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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576452/ https://www.ncbi.nlm.nih.gov/pubmed/34764850 http://dx.doi.org/10.3389/fnins.2021.728874 |
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author | Chen, Yuna Pan, Yongsheng Kang, Shangyu Lu, Junshen Tan, Xin Liang, Yi Lyu, Wenjiao Li, Yifan Huang, Haoming Qin, Chunhong Zhu, Zhangzhi Li, Saimei Qiu, Shijun |
author_facet | Chen, Yuna Pan, Yongsheng Kang, Shangyu Lu, Junshen Tan, Xin Liang, Yi Lyu, Wenjiao Li, Yifan Huang, Haoming Qin, Chunhong Zhu, Zhangzhi Li, Saimei Qiu, Shijun |
author_sort | Chen, Yuna |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8576452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85764522021-11-10 Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging Chen, Yuna Pan, Yongsheng Kang, Shangyu Lu, Junshen Tan, Xin Liang, Yi Lyu, Wenjiao Li, Yifan Huang, Haoming Qin, Chunhong Zhu, Zhangzhi Li, Saimei Qiu, Shijun Front Neurosci Neuroscience 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. Frontiers Media S.A. 2021-10-26 /pmc/articles/PMC8576452/ /pubmed/34764850 http://dx.doi.org/10.3389/fnins.2021.728874 Text en Copyright © 2021 Chen, Pan, Kang, Lu, Tan, Liang, Lyu, Li, Huang, Qin, Zhu, Li and Qiu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Chen, Yuna Pan, Yongsheng Kang, Shangyu Lu, Junshen Tan, Xin Liang, Yi Lyu, Wenjiao Li, Yifan Huang, Haoming Qin, Chunhong Zhu, Zhangzhi Li, Saimei Qiu, Shijun Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging |
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 | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576452/ https://www.ncbi.nlm.nih.gov/pubmed/34764850 http://dx.doi.org/10.3389/fnins.2021.728874 |
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