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A signature of cognitive deficits and brain atrophy that is highly predictive of progression to Alzheimer's dementia
Patients with mild cognitive impairment (MCI) are at risk of progressing to Alzheimer's dementia, yet only a fraction of them do. We explore here whether a very high-risk MCI subgroup can be identified using additional cognitive assessments and structural neuroimaging. A multimodal signature of Alzheimer's dementia was first extracted using machine learning tools in the ADNI1 sample, and was comprised of cognitive deficits across multiple domains as well as atrophy in temporal, parietal anddoi:10.1101/352344 fatcat:55wmn7226bbb7hnkwy4ycebkne