Retrospective Study
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Feb 15, 2022; 13(2): 110-125
Published online Feb 15, 2022. doi: 10.4239/wjd.v13.i2.110
Large-scale functional connectivity predicts cognitive impairment related to type 2 diabetes mellitus
An-Ping Shi, Ying Yu, Bo Hu, Yu-Ting Li, Wen Wang, Guang-Bin Cui
An-Ping Shi, Ying Yu, Bo Hu, Yu-Ting Li, Wen Wang, Guang-Bin Cui, Department of Radiology, Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, The Affiliated Tangdu Hospital of Air Force Medical University (Fourth Military Medical University), Xi'an 710038, Shaanxi Province, China
Author contributions: Shi AP performed the data analysis, wrote the draft, conceived and designed the experiments, and rewrote some paragraphs in the introduction and discussion sections; Yu Y, Hu B, Li YT and Wang W obtained grants, conducted the experiments, and contributed to the writing and revision of the manuscript; Cui GB supervised the project, reviewed and edited the manuscript, and managed the submission process; all authors read, revised, and approved the final version of the manuscript.
Supported by the National Natural Science Foundation of China, No. 81771815.
Institutional review board statement: This research program was reviewed and approved by Ethics Committee of Tangdu Hospital.
Informed consent statement: Written informed consent was obtained from all participants before the experiment began.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Guang-Bin Cui, BMed, Doctor, PhD, Academic Research, Chief Doctor, Chief Physician, Professor, Research Dean, Department of Radiology, The Affiliated Tangdu Hospital of Air Force Medical University, No. 569 Xinsi Road, Xi'an 710038, Shaanxi Province, China. cuigbtd@163.com
Received: August 23, 2021
Peer-review started: August 23, 2021
First decision: December 4, 2021
Revised: December 10, 2021
Accepted: January 6, 2022
Article in press: January 6, 2022
Published online: February 15, 2022
Core Tip

Core Tip: Large-scale functional connectivity (LSFC) patterns show unique characteristics. Abnormal LSFC patterns have been observed in patients with dementia or mild cognitive impairment. Patients with diabetes may develop mild cognitive impairment that could potentially progress to dementia. We assessed the applicability of LSFC-related discriminative features to predict the cognitive level of patients with type 2 diabetes mellitus using a connectome-based predictive modeling and support vector machine. We found that the application of these two techniques, based on LSFC patterns, to predict neurocognitive abilities, can complement conventional neurocognitive assessments and aid the management of type 2 diabetes mellitus.