A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging

被引:471
作者
Hutton, Chloe [1 ]
Draganski, Bogdan [1 ,2 ]
Ashburner, John [1 ]
Weiskopf, Nikolaus [1 ]
机构
[1] UCL, UCL Inst Neurol, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England
[2] Max Planck Inst Human Cognit & Brain Sci, Leipzig, Germany
基金
英国惠康基金;
关键词
Morphometry; VBM; Cortical thickness; Aging; HUMAN CEREBRAL-CORTEX; GRAY-MATTER; HUNTINGTONS-DISEASE; BRAIN STRUCTURE; MDEFT SEQUENCE; MRI; SEGMENTATION; DENSITY; SCHIZOPHRENIA; OPTIMIZATION;
D O I
10.1016/j.neuroimage.2009.06.043
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The morphology of cortical grey matter is commonly assessed using T1-weighted MRI together with automated computerised methods such as voxel-based morphometry (VBM) and cortical thickness measures. In the presented study we investigate how grey matter changes identified using voxel-based cortical thickness (VBCT) measures compare with local grey matter volume changes identified using VBM. We use data from a healthy aging population to perform the comparison, focusing on brain regions where age-related changes have been observed in previous studies. Our results show that overall, in healthy aging, VBCT and VBM yield very consistent results but VBCT provides a more sensitive measure of age-associated decline in grey matter compared with VBM. Our findings suggest that while VBCT selectively investigates cortical thickness, VBM provides a mixed measure of grey matter including cortical surface area or cortical folding, as well as cortical thickness. We therefore propose that used together, these techniques can separate the underlying grey matter changes, highlighting the utility of combining these complementary methods. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:371 / 380
页数:10
相关论文
共 59 条
[1]  
Aleman-Gomez Y, 2006, 12 ANN OHBM FLOR IT
[2]   Computer-assisted imaging to assess brain structure in healthy and diseased brains [J].
Ashburner, J ;
Csernansky, JG ;
Davatzikos, C ;
Fox, NC ;
Frisoni, GB ;
Thompson, PM .
LANCET NEUROLOGY, 2003, 2 (02) :79-88
[3]   Voxel-based morphometry - The methods [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2000, 11 (06) :805-821
[4]   Unified segmentation [J].
Ashburner, J ;
Friston, KJ .
NEUROIMAGE, 2005, 26 (03) :839-851
[5]  
Ashburner J, 1999, HUM BRAIN MAPP, V7, P254, DOI 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO
[6]  
2-G
[7]   A fast diffeomorphic image registration algorithm [J].
Ashburner, John .
NEUROIMAGE, 2007, 38 (01) :95-113
[8]   Computing average shaped tissue probability templates [J].
Ashburner, John ;
Friston, Karl J. .
NEUROIMAGE, 2009, 45 (02) :333-341
[9]   Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? [J].
Bergouignan, Loretxu ;
Chupin, Marie ;
Czechowska, Yvonne ;
Kinkingnehun, Serge ;
Lemogne, Cedric ;
Le Bastard, Guillaume ;
Lepage, Martin ;
Garnero, Line ;
Colliot, Olivier ;
Fossati, Philippe .
NEUROIMAGE, 2009, 45 (01) :29-37
[10]   The complex minds of teenagers: Neuroanatomy of personality differs between sexes [J].
Blankstein, Udi ;
Chen, Jerry Y. W. ;
Mincic, Adina M. ;
McGrath, Patricia A. ;
Davis, Karen D. .
NEUROPSYCHOLOGIA, 2009, 47 (02) :599-603