Vincent Chin-Hung Chen,1.2 Yi-Chun Liu,3 SEH Huang Chao,4 Roger S McIntyre,5-7 Danielle S Cha,5.8 Yena Lee,5.6 Jun Cheng Weng2.9
1School of Medicine, Chang Gung University, Taoyuan, Taiwan; 2Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan; 3Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan; 4Surgery Center of metabolism and bariatric, the Jen-Ai Hospital, Taichung, Taiwan; 5Unit & # 39; & # 39 Psikopharmakoloġija of; Mood disorders, University Health Network, Department of Psychiatry, University & # 39; Toronto, ON, Canada; 6Medical Science Institute, University & # 39; Toronto, Toronto, ON, Canada; 7Departments of Psychiatry and Pharmacology, University & # 39; Toronto, Toronto, ON, Canada; 8The School of Medicine, University & # 39; Queensland, Queensland, Brisbane, Australia; 9Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
Scope: Obesity is a complex and multifactorjali identified as a global epidemic disease. Convergent evidence indicates that obesity influences b & # 39; way different patients & # 39; neuropsychiatric disorders provide a basis for the hypothesis that obesity alters brain structure and function associated with the propensity of mind to mood disorders and cognition. Here, we characterized alterations in brain structures and networks among obese subjects (ie, the body mass index [BMI] ≥30 kg / m2) Compared to & # 39; non-obese controls.
Patients and methods: We got the tensor imaging and diffusion of generalized non-invasive scans & # 39; & # 39 images; samples & # 39; 20 obese subjects (BMI = 37.9 ± 5.2 SD) and 30 control non-obese (BMI = 22.6 ± 3.4 SD). Theoretical analysis of graphics and statistical analysis based on the network conducted to evaluate the structural and functional differences between the groups. We also evaluated correlations between indexes of & # 39; diffusion, BMI, and anxiety and severity of depressive symptoms (ie, Hospital Analysis and Total Scale & # 39; & # 39 Scale; Depression).
results: The diffusion indexes of posterior part of the internal capsule, corona radiata and superior superior fasciculus were less b & # 39; significantly in & # 39; obese subjects compared with & # 39; controls. In addition, obese subjects were more likely to report anxiety and depressive symptoms. There were fewer connections & # 39; observed in structural network & # 39; obese subjects compared with & # 39; non-obese controls. topological measures coefficient & # 39; grouping (C), local efficiency (Elocal), The overall efficiency (Eoverall), And were significantly lower in transitività & # 39; obese subjects. Similarly, three subnetwerks identified that reduced the structural connectivity between frontal temporal regions in & # 39; obese subjects compared with & # 39; non-obese controls.
conclusion: We further extend knowledge by niddeliminaw structural alterations & # 39; interconnectivity within and across brain regions are adversely affected in & # 39; individuals who are obese.
keywords: obesity, with the tensor diffusion imaging, DTI, generalized image & # 39; q samples, GQI, graph theoretical analysis, GTA, statistical analysis based network, NBS
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