Ondrej Bezdicek1,2, Markéta Červenková1,2, Hana Georgi3, Ben Schmand4, Adéla Hladká1,5, Aaron Rulseh1,6, Miloslav Kopeček1,7. 1. National Institute of Mental Health, Klecany, Czech Republic. 2. Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czech Republic. 3. Neurotrend, z.s., Prague. 4. Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. 5. Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic. 6. Department of Radiology, Na Homolce Hospital, Prague, Czech Republic. 7. Department of Psychiatry, Third Faculty of Medicine, Charles University, Prague, Czech Republic.
Abstract
Objective: The purpose of the present study was to investigate if participants in NANOK study (National Normative Study of Cognitive Determinants of Healthy Ageing) who show no cognitive decline throughout five years (successful healthy agers; SHA) will show less age-related differences in instrumental activities of daily living (IADL) based on Functional Activities Questionnaire in comparison to participants who show subtle cognitive decline (Decliners) over time.Method: We used two different classifications of SHA: Rogalski (N = 25 SHA and N = 15 Decliners) based on cross-sectional neuropsychology measures and linear mixed model (LMEM; 20 SHA and 20 Decliners) based on the Montreal Cognitive Assessment longitudinal 5-years follow-up. Whole-brain T1- and T2-weighted images were corrected for distortions and segmented using Freesurfer. Whole-brain volumetry was performed using FSL's voxel-based morphometry tool. Results: The cognitive decline after four years follow-up but not age predicts subtle impairment in IADL in healthy ageing participants. We found brain volumetric differences between SHA and Decliners based on Rogalski but not LMEM classification especially in bilateral insular cortices and ventrolateral frontal cortex. The logistic regression model achieved an accuracy of 75% for the Rogalski in comparison to 67.5% for the LMEM classification.Conclusions: Slight restrictions in IADL seem to be a useful tool for screening healthy ageing participants at risk of developing subtle cognitive decline over a period of five years and the cross-sectional Rogalski criteria based on standardized neuropsychological measures were superior for tapping age-related brain changes to longitudinal LMEM classification based on screening (Montreal Cognitive Assessment).
Objective: The purpose of the present study was to investigate if participants in NANOK study (National Normative Study of Cognitive Determinants of Healthy Ageing) who show no cognitive decline throughout five years (successful healthy agers; SHA) will show less age-related differences in instrumental activities of daily living (IADL) based on Functional Activities Questionnaire in comparison to participants who show subtle cognitive decline (Decliners) over time.Method: We used two different classifications of SHA: Rogalski (N = 25 SHA and N = 15 Decliners) based on cross-sectional neuropsychology measures and linear mixed model (LMEM; 20 SHA and 20 Decliners) based on the Montreal Cognitive Assessment longitudinal 5-years follow-up. Whole-brain T1- and T2-weighted images were corrected for distortions and segmented using Freesurfer. Whole-brain volumetry was performed using FSL's voxel-based morphometry tool. Results: The cognitive decline after four years follow-up but not age predicts subtle impairment in IADL in healthy ageing participants. We found brain volumetric differences between SHA and Decliners based on Rogalski but not LMEM classification especially in bilateral insular cortices and ventrolateral frontal cortex. The logistic regression model achieved an accuracy of 75% for the Rogalski in comparison to 67.5% for the LMEM classification.Conclusions: Slight restrictions in IADL seem to be a useful tool for screening healthy ageing participants at risk of developing subtle cognitive decline over a period of five years and the cross-sectional Rogalski criteria based on standardized neuropsychological measures were superior for tapping age-related brain changes to longitudinal LMEM classification based on screening (Montreal Cognitive Assessment).
Authors: A Sardella; F Bellone; N Morabito; S Minisola; G Basile; F Corica; A Catalano Journal: J Endocrinol Invest Date: 2020-09-14 Impact factor: 4.256