Abstract #0881

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

Resting-state connectome 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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