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首页> 外文期刊>Journal of Neurology, Neurosurgery and Psychiatry >Neuroanatomical localisation and clinical correlates of white matter lesions in the elderly.
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Neuroanatomical localisation and clinical correlates of white matter lesions in the elderly.

机译:老年人白质病变的神经解剖定位和临床相关性。

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BACKGROUND: White matter lesions (WML) in elderly people co-occur with hypertension, depression, and cognitive impairment. Little is known about the density and distribution of WML in normal elderly people, whether they occur randomly in the aging brain or tend to cluster in certain areas, or whether patterns of WML aggregation are linked to clinical symptoms. OBJECTIVES: To describe patterns of WML distribution in a large representative population of elderly people using non-inferential cluster analysis; and to determine the extent to which such patterns are associated with clinical symptomatology. METHOD: A population sample of 1077 elderly people was recruited. Multiple analysis of correspondence followed by automatic classification methods was used to explore overall patterns of WML distribution. Correspondence was then sought between these patterns and a range of cerebrovascular, psychiatric, and neurological symptoms. RESULTS: Three distinct patterns of spatial localisation within the brain were observed, corresponding to distinct clusters of clinical symptoms. In particular WML aggregation in temporal and occipital areas was associated with greater age, hypertension, late onset depressive disorder, poor global cognitive function, and overall WML frequency. CONCLUSIONS: WML localisation is not random in the aging brain, and their distribution is associated with age and the presence of clinical symptoms. Age differences suggest there may be patterns of progression across time; however, this requires confirmation from longitudinal imaging studies.
机译:背景:老年人的白质病变(WML)并发高血压,抑郁和认知障碍。对于正常老年人中WML的密度和分布,它们是否是随机出现在衰老的大脑中或倾向于聚集在某些区域,或者WML聚集的方式是否与临床症状相关,人们所知甚少。目的:使用非推论聚类分析来描述大量有代表性的老年人口中WML的分布模式;并确定这种模式与临床症状相关的程度。方法:收集了1077名老年人的人口样本。使用对应关系的多种分析,然后使用自动分类方法来探索WML分布的整体模式。然后寻求这些模式与一系列脑血管,精神病和神经系统症状之间的对应关系。结果:观察到三种不同的大脑内空间定位模式,分别对应于不同的临床症状群。特别是颞叶和枕叶区域的WML聚集与年龄增加,高血压,迟发性抑郁症,整体认知功能差和整体WML频率有关。结论:WML在衰老的大脑中不是随机的,其分布与年龄和临床症状的存在有关。年龄差异表明,随着时间的流逝,可能会有进展的模式。但是,这需要纵向成像研究的证实。

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