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Abstract #3969

Connectome predictive modeling of face-name associations in older adults with mild cognitive impairment

Michelle Karker1, Scott Peltier2, Allison Moll3, Julia Laing3, and Benjamin M. Hampstead3,4
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 2Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 3Psychiatry, University of Michigan, Ann Arbor, MI, United States, 4Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States

Connectome predictive modeling was applied to task data. Leveraging a MCI-relevant face-name task illuminates relationships with measures of total cognition (RBANS) and memory (Free Recall). This provides support for the use of clinically-relevant tasks in cases where a “driven” connectivity network may elucidate pathological changes.

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