Functional dynamic patterns of executive networks predict postoperative attentive outcome in glioma patients

Motivation: Brain surgery glioma patients frequently exhibit attentional deficit, however the prediction of its appearance is largely unknown. Goal(s): Investigate longitudinal temporal properties of executive function to gain insights about its relationship with cognitive attentive performance in gliomas. Approach: We used longitudinal dynamic functional connectivity analysis of executive networking to associate it with neuropsychological attentive and executive performance. Results: Post-surgical attentive performance is strictly related to functional temporal properties of executive networks, regardless of gliomas' features. Underlying substrates of impairment in the executive domain could be explained by looking at changes in temporal persistence of highly co-activated fronto-parietal networking. Impact: Co-activation patterns framework enables the prediction of post-operative attentional deficits by looking at pre-surgical temporal features of executive networking. We demonstrate how the dynamic nature of the brain contains crucial features to develop clinically relevant imaging markers for gliomas recovery.