Neuroanatomical localisation and clinical correlates of white matter lesions in the elderly
Neuroanatomical localisation and clinical correlates of white matter lesions in the elderly
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DOI：
10.1136/jnnp.2003.023713
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发表时间：
2004-09-01
影响因子：
11
通讯作者：
Ritchie, K
中科院分区：
文献类型：
--
作者：
Artero, S;Tiemeier, H;Ritchie, K
背景：老年人的白色病变（WML）与高血压、抑郁和认知功能障碍并存。很少有人知道的密度和分布的WML在正常老年人，无论是随机发生在老龄化的大脑或倾向于集群在某些地区，或是否模式的WML聚集与临床symptoms.Objectives：描述模式的WML分布在一个大的代表性人口的老年人使用非推理聚类分析;方法：以1077名老年人为研究对象。多重分析的对应关系，然后自动分类方法被用来探索整体模式的WML分布。然后，寻求这些模式之间的对应关系和一系列的脑血管，精神和神经symptoms.Results：三个不同的模式，在大脑内的空间定位，对应于不同的临床症状集群。特别是WML聚集在颞叶和枕叶地区与更大的年龄，高血压，晚发性抑郁症，全球认知功能差，和整体WML frequency.Conclusions：WML本地化是不是随机的，在老龄化的大脑，其分布与年龄和临床症状的存在。年龄差异表明，随着时间的推移可能存在进展模式;然而，这需要纵向成像研究的证实。
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.