| Title |
Validation of abnormal glucose metabolism associated with Parkinson’s disease in Chinese participants based on 18F-fluorodeoxyglucose positron emission tomography imaging
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2018
|
| DOI | 10.2147/ndt.s167548 |
| Pubmed ID | |
| Authors |
Rongbing Jin, Jingjie Ge, Ping Wu, Jiaying Lu, Huiwei Zhang, Jian Wang, Jianjun Wu, Xianhua Han, Weishan Zhang, Chuantao Zuo |
| Abstract |
We previously identified disease-related cerebral metabolic characteristics associated with Parkinson's disease (PD) in the Chinese population using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) imaging. The present study aims to assess data reproducibility and robustness of the metabolic activity characteristics across independent cohorts. Forty-eight patients with PD and 48 healthy controls from Chongqing district, in addition to 33 patients with PD and 33 healthy controls from Shanghai district were recruited. Each subject underwent brain 18F-FDG PET/CT imaging in a resting state. Based on the brain images, differences between the groups and PD-related cerebral metabolic activities were graphically and quantitatively evaluated. Both PD patient cohorts exhibited analogous cerebral patterns characterized by metabolic increase in the putamen, globus pallidus, thalamus, pons, sensorimotor cortex and cerebellum, along with metabolic decrease in parieto-occipital areas. Additionally, the metabolic pattern was highly indicative of the disease, with a significant elevation in PD patients compared with healthy controls (p<0.001) in both the derivation (Shanghai) and validation (Chongqing) cohorts. This dual-center study demonstrated the high comparability and reproducibility of PD-related cerebral metabolic activity patterns across independent Chinese cohorts and may serve as an objective diagnostic marker for the disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Student > Postgraduate | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Researcher | 2 | 11% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 22% |
| Neuroscience | 3 | 17% |
| Medicine and Dentistry | 2 | 11% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#299,007
of 341,886 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#48
of 79 outputs
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