Hippocampal volume and integrity as predictors of cognitive decline in intact elderly.

Hippocampal volume and integrity as predictors of cognitive decline in intact elderly.
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DOI:
10.1097/wnr.0000000000000629
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发表时间:
2016-08-03
期刊:
影响因子:
1.7
通讯作者:
Pomara N
Pomara N
中科院分区:
医学4区
文献类型:
--
作者:
Bruno D;Ciarleglio A;Grothe MJ;Nierenberg J;Bachman AH;Teipel SJ;Petkova E;Ardekani BA;Pomara N

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阿尔茨海默病(AD)的风险可以通过对内侧颞叶的MRI数据进行体积分析来预测。本研究比较了对海马体体积的测量和从实质体积与总体积之比得出的对海马体完整性的新测量。参与者的认知完好无损,在基线时年龄在60岁或以上,并接受了两次测试,大约相隔三年。参与者被招募参加一项关于晚年重度抑郁症(LLMD)的研究,并被平均分成抑郁症和对照组。数据采用线性回归模型,以认知综合得分作为结果,同时或单独使用海马体完整性(HI)和体积(HV)作为预测因子。包括HI和LLMD状态之间的交互作用的模型很好地预测了随后的认知表现,即HI分数较低预示着抑郁受试者的认知能力下降更多。还需要更多的研究,但这项研究的初步结果似乎表明,新引入的HI是一种有效的工具,用于预测未来一般认知能力的变化,特别是在患有LLMD的个体中。
Risk of Alzheimer’s disease (AD) can be predicted by volumetric analyses of MRI data in the medial temporal lobe. The present study compared a volumetric measurement of the hippocampus to a novel measure of hippocampal integrity derived from the ratio of parenchyma volume over total volume. Participants were cognitively intact and aged 60 or older at baseline, and were tested twice, roughly three years apart. Participants had been recruited for a study on late-life major depression (LLMD) and were evenly split between depressed and controls. Linear regression models were applied to the data with a cognitive composite score as outcome, and hippocampal integrity (HI) and volume (HV), together or separately, as predictors. Subsequent cognitive performance was predicted well by models that include an interaction between HI and LLMD-status, such that lower HI scores predicted more cognitive decline in depressed subjects. More research is needed, but tentative results from this study appear to suggest that the newly introduced measure HI is an effective tool for the purpose of predicting future changes in general cognitive ability, and especially so in individuals with LLMD.