Mapping the brain in type II diabetes: Voxel-based morphometry using DARTEL.
作者： Zhiye Chen , Lin Li , Jie Sun , Lin Ma
DOI: 10.1016/J.EJRAD.2011.04.025
关键词:
摘要: Abstract Purpose To investigate the pattern of brain volume changes in patients with type II diabetes mellitus using voxel-based morphometry. Material and methods Institutional ethics approval informed consent were obtained. VBM based on high resolution three-dimensional T1-weighted fast spoiled gradient recalled echo MRI images was obtained from 16 (mean age 61.2 years) normal controls 59.6 years). All spatially preprocessed Diffeomorphic Anatomical Registration Exponentiated Lie algebra (DARTEL) algorithm, DARTEL templates made 100 subjects. Statistical parametric mapping generated analysis covariance (ANCOVA). Results An atrophy gray matter seen compared that involved right superior, middle, inferior temporal gyri, precentral gyrus, left rolandic operculum region. The loss white observed lobe frontal triangle ROI revealed significant lower than ( P Conclusion This work demonstrated mainly exhibited lobe, this finding supported could lead to subtle diabetic structural without dementia or macrovascular complications.
elsevier.com
sci-hub.se 参考文章(39)
Enikö Kövari, Gabriel Gold, François R. Herrmann, Alessandra Canuto, Patrick R. Hof, Jean-Pierre Michel, Constantin Bouras, Panteleimon Giannakopoulos, Cortical Microinfarcts and Demyelination Significantly Affect Cognition in Brain Aging Stroke. ,vol. 35, pp. 410- 414 ,(2004) , 10.1161/01.STR.0000110791.51378.4E
D Martino, B Draganski, A Cavanna, A Church, G Defazio, M M Robertson, R S J Frackowiak, G Giovannoni, H D Critchley, Anti-basal ganglia antibodies and Tourette’s syndrome: A voxel-based morphometry and diffusion tensor imaging study in an adult population Journal of Neurology, Neurosurgery, and Psychiatry. ,vol. 79, pp. 820- 822 ,(2008) , 10.1136/JNNP.2007.136689
A. M.A. Brands, G. J. Biessels, E. H.F. de Haan, L. J. Kappelle, R. P.C. Kessels, The Effects of Type 1 Diabetes on Cognitive Performance: A meta-analysis Diabetes Care. ,vol. 28, pp. 726- 735 ,(2005) , 10.2337/DIACARE.28.3.726
E. ADEGHATE, P. SCHATTNER, E. DUNN, An update on the etiology and epidemiology of diabetes mellitus. Annals of the New York Academy of Sciences. ,vol. 1084, pp. 1- 29 ,(2006) , 10.1196/ANNALS.1372.029
D. S. Knopman, T. H. Mosley, D. J. Catellier, A. R. Sharrett, , Cardiovascular risk factors and cerebral atrophy in a middle-aged cohort. Neurology. ,vol. 65, pp. 876- 881 ,(2005) , 10.1212/01.WNL.0000176074.09733.A8
RUSSELL N. DEJONG, THE NERVOUS SYSTEM COMPLICATIONS OF DIABETES MELLITUS, WITH SPECIAL REFERENCE TO CEREBROVASCULAR CHANGES Journal of Nervous and Mental Disease. ,vol. 111, pp. 181- 206 ,(1950) , 10.1097/00005053-195011130-00001
A.A. Gouw, W.M. Van der Flier, E.C.W. van Straaten, F. Barkhof, J.M. Ferro, H. Baezner, L. Pantoni, D. Inzitari, T. Erkinjuntti, L.O. Wahlund, G. Waldemar, R. Schmidt, F. Fazekas, Ph. Scheltens, Simple versus complex assessment of white matter hyperintensities in relation to physical performance and cognition: the LADIS study. Journal of Neurology. ,vol. 253, pp. 1189- 1196 ,(2006) , 10.1007/S00415-006-0193-5
Reinhold Schmidt, Christian Enzinger, Stefan Ropele, Helena Schmidt, Franz Fazekas, Progression of cerebral white matter lesions: 6-year results of the Austrian Stroke Prevention Study The Lancet. ,vol. 361, pp. 2046- 2048 ,(2003) , 10.1016/S0140-6736(03)13616-1
Kate V. Allen, Brian M. Frier, Mark W.J. Strachan, The relationship between type 2 diabetes and cognitive dysfunction: longitudinal studies and their methodological limitations. European Journal of Pharmacology. ,vol. 490, pp. 169- 175 ,(2004) , 10.1016/J.EJPHAR.2004.02.054
Philip Scheltens, Florence Pasquier, Jan G.E. Weerts, Frederik Barkhof, Didier Leys, Qualitative Assessment of Cerebral Atrophy on MRI: Inter- and Intra-Observer Reproducibility in Dementia and Normal Aging European Neurology. ,vol. 37, pp. 95- 99 ,(1997) , 10.1159/000117417