Connectome-based predictive modeling of fluid intelligence: evidence for a global system of functionally integrated brain networks.

Cognitive neuroscience continues to advance our understanding of the neural foundations of human intelligence, with significant progress elucidating the role of the frontoparietal network in cognitive control mechanisms for flexible, intelligent behavior. Recent evidence in network neuroscience further suggests that this finding may represent the tip of the iceberg and that fluid intelligence may depend on the collective interaction of multiple brain networks. However, the global brain mechanisms underlying fluid intelligence and the nature of multi-network interactions remain to be well established. We therefore conducted a large-scale Connectome-based Predictive Modeling study, administering resting-state fMRI to 159 healthy college students and examining the contributions of seven intrinsic connectivity networks to the prediction of fluid intelligence, as measured by a state-of-the-art cognitive task (the Bochum Matrices Test). Specifically, we aimed to: (i) identify whether fluid intelligence relies on a primary brain network or instead engages multiple brain networks; and (ii) elucidate the nature of brain network interactions by assessing network allegiance (within- versus between-network connections) and network topology (strong versus weak connections) in the prediction of fluid intelligence. Our results demonstrate that whole-brain predictive models account for a large and significant proportion of variance in fluid intelligence (18%) and illustrate that the contribution of individual networks is relatively modest by comparison. In addition, we provide novel evidence that the global architecture of fluid intelligence prioritizes between-network connections and flexibility through weak ties. Our findings support a network neuroscience approach to understanding the collective role of brain networks in fluid intelligence and elucidate the system-wide network mechanisms from which flexible, adaptive behavior is constructed.

Off-task thinking among adults with and without social anxiety disorder: an ecological momentary assessment study.

Although task-unrelated thinking (often conceptualised as "mind-wandering") has been increasingly investigated in recent years, the content and correlates of everyday off-task thought in clinical disorders, particularly anxiety disorders, remain poorly understood. We aimed to address this gap by using ecological momentary assessment to assess off-task and on-task thoughts in adults with social anxiety disorder (SAD) and demographically matched controls. Findings showed that individuals with SAD more frequently engaged in internally oriented off-task thinking than healthy controls, but not externally oriented off-task thinking. Compared to thoughts focused on the task at hand, adults with SAD rated their internal off-task thoughts as less controllable, more self-focused, and as associated with worse mood than controls. However, when the SAD group was focused on the task at hand, group differences disappeared. Daily findings were paralleled by higher scores in SAD on a trait measure of unintentional, but not intentional, mind-wandering. In sum, the content and mood correlate of internally oriented off-task thoughts depended on the presence of clinical anxiety. In addition, focusing on the task at hand normalised thought content and mood in SAD, highlighting a window for intervention.