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Neural substrates of subcortical aphasia in subacute stroke: Voxel-based lesion symptom mapping study

机译:亚急性中风中皮质骨质的神经底物:基于体素的病变症状映射研究

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摘要

Subcortical aphasia develops as a result of damage to subcortical brain areas without loss of cortical functions. Although earlier voxel-based lesion-symptom mapping (VLSM) studies have shown possible neural correlates for aphasia, it remains to be clarified which brain regions are associated with subcortical aphasia. The aim of this study was to investigate the neural substrates associated with subcortical aphasia in patients with stroke using VLSM and atlas-based analyses to explore the involvement of white matter tracts and subcortical structures. Fifty patients with subacute subcortical stroke without cortical involvement were retrospectively enrolled: 24 with and 26 without aphasia. We performed VLSM and atlas-based analyses of the patients' fluid-attenuated inversion recovery images and found that the left perisylvian white matter, left fronto-occipital fasciculus, uncinate fasciculus, and forceps minor were significantly more greatly affected in the aphasia than in the non-aphasia group. The left anterior thalamic radiation, cingulum (cingulate gyrus), and superior longitudinal fasciculus also showed higher involvement in this group (marginal significance). Among the subcortical regions, the left caudate and putamen were more greatly involved in the aphasia group. Our findings confirm language processing as one of the integrated sensory-motor processes that occur in the region around the left sylvian fissure. Our atlas-based analysis approach can be used to complement VLSM analyses.
机译:皮质下失语症是由于皮质下脑区受损而没有皮质功能丧失而发展起来的。尽管早期基于体素的病变症状映射(VLSM)研究表明失语症可能与神经相关,但仍需澄清哪些大脑区域与皮质下失语症相关。本研究的目的是使用VLSM和基于atlas的分析来研究与脑卒中患者皮层下失语相关的神经基质,以探索白质束和皮层下结构的参与。回顾性纳入50例无皮质受累的亚急性皮质下卒中患者:24例有失语症,26例无失语症。我们对患者的液体衰减反转恢复图像进行了VLSM和基于atlas的分析,发现失语症组的左外侧裂周围白质、左额枕束、钩束和小镊子的影响明显大于非失语症组。左侧丘脑前辐射、扣带回(扣带回)和上纵束在该组中也表现出较高的受累程度(边缘显著性)。在皮质下区域中,失语症组的左侧尾状核和壳核受影响更大。我们的研究结果证实,语言处理是发生在左外侧裂周围区域的一种综合感觉运动过程。我们基于图谱的分析方法可用于补充VLSM分析。

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