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Structural Disconnections Caused by White Matter Hyperintensities in Post‐Stroke Spatial Neglect

机译:中风后空间忽视中白质高信号引起的结构断开

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摘要

White matter hyperintensities (WMH), a common feature of cerebral small vessel disease, affect a wide range of cognitive dysfunctions, including spatial neglect. The latter is a disorder of spatial attention and exploration typically after right hemisphere brain damage. To explore the impact of WMH on neglect‐related structural disconnections, the present study investigated the indirectly quantified structural disconnectome induced by either stroke lesion alone, WMH alone, or their combination. Furthermore, we compared different measures of structural disconnection—voxel‐wise, pairwise, tract‐wise, and parcel‐wise—to identify neural correlates and predict acute neglect severity. We observed that WMH‐derived disconnections alone were not associated with neglect behavior. However, when combined with disconnections derived from individual stroke lesions, pre‐stroke WMH contributed to post‐stroke neglect severity by affecting right frontal and subcortical substrates, like the middle frontal gyrus, basal ganglia, thalamus, and the fronto‐pontine tract. Predictive modeling demonstrated that voxel‐wise disconnection data outperformed other measures of structural disconnection, explaining 42% of the total variance; interestingly, the best model used predictors of stroke‐based disconnections only. We conclude that prestroke alterations in the white matter microstructure due to WMH contribute to poststroke deficits in spatial attention, likely by impairing the integrity of human attention networks.
机译:白质高信号 (WMH) 是脑小血管疾病的常见特征,会影响广泛的认知功能障碍,包括空间忽视。后者是一种空间注意力和探索障碍,通常在右半球脑损伤后发生。为了探讨 WMH 对忽视相关结构断开的影响,本研究调查了由单独中风病变、单独 WMH 或它们的组合诱导的间接量化结构断开组。此外,我们比较了结构断开的不同测量方法——体素、成对、区域和包裹——以确定神经相关性并预测急性忽视的严重程度。我们观察到,仅 WMH 衍生的断开连接与忽视行为无关。然而,当与单个卒中病变衍生的断开相结合时,卒中前 WMH 通过影响右侧额叶和皮质下基质,如额中回、基底神经节、丘脑和额脑桥束,导致卒中后忽视的严重程度。预测模型表明,体素断开数据优于结构断开的其他测量方法,解释了总方差的 42%;有趣的是,最佳模型仅使用基于卒中的断开连接的预测因子。我们得出结论,由于 WMH 导致的白质微结构的中风前改变可能导致中风后空间注意力缺陷,这可能是通过损害人类注意力网络的完整性。

著录项

  • 期刊名称 Human Brain Mapping
  • 作者单位
  • 年(卷),期 2024(45),17
  • 年度 2024
  • 页码 e70078
  • 总页数 15
  • 原文格式 PDF
  • 正文语种
  • 中图分类 神经科学;
  • 关键词

    机译:注意力;连接组;断开-症状映射;白质疏松症;网络;预测建模;
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