AI Article Synopsis

  • The study investigates the distribution and clustering of amyloid buildup and glucose metabolism in Alzheimer's disease (AD) using PET data from 68 AD patients and 20 cognitively healthy individuals.* -
  • Key findings include that regions with high amyloid binding also showed high glucose metabolism, with the most significant amyloid changes in frontal and temporal areas, while the greatest hypometabolism occurred in parietal and temporal regions.* -
  • The researchers identified three hierarchical clusters for amyloid and five for glucose metabolism, highlighting interconnections between different brain areas, with positive correlations within similar sub-networks and a negative correlation between amyloid and metabolism sub-networks.*

Article Abstract

Increased amyloid burden and decreased glucose metabolism are important characteristics of Alzheimer's disease (AD), but their spatial distribution and hierarchical clustering organization are still poorly understood. In this study, we explored the distribution and clustering organization of amyloid and glucose metabolism based on F-florbetapir and F-fluorodeoxyglucose PET data from 68 AD patients and 20 cognitively normal individuals. We found that: (i) cortical regions with highest florbetapir binding were the regions with high glucose metabolism; (ii) the percentage changes of amyloid deposition were greatest in the frontal and temporal areas, and the hypometabolism was greatest in the parietal and temporal areas; (iii) brain areas can be divided into three hierarchical clusters by amyloid and into five clusters by metabolism using a hierarchical clustering approach, indicating that adjacent regions are more likely to be grouped into one sub-network; and (iv) there was a significant positive correlation in any pair of amyloid-amyloid and metabolism-metabolism sub-networks, and a significant negative correlation in amyloid-metabolism sub-networks. This may suggest that the influence forms and brain regions of AD on different pathological markers may not be synchronous, but they are closely related.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207533PMC
http://dx.doi.org/10.3389/fnagi.2022.788567DOI Listing

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