期刊
NEUROBIOLOGY OF AGING
卷 59, 期 -, 页码 184-196出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2017.08.009
关键词
Sporadic early-onset Alzheimer's disease; Metabolism; Positron emission tomography; Atrophy regression; Cognition; Nonparametric permutation analysis
资金
- Siemens Healthineers as part of a French CIFRE
Until now, hypometabolic patterns and their correlations with neuropsychological performance have not been assessed as a function of the various presentations of sporadic early-onset Alzheimer's disease (EOAD). Here, we processed and analyzed the patients' metabolic maps at the vertex and voxel levels by using a nonparametric, permutation method that also regressed out the effects of cortical thickness and gray matter volume, respectively. The hypometabolism patterns in several areas of the brain were significantly correlated with the clinical manifestations. These areas included the paralimbic regions for typical presentations of sporadic EOAD. For atypical presentations, the hypometabolic regions included Broca's andWernicke's areas and the pulvinar in language forms, bilateral primary and higher processing visual regions (with right predominance) in visuospatial forms, and the bilateral prefrontal cortex in executive forms. Similar hypometabolism patterns were also observed in a correlation analysis of the F-18-FDG PET data versus domain-specific, neuropsychological test scores. These heterogeneities might reflect different underlying pathophysiological processes in particular clinical presentations of sporadic EOAD and should be taken into account in future longitudinal and therapeutic studies. (C) 2017 Elsevier Inc. All rights reserved.
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