Changes in subcortical white matter and corpus callosum volumes in patients with type II diabetes mellitus

Acta Academiae Medicinae Sinicae

Volumn 35, Issue 5, 2013, Pages 503-514

  Chen, Zhi Ye ^a   Li, Jin Feng ^a   Sun, Jie ^a   Ma, Lin ^a  

^a CHINESE PLA GENERAL HOSPITAL   (China)

Author keywords

Brain; Corpus callosum; Magnetic resonance imaging; Type II diabetes mellitus; White matter

Indexed keywords

ARTICLE; BRAIN REGION; BRAIN SIZE; CLINICAL ARTICLE; CONTROLLED STUDY; CORPUS CALLOSUM; FOLLOW UP; FRONTAL LOBE; HUMAN; LEFT MEDIAL ORBITOFRONTAL LOBE; LEFT TRANSVERSE TEMPORAL LOBE; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE IMAGING; RIGHT CAUDAL MIDDLE FRONTAL LOBE; RIGHT INFERIOR PARIETAL LOBE; RIGHT INFERIOR TEMPORAL LOBE; RIGHT LINGUAL LOBE; RIGHT MIDDLE TEMPORAL LOBE; STUDENT T TEST; SUBCORTICAL WHITE MATTER; TEMPORAL LOBE; VOLUMETRY; WHITE MATTER;

AGED; CASE-CONTROL STUDIES; CORPUS CALLOSUM; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PLETHYSMOGRAPHY;

EID: 84890104062     PISSN: 1000503X     EISSN: None     Source Type: Journal    
DOI: 10.3881/j.issn.1000-503X.2013.05.005     Document Type: Article

References (21)

1. Cukierman T, Gerstein HC, Williamson JD. Cognitive decline and dementia in diabetes-systematic overview of prospective observational studies [J]. Diabetologia, 2005, 48(12): 2460-2469. (Pubitemid 41738208)
2. Chen Z, Li L, Sun J, et al. Mapping the brain in type II diabetes: voxel-based morphometry using DARTEL [J]. Eur J Radiol, 2012, 81(8): 1870-1876.
3. Manolio TA, Kronmal RA, Burke GL, et aL Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study [J]. Stroke, 1994, 25(2): 318-327.
4. Galea M, Woodward M. Mini-mental state examination (MMSE) [J]. Aust J Physiother, 2005, 51(3): 198.
5. Salat DH, Greve DN, Pacheco JL, et al. Regional white matter volume differences in nondemented aging and Alzheimer's disease[J]. Neuroimage, 2009, 44(4): 1247-1258.
6. Allen KV, Frier BM, Strachan MW. The relationship between type 2 diabetes and cognitive dysfunction: longitudinal studies and their methodological limitations [J]. Eur J Pharmacol, 2004, 490(1-3): 169-175. (Pubitemid 38482170)
7. Manschot SM, Brands AM, van der Grond J, et al. Brain magnetic resonance imaging correlates of impaired cognition in patients with type 2 diabetes [J]. Diabetes, 2006, 55(4): 1106-1113. (Pubitemid 44100188)
8. van Harten B, de Leeuw FE, Weinstein HC, et al. Brain imaging in patients with diabetes: a systematic review [J]. Diabetes Care, 2006, 29(11): 2539-2548. (Pubitemid 44912267)
9. Scheltens P, Pasquier F, Weerts JG, et al. Qualitative assessment of cerebral atrophy on MRI: inter-and intra-observer reproducibility in dementia and normal aging [J]. Eur Neurol, 1997, 37(2): 95-99. (Pubitemid 27077809)
10. Knopman DS, Mosley TH, Catellier DJ, et al. Cardiovascular risk factors and cerebral atrophy in a middle-aged cohort [J]. Neurology, 2005, 65(6): 876-881. (Pubitemid 41362133)
11. Gold SM, Dziobek I, Sweat V, et al. Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes [J]. Diabetologia, 2007, 50(4): 711-719. (Pubitemid 46355836)
12. Fischl B, Liu A, Dale A, et al. Automated manifold surgery: constructing geometrically accurate andtopologically correct models of the human cerebral cortex [J]. IEEE Trans Med Imaging, 2001, 20(1): 70-80. (Pubitemid 32293421)
13. Desikan RS, Segonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest [J]. Neuroimage, 2006, 31(3): 968-980. (Pubitemid 44183792)
14. Fischl B, Salat DH, Busa E, et al. Whole brain segmentation; automated labeling of neuroanatomical structures in the human brain [J]. Neuron, 2002, 33(3): 341-355. (Pubitemid 34162530)
15. Buckner RL, Head D, Parker J, et al. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume [J]. Neuroimage, 2004, 23(2): 724-738. (Pubitemid 39370623)
16. Zhao W, Chen H, Xu H, et al. Brain insulin receptors and spatial memory. Correlated changes in gene expression, tyrosine phosphorylation, and signaling molecules in the hippocampus of water maze trained rats [J]. J Biol Chem, 1999, 274(49): 34893-34902. (Pubitemid 129509536)
17. Zhao WQ, Alkon DL. Role of insulin and insulin receptor in learning and memory [J]. Mol Cell Endocrinol, 2001, 177(1-2): 125-134. (Pubitemid 32506813)
18. Dou JT, Chen M, Dufour F, et al. Insulin receptor signaling in long-term memory consolidation following spatial learning [J]. Learn Mem, 2005, 12(6): 646-655. (Pubitemid 41770090)
19. Appelhans BM, Whited MC, Schneider KL, et al. Time to abandon the notion of personal choice in dietary counseling for obesity? [J]. J Am Diet Assoc, 2011, 111(8): 1130-1136.
20. Glickstein M, Whitteridge D. Degeneration of layer III pyramidal cells in area 18 following destruction of callosal input [J]. Brain Res, 1976, 104(1): 148-151.
21. Jacobson S, Trojanowski JQ. Prefrontal granular cortex of the rhesus monkey. II. Interhemispheric cortical afferents [J]. Brain Res, 1977, 132(2): 235-246. (Pubitemid 8159409)