Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control.
Danyan ChenJia-Ying LuHucheng ZhouJie-Hui JiangPing WuQihao GuoJingjie GeHuiwei ZhangKuangyu ShiChuantao ZuoPublished in: Behavioural neurology (2018)
Dementia with Lewy bodies (DLB) is the second most common degenerative dementia of the central nervous system. The technique 18F-fluorodeoxyglucose positron emission tomography (18F FDG PET) was used to investigate brain metabolism patterns in DLB patients. Conventional statistical methods did not consider intern metabolism transforming connections between various brain regions; therefore, most physicians do not understand the underlying neuropathology of DLB patients. In this study, 18F FDG-PET images and graph-theoretical methods were used to investigate alterations in whole-brain intrinsic functional connectivity in a Chinese DLB group and healthy control (HC) group. This experimental study was performed on 22 DLB patients and 22 HC subjects in Huashan Hospital, Shanghai, China. Experimental results indicate that compared with the HC group, the DLB group has severely impaired small-world network. Compared to those of the HC group, the clustering coefficients of the DLB group were higher and characteristic path lengths were longer, and in terms of global efficiencies, those of the DLB group was also lower. Moreover, four significantly altered regions were observed in the DLB group: Inferior frontal gyrus, opercular part (IFG.R), olfactory cortex (OLF.R), hippocampus (HIP.R), and fusiform gyrus (FFG.L). Amongst them, in the DLB group, betweenness centrality became strong in OLF.R, HIP.R, and FFG.L, whereas betweenness centrality became weaker in IFG.R. Finally, IFGoperc.R was selected as a seed and a voxel-wise correlation analysis was performed. Compared to the HC group, the DLB group showed several regions of strengthened connection with IFGoperc.R; these regions were located in the prefrontal cortex and regions of weakened connection were located in the occipital cortex. The results of this paper may help physicians to better understand and characterize DLB patients.
Keyphrases
- positron emission tomography
- functional connectivity
- end stage renal disease
- resting state
- computed tomography
- ejection fraction
- chronic kidney disease
- newly diagnosed
- pet ct
- healthcare
- primary care
- peritoneal dialysis
- pet imaging
- prognostic factors
- prefrontal cortex
- metabolic syndrome
- blood pressure
- patient reported outcomes
- multiple sclerosis
- type diabetes
- deep learning
- optical coherence tomography
- adipose tissue
- convolutional neural network
- total hip arthroplasty
- rna seq
- cerebrospinal fluid