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Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment
BACKGROUND: Spatial navigation impairment is a promising cognitive marker of Alzheimer’s disease (AD) that can reflect the underlying pathology. OBJECTIVES: We assessed spatial navigation performance in AD biomarker positive older adults with amnestic mild cognitive impairment (AD aMCI) vs. those AD...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201637/ https://www.ncbi.nlm.nih.gov/pubmed/35721017 http://dx.doi.org/10.3389/fnagi.2022.886778 |
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author | Laczó, Martina Martinkovic, Lukas Lerch, Ondrej Wiener, Jan M. Kalinova, Jana Matuskova, Veronika Nedelska, Zuzana Vyhnalek, Martin Hort, Jakub Laczó, Jan |
author_facet | Laczó, Martina Martinkovic, Lukas Lerch, Ondrej Wiener, Jan M. Kalinova, Jana Matuskova, Veronika Nedelska, Zuzana Vyhnalek, Martin Hort, Jakub Laczó, Jan |
author_sort | Laczó, Martina |
collection | PubMed |
description | BACKGROUND: Spatial navigation impairment is a promising cognitive marker of Alzheimer’s disease (AD) that can reflect the underlying pathology. OBJECTIVES: We assessed spatial navigation performance in AD biomarker positive older adults with amnestic mild cognitive impairment (AD aMCI) vs. those AD biomarker negative (non-AD aMCI), and examined associations between navigation performance, MRI measures of brain atrophy, and cerebrospinal fluid (CSF) biomarkers. METHODS: A total of 122 participants with AD aMCI (n = 33), non-AD aMCI (n = 31), mild AD dementia (n = 28), and 30 cognitively normal older adults (CN) underwent cognitive assessment, brain MRI (n = 100 had high-quality images for volumetric analysis) and three virtual navigation tasks focused on route learning (body-centered navigation), wayfinding (world-centered navigation) and perspective taking/wayfinding. Cognitively impaired participants underwent CSF biomarker assessment [amyloid-β(1–42), total tau, and phosphorylated tau(181) (p-tau(181))] and amyloid PET imaging (n = 47 and n = 45, respectively), with a subset having both (n = 19). RESULTS: In route learning, AD aMCI performed worse than non-AD aMCI (p < 0.001), who performed similarly to CN. In wayfinding, aMCI participants performed worse than CN (both p ≤ 0.009) and AD aMCI performed worse than non-AD aMCI in the second task session (p = 0.032). In perspective taking/wayfinding, aMCI participants performed worse than CN (both p ≤ 0.001). AD aMCI and non-AD aMCI did not differ in conventional cognitive tests. Route learning was associated with parietal thickness and amyloid-β(1–42), wayfinding was associated with posterior medial temporal lobe (MTL) volume and p-tau(181) and perspective taking/wayfinding was correlated with MRI measures of several brain regions and all CSF biomarkers. CONCLUSION: AD biomarker positive and negative older adults with aMCI had different profiles of spatial navigation deficits that were associated with posterior MTL and parietal atrophy and reflected AD pathology. |
format | Online Article Text |
id | pubmed-9201637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92016372022-06-17 Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment Laczó, Martina Martinkovic, Lukas Lerch, Ondrej Wiener, Jan M. Kalinova, Jana Matuskova, Veronika Nedelska, Zuzana Vyhnalek, Martin Hort, Jakub Laczó, Jan Front Aging Neurosci Aging Neuroscience BACKGROUND: Spatial navigation impairment is a promising cognitive marker of Alzheimer’s disease (AD) that can reflect the underlying pathology. OBJECTIVES: We assessed spatial navigation performance in AD biomarker positive older adults with amnestic mild cognitive impairment (AD aMCI) vs. those AD biomarker negative (non-AD aMCI), and examined associations between navigation performance, MRI measures of brain atrophy, and cerebrospinal fluid (CSF) biomarkers. METHODS: A total of 122 participants with AD aMCI (n = 33), non-AD aMCI (n = 31), mild AD dementia (n = 28), and 30 cognitively normal older adults (CN) underwent cognitive assessment, brain MRI (n = 100 had high-quality images for volumetric analysis) and three virtual navigation tasks focused on route learning (body-centered navigation), wayfinding (world-centered navigation) and perspective taking/wayfinding. Cognitively impaired participants underwent CSF biomarker assessment [amyloid-β(1–42), total tau, and phosphorylated tau(181) (p-tau(181))] and amyloid PET imaging (n = 47 and n = 45, respectively), with a subset having both (n = 19). RESULTS: In route learning, AD aMCI performed worse than non-AD aMCI (p < 0.001), who performed similarly to CN. In wayfinding, aMCI participants performed worse than CN (both p ≤ 0.009) and AD aMCI performed worse than non-AD aMCI in the second task session (p = 0.032). In perspective taking/wayfinding, aMCI participants performed worse than CN (both p ≤ 0.001). AD aMCI and non-AD aMCI did not differ in conventional cognitive tests. Route learning was associated with parietal thickness and amyloid-β(1–42), wayfinding was associated with posterior medial temporal lobe (MTL) volume and p-tau(181) and perspective taking/wayfinding was correlated with MRI measures of several brain regions and all CSF biomarkers. CONCLUSION: AD biomarker positive and negative older adults with aMCI had different profiles of spatial navigation deficits that were associated with posterior MTL and parietal atrophy and reflected AD pathology. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9201637/ /pubmed/35721017 http://dx.doi.org/10.3389/fnagi.2022.886778 Text en Copyright © 2022 Laczó, Martinkovic, Lerch, Wiener, Kalinova, Matuskova, Nedelska, Vyhnalek, Hort and Laczó. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience Laczó, Martina Martinkovic, Lukas Lerch, Ondrej Wiener, Jan M. Kalinova, Jana Matuskova, Veronika Nedelska, Zuzana Vyhnalek, Martin Hort, Jakub Laczó, Jan Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title | Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title_full | Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title_fullStr | Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title_full_unstemmed | Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title_short | Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment |
title_sort | different profiles of spatial navigation deficits in alzheimer’s disease biomarker-positive versus biomarker-negative older adults with amnestic mild cognitive impairment |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201637/ https://www.ncbi.nlm.nih.gov/pubmed/35721017 http://dx.doi.org/10.3389/fnagi.2022.886778 |
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