Effects of glucose, insulin, and insulin resistance on cerebral 18F-FDG distribution in cognitively normal older subjects.
Kenji IshibashiAirin OnishiYoshinori FujiwaraKiichi IshiwataKenji IshiiPublished in: PloS one (2017)
This study suggests that, of the three parameters, plasma glucose levels have the greatest effect on the appearance of the AD-like pattern in 18F-FDG images.
Keyphrases
- insulin resistance
- type diabetes
- pet ct
- pet imaging
- positron emission tomography
- blood glucose
- deep learning
- glycemic control
- physical activity
- subarachnoid hemorrhage
- metabolic syndrome
- cognitive decline
- convolutional neural network
- high fat diet
- optical coherence tomography
- polycystic ovary syndrome
- community dwelling
- machine learning
- weight loss
- high fat diet induced