Intra-Individual Cognitive Variability (IICV) predicts progression in neurocognitive disorders . Given important clinical applications, we investigated the association between IICV and multiple brain metrics across 17 networks to better understand the brain mechanisms underlying this performance measure. Sixty-three middle-aged and older adults without dementia underwent a neuropsychological battery, resting-state fMRI, and structural MRI scans. In a linear mixed effect model, higher IICV was associated with lower functional connectivity in control C network relative to medial occipital network (the reference). A multivariate partial least squares analysis revealed that lower mean and higher variability were both associated with lower connectivity in sensorimotor and default mode networks, while higher mean and higher variability were associated with lower volume in default mode and limbic networks. This study suggests that IICV signals widespread network dysfunction across multiple brain networks. These brain abnormalities offer new insights into mechanisms of early cognitive dysfunction. Clinical implications are discussed.

中文翻译：

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神经心理学评估中的个体认知变异性：神经网络功能障碍的标志。

个体认知变异性 (IICV) 可预测神经认知障碍的进展。鉴于重要的临床应用，我们调查了 IICV 与 17 个网络中的多个大脑指标之间的关联，以更好地了解这种性能测量背后的大脑机制。63 名没有痴呆的中老年人接受了神经心理电池、静息状态 fMRI 和结构 MRI 扫描。在线性混合效应模型中，相对于内侧枕骨网络（参考），较高的 IICV 与控制 C 网络中较低的功能连接性相关。多元偏最小二乘分析表明，较低的均值和较高的变异性都与感觉运动和默认模式网络中的较低连通性有关，而较高的平均值和较高的可变性与默认模式和边缘网络中的较低容量相关。这项研究表明，IICV 标志着跨多个大脑网络的广泛网络功能障碍。这些大脑异常为早期认知功能障碍的机制提供了新的见解。临床意义进行了讨论。