Differential effects of surface area, gyrification and cortical thickness on voxel based morphometric deficits in schizophrenia
Differential effects of surface area, gyrification and cortical thickness on voxel based morphometric deficits in schizophrenia
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DOI：
10.1016/j.neuroimage.2011.12.058
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发表时间：
2012-03-01
期刊：
影响因子：
5.7
通讯作者：
Liddle, Peter F.
中科院分区：
文献类型：
--
作者：
Palaniyappan, Lena;Liddle, Peter F.
基于体素的形态测量(VBM)和基于表面的形态测量(SBM)是研究精神分裂症等各种疾病状态下灰质结构的两种最常用的方法。虽然使用这两种方法在相同的数据集中观察到了重叠的变化，但使用VBM观察到的灰质体积(GMV)组差异中，皮质地幔的解剖属性，如厚度、表面积和回旋的比例贡献尚不清楚。在本研究中，我们使用57例精神分裂症患者和41名健康对照组的样本，研究了精神分裂症患者VBM显著改变区域的GMV与皮质外套膜解剖特性的关系。为此，我们获得了显示精神分裂症患者VBM变化的显著簇，并使用多重中介分析研究了SBM派生的三个解剖属性对观察组GMV差异的贡献。我们的结果表明，尽管SBM测量对VBM的差异有不同的贡献，但使用VBM观察到的组差异的很大一部分不能用个体表面解剖属性来解释。虽然VBM在识别灰质异常区域方面可能更敏感，但当同时进行SBM和VBM分析时，研究精神分裂症等疾病的病理生理学研究会更好地了解情况。(C)2011 Elsevier Inc.保留所有权利。
Voxel Based Morphometry (VBM) and Surface Based Morphometry (SBM) are the two most commonly used methods to study the structure of gray matter in various disease states such as schizophrenia. Though overlapping changes have been observed in same datasets using the two procedures, the proportional contribution of the anatomical properties of the cortical mantle such as thickness, surface area and gyrification to the group differences in gray matter volume (GMV) observed using VBM is unknown. In the present study, we investigate the relationship between the GMV and the anatomical properties of the cortical mantle in regions showing significant VBM changes in schizophrenia using a sample of 57 patients and 41 healthy controls. To this end, we obtained significant clusters showing VBM changes in schizophrenia and studied the contribution of the three anatomical properties derived from SBM to the observed group differences in the GMV using a multiple mediation analysis. Our results suggest that while SBM measures make distinct but regionally variable contribution to the VBM differences, a large proportion of the group difference observed using VBM is not explained by the individual surface anatomical properties. While VBM may be more sensitive in identifying the regions with gray matter abnormalities, studies investigating the pathophysiology of illnesses such as schizophrenia are better informed when both SBM and VBM analyses are performed concurrently. (C) 2011 Elsevier Inc. All rights reserved.