Laczó, M., Wiener, J.M., Kalinova, J., Matuskova, V., Vyhnalek, M., Hort, J. and Laczó, J., 2021. Spatial navigation and visuospatial strategies in typical and atypical aging. Brain Sciences, 11 (11), 1421.
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Abstract
Age-related spatial navigation decline is more pronounced in patients with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) dementia. We used a realistic-looking virtual navigation test suite to analyze different aspects of visuospatial processing in typical and atypical aging. A total of 219 older adults were recruited from the Czech Brain Aging Study cohort. Cognitively normal older adults (CN; n = 78), patients with amnestic MCI (n = 75), and those with mild AD dementia (n = 66) underwent three navigational tasks, cognitive assessment, and brain MRI. Route learning and wayfinding/perspective-taking tasks distinguished the groups as performance and learning declined and specific visuospatial strategies were less utilized with increasing cognitive impairment. Increased perspective shift and utilization of non-specific strategies were associated with worse task performance across the groups. Primacy and recency effects were observed across the groups in the route learning and the wayfinding/perspective-taking task, respectively. In addition, a primacy effect was present in the wayfinding/perspective-taking task in the CN older adults. More effective spatial navigation was associated with better memory and executive functions. The results demonstrate that a realistic and ecologically valid spatial navigation test suite can reveal different aspects of visuospatial processing in typical and atypical aging.
Item Type: | Article |
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ISSN: | 2076-3425 |
Additional Information: | This article belongs to the Special Issue Visuospatial Function in Early Alzheimer’s Disease, Healthy Elderly and MCI People |
Uncontrolled Keywords: | : mild cognitive impairment; Alzheimer’s disease; spatial navigation; route learning; wayfinding; perspective taking; navigation strategies; visuospatial functions |
Group: | Faculty of Science & Technology |
ID Code: | 36226 |
Deposited By: | Symplectic RT2 |
Deposited On: | 09 Nov 2021 10:04 |
Last Modified: | 14 Mar 2022 14:30 |
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