Predicting response time variability from task and resting-state functional connectivity in the aging brain.
Predicting response time variability from task and resting-state functional connectivity in the aging brain.
复制标题
DOI：
10.1016/j.neuroimage.2022.118890
复制
发表时间：
2022-04-15
期刊：
影响因子：
5.7
通讯作者：
Prakash, Ruchika Shaurya
中科院分区：
文献类型：
--
作者：
Gbadeyan, Oyetunde;Teng, James;Prakash, Ruchika Shaurya
关键词：
衰老与许多认知功能的下降有关，包括注意力控制、抑制控制、情景记忆、处理速度和执行功能。理论模型将与年龄相关的认知功能下降归因于目标维持和注意力抑制的缺陷。尽管执行控制资源有这些有据可查的下降，但在使用任务嵌入式思维探针进行评估时，老年人认可较少的走神事件。此外，以前关于走神的神经基础的工作主要集中在年轻人身上，研究主要集中在少数几个典型网络的活动和连接上。然而，与衰老中的走神相关的全脑功能网络尚未被表征。在这项研究中，使用响应时间变异性的试验到试验波动的行为反应，作为一个间接标记的走神或“出区”的注意力状态表示次优的行为表现，我们表明，基于大脑的预测模型的响应时间变异性可以来自全脑任务功能连接。与此相反，模型来自静息状态功能连接单独没有预测个体反应时间的变异性。最后，我们表明，尽管成功的样本内预测的响应时间变异性，我们的模型并没有推广到预测响应时间变异性的独立队列的老年人与休息状态连接。总的来说，我们的研究结果提供了证据的实用性任务为基础的功能连接在预测个人反应时间的变化，在老化。未来的研究需要得出更强大和更普遍的模型。
Aging is associated with declines in a host of cognitive functions, including attentional control, inhibitory control, episodic memory, processing speed, and executive functioning. Theoretical models attribute the age-related decline in cognitive functioning to deficits in goal maintenance and attentional inhibition. Despite these well-documented declines in executive control resources, older adults endorse fewer episodes of mind-wandering when assessed using task-embedded thought probes. Furthermore, previous work on the neural basis of mind-wandering has mostly focused on young adults with studies predominantly focusing on the activity and connectivity of a select few canonical networks. However, whole-brain functional networks associated with mind-wandering in aging have not yet been characterized. In this study, using response time variability—the trial-to-trial fluctuations in behavioral responses—as an indirect marker of mind-wandering or an “out-of-the-zone” attentional state representing suboptimal behavioral performance, we show that brain-based predictive models of response time variability can be derived from whole-brain task functional connectivity. In contrast, models derived from resting-state functional connectivity alone did not predict individual response time variability. Finally, we show that despite successful within-sample prediction of response time variability, our models did not generalize to predict response time variability in independent cohorts of older adults with resting-state connectivity. Overall, our findings provide evidence for the utility of task-based functional connectivity in predicting individual response time variability in aging. Future research is needed to derive more robust and generalizable models.
登录
查看更多内容
影响因子：
3.5
作者：
Abraham A;Pedregosa F;Eickenberg M;Gervais P;Mueller A;Kossaifi J;Gramfort A;Thirion B;Varoquaux G
通讯作者：
Varoquaux G
影响因子：
3.7
作者：
Carriere, Jonathan S. A.;Cheyne, J. Allan;Smilek, Daniel
通讯作者：
Smilek, Daniel
影响因子：
5.7
作者：
Diedrichsen, Joern;Balsters, Joshua H.;Ramnani, Narender
通讯作者：
Ramnani, Narender
影响因子：
48
作者：
Esteban, Oscar;Markiewicz, Christopher J.;Gorgolewski, Krzysztof J.
通讯作者：
Gorgolewski, Krzysztof J.
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y