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Using multi-level Bayesian lesion-symptom mapping to probe the body-part-specificity of gesture imitation skills

机译:使用多级贝叶斯病变症状映射来探究手势模仿技巧的身体部位特异性

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摘要

Past attempts to identify the neural substrates of hand and finger imitation skills in the left hemisphere of the brain have yielded inconsistent results. Here, we analyse those associations in a large sample of 257 left hemisphere stroke patients. By introducing novel Bayesian methods, we characterise lesion symptom associations at three levels: the voxel-level, the single-region level (using anatomically defined regions), and the region-pair level. The results are inconsistent across those three levels and we argue that each level of analysis makes assumptions which constrain the results it can produce. Regardless of the inconsistencies across levels, and contrary to past studies which implicated differential neural substrates for hand and finger imitation, we find no consistent voxels or regions, where damage affects one imitation skill and not the other, at any of the three analysis levels. Our novel Bayesian approach indicates that any apparent differences appear to be driven by an increased sensitivity of hand imitation skills to lesions that also impair finger imitation. In our analyses, the results of the highest level of analysis (region-pairs) emphasise a role of the primary somatosensory and motor cortices, and the occipital lobe in imitation. We argue that this emphasis supports an account of both imitation tasks based on direct sensor-motor connections, which throws doubt on past accounts which imply the need for an intermediate (e.g. body-part-coding) system of representation.
机译:过去尝试确定大脑左半球的手和手指模仿技能的神经基础的尝试均产生了不一致的结果。在这里,我们分析了257名左半球卒中患者的大量样本中的这些关联。通过引入新颖的贝叶斯方法,我们可以在三个级别上表征病变症状关联:体素级别,单区域级别(使用解剖学定义的区域)和区域对级别。结果在这三个级别上不一致,我们认为每个级别的分析都做出了限制其产生结果的假设。不管各个级别之间是否存在不一致,并且与以往的涉及将不同的神经底物用于手和手指模仿的研究相反,我们在三个分析级别中的任何一个都没有发现一致的体素或区域,在这些体素或区域中,损害会影响一种模仿技能,而不会影响另一种模仿技能。我们新颖的贝叶斯方法表明,任何明显的差异似乎都是由手模仿技巧对也损害手指模仿的损害的敏感性提高所驱动的。在我们的分析中,最高分析水平(区域对)的结果强调了主要的体感和运动皮层以及模仿的枕叶的作用。我们认为这种强调支持基于直接传感器-马达连接的两种模仿任务的说明,这使过去的疑问引起怀疑,这暗示着需要一个中间的(例如身体部位编码)表示系统。

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