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使用基于体素的形态测量法对家族性自发性癫痫猫进行统计结构分析。

Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry.

作者信息

Hamamoto Yuji, Hasegawa Daisuke, Yu Yoshihiko, Asada Rikako, Mizoguchi Shunta, Kuwabara Takayuki, Wada Masae, Fujiwara-Igarashi Aki, Fujita Michio

机构信息

Department of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.

出版信息

Front Vet Sci. 2018 Jul 24;5:172. doi: 10.3389/fvets.2018.00172. eCollection 2018.

Abstract

Voxel-based morphometry (VBM) based on high resolution three-dimensional data of magnetic resonance imaging has been developed as a statistical morphometric imaging analysis method to locate brain abnormalities in humans. Recently, VBM has been used for human patients with psychological or neurological disorders such as Alzheimer's disease, Parkinson's disease, and epilepsy. Traditional volumetry using region of interest (ROI) is performed manually and the observer needs detailed knowledge of the neuroanatomy having to trace objects of interest on many slices which can cause artificial errors. In contrast, VBM is an automatic technique that has less observer biases compared to the ROI method. In humans, VBM analysis is performed in patients with epilepsy to detect accurately structural abnormalities. Familial spontaneous epileptic cats (FSECs) have been developed as an animal model of mesial temporal lobe epilepsy. In FSECs, hippocampal asymmetry had been detected using three-dimensional magnetic resonance (MR) volumetry based on the ROI method. In this study, we produced a standard template of the feline brain and compared FSECs and healthy cats using standard VBM analysis. The feline standard template and tissue probability maps were created using 38 scans from 14 healthy cats. Subsequently, the gray matter was compared between FSECs ( = 25) and healthy controls ( = 12) as group analysis and between each FSEC and controls as individual analysis. The feline standard template and tissue probability maps could be created using the VBM tools for humans. There was no significant reduction of GM in the FSEC group compared to the control group. However, 5/25 (20%) FSECs showed significant decreases in the hippocampal and/or amygdaloid regions in individual analysis. Here, we established the feline standard templates of the brain that can be used to determine accurately abnormal zones. Furthermore, like MR volumetry, VBM identified morphometric changes in the hippocampus and/or amygdala in some FSECs.

摘要

基于磁共振成像高分辨率三维数据的体素形态学测量(VBM)已发展成为一种统计形态学成像分析方法,用于定位人类大脑异常。最近,VBM已被用于患有心理或神经疾病的人类患者,如阿尔茨海默病、帕金森病和癫痫。使用感兴趣区域(ROI)的传统体积测量是手动进行的,观察者需要对神经解剖学有详细的了解,必须在许多切片上追踪感兴趣的物体,这可能会导致人为误差。相比之下,VBM是一种自动技术,与ROI方法相比,观察者偏差较小。在人类中,对癫痫患者进行VBM分析以准确检测结构异常。家族性自发性癫痫猫(FSEC)已被开发为内侧颞叶癫痫的动物模型。在FSEC中,已使用基于ROI方法的三维磁共振(MR)体积测量检测到海马不对称。在本研究中,我们制作了猫脑的标准模板,并使用标准VBM分析比较了FSEC和健康猫。使用来自14只健康猫的38次扫描创建了猫的标准模板和组织概率图。随后,将FSEC(n = 25)和健康对照(n = 12)之间的灰质作为组分析进行比较,并将每个FSEC与对照之间的灰质作为个体分析进行比较。可以使用用于人类的VBM工具创建猫的标准模板和组织概率图。与对照组相比,FSEC组的灰质没有显著减少。然而,在个体分析中,25只FSEC中有5只(20%)在海马和/或杏仁核区域显示出显著减少。在这里,我们建立了可用于准确确定异常区域的猫脑标准模板。此外,与MR体积测量一样,VBM在一些FSEC中识别出海马和/或杏仁核的形态学变化。

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