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在特发性帕金森病的基于体素的形态计量学中考虑总颅内体积和其他干扰变量。

Considering total intracranial volume and other nuisance variables in brain voxel based morphometry in idiopathic PD.

机构信息

Department of Clinical and Health Psychology, University of Florida, 1225 Center Drive, Gainesville, FL, 32611, USA.

Department of Biomedical Engineering, University of Florida, 1275 Center Drive, Gainesville, FL, 32611, USA.

出版信息

Brain Imaging Behav. 2018 Feb;12(1):1-12. doi: 10.1007/s11682-016-9656-9.

Abstract

Voxel-based morphometry (VBM) studies of Parkinson's disease (PD), have yielded mixed results, possibly due to several studies not accounting for common nuisance variables (age, sex, and total intracranial volume [TICV]). TICV is particularly important because there is evidence for larger TICV in PD. We explored the influence of these covariates on VBM by 1) comparing PD patients and controls before adding covariates, after adding age and sex, and after adding age, sex and TICV, and 2) by comparing controls split into large and small TICV before and after controlling for TICV, with age and sex accounted for in both analyses. Experiment 1 consisted of 40 PD participants and 40 controls. Experiment 2 consisted of 88 controls median split by TICV. All participants completed an MRI on a 3 T scanner. TICV was calculated as gray + white + CSF from Freesurfer. VBM was performed on T1 images using an optimized VBM protocol. Volume differences were assessed using a voxel-wise GLM analysis. Clusters were considered significant at >10 voxels and p < .05 corrected for familywise error. Before controlling for covariates, PD showed reduced GM in temporal, occipital, and cerebellar regions. Controlling for age and sex did not affect the pattern of significance. Controlling for TICV reduced the size of the significant region although it still contained portions of bilateral temporal lobes, occipital lobes and cerebellum. The large TICV group showed reduced volume in temporal, parietal, and cerebellar areas. None of these differences survived controlling for TICV. This demonstrates that TICV influences VBM results independently from other factors. Controlling for TICV in VBM studies is recommended.

摘要

基于体素的形态计量学(VBM)研究帕金森病(PD)的结果喜忧参半,这可能是由于一些研究没有考虑常见的干扰变量(年龄、性别和总颅内体积 [TICV])。TICV 尤为重要,因为有证据表明 PD 患者的 TICV 较大。我们通过以下两种方法来探索这些协变量对 VBM 的影响:1)在添加协变量之前、添加年龄和性别之后以及添加年龄、性别和 TICV 之后,比较 PD 患者和对照组;2)在控制 TICV 后,将对照组按 TICV 分为大 TICV 和小 TICV,在这两种分析中都考虑了年龄和性别。实验 1 包括 40 名 PD 患者和 40 名对照组。实验 2 由 88 名按 TICV 中位数分组的对照组组成。所有参与者都在 3T 扫描仪上完成了 MRI。TICV 是从 Freesurfer 中计算出的灰质+白质+CSF。VBM 是在 T1 图像上使用优化的 VBM 协议进行的。使用基于体素的 GLM 分析评估体积差异。在进行集群校正之前,PD 在颞叶、枕叶和小脑区域显示出 GM 减少。控制协变量后,对显著性模式没有影响。控制 TICV 虽然缩小了显著区域的大小,但仍包含双侧颞叶、枕叶和小脑的部分区域。TICV 较大的组在颞叶、顶叶和小脑区域显示出体积减少。在控制 TICV 后,这些差异都不再显著。这表明 TICV 独立于其他因素影响 VBM 结果。建议在 VBM 研究中控制 TICV。

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