摘要
Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “Altered Dynamics of Brain Spontaneous Activity and Functional Networks Associated with Cognitive Impairment in Patients with Type 2 Diabetes” Ali Khazaee PhD, Corresponding Author Ali Khazaee PhD [email protected] orcid.org/0000-0001-8493-9602 Department of Electrical Engineering, University of Bojnord, Bojnord, Iran Address reprint requests to: A.K., Department of Electrical Engineering, University of Bojnord, Bojnord, Iran. E-mail: [email protected]Search for more papers by this authorAbdolreza Mohammadi PhD, Abdolreza Mohammadi PhD Department of Electrical Engineering, University of Bojnord, Bojnord, IranSearch for more papers by this author Ali Khazaee PhD, Corresponding Author Ali Khazaee PhD [email protected] orcid.org/0000-0001-8493-9602 Department of Electrical Engineering, University of Bojnord, Bojnord, Iran Address reprint requests to: A.K., Department of Electrical Engineering, University of Bojnord, Bojnord, Iran. E-mail: [email protected]Search for more papers by this authorAbdolreza Mohammadi PhD, Abdolreza Mohammadi PhD Department of Electrical Engineering, University of Bojnord, Bojnord, IranSearch for more papers by this author First published: 27 February 2024 https://doi.org/10.1002/jmri.29318 Level of Evidence: 5 Technical Efficacy: 3 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1Ogurtsova K, da Rocha Fernandes JD, Huang Y, et al. IDF diabetes atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract 2017; 128: 40-50. 10.1016/j.diabres.2017.03.024 CASPubMedWeb of Science®Google Scholar 2Strachan MW, Reynolds RM, Marioni RE, Price JF. Cognitive function, dementia and type 2 diabetes mellitus in the elderly. Nat Rev Endocrinol 2011; 7(2): 108-114. 10.1038/nrendo.2010.228 CASPubMedWeb of Science®Google Scholar 3Meng J, Liu J, Li H, et al. Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity. Front Neuroendocrinol 2022; 66:100992. 10.1016/j.yfrne.2022.100992 CASPubMedWeb of Science®Google Scholar 4Xia W, Chen YC, Ma J. Resting-state brain anomalies in type 2 diabetes: A meta-analysis. Front Aging Neurosci 2017; 9: 14. 10.3389/fnagi.2017.00014 PubMedWeb of Science®Google Scholar 5Backeström A, Papadopoulos K, Eriksson S, et al. Acute hyperglycaemia leads to altered frontal lobe brain activity and reduced working memory in type 2 diabetes. PloS One 2021; 16(3):e0247753. 10.1371/journal.pone.0247753 PubMedWeb of Science®Google Scholar 6Fu L, Zhang W, Bi Y, et al. Altered dynamics of brain spontaneous activity and functional networks associated with cognitive impairment in patients with type 2 diabetes. J Magn Reson Imaging 2024. https://doi.org/10.1002/jmri.29306. 10.1002/jmri.29306 Google Scholar 7Warren SL, Moustafa AA. Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review. J Neuroimaging 2023; 33(1): 5-18. 10.1111/jon.13063 PubMedWeb of Science®Google Scholar 8Tan X, Wu J, Ma X, et al. Convolutional neural networks for classification of T2DM cognitive impairment based on whole brain structural features. Front Neurosci 2022; 16: 1-8. 10.3389/fnins.2022.926486 Google Scholar 9Liu Y et al. A pilot study of diabetes mellitus classification from rs-fMRI data using convolutional neural networks. Math Probl Eng 2020; 2020:1903734. Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation