Alzheimer’s disease (AD) is one of the most common forms of dementia, marked by progressively degrading cognitive function. The cerebellum plays a role in AD development, but its predictive contribution to early stages of AD remains unclear. We used MRI machine learning based classification within myelin and grey matter of the whole, anterior and posterior cerebellum and the whole brain, between individuals within the first two early stages of dementia and typically ageing controls. Our findings suggest myelin and grey matter loss in early stages of AD, with distinct patterns of anterior and posterior cerebellar atrophy for each tissue property.
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