Using Quantitative Neuropsychological Profiles to Predict Incident Dementia

David Knopman, MD

INTRODUCTION
David Knopman, MD is the Robert H. and Susan M. Rewoldt Professor in Neurology Honoring Bradley F. Boeve, M.D. at Mayo Clinic Rochester where he has been on staff since 2000. He was previously a Professor of Neurology at the University of Minnesota. His principal focus is on cognitive disorders in later life. He has published in the epidemiology, imaging, neuropathology and clinical diagnostic characterization of later life cognitive disorders. He has also been involved in clinical trials in Alzheimer disease and frontotemporal degenerations. He is a past Deputy Editor of Neurology and is currently the scientific integrity officer of the journal.

LEARNING OBJECTIVES
Upon conclusion of this activity, participants should be able to:

• Organize cognitive performance in persons without dementia using standard neuropsychological testing instruments.
• Summarize the quantitative predictive power of neuropsychological assessments for incident dementia.
• Summarize the predictive value of deviation from nominal performance in a given cognitive domain from the identity of the specific domain(s) affected.

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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