部分各向异性
白质
磁共振弥散成像
高强度
老人忧郁量表
萧条(经济学)
神经影像学
心理学
医学
磁共振成像
精神科
心脏病学
临床心理学
内科学
认知
抑郁症状
放射科
宏观经济学
经济
作者
Melissa Lamar,Rebecca A. Charlton,Robin G. Morris,Hugh S. Markus
标识
DOI:10.1097/jgp.0b013e3181cabad1
摘要
Clinical depression in the elderly is associated with cerebral small vessel disease. It is less certain whether the endorsement of depressive symptoms in the absence of clinical depression, relatively common in euthymic older adults, is also associated with white matter damage. The majority of studies exploring this issue have produced mixed results, perhaps due, in part, to differences in defining the threshold for depression, notating vascular risk factors, and/or the neuroimaging tools used to quantify white matter damage. We aimed to address these issues with non-demented euthymic older adults.We performed diffusion tensor imaging (DTI) and T2-weighted magnetic resonance imaging (MRI) in a population based cohort of 79 individuals (mean age = 68 years).In addition to neuroimaging, the authors report assessments of overall cognition, executive functioning, and depression.Scores on the Geriatric Depression Scale 15-item (GDS-15) correlated with DTI measures of mean diffusivity (r [77] = 0.23, p = 0.039) and fractional anisotropy (r [77] = -0.22, p = 0.045) but only approached significance for T2-weighted MRI measures of white matter hyperintensities (WMH; r [77] = 0.21, p = 0.053). After adjusting for factors known to influence the development of WMH and depression, including age and vascular risks, DTI-derived indices of white matter integrity remained significantly associated with GDS-15 scores. Furthermore, only DTI-derived measures of white matter integrity contributed to the variance in GDS-15 scores in logistical regression modeling.These findings demonstrate an association between white matter damage and the endorsement of depressive symptoms in euthymic older adults and suggest that DTI may be more sensitive to this damage than T2-WMH in an aging cohort with multiple vascular risk factors.
科研通智能强力驱动
Strongly Powered by AbleSci AI