。精神分裂症患者的 RITL 能力受损，但功能网络连接在这些 RITL 缺陷中的作用尚不清楚。我们研究了精神分裂症参与者 ( n = 29) 和对照参与者 ( n = 31) 在执行 RITL 任务期间八个先验网络对的基于任务的连接。使用多变量模式分析来确定哪些网络连接模式可以预测诊断组。在所有网络对中，只有学习期间扣带-鳃盖网络 (CON) 和显着网络 (SAN) 之间的连接才能以显着的准确度 (80%) 对患者和对照参与者进行分类。学习期间的 CON-SAN 连接性与精神分裂症参与者的任务表现显着相关。这些发现表明，显着刺激的识别和任务目标的维持之间的相互作用受损会导致精神分裂症参与者的 RITL 缺陷。