Spatio-temporal analysis of white matter in glioma from magnetic resonance imaging data: functional tensor and latencies

Recently, white matter functional analysis has gained relevance, showing links to cerebral activity. Some brain diseases preferentially disrupt white matter, leading to pathological alterations in structure and function: glioma is one of them. Therefore, spatio-temporally analyzing the functional organization of white matter in subjects affected by glioma, might offer insights not only about the disease effects themeselves, but also function as a peculiar data pool for evaluating the performance of methods used. This study specifically focused on analyzing functional tensor and latencies.