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首页> 美国卫生研究院文献>Human Brain Mapping >Language network measures at rest indicate individual differences in naming decline after anterior temporal lobe resection
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Language network measures at rest indicate individual differences in naming decline after anterior temporal lobe resection

机译：静止时的语言网络测量表明前颞叶切除后命名下降的个体差异

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While anterior temporal lobe (ATL) resection is an effective treatment for temporal lobe epilepsy, surgery on the dominant hemisphere is associated with variable decline in confrontation naming. Accurate prediction of naming impairment is critical to inform clinical decision making, and while there has been some degree of success using task‐based functional MRI (fMRI) paradigms, there remains a growing interest in the predictive utility of resting‐state connectivity as it allows for relatively shorter scans with low task demands. Our objective was to assess the relationship between measures of preoperative resting‐state connectivity and postoperative naming change in patients following left ATL resection. We compared the resting language network connectivity of each patient to a normative healthy control template using a novel measure called “matrix similarity,” and found that patients with more abnormal global language‐network connectivity—particularly of regions spared from surgery—showed greater postoperative naming decline than those with normative patterns of connectivity. When we interrogated the degree centrality of to‐be‐resected regions in a more targeted approach of the pathological temporal lobe, we found that greater functional integration of those regions with the rest of the language network at rest was related to greater decline in naming following surgery. Finally, we found that matrix similarity was a better predictor of postoperative outcome than degree within to‐be‐resected regions, network clustering, modularity, and language task fMRI laterality. We provide some of the first evidence that using this novel measure, a relatively short preoperative resting scan can be exploited to inform naming ability following ATL resection.
机译：尽管颞叶前切除术是颞叶癫痫的有效治疗方法，但在优势半球进行手术与对抗命名的可变性下降相关。命名障碍的准确预测对于临床决策至关重要，尽管使用基于任务的功能性MRI（fMRI）范例已经取得了一定程度的成功，但人们对静息状态连通性的预测实用性越来越感兴趣适用于任务需求低的相对较短的扫描。我们的目的是评估左ATL切除术后患者的术前静息状态测量与术后命名变化之间的关系。我们使用一种称为“矩阵相似性”的新方法，将每位患者的静息语言网络连通性与规范的健康控制模板进行了比较，发现全球语言网络连通性异常的患者（尤其是手术后幸免的地区）显示出更高的术后命名比那些具有规范性连接方式的公司下降。当我们以病理性颞叶的更有针对性的方法询问待切除区域的程度中心性时，我们发现这些区域与静止的语言网络其余部分的更大功能整合与命名跟随性的更大下降有关手术。最后，我们发现矩阵相似度比术后切除区域，网络聚类，模块性和语言任务fMRI偏向度更好地预测了术后结果。我们提供一些最初的证据，表明使用这种新颖的措施，可以利用相对较短的术前静息扫描来告知ATL切除术后的命名能力。

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