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Different Patterns of Gray Matter Volume Reduction in Early-onset and Late-onset Alzheimer Disease

Authors :
Satoshi Kuwabara
Kazuho Kojima
Yoshikazu Nakano
Yoshikazu Chishiki
Toru Sakurai
Hongliang Li
Hiroki Mukai
Shigeki Hirano
Atsuhiko Sugiyama
Source :
Cognitive and Behavioral Neurology. 33:253-258
Publication Year :
2020
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2020.

Abstract

Background Individuals with early-onset Alzheimer disease (EOAD) differ from those with late-onset Alzheimer disease (LOAD) not only in genetics and age at onset but also in their clinical symptoms. Objective To differentiate the neuropathological and neurocognitive features of EOAD and LOAD by comparing the pattern of regional gray matter volume (GMV) reduction and its symptomatic correlates. Method Three-dimensional T1-weighted MRIs and Mini-Mental State Examination (MMSE) scores were obtained from 12 individuals with EOAD, 65 with LOAD, and 49 healthy controls (HC). Regional GMV reduction between the three groups was assessed using voxel-based morphometry. Multiple regression analyses were conducted with MMSE total score as an independent variable. Results Compared to the HC, both AD groups showed a significant GMV reduction in the bilateral hippocampus and the left temporoparietal junction; in addition, the LOAD group showed one in the bilateral anterior temporal lobes. Multiple regression analyses revealed a positive correlation between MMSE total score and GMV in the left anterior temporal lobe in both AD groups; that is, lower scores were associated with reduced GMV. Interestingly, a positive correlation in hippocampal GMV was revealed only in the LOAD group. Conclusion MMSE total score is associated with the anterior temporal lobe volume in individuals with AD. Hippocampal volume and its relationship with MMSE total score are associated with LOAD pathophysiology but not EOAD pathophysiology. The hippocampal volume reduction and low MMSE scores are hallmarks of LOAD but are less specific to EOAD, which may cause a delay in diagnosis.

Details

ISSN :
15433633
Volume :
33
Database :
OpenAIRE
Journal :
Cognitive and Behavioral Neurology
Accession number :
edsair.doi.dedup.....293ae365cc3c352181e55009179ebc74
Full Text :
https://doi.org/10.1097/wnn.0000000000000245