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基于体素的形态计量学在首发精神分裂症中的研究结果:公开可用软件包的比较。

Voxel-based morphometry results in first-episode schizophrenia: a comparison of publicly available software packages.

机构信息

Department of Radiology, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an, 710032, China.

Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi, China.

出版信息

Brain Imaging Behav. 2020 Dec;14(6):2224-2231. doi: 10.1007/s11682-019-00172-x.

Abstract

Investigations of brain structure in schizophrenia using magnetic resonance imaging (MRI) have identified variations in regional grey matter (GM) volume throughout the brain but the results are mixed. This study aims to investigate whether the inconsistent voxel-based morphometry (VBM) findings in schizophrenia are due to the use of different software packages. T1 MRI images were obtained from 86 first-episode schizophrenia (FESZ) patients and 86 age- and gender-matched Healthy controls (HCs). VBM analysis was carried out using FMRIB software library (FSL) 5.0 and statistical parametric mapping 8 (SPM8). All images were processed using the default parameter settings as provided by these software packages. FSL-VBM revealed widespread GM volume reductions in FESZ patients compared with HCs, however, for SPM-VBM, only increased and circumscribed GM volume changes were found, both software revealed increased GM volume within cerebellum. Significant correlations between Positive and Negative Syndrome Scale (PANSS) and GM volume were mainly found in frontal regions. Algorithms of GM tissue segmentation, image registration and statistical strategies might contribute to these disparate results.

摘要

使用磁共振成像 (MRI) 研究精神分裂症的大脑结构已经确定了整个大脑区域灰质 (GM) 体积的变化,但结果不一。本研究旨在探讨精神分裂症的不一致基于体素的形态测量学 (VBM) 发现是否归因于使用不同的软件包。从 86 名首发精神分裂症 (FESZ) 患者和 86 名年龄和性别匹配的健康对照者 (HCs) 中获得 T1 MRI 图像。使用 FMRIB 软件库 (FSL) 5.0 和统计参数映射 8 (SPM8) 进行 VBM 分析。所有图像均使用这些软件包提供的默认参数设置进行处理。FSL-VBM 显示 FESZ 患者的 GM 体积普遍减少,而 SPM-VBM 仅发现 GM 体积增加和局限变化,两种软件均显示小脑 GM 体积增加。在额叶区域主要发现阳性和阴性综合征量表 (PANSS) 和 GM 体积之间存在显著相关性。GM 组织分割、图像配准和统计策略的算法可能导致这些不同的结果。

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