Predictive utility of task-related functional connectivity vs. voxel activation.
Predictive utility of task-related functional connectivity vs. voxel activation.
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DOI：
10.1371/journal.pone.0249947
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Stern Y
中科院分区：
文献类型：
--
作者：
Habeck C;Razlighi Q;Stern Y
在过去的15年里，静息状态和任务表现的功能连接在神经影像学研究中的份额稳步增加。在目前的研究中，我们调查了240名年龄在20-77岁的参与者在4个认知参考领域（情景记忆、流体推理、感知速度和词汇）的12个认知任务中体素激活和功能连接的预测效用，以及行为表现和任务信息。我们还添加了一个模型，该模型仅包含在执行认知任务期间未特别获得的大脑结构信息。我们使用了一种基于主成分分析（PCA）和回归的简单脑行为预测技术，并研究了这两种模式在准样本外预测中的效用，使用分样本模拟（= 5倍蒙特卡罗交叉验证）进行1000次迭代，其中回归模型预测认知结果在训练样本中估计，随后在非重叠测试样本中评估预测成功。在功能连接、体素激活和大脑结构方面，样本分配是相同的，从而可以对预测效用进行同类比较。所有被调查的3个模型都包括人口统计学协变量年龄、性别和受教育年限。使用仅包含这3个协变量的简单线性回归的最小参考模型也被纳入比较，并使用与上述相同的重新采样方案进行评估。体素激活和功能连接的比较结果是混合的，并显示出一定的依赖于认知结果；然而，就模态内可变性或预测成功而言，体素激活和功能连接之间的预测效用的平均差异相当小。更值得注意的是，只有在流体推理的情况下，并发功能神经成像提供了超越结构脑成像或最小参考模型的令人信服的认知表现。
Functional connectivity, both in resting state and task performance, has steadily increased its share of neuroimaging research effort in the last 1.5 decades. In the current study, we investigated the predictive utility regarding behavioral performance and task information for 240 participants, aged 20–77, for both voxel activation and functional connectivity in 12 cognitive tasks, belonging to 4 cognitive reference domains (Episodic Memory, Fluid Reasoning, Perceptual Speed, and Vocabulary). We also added a model only comprising brain-structure information not specifically acquired during performance of a cognitive task. We used a simple brain-behavioral prediction technique based on Principal Component Analysis (PCA) and regression and studied the utility of both modalities in quasi out-of-sample predictions, using split-sample simulations (= 5-fold Monte Carlo cross validation) with 1,000 iterations for which a regression model predicting a cognitive outcome was estimated in a training sample, with a subsequent assessment of prediction success in a non-overlapping test sample. The sample assignments were identical for functional connectivity, voxel activation, and brain structure, enabling apples-to-apples comparisons of predictive utility. All 3 models that were investigated included the demographic covariates age, gender, and years of education. A minimal reference model using simple linear regression with just these 3 covariates was included for comparison as well and was evaluated with the same resampling scheme as described above. Results of the comparison between voxel activation and functional connectivity were mixed and showed some dependency on cognitive outcome; however, mean differences in predictive utility between voxel activation and functional connectivity were rather small in terms of within-modality variability or predictive success. More notably, only in the case of Fluid Reasoning did concurrent functional neuroimaging provided compelling about cognitive performance beyond structural brain imaging or the minimal reference model.
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