![]() ![]() ![]() Since the early 1990s, functional magnetic resonance imaging ( fMRI) peers inside the workings of the living human brain 1. In a first application of the software with clinical data, we were able to link stroke patients and impacted RSNs, showing that their symptoms aligned well with the estimated functions of the networks. We provide an atlas and an open-source software to explore the joint contribution of white and grey matter to RSNs and facilitate the study of the impact of white matter damage to these networks. These overlaps, especially the existence of regions shared by numerous networks, suggest that white matter lesions in these areas might strongly impact the communication within networks. ![]() The method also highlighted the overlap between networks, which revealed that most of the brain’s white matter (89%) is shared between multiple RSNs, with 16% shared by at least 7 RSNs. Using the Human Connectome Project, we generated an atlas of 30 RSNs. We developed a method to jointly map the white and grey matter contributing to each resting-state network (RSN). However, the white matter connections supporting this connectivity remain only partially described. Over the past two decades, the study of resting-state functional magnetic resonance imaging has revealed that functional connectivity within and between networks is linked to cognitive states and pathologies. ![]()
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