The Amyloid, Tau, Neurodegeneration (ATN) classification model is defined by the concentration of biomarkers in the cerebrospinal fluid (CSF) and the positivity of imaging markers using MR or PET imaging. Despite the CSF biomarkers requiring an invasive procedure, they are good predictors for Alzheimer’s Disease. We investigate the contribution of automated brain MR morphometry analysis to discriminate between healthy subjects and dementia patients according to the ATN classification. Hippocampal and temporal gray matter volumes allow a substantial distinction between healthy participants with amyloid negativity and patients with an Alzheimer’s CSF profile in the T category.
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