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Memory Performance and Quantitative Neuroimaging Software in Mild Cognitive Impairment: A Concurrent Validity Study

Published online by Cambridge University Press:  28 April 2020

Laura Glass Umfleet*
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Alissa M. Butts
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Julie K. Janecek
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Katherine Reiter
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Mohit Agarwal
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Benjamin L. Brett
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Joseph J. Ryan
School of Nutrition, Kinesiology, and Psychological Science, University of Central Missouri, Warrensburg, MO64093, USA
James Reuss
Prism Clinical Imaging, Inc., 890 Elm Grove Rd #209, Elm Grove, WI53122, USA
Andrew Klein
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Anthony N. Correro II
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
Malgorzata Franczak
Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA
*Correspondence and reprint requests to: Laura Glass Umfleet, Department of Neurology, Division of Neuropsychology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI53226, USA. Phone: +1 414 955 0664, Fax: +1 414 955 0076. E-mail:



This study examined the relationship between patient performance on multiple memory measures and regional brain volumes using an FDA-cleared quantitative volumetric analysis program – Neuroreader™.


Ninety-two patients diagnosed with mild cognitive impairment (MCI) by a clinical neuropsychologist completed cognitive evaluations and underwent MR Neuroreader™ within 1 year of testing. Select brain regions were correlated with three widely used memory tests. Regression analyses were conducted to determine if using more than one memory measures would better predict hippocampal z-scores and to explore the added value of recognition memory to prediction models.


Memory performances were most strongly correlated with hippocampal volumes than other brain regions. After controlling for encoding/Immediate Recall standard scores, statistically significant correlations emerged between Delayed Recall and hippocampal volumes (rs ranging from .348 to .490). Regression analysis revealed that evaluating memory performance across multiple memory measures is a better predictor of hippocampal volume than individual memory performances. Recognition memory did not add further predictive utility to regression analyses.


This study provides support for use of MR Neuroreader™ hippocampal volumes as a clinically informative biomarker associated with memory performance, which is a critical diagnostic feature of MCI phenotype.

Regular Research
Copyright © INS. Published by Cambridge University Press, 2020

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