Joint effect of white matter lesions and hippocampal volumes on severity of cognitive decline: the 3C-Dijon MRI study.
JOURNAL OF ALZHEIMERS DISEASE(2010)
摘要
Several brain magnetic resonance imaging (MRI) changes are observed in older individuals including white matter lesions (WML), silent brain infarcts (SBI), and cerebral atrophy. Few studies, however, have assessed the combined association of these changes on the severity of future cognitive decline. In the prospective population-based 3C-Dijon MRI study, 1701 non-demented participants aged 65 to 80 years at entry had a brain MRI. Information on WML, hippocampal volumes, SBI presence, and brain parenchymal fraction were obtained. At 4-year follow-up, participants were screened for cognitive decline and dementia. Severity of cognitive decline was defined as none, moderate, or severe calculated from neuropsychological test performance change. The relation between brain MRI markers and longitudinal change in cognition was studied using polytomous logistic regression and multiple linear regression models controlling for potential confounders. Two-by-two interactions were tested including with the apolipoprotein E genotype. At follow-up, 46 participants showed severe cognitive deterioration and 224 participants showed moderate cognitive deterioration. In multivariable analyses, risk of severe cognitive deterioration as well as the cognitive decline rate were significantly increased in participants with higher WML volume (p < 0.01) and smaller hippocampal volume (p < 0.01). The results suggested that WML and hippocampal volumes had a cumulative effect on the future level of cognitive decline. The APOE genotype was found to be an effect modifier of this association. Vascular brain changes and degenerative processes coexist in normal older individuals. The co-occurrence of degenerative and non-degenerative pathologies could strongly affect the course of dementia expression.
更多查看译文
关键词
Alzheimer's disease,cerebrovascular disease,cohort studies,dementia,risk factors in epidemiology,volumetric MRI
AI 理解论文
溯源树
样例

生成溯源树,研究论文发展脉络
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn