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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 Hampstead2,3

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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