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首页> 外文期刊>Journal of Neuroscience Methods >A comparison of automated anatomical-behavioural mapping methods in a rodent model of stroke
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A comparison of automated anatomical-behavioural mapping methods in a rodent model of stroke

机译：中风啮齿动物模型中自动解剖学行为映射方法的比较

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Neurological damage, due to conditions such as stroke, results in a complex pattern of structural changes and significant behavioural dysfunctions; the automated analysis of magnetic resonance imaging (MRI) and discovery of structural-behavioural correlates associated with these disorders remains challenging. Voxel lesion symptom mapping (VLSM) has been used to associate behaviour with lesion location in MRI, but this analysis requires the definition of lesion masks on each subject and does not exploit the rich structural information in the images. Tensor-based morphometry (TBM) has been used to perform voxel-wise structural analyses over the entire brain; however, a combination of lesion hyper-intensities and subtle structural remodelling away from the lesion might confound the interpretation of TBM. In this study, we compared and contrasted these techniques in a rodent model of stroke (n=. 58) to assess the efficacy of these techniques in a challenging pre-clinical application. The results from the automated techniques were compared using manually derived region-of-interest measures of the lesion, cortex, striatum, ventricle and hippocampus, and considered against model power calculations. The automated TBM techniques successfully detect both lesion and non-lesion effects, consistent with manual measurements. These techniques do not require manual segmentation to the same extent as VLSM and should be considered part of the toolkit for the unbiased analysis of pre-clinical imaging-based studies.
机译：由于诸如中风的条件，神经系统损伤导致结构变化的复杂模式和显着的行为功能障碍;磁共振成像（MRI）的自动分析以及与这些疾病相关的结构行为相关性仍然具有挑战性。 Voxel病变症状映射（VLSM）已被用于将行为与MRI中的病变位置相关联，但该分析要求在每个主题上定义病变掩码，并且不会利用图像中的丰富的结构信息。基于张量的形态学（TBM）已被用于在整个大脑上进行体素 - 明智的结构分析;然而，远离病变的病变超强度和微妙的结构重塑的组合可能会混淆TBM的解释。在这项研究中，我们将这些技术与中风（n =。58）的啮齿动物模型进行了比较和对比，以评估这些技术在挑战前临床前应用中的功效。使用手动衍生病变，皮质，纹状体，心室和海马的感兴趣区域的感兴趣的区域测量来进行比较自动化技术的结果，并考虑模型功率计算。自动化TBM技术成功地检测了病变和非病变效果，这与手动测量一致。这些技术不需要在与VLSM相同的程度上进行手动分段，并且应该被视为工具包的一部分，用于对基于临床前成像的研究的无偏见分析。

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