White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance.

White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance.
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DOI:
10.1016/j.nicl.2021.102616
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发表时间:
2021
期刊:
NeuroImage. Clinical
影响因子:
--
通讯作者:
Griffanti L
Griffanti L
中科院分区:
其他
文献类型:
--
作者:
Melazzini L;Mackay CE;Bordin V;Suri S;Zsoldos E;Filippini N;Mahmood A;Sundaresan V;Codari M;Duff E;Singh-Manoux A;Kivimäki M;Ebmeier KP;Jenkinson M;Sardanelli F;Griffanti L

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WMH的异质性测量用于研究和临床实践。在评估WMH时应考虑位置和图像强度。T1-低信号WMH被发现与较差的认知表现有关。WMH的亚类为临床翻译提供了有希望的结果。T2加权像上的白色高信号(WMH)是脑小血管疾病的放射学征象。由于其总体积与认知相关,因此需要一种整合多种放射学标准的新方法。位置可能很重要,因为室周WMH已被证明与认知障碍有关。在T1加权图像(T1 w)中显示为低信号的WMH也可能指示WMH的最严重成分。我们开发了一种自动方法,使用来自白厅II研究的684名社区居住老年人的MRI数据将WMH分为四类(脑室周围/深部和T1 w低信号/非T1 w低信号)。为了测试位置和强度信息是否会影响认知,我们使用整体或细分体积导出了两个一般线性模型。结果显示,脑室周围T1 w低信号WMH与连线A(p = 0.011)、数字符号(p = 0.028)和数字编码(p = 0.009)测试中的较差表现显著相关。我们发现WMH总量与认知之间没有关联。这些发现表明,根据T1 w中的位置和强度对WMH进行细分揭示了与认知表现的特定关联。
Heterogeneous measures of WMHs are used in research and clinical practice. Location and image intensity should be considered in the assessment of WMHs. T1-hypointense WMHs were found to be associated with poorer cognitive performance. Sub-classes of WMHs provide promising results for translation into the clinic. White matter hyperintensities (WMHs) on T2-weighted images are radiological signs of cerebral small vessel disease. As their total volume is variably associated with cognition, a new approach that integrates multiple radiological criteria is warranted. Location may matter, as periventricular WMHs have been shown to be associated with cognitive impairments. WMHs that appear as hypointense in T1-weighted images (T1w) may also indicate the most severe component of WMHs. We developed an automatic method that sub-classifies WMHs into four categories (periventricular/deep and T1w-hypointense/nonT1w-hypointense) using MRI data from 684 community-dwelling older adults from the Whitehall II study. To test if location and intensity information can impact cognition, we derived two general linear models using either overall or subdivided volumes. Results showed that periventricular T1w-hypointense WMHs were significantly associated with poorer performance in the trail making A (p = 0.011), digit symbol (p = 0.028) and digit coding (p = 0.009) tests. We found no association between total WMH volume and cognition. These findings suggest that sub-classifying WMHs according to both location and intensity in T1w reveals specific associations with cognitive performance.
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