Neurodegenerative Patterns of Cognitive Clusters of Early-Onset Alzheimer's Disease Subjects: Evidence for Disease Heterogeneity
- PMID: 31901905
- PMCID: PMC7031037
- DOI: 10.1159/000504341
Neurodegenerative Patterns of Cognitive Clusters of Early-Onset Alzheimer's Disease Subjects: Evidence for Disease Heterogeneity
Abstract
Background/aims: Alzheimer's disease (AD) with onset before 65 (early-onset AD [EOAD]) occurs in approximately 6% of cases and can affect nonmemory domains. Here, we analyze patterns of impairment in amnestic EOAD individuals using data-driven statistical analyses.
Methods: Cognitive data of 146 EOAD subjects were Z-normalized to 395 cognitively normal (CN) individuals. Domain-averaged Z-scores were adjusted for age, sex, and education followed by Wald cluster analysis of residuals. Magnetic resonance imaging and positron emission tomography comparisons of EOAD clusters to age-matched CN were done using Statistic Parametric Mapping 8. Cluster-level-family-wise error (p < 0.05) correction was applied. Mixed-effect models were used to compute longitudinal change across clusters.
Results: Scree plot using the pseudo-T-squared suggested a 4-cluster solution. Cluster 1 (memory-predominant impairment) showed atrophy/hypometabolism in medial/lateral temporal, lateral parietal, and posterior cingulate regions. Cluster 2 (memory/visuospatial-predominant) showed atrophy/hypometabolism of medial temporal, temporoparietal, and frontal cortices. Cluster 3 (memory, language, and executive function) and Cluster 4 (globally impaired) manifested atrophy and hypometabolism throughout the brain. Longitudinally between-cluster differences in the visuospatial and language/executive domains were significant, suggesting phenotypic variation.
Conclusion: We observed significant heterogeneity in cognitive presentation among amnestic EOAD subjects and patterns of atrophy/hypometabolism in each cluster in agreement with the observed cognitive phenotype.
Keywords: Cognition; Cognitive patterns; Early-onset Alzheimer’s disease; Heterogeneity; Magnetic resonance imaging; Positron emission tomography.
© 2020 S. Karger AG, Basel.
Conflict of interest statement
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References
-
- Alzheimer’s Association. 2017 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia 2017;13(4):325–73. - PubMed
-
- Koedam EL, Lauffer V, van der Vlies AE, van der Flier WM, Scheltens P, Pijnenburg YA: Early-versus late-onset Alzheimer’s disease: more than age alone. J Alzheimers Dis 2010;19:1401–1408. - PubMed
-
- Ye BS, Seo SW, Lee Y, Kim SY, Choi SH, Lee YM, Kim DH, Han HJ, Na DL, Kim EJ: Neuropsychological Performance and Conversion to Alzheimer’s Disease in Early- Compared to Late-Onset Amnestic Mild Cognitive Impairment: CREDOS Study. Dementia and Geriatric Cognitive Disorders 2012;34:156–166. - PubMed
-
- van der Flier WM, Pijnenburg YAL, Fox NC, Scheltens P: Early-onset versus late-onset Alzheimer’s disease: the case of the missing APOE epsilon 4 allele. Lancet Neurol 2011;10:280–288. - PubMed