1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
Presenting Author: Xue Zhang
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1. Feng Y, Li Y, Tan X, et al. Altered Gray Matter Volume, Functional Connectivity, and Degree Centrality in Early-Onset Type 2 Diabetes Mellitus. Front Neurol. 2021;12:697349. doi:10.3389/fneur.2021.697349 [doi]
2. Redel JM, DiFrancesco M, Vannest J, et al. Brain gray matter volume differences in obese youth with type 2 diabetes: a pilot study. J Pediatr Endocrinol Metab. Mar 28 2018;31(3):261-268. doi:10.1515/jpem-2017-0349 [doi]
3. Hawrylycz M, Miller JA, Menon V, et al. Canonical genetic signatures of the adult human brain. Nat Neurosci. Dec 2015;18(12):1832-44. doi:10.1038/nn.4171 [doi]
4. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. Jul 21 2009;339:b2535. doi:10.1136/bmj.b2535 [doi]
5. Albajes-Eizagirre A, Solanes A, Vieta E, Radua J. Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM. Neuroimage. Feb 1 2019;186:174-184. doi:10.1016/j.neuroimage.2018.10.077 [doi]
6. Albajes-Eizagirre A, Solanes A, Radua J. Meta-analysis of non-statistically significant unreported effects. Stat Methods Med Res. Dec 2019;28(12):3741-3754. doi:10.1177/0962280218811349 [doi]
7. Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature. Sep 20 2012;489(7416):391-399. doi:10.1038/nature11405 [doi]
8. Arnatkeviciute A, Fulcher BD, Fornito A. A practical guide to linking brain-wide gene expression and neuroimaging data. Neuroimage. Apr 1 2019;189:353-367. doi:10.1016/j.neuroimage.2019.01.011 [doi]
9. Raudvere U, Kolberg L, Kuzmin I, et al. g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Res. Jul 2 2019;47(W1):W191-W198. doi:10.1093/nar/gkz369 [doi]
10. Dougherty JD, Schmidt EF, Nakajima M, Heintz N. Analytical approaches to RNA profiling data for the identification of genes enriched in specific cells. Nucleic Acids Res. Jul 2010;38(13):4218-30. doi:10.1093/nar/gkq130 [doi]
11. Zhang X, Lan Y, Xu J, et al. CellMarker: a manually curated resource of cell markers in human and mouse. Nucleic Acids Res. Jan 8 2019;47(D1):D721-D728. doi:10.1093/nar/gky900 [doi]
12. Chen Z, Li L, Sun J, Ma L. Mapping the brain in type II diabetes: Voxel-based morphometry using DARTEL. Eur J Radiol. Aug 2012;81(8):1870-6. doi:10.1016/j.ejrad.2011.04.025 [doi]
13. Garcia-Casares N, Berthier ML, Jorge RE, et al. Structural and functional brain changes in middle-aged type 2 diabetic patients: a cross-sectional study. J Alzheimers Dis. 2014;40(2):375-86. doi:10.3233/JAD-131736 [doi]
14. Nouwen A, Chambers A, Chechlacz M, et al. Microstructural abnormalities in white and gray matter in obese adolescents with and without type 2 diabetes. Neuroimage Clin. 2017;16:43-51. doi:10.1016/j.nicl.2017.07.004 [doi]
15. Wang C, Fu K, Liu H, Xing F, Zhang S. Brain structural changes and their correlation with vascular disease in type 2 diabetes mellitus patients: a voxel-based morphometric study. Neural Regen Res. Aug 15 2014;9(16):1548-56. doi:10.4103/1673-5374.139482 [doi]
16. Wang YF, Kong X, Lu GM, Zhang LJ. Diabetes Mellitus is Associated with More Severe Brain Spontaneous Activity Impairment and Gray Matter Loss in Patients with Cirrhosis. Sci Rep. Aug 10 2017;7(1):7775. doi:10.1038/s41598-017-08075-x [doi]
17. Zhang Y, Zhang X, Zhang J, et al. Gray matter volume abnormalities in type 2 diabetes mellitus with and without mild cognitive impairment. Neurosci Lett. Mar 6 2014;562:1-6. doi:10.1016/j.neulet.2014.01.006 [doi]
18. Zhang D, Shi L, Song X, et al. Neuroimaging endophenotypes of type 2 diabetes mellitus: a discordant sibling pair study. Quant Imaging Med Surg. Jun 2019;9(6):1000-1013. doi:10.21037/qims.2019.05.18 [doi]
19. Moran C, Phan TG, Chen J, et al. Brain atrophy in type 2 diabetes: regional distribution and influence on cognition. Diabetes Care. Dec 2013;36(12):4036-42. doi:10.2337/dc13-0143 [doi]
20. Ferreira FS, Pereira JMS, Duarte JV, Castelo-Branco M. Extending Inferential Group Analysis in Type 2 Diabetic Patients with Multivariate GLM Implemented in SPM8. Open Neuroimag J. 2017;11:32-45. doi:10.2174/1874440001711010032 [doi]