• Medientyp: E-Artikel
  • Titel: Different Profiles of Spatial Navigation Deficits In Alzheimer’s Disease Biomarker-Positive Versus Biomarker-Negative Older Adults With Amnestic Mild Cognitive Impairment
  • Beteiligte: Laczó, Martina; Martinkovic, Lukas; Lerch, Ondrej; Wiener, Jan M.; Kalinova, Jana; Matuskova, Veronika; Nedelska, Zuzana; Vyhnalek, Martin; Hort, Jakub; Laczó, Jan
  • Erschienen: Frontiers Media SA, 2022
  • Erschienen in: Frontiers in Aging Neuroscience
  • Sprache: Nicht zu entscheiden
  • DOI: 10.3389/fnagi.2022.886778
  • ISSN: 1663-4365
  • Schlagwörter: Cognitive Neuroscience ; Aging
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:sec><jats:title>Background</jats:title><jats:p>Spatial navigation impairment is a promising cognitive marker of Alzheimer’s disease (AD) that can reflect the underlying pathology.</jats:p></jats:sec><jats:sec><jats:title>Objectives</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A total of 122 participants with AD aMCI (<jats:italic>n</jats:italic> = 33), non-AD aMCI (<jats:italic>n</jats:italic> = 31), mild AD dementia (<jats:italic>n</jats:italic> = 28), and 30 cognitively normal older adults (CN) underwent cognitive assessment, brain MRI (<jats:italic>n</jats:italic> = 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<jats:sub>1–42</jats:sub>, total tau, and phosphorylated tau<jats:sub>181</jats:sub> (p-tau<jats:sub>181</jats:sub>)] and amyloid PET imaging (<jats:italic>n</jats:italic> = 47 and <jats:italic>n</jats:italic> = 45, respectively), with a subset having both (<jats:italic>n</jats:italic> = 19).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>In route learning, AD aMCI performed worse than non-AD aMCI (<jats:italic>p</jats:italic> &amp;lt; 0.001), who performed similarly to CN. In wayfinding, aMCI participants performed worse than CN (both <jats:italic>p</jats:italic> ≤ 0.009) and AD aMCI performed worse than non-AD aMCI in the second task session (<jats:italic>p</jats:italic> = 0.032). In perspective taking/wayfinding, aMCI participants performed worse than CN (both <jats:italic>p</jats:italic> ≤ 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<jats:sub>1–42</jats:sub>, wayfinding was associated with posterior medial temporal lobe (MTL) volume and p-tau<jats:sub>181</jats:sub> and perspective taking/wayfinding was correlated with MRI measures of several brain regions and all CSF biomarkers.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>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.</jats:p></jats:sec>
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