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. Hampstead^3,4

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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