Reference ability neural networks and behavioral performance across the adult life span.

Reference ability neural networks and behavioral performance across the adult life span.
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DOI:
10.1016/j.neuroimage.2018.01.031
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发表时间:
2018-05-15
期刊:
影响因子:
5.7
通讯作者:
Stern Y
Stern Y
中科院分区:
医学1区
文献类型:
--
作者:
Habeck C;Eich T;Razlighi R;Gazes Y;Stern Y

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为了更好地理解老龄化以及其他人口统计和大脑健康变量对支持认知表现不同方面的神经网络的影响,我们应用了基于主成分分析的蛮力搜索技术,从跨年龄范围的大量参与者样本中得出了4个相应的空间协方差模式(称为参考能力神经网络- rann)。255名年龄在20-77岁、临床健康、居住在社区的成年人在执行12项任务时接受了功能磁共振成像(fMRI)检查,其中3项任务分别针对以下认知参考能力:情景记忆、推理、感知速度和词汇。衍生的rann(1)对其特定的认知领域表现出选择性激活,(2)与行为表现相关。我们的方法建立了蒙特卡罗5倍交叉验证的准样本外复制,所有模式都表明了它们相应的参考能力,并在一定程度上显著高于随机水平地预测了持有数据的性能。情景记忆、推理和词汇的rann模式表达选择性地与年龄相关,而感知速度的模式则没有这种与年龄相关的影响。对于每个参与者,我们还研究了由认知参考能力衍生的rann模式未解释的剩余活动。较高的残余活动与较差的大脑结构健康和年龄有关,但除了词汇外,与认知表现无关,这表明大脑结构健康较差的老年参与者可能需要其他神经资源来维持表现水平。
To better understand the impact of aging, along with other demographic and brain health variables, on the neural networks that support different aspects of cognitive performance, we applied a brute-force search technique based on Principal Components Analysis to derive 4 corresponding spatial covariance patterns (termed Reference Ability Neural Networks –RANNs) from a large sample of participants across the age range. Two hundred and fifty-five clinically healthy, community-dwelling adults, aged 20–77, underwent fMRI while performing 12 tasks, 3 tasks for each of the following cognitive reference abilities: Episodic Memory, Reasoning, Perceptual Speed, and Vocabulary. The derived RANNs (1) showed selective activation to their specific cognitive domain and (2) correlated with behavioral performance. Quasi out-of-sample replication with Monte-Carlo 5-fold cross validation was built into our approach, and all patterns indicated their corresponding reference ability and predicted performance in held-out data to a degree significantly greater than chance level. RANN-pattern expression for Episodic Memory, Reasoning and Vocabulary were associated selectively with age, while the pattern for Perceptual Speed showed no such age-related influences. For each participant we also looked at residual activity unaccounted for by the RANN-pattern derived for the cognitive reference ability. Higher residual activity was associated with poorer brain-structural health and older age, but –apart from Vocabulary- not with cognitive performance, indicating that older participants with worse brain-structural health might recruit alternative neural resources to maintain performance levels.
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