Symptoms of fatigue, cognitive deficits, depression and changes in personality and behavior are frequently reported in patients with glioma. These symptoms have a large impact on the everyday life of patients and their partners and can contribute to a decrease in quality of life. While guidelines are available for managing most of these symptoms, these guidelines are often not suitable for the brain tumor patient population, as this population has very specific problems and needs. Obtaining more evidence on the effectiveness of existing and new interventions targeting fatigue, cognitive deficits, depression, and changes in personality and behavior in this population is advised. Screening combined with adequate referral to supportive care professionals has the potential to decrease the disease burden of glioma patients and their partners.
Brain functioning such as cognitive performance depends on the functional interactions between brain areas, namely, the functional brain networks. The functional brain networks of a group of patients with brain tumors are measured before and after tumor resection. In this work, we perform a weighted network analysis to understand the effect of neurosurgery on the characteristics of functional brain networks. Statistically significant changes in network features have been discovered in the beta ͑13-30 Hz͒ band after neurosurgery: the link weight correlation around nodes and within triangles increases which implies improvement in local efficiency of information transfer and robustness; the clustering of high link weights in a subgraph becomes stronger, which enhances the global transport capability; and the decrease in the synchronization or virus spreading threshold, revealed by the increase in the largest eigenvalue of the adjacency matrix, which suggests again the improvement of information dissemination.
Depression is one of the leading causes of global disability, and a considerable hidden morbidity among patients with glioma. In this narrative review, we summarise what is currently known about depression in glioma, the main unanswered questions and the types of studies that should be prioritised in order to find out. We conclude by calling for a prospective Phase II study of antidepressants in depressed glioma patients, to test methodologies for a multicentre randomised controlled trial.
Cognitive deficits in brain tumor patients are reflected in whole-brain network disturbances. Possible future clinical use of these findings mostly concerns prognostics and tailoring treatment strategies.
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