Abstract #3282

Connectome predictive modeling in subjects with mild cognitive impairment: Resting-state and object location task results

Scott Peltier¹, Sean Ma², Allison Moll², Julia Laing², and Benjamin Hampstead^2,3

¹Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, ²Psychiatry, University of Michigan, Ann Arbor, MI, United States, ³Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States

Connectome predictive analysis was applied to MCI subjects using both resting-state and task data. While a measure of free recall was predicted equally well in rest or task, a measure of total cognition was only predicted succesfully using the task data. This argues for the utility of cognitive "stress tests" to better capture relevant brain biomarkers.

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