Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging

Yuna Chen; Yuna Chen; Yongsheng Pan; Yongsheng Pan; Shangyu Kang; Junshen Lu; Xin Tan; Yi Liang; Wenjiao Lyu; Yifan Li; Haoming Huang; Chunhong Qin; Zhangzhi Zhu; Saimei Li; Shijun Qiu

doi:10.3389/fnins.2021.728874

Frontiers in Neuroscience (Oct 2021)

Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging

Yuna Chen,
Yuna Chen,
Yongsheng Pan,
Yongsheng Pan,
Shangyu Kang,
Junshen Lu,
Xin Tan,
Yi Liang,
Wenjiao Lyu,
Yifan Li,
Haoming Huang,
Chunhong Qin,
Zhangzhi Zhu,
Saimei Li,
Shijun Qiu

Affiliations

Yuna Chen: Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Yuna Chen: Postdoctoral Research Station, Guangzhou University of Chinese Medicine, Guangzhou, China
Yongsheng Pan: School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
Yongsheng Pan: School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China
Shangyu Kang: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Junshen Lu: Guangxi School of Traditional Chinese Medicine, Nanning, China
Xin Tan: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Yi Liang: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Wenjiao Lyu: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Yifan Li: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Haoming Huang: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Chunhong Qin: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Zhangzhi Zhu: Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Saimei Li: Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Shijun Qiu: Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

DOI: https://doi.org/10.3389/fnins.2021.728874
Journal volume & issue: Vol. 15

Abstract

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Diabetes with high blood glucose levels may damage the brain nerves and thus increase the risk of dementia. Previous studies have shown that dementia can be reflected in altered brain structure, facilitating computer-aided diagnosis of brain diseases based on structural magnetic resonance imaging (MRI). However, type 2 diabetes mellitus (T2DM)-mediated changes in the brain structures have not yet been studied, and only a few studies have focused on the use of brain MRI for automated diagnosis of T2DM. Hence, identifying MRI biomarkers is essential to evaluate the association between changes in brain structure and T2DM as well as cognitive impairment (CI). The present study aims to investigate four methods to extract features from MRI, characterize imaging biomarkers, as well as identify subjects with T2DM and CI.

Published in Frontiers in Neuroscience

ISSN: 1662-4548 (Print); 1662-453X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: http://www.frontiersin.org/neuroscience

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Abstract

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