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共病精神分裂症与学习障碍的基于体素的形态测量学:使用参数和非参数统计方法在标准化空间和原始空间中进行分析。

Voxel-based morphometry of comorbid schizophrenia and learning disability: analyses in normalized and native spaces using parametric and nonparametric statistical methods.

作者信息

Moorhead T William J, Job Dominic E, Whalley Heather C, Sanderson Tracy L, Johnstone Eve C, Lawrie Stephen M

机构信息

Image Analysis Laboratory, Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh EH10 5HF, Scotland, UK.

出版信息

Neuroimage. 2004 May;22(1):188-202. doi: 10.1016/j.neuroimage.2003.12.012.

Abstract

We employed voxel-based morphometry (VBM) to compare the distributions of grey matter found in structural magnetic resonance imaging (MRI) brain scans of patients with comorbid learning disability with schizophrenia, schizophrenia alone, learning disability alone, and normal controls. Our primary aim was to replicate a previous region of interest (ROI) finding that comorbids and schizophrenics belong to the same population. Nonparametric analysis in normalized space showed no significant differences in grey matter distribution between the comorbid and schizophrenia groups. Furthermore, this analysis showed significant grey matter reductions in the comorbid and schizophrenia groups when compared to the learning-disabled or the normal controls. Parametric analysis localized the significant grey matter reductions between the normal controls and the comorbid and schizophrenia groups to the prefrontal and temporal lobes. It also identified an area of increased grey matter, on the inferior aspect of the postcentral gyrus, in the learning-disabled alone compared to the other groups. Native space parametric and nonparametric analyses, based on modulation of the normalized scans, confirmed the similarity in grey matter distribution of the comorbid and schizophrenia groups. Results confirm the ROI finding that in native space the learning-disabled group possesses the least and normal controls the most grey matter for the cohort. An increase in the basal ganglia of patients with schizophrenia vs. the learning-disabled, probably attributable to antipsychotic medication, was identified in the native space analysis. The native space results did not however register statistically significant temporal lobe reductions found under normalized analysis between schizophrenics and normal controls. This may be attributable to minor physical anomalies (MPA) in the schizophrenic cranium. Overall, these VBM results replicate previous ROI findings and are compatible with the view that comorbid learning disability with schizophrenia is a severe form of schizophrenia, rather than a consequence of learning disability. VBM has the facility to compare grey matter distributions in this structurally diverse cohort.

摘要

我们采用基于体素的形态测量法(VBM),比较了患有学习障碍合并精神分裂症的患者、单纯精神分裂症患者、单纯学习障碍患者以及正常对照组的脑部结构磁共振成像(MRI)扫描中灰质的分布情况。我们的主要目的是重复之前感兴趣区域(ROI)的研究结果,即合并症患者和精神分裂症患者属于同一人群。在标准化空间中的非参数分析显示,合并症组和精神分裂症组之间的灰质分布没有显著差异。此外,该分析表明,与学习障碍组或正常对照组相比,合并症组和精神分裂症组的灰质有显著减少。参数分析将正常对照组与合并症组和精神分裂症组之间灰质的显著减少定位在前额叶和颞叶。它还发现,与其他组相比,单纯学习障碍组在中央后回下侧有一个灰质增加的区域。基于标准化扫描调制的原始空间参数和非参数分析证实了合并症组和精神分裂症组在灰质分布上的相似性。结果证实了ROI的研究结果,即在原始空间中,学习障碍组的灰质最少,而正常对照组的灰质最多。在原始空间分析中,发现精神分裂症患者与学习障碍患者相比,基底神经节有所增加,这可能归因于抗精神病药物治疗。然而,原始空间结果并未显示出标准化分析中精神分裂症患者与正常对照组之间在颞叶上有统计学显著的减少。这可能归因于精神分裂症患者颅骨中的微小身体异常(MPA)。总体而言,这些VBM结果重复了之前ROI的研究结果,并且与以下观点一致,即学习障碍合并精神分裂症是精神分裂症的一种严重形式,而不是学习障碍的结果。VBM能够比较这个结构多样的队列中的灰质分布情况。

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