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Neurovariability – a predictor of cognition in health and disease Inter-individual differences can inform treatment procedures and—if accounted for—have the potential to significantly improve patient outcomes. However, when studying brain anatomy, these inter-individual variations are commonly unaccounted for, despite reports of differences in gross anatomical features, cross-sectional, and connectional anatomy. Brain connections are essential to facilitate functional organization and, when severed, cause impairments or complete loss of function. Hence, the study of cerebral white matter is an ideal compromise to capture inter-individual variability in the brain’s structure and function (i.e. neurovariability). Brain pathologies amplify this variability through disconnection and, consequently, the disintegration of cognitive function. In this talk, we will look at the impact of neurovariability of the connected brain in health and in neurological diseases. Understanding what we all share and what makes us unique will change how we approach neurological disorders diagnostics and improve precision neuroscience. Part of the symposium 'Neuroimaging of brain injury: methods, frameworks, and applications'