Keywords: Alzheimer's Disease, Alzheimer's DiseaseMedical imaging is a promising tool in detecting altered brain tissue states related to cognitive impairment and dementia, however, clinical heterogeneity challenges interpretation of these changes. Recent work in normative modeling has paved the way for not only group-based comparisons of control/cohorts, but detection of deviations in individual subjects. Here, we apply this framework to detect anomalies in individuals with cognitive impairment by assessing the classification power of microstructural and macrostructural features of different tissue types, and also attributing anomalies to specific features of brain tissue.
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