Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging
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 (M...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2021.728874/full |
| _version_ | 1818586972978937856 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Yuna Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T09:01:28Z |
| format | Article |
| id | doaj.art-a4338eee31664629994b72252589d47f |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-16T09:01:28Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-a4338eee31664629994b72252589d47f2022-12-21T22:37:10ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-10-011510.3389/fnins.2021.728874728874Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance ImagingYuna Chen0Yuna Chen1Yongsheng Pan2Yongsheng Pan3Shangyu Kang4Junshen Lu5Xin Tan6Yi Liang7Wenjiao Lyu8Yifan Li9Haoming Huang10Chunhong Qin11Zhangzhi Zhu12Saimei Li13Shijun Qiu14Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaPostdoctoral Research Station, Guangzhou University of Chinese Medicine, Guangzhou, ChinaSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, ChinaSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaGuangxi School of Traditional Chinese Medicine, Nanning, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDiabetes 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.https://www.frontiersin.org/articles/10.3389/fnins.2021.728874/fulltype 2 diabetes mellituscognitive impairmentmachine learningmedical imagestructural MRI |
| spellingShingle | 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 Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging Frontiers in Neuroscience type 2 diabetes mellitus cognitive impairment machine learning medical image structural MRI |
| title | Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
| title_full | Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
| title_fullStr | Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
| title_full_unstemmed | Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
| title_short | Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
| title_sort | identifying type 2 diabetic brains by investigating disease related structural changes in magnetic resonance imaging |
| topic | type 2 diabetes mellitus cognitive impairment machine learning medical image structural MRI |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2021.728874/full |
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