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Prediction of Free and Cued Selective Reminding Test Performance Using Volumetric and Amyloid-Based Biomarkers of Alzheimer’s Disease

Published online by Cambridge University Press:  01 December 2016

Lisa Quenon ,
Laurence Dricot ,
John L. Woodard ,
Bernard Hanseeuw ,
Nathalie Gilis ,
Renaud Lhommel  and
Adrian Ivanoiu
Lisa Quenon*
Affiliation:
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
Laurence Dricot
Affiliation:
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium
John L. Woodard
Affiliation:
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium Psychology Department, Wayne State University, Detroit, Michigan
Bernard Hanseeuw
Affiliation:
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium Neurology Department, Saint Luc University Hospital, Université Catholique de Louvain, Brussels, Belgium Neurology Department, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
Nathalie Gilis
Affiliation:
Neurosurgery Department, Citadelle Regional Hospital Center, Liège, Belgium
Renaud Lhommel
Affiliation:
Nuclear Medicine Department, Saint Luc University Hospital, Université Catholique de Louvain, Brussels, Belgium
Adrian Ivanoiu
Affiliation:
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium Neurology Department, Saint Luc University Hospital, Université Catholique de Louvain, Brussels, Belgium
*
Correspondence and reprint requests to: Lisa Quenon, Avenue Hippocrate 10, Centre de Revalidation Neuropsychologique, 1200 Woluwe-Saint-Lambert, Belgium. E-mail: [email protected]
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Abstract

Objectives: Relatively few studies have investigated relationships between performance on clinical memory measures and indexes of underlying neuropathology related to Alzheimer’s disease (AD). This study investigated predictive relationships between Free and Cued Selective Reminding Test (FCSRT) cue efficiency (CE) and free-recall (FR) measures and brain amyloid levels, hippocampal volume (HV), and regional cortical thickness. Methods: Thirty-one older controls without memory complaints and 60 patients presenting memory complaints underwent the FCSRT, amyloid imaging using [F18]-flutemetamol positron emission tomography, and surface-based morphometry (SBM) using brain magnetic resonance imaging. Three groups were considered: patients with high (Aβ+P) and low (Aβ− P) amyloid load and controls with low amyloid load (Aβ− C). Results: Aβ+P showed lower CE than both Aβ− groups, but the Aβ− groups did not differ significantly. In contrast, FR discriminated all groups. SBM analyses revealed that CE indexes were correlated with the cortical thickness of a wider set of left-lateralized temporal and parietal regions than FR. Regression analyses demonstrated that amyloid load and left HV independently predicted FCSRT scores. Moreover, CE indexes were predicted by the cortical thickness of some regions involved in early AD, such as the entorhinal cortex. Conclusions: Compared to FR measures, CE indexes appear to be more specific for differentiating persons on the basis of amyloid load. Both CE and FR performance were predicted independently by brain amyloid load and reduced left HV. However, CE performance was also predicted by the cortical thickness of regions known to be atrophic early in AD. (JINS, 2016, 22, 991–1004)

Keywords

FCSRTCue efficiencyFree-recallAlzheimer’s diseaseAmyloidHippocampal volumeCortical thickness
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 22 , Special Issue 10: Special Issue: Preclinical Prediction , November 2016 , pp. 991 - 1004
Copyright
Copyright © The International Neuropsychological Society 2016 

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