A depression network caused by brain tumours

AbstractTo systematically analyse and discuss whether suppressive heterogeneous brain tumours (BTs) belong to a common brain network and provide a theoretical basis for identifying BT patients with a high risk of depression and select therapeutic targets for clinical treatment. The PubMed database was systematically searched to obtain relevant case reports, and lesion locations were manually traced to standardised brain templates according to ITK-SNAP descriptive literature. Resting-state functional magnetic resonance imaging data sets were collected from 1,000 healthy adults aged 18 –35 years. Each lesion location or functional connectivity area of the lesion network. Connectivity analysis was performed in an MN152 space, and Fisherz-transformation was applied to normalise the distribution of each value in the functional connectivity correlation map, andT maps of each tumour location network were calculated with theT score of individual voxels. ThisT score indicates the statistical significance of voxelwise connectivity at each tumour location. The lesion networks were thresholded atT = 7, creating binarised maps of brain regions connecting tumour locations, overlaying network maps to identify tumour-sensitive hubs and also assessing specific hubs with other conditional controls. A total of 18 patients describing depression following focal BTs were included. Of these cases, it was reported that depression-related tumours were unevenly distributed in the brain: 89% (16...
Source: Anatomy and Embryology - Category: Anatomy Source Type: research