Identifying the characteristics of brain glucose metabolism using normal 18F-FDG PET database in patients with temporal lobe epilepsy

2020 ◽  
Vol 41 (11) ◽  
pp. 3219-3226
Author(s):  
Kun Guo ◽  
Yixin Wei ◽  
Menghui Yuan ◽  
Longxiao Wei ◽  
Jie Lu
2021 ◽  
Vol 10 (7) ◽  
pp. 1532
Author(s):  
Eleni Rebelos ◽  
Juha O. Rinne ◽  
Pirjo Nuutila ◽  
Laura L. Ekblad

Imaging brain glucose metabolism with fluorine-labelled fluorodeoxyglucose ([18F]-FDG) positron emission tomography (PET) has long been utilized to aid the diagnosis of memory disorders, in particular in differentiating Alzheimer’s disease (AD) from other neurological conditions causing cognitive decline. The interest for studying brain glucose metabolism in the context of metabolic disorders has arisen more recently. Obesity and type 2 diabetes—two diseases characterized by systemic insulin resistance—are associated with an increased risk for AD. Along with the well-defined patterns of fasting [18F]-FDG-PET changes that occur in AD, recent evidence has shown alterations in fasting and insulin-stimulated brain glucose metabolism also in obesity and systemic insulin resistance. Thus, it is important to clarify whether changes in brain glucose metabolism are just an epiphenomenon of the pathophysiology of the metabolic and neurologic disorders, or a crucial determinant of their pathophysiologic cascade. In this review, we discuss the current knowledge regarding alterations in brain glucose metabolism, studied with [18F]-FDG-PET from metabolic disorders to AD, with a special focus on how manipulation of insulin levels affects brain glucose metabolism in health and in systemic insulin resistance. A better understanding of alterations in brain glucose metabolism in health, obesity, and neurodegeneration, and the relationships between insulin resistance and central nervous system glucose metabolism may be an important step for the battle against metabolic and cognitive disorders.


2019 ◽  
Vol 270 (7) ◽  
pp. 881-891 ◽  
Author(s):  
Qi Huang ◽  
Shuhua Ren ◽  
Donglang Jiang ◽  
Yihui Guan ◽  
Fang Xie ◽  
...  

2012 ◽  
Vol 54 (1) ◽  
pp. 132-138 ◽  
Author(s):  
M. F. Alf ◽  
M. T. Wyss ◽  
A. Buck ◽  
B. Weber ◽  
R. Schibli ◽  
...  

2018 ◽  
Vol 57 ◽  
pp. 20-25 ◽  
Author(s):  
Tomohiro Yamaki ◽  
Yoshio Uchino ◽  
Haruko Henmi ◽  
Mizuho Kamezawa ◽  
Miyoko Hayakawa ◽  
...  

Neuroscience ◽  
2019 ◽  
Vol 417 ◽  
pp. 35-44 ◽  
Author(s):  
Jingjing Su ◽  
Qi Huang ◽  
Shuhua Ren ◽  
Fang Xie ◽  
Yu Zhai ◽  
...  

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