Predicting memory impairment using resting-state brain connectomes in older adults
Scott Peltier1, Sean Ma2, Bruno Giordani2, Henry Paulson2, Rachael Snyder2, and Benjamin Hampstead2
1Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2Psychiatry, University of Michigan, Ann Arbor, MI, United States
modelling is applied to a population of older adults, including controls, subjects
with amnestic MCI, and subjects with AD.
Significant prediction of subjects' composite memory scores is achieved.
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