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A comparison of VLSM and VBM in a cohort of patients with post-stroke aphasia

机译:脑卒中后失语症患者队列中VLSM和VBM的比较

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Studies attempting to map post-stroke cognitive or motor symptoms to lesion location have been available in the literature for over 150years. In the last two decades, two computational techniques have been developed to identify the lesion sites associated with behavioural impairments. Voxel Based Morphometry (VBM) has now been used extensively for this purpose in many different patient populations. More recently, Voxel-based Lesion Symptom Mapping (VLSM) was developed specifically for the purpose of identifying lesion–symptom relationships in stroke patients, and has been used extensively to study, among others functions, language, motor abilities and attention. However, no studies have compared the results of these two techniques so far. In this study we compared VLSM and VBM in a cohort of 20 patients with chronic post-stroke aphasia. Comparison of the two techniques showed overlap in regions previously found to be relevant for the tasks used, suggesting that using both techniques and looking for overlaps between them can increase the reliability of the results obtained. However, overall VBM and VLSM provided only partially concordant results and the differences between the two techniques are discussed. Highlights ? VBM and VLSM are both used for lesion–symptom mapping in stroke. ? No studies have compared the results of these two methods so far. ? Here, VLSM and VBM were compared in a cohort of patients with post-stroke aphasia. ? VBM and VLSM provide only partially concordant results.
机译:已有150多年的研究试图将卒中后认知或运动症状映射到病变位置。在过去的二十年中,已经开发出两种计算技术来识别与行为障碍相关的病变部位。基于体素的形态计量学(VBM)现在已在许多不同的患者人群中广泛用于此目的。最近,基于体素的病灶症状图谱(VLSM)专门用于识别中风患者病灶与症状之间的关系,并已广泛用于研究功能,语言,运动能力和注意力。但是,到目前为止,尚无研究比较这两种技术的结果。在这项研究中,我们比较了20例慢性中风后失语症患者的VLSM和VBM。两种技术的比较显示,先前发现与所使用的任务相关的区域存在重叠,这表明使用两种技术并寻找它们之间的重叠可以提高所获得结果的可靠性。但是,总体VBM和VLSM仅提供了部分一致的结果,并且讨论了这两种技术之间的差异。强调 ? VBM和VLSM都用于中风的病变症状映射。 ?到目前为止,尚无研究比较这两种方法的结果。 ?在此,对一组中风后失语症患者的VLSM和VBM进行了比较。 ? VBM和VLSM仅提供部分一致的结果。

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