首发精神分裂症患者灰质体积的基于体素的形态计量学研究。
Source-based morphometry of gray matter volume in men with first-episode schizophrenia.
机构信息
Department of Psychiatry, Masaryk University, Jihlavska 20, 625 00, Brno, the Czech Republic.
出版信息
Hum Brain Mapp. 2010 Feb;31(2):300-10. doi: 10.1002/hbm.20865.
Abstract
OBJECTIVES
There is a lot of variability between the results of studies reporting the pattern of gray matter volume changes in schizophrenia. Methodological issues may play an important role in this heterogeneity. The aim of the present study was to replicate the better performance of multivariate "source-based morphometry" (SBM) over the mass-univariate approach.
EXPERIMENTAL DESIGN
Voxel-based morphometry of Jacobian-modulated gray matter volume images, using voxel and cluster level inference, and SBM were performed in a group of first-episode schizophrenia patients (N = 49) and healthy controls (N = 127).
RESULTS
Using SBM we were able to find a significant reduction of gray matter volume in fronto-temporo-cerebellar areas whereas no significant results were obtained using voxel-based morphometry.
CONCLUSION
Multivariate analysis of gray matter volume seems to be a suitable method for characterization of the pattern of changes at the beginning of the illness in schizophrenia subjects.
摘要
目的
报道精神分裂症患者脑灰质体积变化模式的研究结果存在很大差异。方法学问题可能在这种异质性中起着重要作用。本研究的目的是复制多元“基于源的形态计量学”（SBM）优于质量单变量方法的更好性能。
实验设计
使用体素和聚类水平推断以及 SBM，对一组首发精神分裂症患者（N=49）和健康对照组（N=127）进行基于雅可比调制的灰质体积图像的体素形态计量学分析。
结果
使用 SBM，我们能够发现额颞顶枕小脑区域灰质体积的显著减少，而使用基于体素的形态计量学则没有得到显著结果。
结论
灰质体积的多元分析似乎是一种合适的方法，可用于描述精神分裂症患者疾病早期变化的模式。
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